DANTE

2026

• GoodTP: An Effective Data Selection Framework for Enhancing Trajectory Similarity Learning via Monte Carlo Tree Search.
  Haitao Yuan, Gao Cong.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Are Learned DBMS Components Robust to Workload Drift?
  Zizhong Meng, Gao Cong, Siqiang Luo.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness.
  Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks Lakshmanan.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage.
  Haoxuan Xie, Junfeng Liu, Siqiang Luo, Kai Wang.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Maximal Biclique Enumeration with Improved Worst-Case Time Complexity Guarantee: A Partition-Oriented Strategy.
  Kaixin Wang, Kaiqiang Yu, Cheng Long.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Querying Cohesive Subgraphs in Temporal Graphs.
  Yinyu Liu, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph.
  Qiang Yue, Mengzhao Wang, Xiaoliang Xu, Cheng Long, Yuxiang Wang, Jiahui Wang.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements.
  Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zhaoquan Gu.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Succinct Structure Representations for Efficient Query Optimization.
  Zhekai Jiang, Qichen Wang, Christoph Koch.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• Towards Selecting Informative Alternative Relational Query Plans for Database Education.
  Hu Wang, Hui Li, Sourav S. Bhowmick, Zihao Ma.
  SIGMOD Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, Bengaluru, India, June 2026.
• RETRO: A Visual Tool for Understanding Cardinality Estimation Errors For Database Education.
  Yani Zhang, Bingying Zhai, Hui Li, Sourav Bhowmick.
  SIGMOD Demo Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, June 2026.
• MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows.
  Xueling Lin, Bingyu Liu, Gao Cong.
  SIGMOD Demo Proceedings of the 52nd ACM SIGMOD International Conference on Management of Data, June 2026.
• Near-Optimality for Single-Source Personalized PageRank.
  Xinpeng Jiang, Haoyu Liu, Siqiang Luo, Xiaokui Xiao.
  PODS Proceedings of the 46th ACM Symposium on Principles of Database Systems, Bengaluru, India, June 2026.
• Towards Parameterized Hardness on Maintaining Conjunctive Queries.
  Qichen Wang.
  PODS Proceedings of the 46th ACM Symposium on Principles of Database Systems, Bengaluru, India, June 2026.
• Bound-Adorned Datalog.
  Christian Fattebert, Zhekai Jiang, Christoph Koch, Reinhard Pichler, Qichen Wang.
  PODS Proceedings of the 46th ACM Symposium on Principles of Database Systems, Bengaluru, India, June 2026.
• Listing Minimal Cores in Large Real-World Graphs.
  Yukai Sun, Kaiqiang Yu, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong, Xun Zhou, Min Zhang.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• TS3D: A Temporal Multimodal Dataset for Distributed Database System Analysis.
  Yuanyuan Yao, Yuhan Shi, Yian Wei, Lu Chen, Mourad Khayati, Cheng Long, Tianyi Li.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG.
  Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• SOLAR: Efficient Spatial Queries on Real-time LSM-based Storage.
  Jingyi Yang, Jiachen Shi, Jian Chen, Gao Cong.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities.
  Jingyi Yang, Songsong Mo, Jiachen Shi, Zihao Yu, Kunhao Shi, Xuchen Ding, Gao Cong.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• DIFFCOM: Conditional Discrete Diffusion Model for Community Search.
  Ling Li, Liang Bai, Siqiang Luo, Yejiang Wang, Yuhai Zhao.
  IEEE ICDE Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.
• PiPer - Leveraging Pipeline Perspectives for Effective Data Pipeline Exploration.
  Melanie Herschel, Ridhwan Hakim Bin Kusni.
  IEEE ICDE Demo Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 2026.

2025

• GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval.
  Yi Li, Gao Cong.
  PVLDB Proceedings of the VLDB Endowment, 18(5), 2025.
• Are Joins over LSM-trees Ready: Take RocksDB as an Example.
  Weiping Yu, Fan Wang, Xuwei Zhang, Siqiang Luo.
  PVLDB Proceedings of the VLDB Endowment, 18(4), 2025.
• RankPQO: Learning-to-Rank for Parametric Query Optimization.
  Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong.
  PVLDB Proceedings of the VLDB Endowment, 18(3), 2025.
• Maximum k-Plex Search: An Alternated Reduction-and-Bound Method.
  Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long.
  PVLDB Proceedings of the VLDB Endowment, 18(2), 2024.
• Themis: A GPU-accelerated Relational Query Execution Engine.
  Kijae Hong, Kyoungmin Kim, Young-Koo Lee, Yang-Sae Moon, Sourav S. Bhowmick, Wook-Shin Han.
  PVLDB Proceedings of the VLDB Endowment, 18(2), 2024.
• LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
  Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong.
  PVLDB Proceedings of the VLDB Endowment, 18(1), 2025.
• Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach.
  Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks Lakshmanan, Reynold Cheng.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search.
  Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, Raymond Chi-Wing Wong.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Efficient Maximum s-Bundle Search via Local Vertex Connectivity.
  Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph.
  Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• SymphonyQG: towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search.
  Yutong Gou, Jianyang Gao, Yuexuan Xu, Cheng Long.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search.
  Yuexuan Xu, Jianyang Gao, Yutong Gou, Cheng Long, Christian S. Jensen.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data.
  Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• NEXT: A New Secondary Index Framework for LSM-based Data Storage.
  Jiachen Shi, Jingyi Yang, Gao Cong, Xiaoli Li.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• MAST: Towards Efficient Analytical Query Processing on Point Cloud Data.
  Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Optimizing LSM-trees via Active Learning.
  Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Demonstrating MAST: An Efficient System for Point Cloud Data Analytics.
  Jiangneng Li, Haitao Yuan, Jie Wang, Ziting Wang, Han Mao Kiah, Gao Cong.
  SIGMOD Demo Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, June 2025.
• VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity.
  Meng Li, Huayi Chai, Siqiang Luo, Haipeng Dai, Rong Gu, Jiaqi Zheng, Guihai Chen.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Aster: Enhancing LSM-structures for Scalable Graph Database.
  Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• How to Grow an LSM-tree: Towards Bridging The Gap Between Theory and Practice.
  Dingheng Mo, Siqiang Luo, Stratos Idreos.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management.
  Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng.
  SIGMOD Tutorial Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• LICS: Towards Theory-Informed Effective Visual Abstraction of Property Graph Schemas.
  Kasidis Chantharojwong, Sourav S Bhowmick, Byron Choi.
  SIGMOD Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• PASCAL: A Theory-Informed Visual Interface for Property Graph Schema Visualization.
  Kasidis Chantharojwong, Sourav S Bhowmick, Byron Choi.
  SIGMOD Demo Proceedings of the 51st ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 2025.
• SIGMA: An Efficient Heterophilous Graph Neural Network With Similarity-based Efficient Global Aggregation.
  Haoyu Liu, Ningyi Liao, Siqiang Luo.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• Finding Near-Optimal Maximum Set of Disjoint k-Cliques in Real-World Social Networks.
  Wenqing Lin, Xin Chen, Haoxuan Xie, Sibo Wang, Siqiang Luo.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing.
  Peng Fang, Siqiang Luo, Fang Wang, Bolong Zheng, Hong Jiang, Dan Feng, Hechang Pan, Xinyu Wang.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction.
  Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
  Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• Maximal Clique Enumeration with Hybrid Branching and Early Termination.
  Kaixin Wang, Kaiqiang Yu, Cheng Long.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search.
  Guozhong Li, Byron Choi, Rundong Zuo, Sourav S Bhowmick, Jianliang Xu.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• Experimental Analysis of Multi-step Pipelines for Fair Classifications – More than the Sum of Their Parts?
  Nico Lässig, Melanie Herschel.
  IEEE ICDE Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 2025.
• LIST: learning to index spatio-textual data for embedding based spatial keyword queries.
  Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui.
  VLDBJ The VLDB Journal, 34(3), 2025.
• Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding.
  Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(1), 2025.
• Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
  Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(1), 2025.
• Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction.
  Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(2), 2025.
• Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning.
  Kai Wang, Dan Lin, Siqiang Luo.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(3), 2025.
• G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model.
  Lyuheng Yuan, Guimu Guo, Danshu Yan, Saugat Adhikari, Jalal Khalil, Cheng Long, Lei Zou.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(6), 2025.
• Minimum $k$-Vertex Connected Graph Search.
  Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(7), 2025.
• Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series.
  Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(7), 2025.
• ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.
  Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(8), 2025.
• On Searching and Querying Maximum Directed $(k,\ell)$-Plex.
  Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 37(8), 2025.

2024

• TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning.
  Kai Wang, Yuwei Xu, Siqiang Luo.
  PVLDB Proceedings of the VLDB Endowment, 17, 2024.
• BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank.
  Haoyu Liu, Siqiang Luo.
  PVLDB Proceedings of the VLDB Endowment, 17(9), 2024.
• GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs.
  Zihao Yu, Ningyi Liao, Siqiang Luo.
  PVLDB Proceedings of the VLDB Endowment, 17(9), 2024.
• Oasis: An Optimal Disjoint Segmented Learned Range Filter.
  Guanduo Chen, Zhenying He, Meng Li, Siqiang Luo.
  PVLDB Proceedings of the VLDB Endowment, 17(8), 2024.
• Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network.
  Haitao Yuan, Gao Cong, Guoliang Li.
  PVLDB Proceedings of the VLDB Endowment, 17(7), 2024.
• A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies.
  Yue Zhao, Zhaodonghui Li, Gao Cong.
  PVLDB Proceedings of the VLDB Endowment, 17, 2024.
• Trajectory Similarity Measurement: An Efficiency Perspective.
  Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi.
  PVLDB Proceedings of the VLDB Endowment, 17(9), 2024.
• TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals.
  Yile Chen, Gao Cong, Cuauhtemoc Anda.
  PVLDB Proceedings of the VLDB Endowment, 17, 2024.
• DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series.
  Rundong Zuo, Guozhong Li, Rui Cao, Byron Choi, Jianliang Xu, Sourav S Bhowmick.
  PVLDB Proceedings of the VLDB Endowment, 17(11), 2024.
• Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space.
  Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
  Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.
  Kaixin Wang, Kaiqiang Yu, Cheng Long.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search.
  Jianyang Gao, Cheng Long.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach.
  Kaiqiang Yu, Cheng Long.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Predictive and Near-Optimal Sampling for View Materialization in Video Databases.
  Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation.
  Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• PLATON: Top-down R-tree Packing with Learned Partition Policy.
  Jingyi Yang, Gao Cong.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes.
  Zizhong Meng, Xin Cao, Gao Cong.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries.
  Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Temporal JSON Keyword Search.
  Curtis Dyreson, Amani Shatnawi, Sourav S Bhowmick, Vishal Sharma.
  SIGMOD Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• SIERRA: A Counterfactual Thinking-based Visual Interface for Property Graph Query Construction.
  Jiebing Ma, Sourav S Bhowmick, Lester Tay, Byron Choi.
  SIGMOD Demo Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Cognitive Psychology Meets Data Management: State of the Art and Future Directions.
  Sourav S Bhowmick, Annabel S. H. Chen, Divesh Srivastava.
  SIGMOD Tutorial Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• Machine Learning for Databases: Foundations, Paradigms, and Open problems.
  Gao Cong, Jingyi Yang, Yue Zhao.
  SIGMOD Tutorial Proceedings of the 50th ACM SIGMOD International Conference on Management of Data, Santiago, Chile, June 2024.
• AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
  Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
  Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Quantum Algorithm for Maximum K-Plex Problem.
  Xiaofan Li, Gao Cong, Rui Zhou.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Personalized PageRanks over Dynamic Graphs -- The Case for Optimizing Quality of Service.
  Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
  Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• On Searching Maximum Directed (k,l)-Plex.
  Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach.
  Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
  Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng.
  IEEE ICDE Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• MorphStream: Scalable Processing of Transactions over Streams.
  Siqi Xiang, Zhonghao Yang, Shuhao Zhang, Jianjun Zhao, Yancan Mao.
  IEEE ICDE Demo Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, The Netherlands, May 2024.
• Scalable decoupling graph neural network with feature-oriented optimization.
  Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin.
  VLDBJ The VLDB Journal, 33(3), 2024.
• Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining.
  Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 36(4), 2024.
• DKWS: A Distributed System for Keyword Search on Massive Graphs.
  Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, Sourav S. Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 36(5), 2024.

2023

• Machine Learning for Subgraph Extraction: Methods, Applications and Challenges.
  Yow Kai Siong, Ningyi Liao, Siqiang Luo, Reynold Cheng.
  PVLDB Tutorial Proceedings of the VLDB Endowment, 16(12), 2023.
• Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
  Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou.
  PVLDB Proceedings of the VLDB Endowment, 16(10), 2023.
• Towards Designing and Learning Piecewise Space-Filling Curves.
  Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui.
  PVLDB Proceedings of the VLDB Endowment, 16(9), 2023.
• Distributed Graph Embedding with Information-Oriented Random Walks.
  Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao.
  PVLDB Proceedings of the VLDB Endowment, 16(7), 2023.
• Learned Index Benefits: Machine Learning Based Index Performance Estimation.
  Jiachen Shi, Gao Cong, Xiaoli Li.
  PVLDB Proceedings of the VLDB Endowment, 15(13), 2023.
• Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries.
  Jiebing Ma, Sourav S Bhowmick, Byron Choi, Lester Tay.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• A Framework for Privacy Preserving Localized Graph Pattern Query Processing.
  Lyu Xu, Byron Choi, Yun Peng, Jianliang Xu, Sourav S Bhowmick.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• ARENA: Alternative Relational Query Plan Exploration to Augment Database Education.
  Hu Wang, Hui Li, Sourav S Bhowmick, Baochao Xu.
  SIGMOD Demo Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries.
  Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, Fuzheng Zhang.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.
  Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• Mining Geospatial Relationships from Text.
  Pasquale Balsebre, Dezhong Yao, Weiming Huang, Gao Cong, Zhen Hai.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• WISK: A Workload-aware Learned Index for Spatial Keyword Queries.
  Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations.
  Jianyang Gao, Cheng Long.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach.
  Kaiqiang Yu, Cheng Long.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph.
  Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang.
  SIGMOD Proceedings of the 49th ACM SIGMOD International Conference on Management of Data, Seattle, USA, June 2023.
• Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
  Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao.
  EDBT Proceedings of the 26th International Conference on Extended Database Technology, Ioannina, Greece, March 2023.
• Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
  Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi.
  IEEE ICDE Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, USA, April 2023.
• Most Probable Densest Subgraphs.
  Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long.
  IEEE ICDE Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, USA, April 2023.
• Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
  Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish.
  IEEE ICDE Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, USA, April 2023.
• COCLEP: Contrastive Learning-based Semi-Supervised Community Search.
  Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Qin Lu.
  IEEE ICDE Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, USA, April 2023.
• Example Searcher: A Spatial Query System via Example.
  Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo.
  IEEE ICDE Demo Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, USA, April 2023.
• CLOSET: Data-Driven COI Detection and Management in Peer-Review Venues.
  Sourav S. Bhowmick.
  CACM Communications of the ACM, 66(7), 2023.
• To Draw Is Human: Toward No-Code Subgraph Search.
  Sourav S. Bhowmick, Byron Choi.
  CACM Communications of the ACM, 66(7), 2023.
• PANE: scalable and effective attributed network embedding.
  Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu.
  VLDBJ The VLDB Journal, 32(6): 1237-1262, 2023.
• STAR: A Cache-based Stream Warehouse System for Spatial Data.
  Zhida Chen, Gao Cong, Walid G. Aref.
  TSAS ACM Transactions on Spatial Algorithms and Systems, 9(4), 2023.
• Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.
  Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(12): 12987-13001, 2023.
• Efficient Community Search in Edge-Attributed Graphs.
  Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(10): 10790-10806, 2023.
• Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach.
  Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(10): 10807-10813, 2023.
• Region Embedding With Intra and Inter-View Contrastive Learning.
  Liang Zhang, Cheng Long, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(9): 9031-9036, 2023.
• Single-Source Personalized PageRanks With Workload Robustness.
  Dingheng Mo, Siqiang Luo.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(6): 6320-6334, 2023.
• Similar Sports Play Retrieval With Deep Reinforcement Learning.
  Zheng Wang, Cheng Long, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(4): 4253-4266, 2023.
• k-Pleased Querying.
  Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(4): 4003-4017, 2023.
• Filling Delivery Time Automatically Based on Couriers' Trajectories.
  Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(2): 1528-1540, 2023.
• Cost-Aware and Distance-Constrained Collective Spatial Keyword Query.
  Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(2): 1324-1326, 2023.
• On Efficient Large Maximal Biplex Discovery.
  Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 35(1): 824-829, 2023.

2022

• QueryFormer: A Tree Transformer Model for Query Plan Representation.
  Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao.
  PVLDB Proceedings of the VLDB Endowment, 15(8), 2022.
• ABC: Attributed Bipartite Co-clustering.
  Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao.
  PVLDB Proceedings of the VLDB Endowment, 15(11), 2022.
• Example-based Spatial Pattern Matching.
  Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah.
  PVLDB Proceedings of the VLDB Endowment, 15(11), 2022.
• SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
  Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin.
  PVLDB Proceedings of the VLDB Endowment, 15(11), 2022.
• MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education.
  Jess Tan, Desmond Yeo, Rachael Neoh, Huey Eng Chua, Sourav S Bhowmick.
  PVLDB Demo Proceedings of the VLDB Endowment, 15(12), 2022.
• SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data.
  Li Yan, Nerissa Xu, Guozhong Li, Sourav S Bhowmick, Byron Choi, Jianliang Xu.
  PVLDB Demo Proceedings of the VLDB Endowment, 15(12), 2022.
• DMCS : Density Modularity based Community Search.
  Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu.
  SIGMOD Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• Proteus: A Self-Designing Range Filter.
  Eric Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher.
  SIGMOD Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• Efficient Algorithms for Maximal k-Biplex Enumeration.
  Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan.
  SIGMOD Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• SAM: Database Generation from Query Workload with Supervised Autoregressive Model.
  Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He.
  SIGMOD Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• Entity Resolution with Hierarchical Graph Attention Network.
  Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv.
  SIGMOD Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future.
  Sourav S Bhowmick, Byron Choi.
  SIGMOD Tutorial Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks.
  Zifeng Yuan, Huey-Eng Chua, Sourav S Bhowmick, Zekun Ye, Byron Choi, Wook-Shin Han.
  SIGMOD Demo Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• LANTERN: Boredom-conscious Natural Language Description Generation of Query Execution Plans for Database Education.
  Peng Chen, Hui Li, Sourav S Bhowmick, Shafiq R Joty, Weiguo Wang.
  SIGMOD Demo Proceedings of the 48th ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, June 2022.
• Example-based Spatial Search at Scale.
  Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun.
  IEEE ICDE Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• Maximal Directed Quasi-Clique Mining.
  Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou.
  IEEE ICDE Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• IPS: Instance Profile for Shapelet Discovery for Time Series Classification.
  Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Daphne Mah, Grace Lai-Hung Wong.
  IEEE ICDE Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling.
  Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu.
  IEEE ICDE Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
  Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han.
  IEEE ICDE Demo Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories.
  Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng.
  IEEE ICDE Industrial Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.
• Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model.
  Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma.
  EDBT Proceedings of the 25th International Conference on Extended Database Technology, Edinburgh, Scotland, March 2022.
• Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.
  Li Meng, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen.
  WWW Proceedings of the Web Conference, Lyon, France, April 2022.
• Geospatial Entity Resolution.
  Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai.
  WWW Proceedings of the Web Conference, Lyon, France, April 2022.
• Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
  Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang.
  ACM TODS ACM Transactions on Database Systems, 47(2): 7:1-7:57, 2022.
• Proximity Queries on Terrain Surface.
  Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount, Hanan Samet.
  ACM TODS ACM Transactions on Database Systems, 47(4): 15:1-15:59, 2022.
• A Survey on Trajectory Data Management, Analytics, and Learning.
  Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong.
  ACM CSurv ACM Computing Surveys, 54(2): 39:1-39:36, 2022.
• Let Trajectories Speak Out the Traffic Bottlenecks.
  Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa.
  ACM TIST ACM Transactions on Intelligent Systems and Technology, 13(1), 2022.
• Towards Technology-Enabled Learning of Relational Query Processing.
  Sourav S. Bhowmick, Hui Li.
  IEEE Data Engineering Bulletin, 45(3): 29-46, 2022.
• No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
  Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu.
  SIGMOD Record, 51(1): 42-49, 2022.
• Distributed PageRank computation with improved round complexities.
  Siqiang Luo, Xiaowei Wu, Ben Kao.
  Information Sciences, 607: 109-125, 2022.
• Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases.
  Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long, Chunyan Miao.
  TCC IEEE Transactions on Cloud Computing, 10(2): 1445-1461, 2022.
• PGeoTopic: A Distributed Solution for Mining Geographical Topic Models.
  Kaiqi Zhao, Gao Cong, Xiucheng Li.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(2): 881-893, 2022.
• Efficient Shapelet Discovery for Time Series Classification.
  Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(3): 1149-1163, 2022.
• GFocus: User Focus-Based Graph Query Autocompletion.
  Peipei Yi, Byron Choi, Zhiwei Zhang, Sourav S. Bhowmick, Jianliang Xu.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(4): 1788-1802, 2022.
• Deterministic Inference of Topic Models via Maximal Latent State Replication.
  Daniel Rugeles, Zhen Hai, Manoranjan Dash, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(4): 1684-1695, 2022.
• A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning.
  Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(10): 4554-4571, 2022.
• Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.
  Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 34(11): 5415-5428, 2022.

2021

• Agenda: Robust Personalized PageRanks in Evolving Graphs.
  Dingheng Mo, Siqiang Luo.
  CIKM Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Gold Coast, Australia, November 2021.
• Kandinsky Mobile: Abstract Art-Inspired Interactive Visualization of Social Discussions on Mobile Devices.
  Castillo Clarence Fitzgerald Gumtang, Sourav S. Bhowmick.
  ACM MM Proceedings of the 29th ACM International Conference on Multimedia, Chengdu, China, October 2021.
• Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
  Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui.
  PVLDB Proceedings of the VLDB Endowment, 15(4), 2021.
• Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
  Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang.
  PVLDB Proceedings of the VLDB Endowment, 15(3), 2021.
• Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks.
  Zifeng Yuan, Huey-Eng Chua, Sourav S Bhowmick, Zekun Ye, Wook-Shin Han, Byron Choi.
  PVLDB Proceedings of the VLDB Endowment, 14(11), 2021.
• Shortest Paths and Centrality in Uncertain Networks.
  Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi.
  PVLDB Proceedings of the VLDB Endowment, 14(7), 2021.
• A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation.
  Peizhi Wu, Gao Cong.
  SIGMOD Proceedings of the 47th ACM SIGMOD International Conference on Management of Data, Xi'an, China, June 2021.
• MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces.
  Kai Huang, Huey-Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 47th ACM SIGMOD International Conference on Management of Data, Xi'an, China, June 2021.
• MIDAS: Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans.
  Weiguo Wang, Sourav S Bhowmick, Hui Li, Shafiq Joty, Siyuan Liu, Peng Chen.
  SIGMOD Proceedings of the 47th ACM SIGMOD International Conference on Management of Data, Xi'an, China, June 2021.
• Temporal Analysis of the Entire Ethereum Blockchain Network.
  Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo.
  ACM WWW Proceedings of the 30th Web Conference, Apr 2021.
• Trajectory Simplification with Reinforcement Learning.
  Zheng Wang, Cheng Long, Gao Cong.
  IEEE ICDE Proceedings of the 37th IEEE International Conference on Data Engineering, Chania Greece, Apr 2021.
• Privacy Preserving Strong Simulation Queries for Large Graphs.
  Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu, Sourav S Bhowmick.
  IEEE ICDE Proceedings of the 37th IEEE International Conference on Data Engineering, Chania Greece, Apr 2021.
• Self-Supervised Deep Metric Learning for Pointsets.
  Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong.
  IEEE ICDE Proceedings of the 37th IEEE International Conference on Data Engineering, Chania Greece, Apr 2021.
• Location- and keyword-based querying of geo-textual data: a survey.
  Zhida Chen, Lisi Chen, Gao Cong, Christian S. Jensen.
  VLDBJ The VLDB Journal, 30(4): 603-640, 2021.
• A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs.
  Jiaxin Jiang, Byron Choi, Jianliang Xu, Sourav S. Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 33(6): 2322-2336, 2021.

2020

• Scaling Attributed Network Embedding to Massive Graphs.
  Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S Bhowmick.
  PVLDB Proceedings of the VLDB Endowment, 14(1), 2020.
• SSTD: A Distributed System on Streaming Spatio-Textual Data.
  Yue Chen, Zhida Chen, Gao Cong, Ahmed R. Mahmood, Walid G. Aref.
  PVLDB Proceedings of the VLDB Endowment, 13(11), 2020.
• Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.
  Zheng Wang, Cheng Long, Gao Cong, Yiding Liu.
  PVLDB Proceedings of the VLDB Endowment, 13(11), 2020.
• Mining Top-k Pairs of Correlated Subgraphs in a Large Network.
  Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu.
  PVLDB Proceedings of the VLDB Endowment, 13(9), 2020.
• Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
  Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick.
  PVLDB Proceedings of the VLDB Endowment, 13(5), 2020.
• CHASSIS: Conformity Meets Online Information Diffusion.
  Hui Li, Hui Li, Sourav S Bhowmick.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020.
• G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching.
  Yeonsu Park, Seongyun Ko, Sourav S Bhowmick, Kyoungmin Kim, Kijae Hong, Wook-Shin Han.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020.
• Densely Connected User Community and Location Cluster Search in Location-Based Social Networks.
  Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Choudhury.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020.
• Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks.
  Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020.
• BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks.
  Yinglong Song, Huey-Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020 (Demo).
• AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases.
  Sourav S Bhowmick, Kai Huang, Huey Eng Chua, Zifeng Yuan, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020 (Demo).
• LATTE: Visual Construction of Smart Contracts.
  Sean Tan, Sourav S Bhowmick, Huey Eng Chua, Xiaokui Xiao.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020 (Demo).
• STAR: A Distributed Stream Warehouse System for Spatial Data.
  Zhida Chen, Gao Cong, Walid G. Aref.
  SIGMOD Proceedings of the 46th ACM SIGMOD International Conference on Management of Data, Portland, USA, June 2020 (Demo).
• Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs.
  Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan.
  IEEE ICDE Proceedings of the 36th IEEE International Conference on Data Engineering, Dallas, USA, Apr 2020.
• PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks.
  Jianxin Jiang, Xin Huang, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Lyu Xu.
  IEEE ICDE Proceedings of the 36th IEEE International Conference on Data Engineering, Dallas, USA, Apr 2020.
• Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling.
  Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao.
  IEEE ICDE Proceedings of the 36th IEEE International Conference on Data Engineering, Dallas, USA, Apr 2020.
• Spatial Transition Learning on Road Networks with Deep Probabilistic Models.
  Xiucheng Li, Gao Cong, Yun Cheng.
  IEEE ICDE Proceedings of the 36th IEEE International Conference on Data Engineering, Dallas, USA, Apr 2020.
• Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network.
  Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu.
  ACM WWW Proceedings of The Web Conference, Apr 2020.
• FERRARI: an efficient framework for visual exploratory subgraph search in graph databases.
  Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou.
  VLDBJ The VLDB Journal, 29(5), 2020.
• On Nearby-Fit Spatial Keyword Queries.
  Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 32(11), 2020.
• SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects.
  Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 32(11), 2020.
• K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks.
  Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 32(5), 2020.
• FROST: Movement History-Conscious Facility Relocation.
  Meng Wang, Hui Li, Jiangtao Cui, Sourav S. Bhowmick, Ping Liu.
  ACM TIST ACM Transactions on Intelligent Systems and Technology, 11(1), January 2020.

2019

• Finding Attribute-aware Similar Regions for Data Analysis.
  Kaiyu Feng, Gao Cong, Christian S. Jensen, Tao Guo.
  PVLDB Proceedings of the VLDB Endowment, 12(11), 2019.
• An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.
  Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan.
  PVLDB Proceedings of the VLDB Endowment, 12(8), 2019.
• CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation.
  Kai Huang, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 45th ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, June 2019.
• Efficient Estimation of Heat Kernel PageRank for Local Clustering.
  Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S Bhowmick, Jun Zhao, Rong-Hua Li.
  SIGMOD Proceedings of the 45th ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, June 2019.
• Distance-generalized Core Decomposition.
  Francesco Bonchi, Arijit Khan, Lorenzo Severini.
  SIGMOD Proceedings of the 45th ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, June 2019.
• NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education.
  Siyuan Liu, Sourav S Bhowmick, Wanlu Zhang, Shu Wang, Wanyi Huang, Shafiq Joty.
  SIGMOD Proceedings of the 45th ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, June 2019 (Demo).
• Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
  Di Yao, Gao Cong, Chao Zhang, Jingping Bi.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019.
• Fraction-Score: A New Support Measure for Co-location Pattern Mining.
  Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019.
• Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
  Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019.
• On Generalizing Collective Spatial Keyword Queries.
  Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019 (Extended Abstract).
• An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases.
  Chaohui Wang, Miao Xie, Sourav S Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019 (Short).
• FGreat: Focused Graph Query Autocompletion.
  Nathan Ng, Peipei Yi, Zhiwei Zhang, Byron Choi, Sourav S Bhowmick, Jianliang Xu.
  IEEE ICDE Proceedings of the 35th IEEE International Conference on Data Engineering, Macau, Apr 2019 (Demo).
• Evaluating Pattern Matching Queries for Spatial Databases.
  Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong.
  VLDBJ The VLDB Journal, 28(5), 2019.
• Exploring Market Competition over Topics in Spatio-temporal Document Collections.
  Kaiqi Zhao, Gao Cong, Jin Yao Chin, Rong Wen.
  VLDBJ The VLDB Journal, 28(1), 2019.

2018

• DANTE: Data and Information Management Research at Nanyang Technological University.
  Sourav S Bhowmick, Xiaokui Xiao.
  SIGMOD Record SIGMOD Record, 47(2), June 2018.
• Efficient Algorithms for Adaptive Influence Maximization.
  Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang.
  PVLDB Proceedings of the VLDB Endowment, 11(9), 2018.
• PANDA: A System for Partial Topology-based Search on Large Networks.
  Miao Xie, Sourav S Bhowmick, Hao Su, Gao Cong, Wook-Shin Han.
  PVLDB Proceedings of the VLDB Endowment, 11(12), 2018 (Demo).
• A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.
  Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi.
  PVLDB Proceedings of the VLDB Endowment, 11(12), 2018 (Demo).
• Human Interaction with Graphs: A Visual Querying Perspective.
  Sourav S Bhowmick, Byron Choi, Chengkai Li.
  Morgan & Claypool Publishers Morgan & Claypool Publishers, Synthesis Lectures on Data Management, Aug 2018.
• On Uncertain Graphs.
  Arijit Khan, Yuan Ye, Lei Chen.
  Morgan & Claypool Publishers Morgan & Claypool Publishers, Synthesis Lectures on Data Management, July 2018.
• On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage.
  Arijit Khan, Gustavo Segovia, Donald Kossmann.
  USENIX ATC Proceedings of USENIX Annual Technical Conference, Boston, USA, 2018.
• Efficient Similar Region Search with Deep Metric Learning.
  Yiding Liu, Kaiqi Zhao, Gao Cong.
  KDD Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK, 2018.
• BOOMER: Blending Visual Formulation and Processing of p-Homomorphic Queries on Large Networks.
  Yinglong Song, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 44th ACM SIGMOD International Conference on Management of Data, Houston, USA, 2018.
• Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration.
  Tao Guo, Kaiyu Feng, Gao Cong, Zhifeng Bao.
  SIGMOD Proceedings of the 44th ACM SIGMOD International Conference on Management of Data, Houston, USA, 2018.
• Efficient Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.
  Xiangyu Ke, Arijit Khan, Gao Cong.
  SIGMOD Proceedings of the 44th ACM SIGMOD International Conference on Management of Data, Houston, USA, 2018.
• PISTIS: A Conflict of Interest Declaration and Detection System for Peer Review Management.
  Siyuan Wu, Leong Hou U, Sourav S Bhowmick, Wolfgang Gatterbauer.
  SIGMOD Proceedings of the 44th ACM SIGMOD International Conference on Management of Data, Houston, USA, 2018 (Demo).
• POISam: An Efficient Object Selection System for Interactive and Visualized Exploration of Geospatial Data.
  Tao Guo, Mingzhao Li, Peishan Li, Zhifeng Bao, Gao Cong.
  SIGMOD Proceedings of the 44th ACM SIGMOD International Conference on Management of Data, Houston, USA, 2018 (Demo).
• Inf2vec: Latent Representation Model for Social Influence Embedding.
  Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee.
  IEEE ICDE Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, France, Apr 2018.
• On Spatial Pattern Matching.
  Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li.
  IEEE ICDE Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, France, Apr 2018.
• Deep Representation Learning for Trajectory Similarity Computation.
  Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei.
  IEEE ICDE Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, France, Apr 2018.
• SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects.
  Kaiyu Feng, Tao Guo, Gao Cong, Sourav S Bhowmick, Shuai Ma.
  IEEE ICDE Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, France, Apr 2018.
• SpaceKey: Exploring Patterns in Spatial Databases.
  Yixiang Fang, Reynold Cheng, Jikun Wang, Budiman Lim, Gao Cong, Nikos Mamoulis.
  IEEE ICDE Proceedings of the 34th IEEE International Conference on Data Engineering, Paris, France, Apr 2018 (Demo).
• Optimal Algorithms for Selecting Top-k Combinations of Attributes: Theory and Applications.
  Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao.
  VLDBJ The VLDB Journal, 27(1), 2018.
• Persisting RB-Tree into NVM in a Consistency Perspective.
  Chundong Wang, Qingsong Wei, Lingkun Wu, Sibo Wang, Cheng Chen, Xiaokui Xiao, Jun Yang, Mingdi Xue, Yechao Yang.
  TOS ACM Transactions on Storage, 14(1), 2018.
• Reverse k Nearest Neighbor Search over Trajectories.
  Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 30(4), 2018.

2017

• ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
  Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu.
  PVLDB Proceedings of the VLDB Endowment, 11(1), 2017.
• Revisiting the Stop-and-Stare Algorithms for Influence Maximization.
  Keke Huang, Sibo Wang, Glenn Bevilacqua, Xiaokui Xiao, Laks V.S. Lakshmanan.
  PVLDB Proceedings of the VLDB Endowment, 2017.
• HubPPR: Effective Indexing for Approximate Personalized PageRank.
  Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, and Zengxiang Li.
  PVLDB Proceedings of the VLDB Endowment, 10(3), 2017.
• Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
  Sibo Wang, Xiaokui Xiao, Yin Yang, Wenqing Lin.
  PVLDB Proceedings of the VLDB Endowment, 10(2), 2017.
• An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks.
  Yiding Liu, Tuan-Anh Pham, Gao Cong, Quan Yuan.
  PVLDB Proceedings of the VLDB Endowment, 10(10), 2017.
• PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases.
  Kai Huang, Sourav S Bhowmick, Shuigeng Zhou, Byron Choi.
  PVLDB Proceedings of the VLDB Endowment, 10(12), 2017 (Demo).
• Summarizing Static and Dynamic Big Graphs.
  Arijit Khan, Sourav S Bhowmick, Francesco Bonchi.
  PVLDB Proceedings of the VLDB Endowment, 10(12), 2017 (Tutorial).
• Distributed Algorithms on Exact Personalized PageRank.
  Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin.
  SIGMOD Proceedings of the 43rd ACM SIGMOD International Conference on Management of Data, Chicago, USA, 2017.
• Graph Querying Meets HCI: State of the Art and Future Directions.
  Sourav S Bhowmick, Byron Choi, Chengkai Li.
  SIGMOD Proceedings of the 43rd ACM SIGMOD International Conference on Management of Data, Chicago, USA, 2017 (Tutorial).
• FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
  Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang.
  SIGKDD Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.
• ASTERIX: Ambiguity and Missing Element-Aware XML Keyword Search Engine.
  Ba Quan Truong, Sourav S Bhowmick, Curtis Dyreson, Hong Jing Khok.
  SIGIR Proceedings of 40th international ACM SIGIR conference on Research and Development in Information Retrieval, 2017 (Demo).
• PriveSuper: A Superset-first Approach to Frequent Itemset Mining under Differential Privacy.
  Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu.
  IEEE ICDE Proceedings of the 33rd IEEE International Conference on Data Engineering, San Diego, USA, Apr 2017.
• Distributed Publish/Subscribe Query Processing in Spatio-Textual Data Stream.
  Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Fu, Lisi Chen.
  IEEE ICDE Proceedings of the 33rd IEEE International Conference on Data Engineering, San Diego, USA, Apr 2017.
• PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects.
  Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick, Zhenhua Dong.
  IEEE ICDE Proceedings of the 33rd IEEE International Conference on Data Engineering, San Diego, USA, Apr 2017 (Extended Abstract).
• Proxies for Shortest Path and Distance Queries.
  Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai.
  IEEE ICDE Proceedings of the 33rd IEEE International Conference on Data Engineering, San Diego, USA, Apr 2017 (Extended Abstract).
• Vertex-centric Graph Processing: The Good, The Bad, and The Ugly.
  Arijit Khan.
  EDBT Proceedings of the 20th International Conference on Extending Database Technology, Venice, Italy, March 2017.
• Select Your Questions Wisely: For Entity Resolution With Crowd Errors.
  Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan.
  CIKM In the Proceedings of 26th ACM International Conference on Information and Knowledge Management, Singapore, 2017.
• Conflict of Interest Declaration and Detection System in Heterogeneous Networks.
  Siyuan Wu, Leong Hou U, Sourav S. Bhowmick, Wolfgang Gatterbauer.
  CIKM In the Proceedings of 26th ACM International Conference on Information and Knowledge Management, Singapore, 2017.
• VISUAL: Simulation of Visual Subgraph Query Formulation to Enable Automated Performance Benchmarking.
  Sourav S. Bhowmick, Huey-Eng Chua, Byron Choi, Curtis E. Dyreson.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 29(8), 2017.
• Influence Maximization in Trajectory Databases.
  Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu, Kian-Lee Tan.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 29(3), 2017.
• Network Motif Discovery: A GPU Approach.
  Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 29(3), 2017.
• PrivBayes: Private Data Release via Bayesian Networks.
  Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao.
  TODS ACM Transactions on Database Systems, 42(4), 2017.
• PANDA: Toward Partial Topology-based Search on Large Networks in a Single Machine.
  Miao Xie, Sourav S. Bhowmick, Gao Cong, Qing Wang.
  VLDBJ The VLDB Journal, 26(2), 2017.
• AutoG: A Visual Query Autocompletion Framework for Graph Databases.
  Peipei Yi, Byron Choi, Sourav S. Bhowmick, Jianliang Xu.
  VLDBJ The VLDB Journal, 26(3), 2017.

2016

• Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities.
  Sourav S Bhowmick, Byron Choi, Curtis Dyreson.
  PVLDB Proceedings of the 42nd VLDB Endowment, New Delhi, India, 2016.
• AutoG: A Visual Query Autocompletion Framework for Graph Databases.
  Peipei Yi, Byron Choi, Sourav S Bhowmick, Jianliang Xu.
  PVLDB Proceedings of the 42nd VLDB Endowment, New Delhi, India, 2016 (Demo).
• Towards Personalized Maps: Mining User Preferences from Geo-textual Data.
  Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong.
  PVLDB Proceedings of the 42nd VLDB Endowment, New Delhi, India, 2016 (Demo).
• A System for Region Search and Exploration.
  Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong.
  PVLDB Proceedings of the 42nd VLDB Endowment, New Delhi, India, 2016 (Demo).
• DualSim: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine.
  Hyeonji Kim, JuneYoung Lee, Sourav S Bhowmick, Wook-Shin Han, Jeong Hoon Lee, Seongjun Ko, Moath Jarrah.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• Towards Best Region Search for Data Exploration.
  Kaiyu Feng, Gao Cong, Sourav S Bhowmick, Wen-Chih Peng, Chunyan Miao.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• Topic Exploration in Spatio-Temporal Document Collections.
  Kaiqi Zhao, Lisi Chen, Gao Cong.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
  Zhang Jun, Xiaokui Xiao, Xing Xie.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• SLING: A Near-Optimal Index Structure for SimRank.
  Boyu Tian, Xiaokui Xiao.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• Augmented Sketch: Faster and More Accurate Stream Processing.
  Pratanu Roy, Arijit Khan, Gustavo Alonso.
  SIGMOD Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, San Francisco, USA, 2016.
• Practical Private Shortest Path Computation Based on Oblivious Storage.
  Dong Xie, Guanru Li, Yao Bin, Xuan Wei, Xiaokui Xiao, Yunjun Gao, Minyi Guo.
  IEEE ICDE Proceedings of the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 2016.
• Keyword-Aware Continuous kNN Query on Road Networks.
  Bolong Zheng, Kevin Zheng, Xiaokui Xiao, Han Su, Xiaofang Zhou.
  IEEE ICDE Proceedings of the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 2016.
• Revenue Maximization by Viral Marketing: A Social Network Host's Perspective.
  Arijit Khan, Benjamin Zehnder, Donald Kossman.
  IEEE ICDE Proceedings of the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 2016.
• Querying Knowledge Graphs by Example Entity Tuples.
  Nandish Jayaram, Arijit Khan, Li Chengkai, Xifeng Yan, R Elmasri.
  IEEE ICDE Proceedings of the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 2016 (Extended Abstract).
• Structure Preserving Subgraph Query Services.
  Byron Choi, Zhe Fan, Qian Chen, Jianliang Xu, Haibo Hu, Sourav S Bhowmick.
  IEEE ICDE Proceedings of the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 2016 (Extended Abstract).
• PINOCCHIO: Probabilistic Influence-based Location Selection Over Moving Objects.
  Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick, Zhenhua Dong.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 28(11), 2016.
• Proxies for Short Paths and Distance Queries.
  Ma Shui, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 28(7), 2016.
• A General Recommendation Model for Heterogeneous Networks.
  Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 28(12), 2016.

2015

• Towards Maximum Independent Sets on Massive Graphs.
  Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei.
  PVLDB Proceedings of the 41st VLDB Endowment, Hawaii, USA, 2015.
• PRISM: Concept-Preserving Summarization of Top-K Social Image Search Results.
  Boon Siew Seah, Sourav S Bhowmick, Aixin Sun.
  PVLDB Proceedings of the 41st VLDB Endowment, Hawaii, USA, 2015 (Demo).
• Virtual eXist-DB: Liberating Hierarchical Queries from the Shackles of Access Path Dependence.
  Curtis Dyreson, Sourav S Bhowmick, Ryan Grapp.
  PVLDB Proceedings of the 41st VLDB Endowment, Hawaii, USA, 2015 (Demo).
• GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks.
  Hui Li, Sourav S Bhowmick, Jiangtao Cui, Yunjun Gao, Jianfeng Ma.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015 (Nominated for the Best Paper Award).
• Influence Maximization in Near-Linear Time: A Martingale Approach.
  Youze Tang, Yanchen Shi, Xiaokui Xiao.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Private Release of Graph Statistics with Ladder Functions.
  Jun Zhang, Graham Cormode, Cecilia Procopuic, Divesh Srivastava, Xiaokui Xiao.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Crowd-based Deduplication: An Adaptive Approach.
  Sibo Wang, Xiaokui Xiao, Chun-Hee Lee.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Efficient Route Planning on Public Transportation Networks: A Labelling Approach.
  Sibo Wang, Wenqing Lin, Yi Yang, Xiaokui Xiao, Shuigeng Zhao.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Efficient Algorithms for Answering the m-Closest Keywords Query.
  Tao Guo, Xin Cao, Gao Cong.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Diversity-aware Top-k Publish/Subscribe in Text Stream.
  Lisi Chen, Gao Cong.
  SIGMOD Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
• Network Motif Discovery: A GPU Approach.
  Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiao-Li Li.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015.
• Temporal Spatial-Keyword Top-k Publish/Subscribe.
  Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015.
• A General Graph-based Model for Receommendation in Event-based Social Networks.
  Tuan-Anh Pham, Xutao Li, Gao Cong, Zhenjie Zhang.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015.
• SAR: A Sentiment-Aspect-Region Model for User Prefernce Analysis in Geo-tagged Reviews.
  Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Zhu.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015.
• Asymmetric Structure-Preserving Subgraph Queries for Large Graph.
  Zhe Fan, Byron Choi, Jianliang Xu, Sourav S Bhowmick.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015.
• PIGEON: Progress Indicator for Subgraph Queries.
  Xiaojing Xie, Zhe Fan, Byron Choi, Peipei Yi, Sourav S Bhowmick, Shuigeng Zhou.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015 (Demo).
• VISUAL: An HCI-inspired Simulator of Blending Visual Subgraph Query Construction and Processing.
  Sourav S Bhowmick, Huey-Eng Chua, Benji Thian, Byron Choi.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015 (Demo).
• DAVINCI: Data-driven Visual Interface Construction for Subgraph Search in Graph Databases.
  Jinbo Zhang, Sourav S Bhowmick, Hong H. Nguyen, Byron Choi, Feida Zhu.
  IEEE ICDE Proceedings of the 31st IEEE International Conference on Data Engineering, Seoul, Korea, Apr 2015 (Demo).
• Efficient Processing of Spatial Group Keyword Queries.
  Xin Cao, Gao Cong, Tao Gao, Christian S. Jensen, Beng Chin Ooi.
  TODS ACM Transactions on Database Systems, 40(2):13, 2015.
• Authenticated Subgraph Similarity Search in Outsourced Graph Databases.
  Yun Peng, Zhe Fan, Byron Choi, Jianliang Xu, Sourav S Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 27(7), 2015.
• Structure-Preserving Subgraph Query Services.
  Zhe Fan, Byron Choi, Qian Chen, Jianliang Xu, Haibo Hu, Sourav S Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 27(8), 2015.
• Conformity-aware Influence Maximization in Online Social Networks.
  Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui.
  VLDBJ The VLDB Journal, 24(1), 2015.
• Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
  Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao.
  TODS ACM Transactions on Database Systems, 40(2):11, 2015.
• Boosting the Quality of Approximate String Matching BY Synonyms.
  Jiaheng Lu, Chunbin Lin, Wei Wang, chen Li, Xiaokui Xiao.
  TODS ACM Transactions on Database Systems, 40(3):15, 2015.

2014

• Differentially Private Event Sequences over Infinite Streams.
  G Kellaris, S Papadopoulos, Xiaokui Xiao, Dimitris Papadias.
  PVLDB Proceedings of the VLDB Endowment, Hangzhou, China, 2014.
• Retrieving Regions of Interest for User Exploration.
  Xin Cao, Gao Cong, Christian S Jensen, Man Lung Yiu.
  PVLDB Proceedings of the VLDB Endowment, Hangzhou, China, 2014.
• SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe.
  Lisi Chen, Yan Cui, Gao Cong, Xin Cao.
  PVLDB Proceedings of the VLDB Endowment, Hangzhou, China, 2014 (Demo).
• Querying Virtual Hierarchies using Virtual Prefix-based Numbers.
  Curtis Dyreson, Sourav S Bhowmick, Ryan Grapp.
  SIGMOD Proceedings of the 40th ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA, 2014.
• In Search of Influential Event Organizers in Online Social Networks.
  Kaiyu Feng, Gao Cong, Sourav S Bhowmick, Shuai Ma.
  SIGMOD Proceedings of the 40th ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA, 2014.
• Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency.
  Youze Tang, Xiaokui Xiao, Yanchen Shi.
  SIGMOD Proceedings of the 40th ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA, 2014.
• Reachability Queries on Large Dynamic Graphs: A Total Order Approach.
  Andy Diwen Zhu, Wenqing Lin, Sibo Wang, Xiaokui Xiao.
  SIGMOD Proceedings of the 40th ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA, 2014.
• PrivBayes: Private Data Release via Bayesian Networks.
  Jun Zhang, Graham Cormode, Ceclilia Procopiuc, Divesh Srivastava, Xiaokui Xiao.
  SIGMOD Proceedings of the 40th ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, USA, 2014.
• Distributed Spatial Keyword Querying on Road Networks.
  Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan.
  EDBT Proceedings of the 17th ACM International Conference on Extended Database Technology, Athens, Greece, Mar 2014.
• Large-scale Frequent Subgraph Mining in MapReduce.
  Wenqing Lin, Xiaokui Xiao, Gabriel Ghinita.
  IEEE ICDE Proceedings of the 30th IEEE International Conference on Data Engineering, Chicago, USA, Apr 2014.
• Towards Efficient Authenticated Subgraph Query Service for Outsourced Graph Databases.
  Zhe Fan, Yun Peng, Byron Choi, Jianliang Xu, Sourav S Bhowmick.
  TSC IEEE Transactions on Services Computing, 7(4), 2014.
• Side Effect Estimation: A Filtering Approach to the View Update Problem.
  Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu, Sourav S Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 26(9), 2014.
• Influence Spreading Path and its Application to the Time Constrained Social Influence Maximization Problem and Beyond.
  Bo Liu, Gao Cong, Yifeng Zeng, Xu Dong, Yeow Meng Chee.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 26(8), 2014.
• Efficient and Effective Clustering Methods for Correlated Probabilistic Graphs.
  Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 26(5), 2014.
• QUBLE: Towards Blending Interactive Visual Subgraph Search Queries on Large Networks.
  Ho Hoang Hung, Sourav S Bhowmick, Ba Quan Truong, Byron Choi, Shuigeng Zhou.
  VLDBJ The VLDB Journal, 23(3), 2014.
• Dynamic Monitoring of Optimal Locations in Road Network Databases.
  Yao Bin, Xiaokui Xiao, Li Feifei, Yifan Wu.
  VLDBJ The VLDB Journal, 23(5), 2014.
• Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neigbor Search.
  Ying Lu, Jiaheng Lu, Gao Cong, Wei Wu, Cyrus Shahabi.
  TODS ACM Transactions on Database Systems, 39(2):13, 2014.

2013

• Spatial Keyword Query Processing: An Experimental Evaluation.
  Lisi Chen, Gao Cong, Christian S Jensen, Dingming Wu.
  PVLDB Proceedings of the VLDB Endowment, Riva Del Garda, Italy, 2013.
• Efficient Single-Source Shortest Paths and Distance Queries in Large Graph.
  Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin.
  SIGKDD Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, USA, 2013.
• An Efficient Indexing Mechanism for Filtering Geo-Textual Data over a Stream of Geo-Textual Queries.
  Lisi Chen, Cong Gao, Xin Cao.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013.
• Shortest Paths and Distance Queries in Road Networks: Towards Bridging Theory and Practice.
  Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, and Shuigeng Zhou.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013.
• Minimal MapReduce Algorithms.
  Yufei Tao, Wenqin Lin, Xiaokui Xiao.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013.
• PrivGene: Differential Private Model Fitting Using Genetic Algorithms.
  Jun Zhang, Xiaokui Xiao, Yin Yan, Zhenjie Zhang and Marianne Winslett.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013.
• MESSIAH: Missing Element-Conscious SLCA Nodes Search in XML Data.
  Ba Quan Truong, Sourav S Bhowmick, Curtis Dyreson, Aixin Sun.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013.
• QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks.
  Ho Hoang Hung, Sourav S Bhowmick, Ba Quan Truong, Byron Choi, Shuigeng Zhou.
  SIGMOD Proceedings of the 39th ACM SIGMOD International Conference on Management of Data, New York City, USA, 2013 (Demo).
• Secure Nearest Neighbor Revisited.
  Feifei Li, Yao Bin, Xiaokui Xiao.
  IEEE ICDE Proceedings of the 29th IEEE International Conference on Data Engineering, Brisbane, Australia, Apr 2013.
• LSII: An Indexing Structure for Exact Real-Time Search on Microblogs.
  Lingkun Wu, Xiaokui Xiao, Yabo Xu, Wenqing Lin.
  IEEE ICDE Proceedings of the 29th IEEE International Conference on Data Engineering, Brisbane, Australia, Apr 2013.
• KORS: An Keyword-Aware Optimal Route Search System.
  Xin Cao, Lisi Chen, Gao Chen, Jihong Guan, N.-T Pan, Xiaokui Xiao.
  IEEE ICDE Proceedings of the 29th IEEE International Conference on Data Engineering, Brisbane, Australia, Apr 2013 (Demo).
• CINEMA: Conformity-Aware Greedy Algorithm for Influence Maximization in Online Social Networks.
  Hui Li, Sourav S Bhowmick, Aixin Sun.
  ACM EDBT Proceedings of 16th International Conference on Extending Database Technology, Genoa, Italy, 2013.
• VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework.
  Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  CIDR Proceedings of the 6th Biennial Conference on Innovative Data Systems Research, Asilomar, California, USA, Jan 2013.
• Incremental Maintenance of the Minimum Bisimulation of Cyclic Graphs.
  Jintiang Deng, Byron Choi, Jianliang Xu, Haibo Hu, Sourav S Bhowmick.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 25(11), 2013.
• Differential Private Histogram Publication.
  Jia Xu, Zhenjie Zheng, Xiaokui Xiao, Yin Yang, Ge Yu, Marriane Winslett.
  VLDBJ The VLDB Journal, 22(6), 2013.

2012

• Efficient Algorithms for Generalized Subgraph Query Processing.
  Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S Bhowmick.
  CIKM Proceedings of the 21st ACM International Conference on Information and Knowledge Management, Hawaii, USA, 2012.
• A Model-based Approach to Attributed Graph Clustering.
  Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, and James Cheng.
  SIGMOD Proceedings of the 38th ACM SIGMOD International Conference on Management of Data, Scottsdale, Arizona, 2012.
• Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach.
  James Cheng, Yiping Ke, Shumo Chu.
  SIGMOD Proceedings of the 38th ACM SIGMOD International Conference on Management of Data, Scottsdale, Arizona, USA, 2012.
• Integrating Historical Noisy Answers For Improving Data Quality under Differential Privacy.
  Shixi Chen, Shuigeng Zhou, Sourav S Bhowmick.
  EDBT Proceedings of the 15th ACM International Conference on Extending Database Technology, Berlin, Germany, 2012.
• Truss Decomposition in Massive Networks.
  Jia Wang, James Cheng.
  PVLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• KReach: Who Is In Your Small World.
  James Cheng, Z Shang, Hong Cheng, H Wang, J Xu Yu.
  PVLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• Keyword-Aware Optimal Route Search.
  Cao Xin, Lisi Chen, Gao Cong, Xiaokui Xiao.
  PVLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• Functional Mechanism: Regression Analysis Under Differential Privacy.
  J Zhang, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, M Winslett.
  PVLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• Low-Rank Mechanism: Optimizing Batch Queries Under Differential Privacy.
  G Yuan, Zhenjie Zhang, M Winslett, Xiaokui Xiao, Yin Yang, Z Hao.
  PVLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation.
  Lingkun Wu, Dingxiong Deng, Xiaokui Xiao, Gao Cong, Diwen Zhu, Shuigeng Zhou.
  VLDB Proceedings of the 38th International Conference on Very Large Data Bases, Istanbul, Turkey, 2012.
• Differentially Private Histogram Publication.
  Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu.
  IEEE ICDE Proceedings of the 28th IEEE International Conference on Data Engineering, Washington D.C., USA, Apr 2012.
• Obfuscating the Topical Intention in Enterprise Text Search.
  Hweehwa Pang, Xiaokui Xiao, Jialie Shen.
  IEEE ICDE Proceedings of the 28th IEEE International Conference on Data Engineering, Washington D.C., USA, Apr 2012.
• PRAGUE: Towards Blending Practical Visual Subgraph Query Formulation and Query Processing.
  Changjiu Jin, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou.
  IEEE ICDE Proceedings of the 28th IEEE International Conference on Data Engineering, Washington D.C., USA, Apr 2012.
• Querying XML Data: As You Shape It.
  Curtis Dyreson, Sourav S Bhowmick.
  IEEE ICDE Proceedings of the 28th IEEE International Conference on Data Engineering, Washington D.C., USA, Apr 2012.
• ANDES: Efficient Evaluation of NOT-Twig Queries in Relational Databases.
  Kheng Hong Soh, Ba Quan Truong, Sourav S Bhowmick.
  VLDBJ The VLDB Journal, 21(6), 2012.
• A Framework for Spatial Web Object Retrieval.
  Dingming Wu, Gao Cong, Christian S. Jensen.
  VLDBJ The VLDB Journal, 21(6), 2012.
• Publishing Search Logs - A Comparative Study of Privacy Guarantees.
  M. Gotz, A. Machanvajjala, G Wang, Xiaokui Xiao, J. Gehrke.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 24(3), 2012.
• Joint Top-K Spatial Keyword Query Processing.
  D.Wu, M. L. Yiu, Gao Cong, C. S. Jensen.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 24(10), 2012.
• Partial Evaluation for Distributed XPath Query Processing and Beyond.
  Gao Cong, Wefei Fan, A Kementsietsidis, J Li, X Liu.
  TODS ACM Transactions on Database Systems, 37(4), 2012.
• On the Complexity of View Update Analysis and its Application to Annotation Propagation.
  Gao Cong, Wenfei Fan, Floris Geerts, Jianzhong Li, Jizhou Luo.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 24(3), 2012.

2011

• CASINO: Towards Conformity-Aware Social Influence Analysis in Online Social Networks.
  Hui Li, Sourav S Bhowmick, Aixin Sun.
  CIKM Proceedings of the 20th ACM International Conference on Information and Knowledge Management, Glasgow, Scotland, 2011.
• iReduct: Differential Privacy with Reduced Relative Errors.
  Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke.
  SIGMOD Proceedings of the 37th ACM SIGMOD International Conference on Management of Data, Athens, Greece, 2011.
• Collective Spatial Keyword Querying.
  Xin Cao, Gao Cong, Christian S Jensen, B.-C Ooi.
  SIGMOD Proceedings of the 37th ACM SIGMOD International Conference on Management of Data, Athens, Greece, 2011.
• Reverse Spatial and Textual k Nearest Neighbors Search.
  Jiaheng Lu, Ying Lv, Gao Cong.
  SIGMOD Proceedings of the 37th ACM SIGMOD International Conference on Management of Data, Athens, Greece, 2011.
• GBLENDER: Visual Subgraph Query Formulation Meets Query Processing.
  Changjiu Jin, Sourav S Bhowmick, X Xiao, Byron Choi, S Zhou.
  SIGMOD Proceedings of the 37th ACM SIGMOD International Conference on Management of Data, Athens, Greece, 2011 (Demo).
• Optimal Location Queries in Road Network Databases.
  Xiaokui Xiao, Bin Yao, and Feifei Li.
  ICDE Proceedings of the 27th International Conference on Data Engineering, Hannover, Germany, 2011.
• Efficient Maintenance of Common Keys in Archives of Continuous Query Results from Deep Web Sites.
  Fajar Ardian, Sourav S Bhowmick.
  ICDE Proceedings of the 27th International Conference on Data Engineering, Hannover, Germany, 2011.
• Efficient Core Decomposition in Massive Networks.
  James Cheng, Yiping Ke, Shumo Chu, M. Tamer Ozsu.
  ICDE Proceedings of the 27th International Conference on Data Engineering, Hannover, Germany, 2011.
• Efficient Continuously Moving Top-K Spatial Keyword Query Processing.
  Dingming Wu, Man Lung Yiu, Christian Jensen, Gao Cong.
  ICDE Proceedings of the 27th International Conference on Data Engineering, Hannover, Germany, 2011.
• Structure and Attribute Index for Approximate Graph Matching in Large Graph.
  Linhong Zhu, Wee Keong Ng, James Cheng.
  IS Information Systems, 36(6), 2011.
• Finding Maximal Cliques in Massive Networks.
  James Cheng, Yiping Ke, Ada Fu, Jeffrey Xu Yu, L Zhu.
  TODS ACM Transactions on Database Systems, 36(6), 2011.
• Fast Graph Query Processing with a Low-Cost Index.
  James Cheng, Yiping Ke, Ada Fu, and Jeffrey Yu.
  VLDBJ International Journal on Very Large Data Bases, 20(4), 2011.
• Differential Privacy via Wavelet Transforms.
  Xiaokui Xiao, Guozhang Wang, and Johannes Gehrke.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 23(8), 2011.

2010

• Using XMorph to Transform XML Data.
  Curtis Dyreson, Sourav S. Bhowmick, K Mallampallu.
  PVLDB Proceedings of the 36th International Conference on Very Large Data Bases, Singapore, 2010 (demo).
• iAVATAR: An Interactive Tool for Finding and Visualizing Visual-Representative Tags in Image Search.
  Aixin Sun, Sourav S. Bhowmick, Yao Liu.
  PVLDB Proceedings of the 36th International Conference on Very Large Data Bases, Singapore, 2010 (demo).
• Retrieving Top-k Prestige-based Relevant Spatial Web Objects.
  Xin Cao, Gao Cong, Christian Jensen.
  PVLDB Proceedings of the 36th International Conference on Very Large Data Bases, Singapore, 2010.
• Embellishing Text Search Queries To Protect User Privacy.
  HweeHwa Pang, Xuhua Ding, and Xiaokui Xiao.
  PVLDB Proceedings of the 36th International Conference on Very Large Data Bases, Singapore, 2010.
• Exploring Domain-Specific Term Weight in Archived Question Search.
  Zhao-Yan Ming, Tat-Seng Chua, Gao Cong.
  CIKM Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, Canada, 2010.
• XMorph: A Shape-Polymorphic, Domain-Specific XML Data Transformation Language.
  Curtis Dyreson, Sourav S Bhowmick, A R Jannu, K Mallampalli, S Zhang.
  ICDE Proceedings of the 26th IEEE International Conference on Data Engineering, Los Angeles, USA, 2010.
• Differential Privacy via Wavelet Transforms.
  Xiaokui Xiao, Guozhang Wang, and Johannes Gehrke.
  ICDE Proceedings of the 26th IEEE International Conference on Data Engineering, Los Angeles, USA, 2010.
• Hiding Correlation by Independence Masking.
  Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, and Zhengzheng Xing.
  ICDE Proceedings of the 26th IEEE International Conference on Data Engineering, Los Angeles, USA, 2010.
• The Hardness and Approximation Algorithms for L-Diversity.
  Xiaokui Xiao, Ke Yi, and Yufei Tao.
  EDBT Proceedings of the 13th International Conference on Extending Database Technology, 2010.
• GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases.
  Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, and Byron Choi.
  SIGMOD Proceedings of the ACM SIGMOD International Conference on Management of Data, Indianapolis, USA, 2010.
• Finding Maximal Cliques in Massive Networks by H*-Graph.
  James Cheng, Yiping Ke, Ada Fu, Jeffrey Yu, and Linhong Zhu.
  SIGMOD Proceedings of the ACM SIGMOD International Conference on Management of Data, Indianapolis, USA, 2010.
• K-Isomorphism: Privacy Preservation in Network Publication against Structural Attack.
  James Cheng, Ada Fu, and Jia Liu.
  SIGMOD Proceedings of the ACM SIGMOD International Conference on Management of Data, Indianapolis, USA, 2010.
• Superseding Nearest Neighbor Search on Uncertain Spatial Databases.
  Sze Man Yuen, Yufei Tao, Xiaokui Xiao, Jian Pei, and Donghui Zhang.
  TKDE IEEE Transactions on Knowledge and Data Engineering, 22(7): 1041-1055, 2010.
• Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm.
  Xiaokui Xiao, Yufei Tao, and Nick Koudas.
  TODS ACM Transactions on Database Systems, 35(2), 2010.

2009

• Towards Non-directional XPath Evaluation in a RDBMS.
  Sourav S. Bhowmick, Curtis Dyreson, Erwin Leonardi, Z Ng.
  CIKM Proceedings of 18th ACM Conference on Information and Knowledge Management, Hong Kong, China, 2009.
• Efficient Processing of Group-Oriented Connection Queries in a Large Graph.
  James Cheng, Yiping Ke, and Wilfred Ng.
  CIKM Proceedings of the 18th ACM Conference on Information and Knowledge Management, Hong Kong, 2009.
• Optimal Random Perturbation at Multiple Privacy Levels.
  Xiaokui Xiao, Yufei Tao, Minghua Chen.
  PVLDB Proceedings of the 35th International Conference on Very Large Data Bases, Lyon, France, 2009.
• XBlend: Visual XML Query Formulation Meets Query Processing.
  Zhou Yong, Sourav S Bhowmick, Erwin Leonardi, K. Widjanarako.
  ICDE Proceedings of the 25th IEEE International Conference on Data Engineering, Shanghai, China, 2009.
• Efficient Query Processing on Graph Databases.
  James Cheng, Yiping Ke, and Wilfred Ng.
  TODS ACM Transactions on Database Systems, 34(1), 2009.