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Dr. Sun Aixin is an Associate Professor and Assistant Chair (Academic) at the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He has been a faculty member of SCSE since 2005 and was the Assistant Chair (Admissions and Outreach) from 2016 to 2020. He is a member of Singapore Data Science Consortium (SDSC) Technical Committee, and SDSC institution representative of NTU. His current research interests include information retrieval, text mining, social computing, and digital libraries.

Dr. Sun received B.A.Sc (1st class honours) and Ph.D. both in Computer Engineering from NTU in 2001 and 2004 respectively. He has published more than 150 papers in major international journals and conferences. According to Google Scholar, his papers have received more than 8000 citations, with h-index 45. Dr. Sun is an associate editor of Neurocomputing, editorial board member of Journal of the Association for Information Science and Technology (JASIST), and editorial board member of Information Retrieval Journal. He has served as the demonstration track co-chair for SIGIR2020, ICDM2018, CIKM2017, PC co-chair for AIRS2019, and general chair for ADMA2017. He has also served as Senior PC member or PC member for many conferences including SIGIR, WWW, WSDM, AAAI, and IJCAI.

Email: axsun AT ntu DOT edu DOT sg Phone: (+65) 6790 5139 Office: N4-2C-102

New!

Our group has an opening for a Research Fellow position under a project on medical text mining NLP.

Professional services

• Editorial board member: JASIST, Information Retrieval Journal
• Associate Editor: Neurocomputing
• Conference organization:
  • SIGIR20 (Demo co-Chair)
  • PAKDD20 (Publicity co-Chair)
  • AIRS19 (PC Co-Chair)
  • ICDM18 (Demo Co-Chair), CIKM17 (Demo Co-Chair), ADMA17 (General Chair)
• PC Member 2020: WWW, WSDM, IJCAI(SPC)
• PC Member 2019: WWW, WSDM, SIGIR, NLPCC, CIKM (SPC)
• PC Member 2018: WWW, AAAI, WSDM, SIGIR, PAKDD
• PC Member 2017: WSDM, AAAI, SIGIR, AIRS, DSAA

Recent papers

• A Survey on Deep Learning for Named Entity Recognition
  Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li. TKDE 2020, Accepted. NLP IR
• Neural Named Entity Boundary Detection
  Jing Li, Aixin Sun, Yukun Ma. TKDE 2020, Accepted. NLP IR
• CASE: Context-Aware Semantic Expansion
  Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi. AAAI. Feb 2020 NLP
• Subtopic-Driven Multi-Document Summarization
  Xin Zheng, Aixin Sun, Jing Li and Karthik Muthuswamy. EMNLP. Nov 2019 NLP
• Collective Named Entity Recognition in User Comments via Parameterized Label Propagation
  Minh C. Phan and Aixin Sun. JASIST. Accepted NLP
• Community Detection on Large Complex Attribute Network
  Zhe Chen, Aixin Sun, Xiaokui Xiao. KDD. Aug 2019 DM
• Robust Representation Learning of Biomedical Names
  Minh C. Phan, Aixin Sun and Yi Tay. ACL. July 2019 NLP IR
• ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
  Chujie Zheng, Minlie Huang and Aixin Sun. ACL. July 2019 NLP
• A Study on Agreement in PICO Span Annotations [PDF@arXiv ]
  Grace E. Lee and Aixin Sun. SIGIR. July 2019 (Short paper) Health NLP
• Aspect-level Sentiment Analysis using AS-Capsules [PDF@RG]
  Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu. WWW. Apr 2019 NLP
• Learning Travel Time Distributions with Deep Generative Model [PDF@GoogleDrive]
  Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng. WWW. Apr 2019 DM
• Deep Learning based Recommender System: A Survey and New Perspectives [PDF@RG]
  Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. ACM Computing Surveys. 2019 RecSys

Working draft

• Understanding Stability of Medical Concept Embeddings: Analysis and Prediction [arXiv ]
  Grace E. Lee, Aixin Sun. Apr 2019 Health NLP