A comprehensive list of conference publications by Dr. Yew
Soon Ong and collaborators.
All Conference Papers
W. Liu, X. Zheng, C. Chen, J. Xu, X. Liao, F. Wang,
Y. Tan, and Y. S. Ong, 'Reducing Item Discrepancy via Differentially
Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation', The
Forty-first International Conference on Machine Learning, Vienna, Austria. Jul 21-27 2024.
J. Dong, P. Koniusz, J. Chen, J. Wang, and Y. S. Ong, 'Robust
Distillation via Untargeted and Targeted Intermediate
Adversarial Samples', IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR-2024), June 17-21, 2024, Seattle, USA.
J. Dong, P. Koniusz, J. Chen, X. Xie, and Y. S. Ong, 'Adversarially
Robust Few-shot Learning via Parameter
Co-distillation of Similarity and Class Concept Learners', IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR-2024), June 17-21, 2024, Seattle, USA.
W. Liu, C. Chen, X. Liao, M. Hu, Y. Tan, F. Wang, X.
Zheng, and Y. S. Ong,
'Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for
Cross-Domain Recommendation', The 38th Annual AAAI Conference on Artificial Intelligence.
February 20-27, 2024, Vancouver, Canada Vancouver Convention Centre, West Building.
S. Tan, H. Cheng, X. Wu, H. Yu, T. He, Y. S. Ong, C. Wang and X. Tao,
'FedCompetitors: Harmonious Collaboration in
Federated Learning with Competing Participants', The 38th Annual AAAI Conference on Artificial
Intelligence. February 20-27, 2024, Vancouver, Canada Vancouver Convention Centre, West Building.
X. Qu, H. Liu, Z. Sun, X. Yin, Y.
S. Ong, L. Lu and Z. Ma, 'Towards Building Voice-based Conversational Recommender Systems:
Datasets, Potential Solutions, and Prospects', The 46th International ACM SIGIR Conference on
Research and Development in Information Retrieval, 23-27 July 2023, Taipei.
L. Cao, H. Chen, X. Fan, J. Gama, Y. S. Ong and V. Kumar, 'Bayesian
Federated Learning: A Survey', The 32nd
International Joint Conference on Artificial Intelligence, 19th-25th August 2023, Macao. Available
here as PDF file.
J. Xie, W. Li, X. Zhan, Z. Liu,
Y. S. Ong and C. C. Loy, 'Masked Frequency Modeling for Self-Supervised Visual
Pre-Training', The International Conference on Learning Representations (ICLR-2023). Available
here as PDF file.
Q. Fu, Q. Xu, Y. S. Ong
and W. Tao, 'Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view
Reconstruction', Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS
2022), Nov 28 - Dec 09, 2022.
X. Qu, Y. S. Ong, A.
Gupta, P. Wei, Z. Sun and Z. Ma, 'Importance Prioritized Policy Distillation', The 28th ACM
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), August 14-18, 2022 - Washington
D.C.
X. Qu, M. Gao, Z. Sun, Y. S. Ong
and Z. Ma, 'Synthesising Audio Adversarial Examples for Automatic Speech Recognition',
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), August 14-18, 2022 -
Washington D.C.
A. Chan and Y. S. Ong,
'How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common
Corruption and Adversarial Perturbations?', 31st International Joint Conference on Artificial
Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), July
23-29, 2022, Messe Wien, Vienna, Austria.
A. Gupta, R. Lim, C. C. Ooi and
Y. S. Ong, 'Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian
Process Surrogates', IEEE Symposium Series on Computational Intelligence (SSCI), December 4-7,
2022, Singapore.
Z. Sun, J. Yang, H. Fang, X. Qu and Y. S. Ong, 'Revisiting Bundle
Recommendation: Datasets, Tasks, Challenges and
Opportunities for Intent-aware Product Bundling', 45th International ACM SIGIR Conference on
Research and Development in Information Retrieval, July 11-15, 2022, Madrid.
J. Xie, X. Zhan, Z. Liu, Y. S.
Ong, 'Unsupervised Object-Level Representation Learning from Scene Images',
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 06-14,
2021.Available here as PDF file.
T. T. He, Y. S. Ong and L. Bai
, 'Learning Conjoint Attentions for Graph Neural Nets', Thirty-fifth Conference on Neural
Information Processing Systems (NeurIPS 2021), Dec 06-14, 2021. Available here as PDF file.
A. Chan and Y. S. Ong, 'A
Self-Supervised Approach for Controlled Text Generation', The International Conference on Learning
Representations (ICLR-2021), 4-8 May, 2021. The International Conference on Learning Representations
(ICLR-2021), 4-8 May, 2021.
A. Chan, Y. Tay and Y. S. Ong
, and A. Zhang, 'Poison Attacks against Text Datasets with Conditional Adversarially
Regularized Autoencoder', The 2021 Conference on Empirical Methods in Natural Language Processing
(EMNLP-Findings 2020), 16th - 20th November 2020. Available here as PDF file
A. Chan, Y. Tay and Y. S. Ong
, 'What it Thinks is Important is Important: Robustness Transfers through Input
Gradients', IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2020), 16-18
June, 2020, Seattle, Washington. Available here as PDF file
X. Zhan, J. Xie, Z. Liu, Y. S. Ong
, and C. C. Loy, 'Online Deep Clustering for Unsupervised Representation Learning',
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2020), 16-18 June, 2020, Seattle,
Washington. Available here as PDF
file
A. Chan, Y. Tay, Y. S. Ong, and J. Fu, 'Jacobian adversarially
regularized networks for robustness', The
International Conference on Learning Representations (ICLR-2020), 26-30 April, 2020, Millennium Hall,
Addis Ababa Ethiopia. Available here as PDF
file
M. Das, M. Pratama, J. Zhang and
Y. S. Ong, 'Skip-connected Evolving Recurrent Neural Network for Data Stream
Classification under Label Latency Scenario', Thirty-Fourth AAAI Conference on Artificial
Intelligence (AAAI-20), February 7-12, 2020, Hilton New York Midtown, New York, New York, USA.
A. Gupta, Y. S. Ong, M.
Shakeri, X. Chi and A. Zhang, 'Blessing of Dimensionality: How Many-Objective Search Supports
Inverse Modeling', 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los
Angeles, CA, USA. Available here as PDF
file.
M. Shakeri, A. Gupta, Y. S. Ong
, X. Chi and A. Zhang, 'Coping with Big Data in Transfer Optimization', 2019 IEEE
International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA.
T. T. He, L. Bai and Y. S. Ong
, 'Manifold Regularized Stochastic Block Model', 31st IEEE International Conference on
Tools with Artificial Intelligence (ICTAI-19), November 4-6, 2019, Portland, Oregon, US. - *Nikolaos Bourbakis - CV Ramamoorthy ICTAI-2019 Best Paper Recognition Award*
.
P. Wei, R. Sagarna, Y. Ke and Y.
S. Ong, 'Unclutterd Domain Sub-similarity for Transfer Regression', International
Conference on Data Mining (ICDM-18), November 17-20, 2018, Singapore.
H. Liu, J. F. Cai, Y. Wang and Y.
S. Ong, 'Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process
Regression', 35th International Conference on Machine Learning (ICML 2018), July 10-15, 2018,
Stockholm, Sweden.
X. Shen, S. Pan, W. Liu, Y. S.
Ong, and Q. S. Sun, 'Discrete Network Embedding', 27th International Joint Conference
on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI
2018), July 13-19, 2018, Stockholm, Sweden.
X. Shen, W. Liu, Y. Luo, Y. S.
Ong, and I. W. Tsang, 'Deep Binary Prototype Multi-label Learning', 27th International
Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial
Intelligence (IJCAI-ECAI 2018), July 13-19, 2018, Stockholm, Sweden.
Z. Zeng, X. Fan, C. Y. Miao, C. Leung, J. J. Chin,
and Y. S. Ong, 'Context-based and Explainable Decision Making with
Argumentation',
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), July 10-15, 2018,
Stockholm, Sweden.
X. Shen, W. Liu, I. Tsang, Q.S. Sun and Y. S. Ong, 'Compact
Multi-label Learning', Thirty-Second AAAI Conference
on Artificial
Intelligence (AAAI 2018), Feb 2-7, 2018, New Orleans, Lousiana, USA.
P. Wei, R. Sagarna, Y. Ke, Y. S.
Ong, and C. K. Goh, 'Source-Target Similarity Modelings for Multi-Source Transfer Gaussian
Process Regression', International Conference on Machine Learning (ICML 2017), August 6-11,
2017.
H. Yang, J. T. Zhou, J. Cai and
Y. S. Ong, 'MIML-FCN+: multi-instance multi-label learning via fully convolutional
networks with privileged information', IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2017.
K. Bali, A. Gupta, L. Feng, Y. S.
Ong, and P. S. Tan, 'Linearized Domain Adaptation in Evolutionary Multitasking', IEEE
Congress on Evolutionary Computation, Spain, June 5-8, 2017, Available here to download the paper.
L. Zhou, L. Feng, A. Gupta, Y. S. Ong, K. Liu, C. Chen, E. Sha, B. Yang
and
B. W. Yan, 'Solving Dynamic Vehicle Routing Problem via Evolutionary Search with Learning
Capability', IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.
A. Tan, R. Sagarna, A. Gupta, R. Chandra and Y. S. Ong, ' Coping with
Data Scarcity in Aircraft Engine Design', 18th AIAA/ISSMO Multidisciplinary Analysis and
Optimization Conference, 2017 AIAA Aviation and Aeronautics Forum and Exposition, Denver, Colorado,
5-9 June 2017.
A. Gupta and Y. S. Ong, 'Genetic Transfer or Population
Diversification?
Deciphering the Secret Ingredients of Evolutionary Multitask Optimization', SSCI 2016.
R. Sagarna and Y. S. Ong, 'Concurrently Searching Branches in
Software
Tests Generation through Multitask Evolution', SSCI 2016.
L. Zhou, L. Feng, J. Zhong, Y. S. Ong, Z. Zhu and E. Sha,
'Evolutionary
Multitasking in Combinatorial Search Spaces: A Case Study in Capacitated Vehicle Routing
Problem', SSCI 2016.
Y. Yuan, Y. S. Ong, A. Gupta, P. S. Tan and H. Xu, 'Evolutionary
Multitasking in Permutation-Based Combinatorial Optimization Problems: Realization with TSP, QAP,
LOP, and JSP', IEEE TENCON 2016.
Y. Hou, Y. Zeng and Y. S. Ong
,'A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction',
International conference on autonomous agents and multiagent systems, Singapore, May 9-13, 2016.
S. Badsha, A. K. Qin, Y. Ren, J. Chan and Y. S. Ong, 'Data Mining
Assisted Performance Comparison and Visualization for
Evolutionary Algorithms', IEEE WCCI-CEC 2016, Vancouver, Canada.
Z. Ye, L. Feng, Y. S. Ong,
K. Liu, C. Chen and E. Sha, 'A Preliminary Study on Distance Selection in Probabilistic Memetic
Framework for Capacitated Arc Routing Problem', IEEE WCCI-CEC 2016, Vancouver, Canada.
S. Jiang, L. Feng, D. Yang, Y. S.
Ong, A. N. Zhang, P. S. Tan, Z. Cai and C. K. Heng, 'Towards Adaptive Weight Vectors for
Multiobjective Evolutionary Algorithm by Decomposition', IEEE WCCI-CEC 2016, Vancouver, Canada.
S. Jiang, L. Feng, K. H., Q. C. Nguyen, Y. S. Ong, A. N. Zhang and P.
S. Tan, 'Adaptive Indicator-based Evolutionary
Algorithm for Multiobjective Optimization Problems', IEEE WCCI-CEC 2016, Vancouver, Canada.
A. Gupta, Y. S. Ong, B.
Da, L. Feng and D. Handoko, 'Landscape Synergy in Evolutionary Multitasking', IEEE WCCI-CEC
2016, Vancouver, Canada.
H. C. Kim, A. Gupta, B. Da, Y. S.
Ong, Q. C. Nguyen, S. Jiang and P. S. Tan, 'Application of Route Flexibility in
Data-Starved Vehicle Routing Problem with Time Windows', IEEE WCCI-CEC 2016, Vancouver, Canada.
B. Da, A. Gupta Y. S. Ong,
and L. Feng, 'Evolutionary Multitasking across Single and Multi-Objective Formulations for Improved
Problem Solving', IEEE WCCI-CEC 2016, Vancouver, Canada.
Y. Hou, L. Feng and Y. S. Ong
, 'Creating Human-Like Non-Player Game Characters using A Memetic Multi-Agent System',
IEEE WCCI-CEC 2016, Vancouver, Canada.
C. S. Chen, Y. Hou and Y. S. Ong
, 'A Conceptual Modeling of Flocking-regulated Multi-agent Reinforcement Learning', IEEE
WCCI-CEC 2016, Vancouver, Canada.
S. D. Handako, A Gupta, H. C. Kim, L. H. Chuin,
Y. S. Ong, and P. S. Tan, 'Solving multi-vehicle profitable tour
problem
via knowledge adoption in evolutionary bilevel programming', IEEE CEC 2015, May 25-28, 2015,
Sendai, Japan.
A. Gupta and Y. S. Ong
,'An Evolutionary Algorithm with Adaptive Scalarization for Multiobjective Bilevel Programs',
IEEE CEC 2015, May 25-28, 2015, Sendai, Japan.
Y. Ding, P. Zhao, S. C.H. Hoi and Y. S. Ong,'An Adaptive Gradient
Method for Online AUC Maximization',
Twenty-Ninth AAAI Conference on Artificial Intelligence 2015, January 25-29, 2015, Austin Texas, USA.
W.Y. Deng and Y. S. Ong
,'Online Sequential Kernel Extreme Learning Machine', The International Conference on Extreme
Learning Machines (ELM2014), Marina Bay Sands, Singapore, December 8-10, 2014.
W.Y. Deng, C. L. Su and Y. S. Ong
,'Access Behavior Prediction in Distributed Storage System using Regularized Extreme
Learning Machine', The International Conference on Extreme Learning Machines (ELM2014), Marina
Bay Sands, Singapore, December 8-10, 2014.
A. Gupta, Y. S. Ong, A.
Zhang and P. S. Tan,'A Bi-level Evolutionary Algorithm for Multi-Objective Vehicle Routing Problems
with Time Window Constraints', The 18th Asia Pacific Symposium on Intelligent and Evolutionary
Systems (IES2014), 10-12 Nov 2014.
G. Yee, Y. S. Ong, and P.
S. Tan,'Emergent Effects from Simple Mechanisms in Supply Chain Models', The 18th Asia Pacific
Symposium on Intelligent and Evolutionary Systems (IES2014), 10-12 Nov 2014.
A. Kattan, M. Kampouridis Y. S.
Ong, and K. Mehamdi, 'Transformation of Input Space using Statistical Moments: EA-Based
Approach', IEEE Congress on Evolutionary Computation, Accepted 2014.
S. W. Jiang, J. Zhang and Y. S.
Ong, 'A Pheromone-based Traffic Management Model for Vehicle Re-routing and Traffic Light
Control', International conference on autonomous agents and multiagent systems, 2014.
X. S. Chen, Y. S. Ong, L.
Feng, M. H. Lim, C. S. Chen and C S. Ho, 'Memetic Ant Colony System for Resource Gathering on
Navigation Graph', The 17th Asia Pacific Symposium on Intelligent and Evolutionary Systems,
2013.
X. S. Chen, Y. S. Ong, P.
S. Tan, N. S. Zhang and Z. P. Li, 'Agent-Based Modeling and Simulation for Supply Chain Risk
Management - A Survey of the State-of-the-Art', IEEE Systems, Man & Cybernetics Conference,
2013.
Z. P. Li, P. S. Tan, N. S. Zhang, Q. M. Yee, N. Q.
Chinh, Y. S. Ong, and X. S. Chen, 'A Review of Complex Systems
Technologies for Supply Chain Risk Management', IEEE Systems, Man & Cybernetics Conference,
2013.
N. Q. Chinh, Z. P. Li, P. S. Tan, X. S. Chen and
Y. S. Ong,, 'An agent-based simulation to quantify and analyze
bullwhip
effects in supply chains', IEEE Systems, Man & Cybernetics Conference, 2013.
X. Chen, Y. Zeng, Y. S. Ong
, C. S. Ho and Y. Xiang, 'A Study on Like-attracts-Like versus Elitist Selection Criterion
for Human-like Social behavior of Memetic Multiagent System', IEEE Congress on Evolutionary
Computation, June 2013.
A. Kattan, Y. S. Ong, and
E. Galvan, 'Multi-Agent Multi-Issue Negotiations with Incomplete Information: A Genetic Algorithm
Based on Discrete Surrogate Approach', IEEE Congress on Evolutionary Computation, June 2013.
J. Mandziuk, Y. S. Ong,
and K. Waledzik, 'Multi-Game Playing - a Challenge for Computational', IEEE Symposium Series on
Computational Intelligence, April 2013.
S. W. Jiang, J. Zhang and Y. S.
Ong, 'An Evolutionary Model for Constructing Robust Trust Networks', The 12th
International conference on autonomous agents and multiagent systems, 2013.
G. Zhang, Y. Wen and Y. S. Ong
, 'Near-optimal packet allocation algorithm for content uploading to media cloud via
collaborative wireless network', International Conference on Computing, Networking and
Communications (ICNC), pps., 762 - 767, 2013.
C. W. Seah, Ivor W. Tsang, Y. S.
Ong, and Q. Mao, 'Learning Target Predictive Function without Target Labels',
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2012. Available here as PDF file.
C. S. Ho, Y. S. Ong, M. H.
Lim, X. S. Chen and A. H. Tan 'FAME, Soft flock formation control for collective behavior studies
and rapid games development', The Ninth International Conference on Simulated Evolution And
Learning (SEAL'2012). Available here as PDF file.
Y. Zhai, M. K. Tan, I. W. Tsang and Y. S. Ong, 'Discovering Support
and Affiliated Features from Very High
Dimensions', International Conference on Machine Learning (ICML 2012), June 2012. Available here as PDF file.
F. Liang, Y. S. Ong, I. W. Tsang and A.-H. Tan, 'An
Evolutionary Search Paradigm that Learns with Past Experiences', IEEE Congress on Evolutionary
Computation, June 2012. *Nominated for Best Student Paper Award*.
A. K. Qin, F. Raimondo, F. Forbes andY. S. Ong, 'An
Improved CUDA-Based Implementation of Differential Evolution on GPU', ACM Genetic and
Evolutionary Computations (GECCO 2012), July 2012. *Nominated for Best Paper
Award*. PDF file.
M. M. H. Ellabaan and Y. S. Ong
, 'Experiences on Memetic Computation for Locating Transition States in Biochemical
Applications', ACM Genetic and Evolutionary Computations (GECCO 2012), July 2012. Available here
as PDF
file.
M. N. Le, Y. S. Ong, C. W.
Seah, S. Menzel and B. Sendhoff, 'Multi Co-objective Evolutionary Optimization: Cross Surrogate
Augmentation for Computationally Expensive Problems' , IEEE Congress on Evolutionary
Computation, June 2012. Available here as PDF file.
H. E. Huang, Y. S. Ong,and
X. S. Chen, 'Autonomous Flock Brush for Non-Photorealistic Rendering', IEEE Congress on
Evolutionary Computation, June 2012. *Nominated for Best Student Paper Award*
. Available here as PDF file.
C. W. Seah, Y. S. Ong, I. W. Tsang and S. W. Jiang, 'Rank
Learning in Multi-objective Evolutionary Algorithms', IEEE Congress on Evolutionary
Computation, June 2012. Available here as PDF file.
S. W. Jiang, J. Zhang and Y. S.
Ong, 'A Multiagent Evolutionary Framework based on Trust for Multiobjective
Optimization', The 11th international conference on autonomous agents and multiagent systems,
June 2012. Available here as PDF file.
C.-W. Seah, I. W. Tsang and Y. S.
Ong,. 'Healing Sample Selection Bias by Source Classifier Selection', IEEE
International Conference on Data Mining (IEEE ICDM 2011), Vancouver, Canada, Dec 2011. [Full Paper,
Acceptance rate = 13%] Available here as PDF file.
S. W. Jiang, J. Zhang and Y. S.
Ong, 'Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization', The 24th
Australasian Joint Conference on Artificial Intelligence, December 2011. Available here as PDF file.
M. Dash and Y. S. Ong,
'RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data', IEEE International
Conference on Tools with Artificial Intelligence (ICTAI), pp. 869-872, 2011.
S. W. Jiang, J. Zhang and Y. S.
Ong, 'Multiobjective Optimization by Decomposition with Pareto-adaptive Weight
Vectors', Seventh International Conference on Natural Computation, 2011. Available here as PDF file.
L. Feng, Y. S. Ong, A.-H.
Tan and X.-S. Chen, 'Towards Human-like Social Multi-agents with Memetic Automaton', IEEE
Congress on Evolutionary Computation, June 5-8, 2011. Available here as PDF
file.
S. D. Handoko, C. K. Kwoh and Y.
S. Ong,'Classification-assisted Memetic Algorithms for Equality-constrained Optimization
Problems with Restricted Constraint Function Mapping', IEEE Congress on Evolutionary
Computation, June 5-8, 2011. Available here as PDF
file.
C.S. Ho, Q.H. Nguyen, Y. S. Ong
, and X. Chen, 'Autonomous multi-agents in flexible flock formation', Lecture Notes in
Computer Science, 6459 LNCS, pp. 375-385, 2010. Available here as PDF file.
C.-W. Seah, I. W.
Tsang, Y. S. Ong,
K.-K. Lee, 'Predictive Distribution Matching SVM for Multi-Domain
Learning', European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML PKDD 2010),
Barcelona, Spain, September 2010. Available here as
PDF file.
Chua, Z.-Y., Kang,
Y., Jiang, X., Pang, K.-H., Gregory, A.C., Tan, C.-Y., Wong, W.-L., Y. S. Ong
,
Miao, C.-Y., 'Youth Olympic village Co-Space', 2010 Proceedings - 2010
International Conference on Cyberworlds, pp. 200-207, 2010.
Pan, Z., Feng, L., Y. S. Ong
,
Kang, Y., Tan, A.-H., Miao, C.-Y., 'Meme selection, Variation, and
Transmission in Multi-agent System', World Automation Congress, 2010.
Doan, V.K., Lim, M.H., Y. S. Ong
,.,
Jang, J.S., Vavrina, M.A., Vian, J.L. and Barhorst, J., 'Turning time
estimation model for region coverage', International Conference on
Computational Problem-Solving, pp. 203-208, 2010.
*Best Student Paper Award*.
Song, L.Q., Lim, M.H., Y. S. Ong
,
'Neural meta-memes framework for combinatorial optimization', Lecture
Notes in Computer Science, 6466 LNCS, pp. 198-205, 2010.
L.
Feng,
Y. S. Ong,
Q. H. Nguyen and A.-H. Tan, 'Towards Probabilistic Memetic Algorithm: An
Initial Study on Capacitated Arc Routing Problem', IEEE World Congress
on Computational Intelligence, Congress on Evolutionary Computation
2010, Barcelona, Spain, 18-23, 2010. Available here as
PDF file.
D. Lim, Y. S. Ong,
R. Setiawan and M. Idris, 'Classifier-assisted Constrained Evolutionary
Optimization for Automated Geometry Selection of Orthodontic Retraction
Spring', IEEE World Congress on Computational Intelligence, Congress on
Evolutionary Computation 2010, Barcelona, Spain, 2010. Available here as
PDF file.
M. M.
H. Ellabaan, Y. S. Ong,
M. H. Lim and J.-L. Kuo, 'Finding Multiple First Order Saddle Points
Using a Valley Adaptive Clearing Genetic Algorithm', IEEE International
Symposium on Computational Intelligence in Robotics and Automation
(CIRA'09), Daejeon, Korea, pps.457-462, Dec 2009. Available here as
PDF file.
M. M.
H. Ellabaan and Y. S. Ong,
'Valley-Adaptive Clearing Scheme for Multimodal Optimization
Evolutionary Search', 9th International Conference on Intelligent
Systems Design and Applications (ISDA'09), Pisa, Italy, pps.1-6, Dec
2009. Available here as
PDF file.
S . Handoko, C. K. Kwoh and Y. S. Ong,
'Classification-Assisted Memetic Algorithms for
Equality-Constrained Optimization Problems', AI 2009: Advances in Artificial Intelligence,
Lecture Notes in Computer Science, vol. 5866, pps.391-400, 2009. Available here as
PDF file.
A.-D. Do, S.-Y. Cho and Y. S. Ong, 'A Multi-Objective
Memetic Algorithm Based Clustering
Method', International Conference on Artificial Intelligence, ICAI 2008, July,
pps.881-887, 2008.
M. N. Le and
Y. S. Ong, 'A Frequent Pattern Mining
Algorithm for Understanding Genetic Algorithms', International
Conference on Intelligent Computing (ICIC) 2008, Shanghai, China, Sept
2008. Available here as
PDF file.
D.
Lim,
Y. S. Ong, Y. Jin, and B. Sendhoff, 'Evolutionary
Optimization with Dynamic Fidelity Computational Model',
International Conference on Intelligent Computing (ICIC) 2008, Shanghai,
China, Sept 2008. Available here as
PDF file.
D.
Mallick, Vincent C.S. Lee and
Y. S. Ong, 'An Empirical Study of
Genetic Programming Generated Trading Rules in Computerized Stock
Trading Service System', Proceedings of IEEE 5th ICSSSM'08, 30 June
- 2 July 2008, Melbourne. Available here as
PDF file.
Q. H.
Nguyen,
Y. S. Ong and M. H. Lim, 'Non-genetic
transmission of memes by diffusion', Genetic and Evolutionary
Computation Conference, Atlanta, Georgia, US, 12-16 July 2008, ACM
Press. Available here as
PDF file.
M. N.
Le,
Y. S. Ong and Q. H. Nguyen, 'Optinformatics
for Schema Analysis of Binary Genetic Algorithms', Genetic and
Evolutionary Computation Conference, Atlanta, Georgia, US, 12-16 July
2008, ACM Press. Available here as
PDF file.
S .
Handoko, C. K. Kwoh and
Y. S. Ong, 'Using Classification for
Constrained Memetic Algorithm: A New Paradigm', 2008, IEEE International
Conference on Systems, Man, and Cybernetics 2008. Available here as
PDF file.
S .
Handoko, C. K. Kwoh and
Y. S. Ong, 'A Study on Constrained MA
Using GA and SQP: Analytical Vs. Finite-difference Gradients', 2008
IEEE World Congress on Computational Intelligence. Available here as
PDF file.
C. K.
Goh,
Y. S. Ong and K. C. Tan, 'An
Investigation on Evolutionary Gradient Search for Multi-objective
Optimization', 2008 IEEE World Congress on Computational
Intelligence. Available here as
PDF file.
Y.
Xu, M. H. Lim,
Y. S. Ong, 'Automatic Configuration of
Metaheuristic Algorithms for Complex Combinatorial Optimization Problems',
2008 IEEE World Congress on Computational Intelligence.
Z.
Zhu and
Y. S. Ong, 'Memetic Algorithms For
Feature Selection On Microarray Data', Fourth International
Symposium on Neural Networks, Vol. 4491/2007, pp. 1327-1335, June 3-7,
2007, Nanjing, China. Available here as
PDF file.
D.
Lim,
Y. S. Ong, Y. Jin and B. Sendhoff, 'A
Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in
Evolutionary Computation', Genetic and Evolutionary Computation
Conference. London, UK, pp. 1288 - 1295, 2007, ACM Press. Available here
as
PDF file or from
ACM Press.
C. K.
Goh, K. C. Tan, C. Y. Cheong and
Y. S. Ong, 'Noise-induced features in
robust multi-objective optimization problems', 2007 IEEE Congress on
Evolutionary Computation, CEC 2007, Article number 4424521, Pages
568-575.
J.
Tang, L. Song, M. H. Lim and
Y. S. Ong, 'Hierarchical Model Parallel
Memetic Algorithm in Heterogeneous Computing Environment', 2007 IEEE
Congress on Evolutionary Computation, CEC 2007, Article number 4424820,
Pages 2758-2765.
Q. H.
Nguyen,
Y. S. Ong and N. Krasnogor, 'A study on
the design issues of Memetic Algorithm', 2007 IEEE Congress on
Evolutionary Computation, CEC 2007, Article number 4424770, Pages
2390-2397. Available here as
PDF file.
E. P. Sulaiman, Y. S. Ong,
,
M. Salahuddin and T. Hung, 'A Flow Model of Web Services For The Grid',
GCA 2007, pp. 65-75, Singapore.
H. Soh,
Y. S. Ong, M. Salahuddin, T. Hung and B.
S. Lee, 'Playing in the Objective Space: Coupled Approximators for Multi-Objective
Optimization', IEEE Symposium on Computational Intelligence in Multi-Criteria
Decision-Making, pp. 325-332, April 2007. Available here as PDF file
M. Salahuddin, T. Hung, H. Soh, E. Sulaiman,
Y. S. Ong, B. S. Lee, Y. Ren, 'Grid-based PSE
for Engineering of Materials (GPEM)', CCGrid, pp. 309-316, May 2007.
D.
Lim, Y. S. Ong, Y. Jin and B. Sendhoff, 'Trusted
Evolutionary Algorithm', IEEE Congress on Evolutionary Computation,
pp. 149- 156, July 16-21, CEC 2006, Sheraton Vancouver Wall Centre,
Vancouver, BC, Canada. Available here as
PDF file.
Y. S. Ong, Z. Z. Zong and
D. Lim, 'Curse and Blessing of Uncertainty in Evolutionary Algorithm
Using Approximation', IEEE Congress on Evolutionary Computation, pp.
2928 - 2935, July 16-21, CEC 2006, Sheraton Vancouver Wall Centre,
Vancouver, BC, Canada. Available here as
PDF file.
Y. S. Ong, Q. H Nguyen, M.
H. Lim and T. Jing, 'A Development Platform for Memetic Algorithm
Design', Joint 3rd International Conference on Soft Computing and
Intelligent Systems and 7th International Symposium on Advanced
Intelligent Systems, SCIS&ISIS 2006, 20-24 September , 2006, O-okayama
Campus West Bldg. 9, Tokyo Institute of Technology, Japan.
J.
Tang, M. H. Lim and
Y. S. Ong, "Adaptation for parallel
memetic algorithm based on population entropy", Proceedings of the
8th annual conference on Genetic and Evolutionary Computation (GECCO),
Seattle, Washington, USA, pp. 575 - 582, 2006. (Best
paper Award Nomination)
S. D.
Handoko, C. K. Kwoh,
Y. S. Ong, L. Z. Guang and B. Vladimir,
"Extreme Learning Machine for Predicting HLA-Peptide Binding", Third
International Symposium on Neural Networks, Lecture Notes in Computer
Science, vol. 3973, pp.716-721, 2006, Springer-verlag.
H.K. Ng, D. Lim,
Y. S. Ong, B. S. Lee, L. Freund, S. Parvez and B. Sendhoff,
'A Multi-Cluster Grid Enabled Evolution framework for Aerodynamic
Airfoil Design Optimization', International Conference on Natural
Computing, 27-29 August 2005, Lecture Notes on Science 3611, pp.
1112-1121, Springer-verlag, L. P.
Wang, K.
Chen and , Y. S. Ong
, Eds. Available here as
PDF file.
Z. Z.
Zhou,
Y. S. Ong, M. H. Nguyen and D. Lim, 'A Study
on Polynomial Regression and Gaussian Process Global Surrogate Model in
Hierarchical Surrogate-Assisted Evolutionary Algorithm', Special
Session on Evolutionary Computation in Dynamic and Uncertain
Environments (ECiDUE'05), IEEE Congress on Evolutionary Computation,
Edinburgh, United Kingdom, pp. 2832- 2839, Vol. 3, September 2-5, 2005.
Available here as
PDF file.
D.
Lim,
Y. S. Ong and B. S. Lee, 'Inverse
Multi-Objective Robust Evolutionary Design Optimization in the Presence
of Uncertainty', Conference on Genetic and evolutionary computation
pp. 55 - 62, June 25-29, 2005. Available here as
PDF file.
J.
Tang, M. H. Lim,
Y. S. Ong and M. J. Er, Solving large
scale combinatorial optimization using PMA-SLS, Conference on Genetic
and evolutionary computation, pp. 621 - 628, June 25-29, 2005.
Q. T.
Ho, W. T. Cai and
Y. S. Ong, 'Design and Implementation of An
Efficient Multi-cluster GridRPC System', IEEE Cluster Computing and
Grid Conference, pp. 358 - 365, 9-12 May 2005.
H. K.
Ng,
Y. S. Ong, T. Hung and B. S. Lee, 'Grid Enabled
Optimization', European Grid Conference, 2005, Lecture Notes in
Computer Science, Vol. 3470, pp. 296-304, 2005.
Q. T.
Ho,
Y. S. Ong, W. T. Cai, H. K. Ng, and B. S. Lee,
'GAD Kit -
A Toolkit for Gridifying Applications', Fifth International
Conference on Parallel and Distributed Computing, Applications and
Technologies, Vol. 3320/2004, pp. 868-871, December 2004. Available here
as
PDF file.
Z. X.
Zhu,
Y. S. Ong, K. W. Wong and K. T. Seow,
'Experimental Condition Selection In Whole-Genome Functional
Classification', IEEE Conference on Cybernetic and Intelligent
System, pp. 295 - 300, Vol.1, December 2004.
W. B.
Song,
Y. S. Ong, H. K. Ng, A. J. Keane, S. Cox and B. S.
Lee, 'A
Service-Oriented Approach for Aerodynamic Shape Optimization across
Institutional Boundaries', Eighth International Conference on
Control, Automation, Robotics and Vision, ICARCV 2004, Special Session
on Computational Intelligence on the Grid, pp. 2273-2278, December 6-9,
2004, Kunming, China. Available here as
PDF file.
T.
Jing, M. H. Lim and
Y. S. Ong, 'Study of Migration Topology in
Island Model Parallel Hybrid-GA for Large Scale Quadratic Assignment
Problems', Eighth International Conference on Control, Automation,
Robotics and Vision, ICARCV 2004, Special Session on Computational
Intelligence on the Grid, Vol.3, pp. 2286- 2291, December 6-9, 2004,
Kunming, China. Available here as
PDF file.
Wong
K.W.,
Y. S. Ong, Eren H. and Fung C.C., 'Hybrid Fuzzy
Modelling Using Memetic Algorithm for Hydrocyclone Control',
Proceedings of the 2004 International Conference on Machine learning and
Cybernetics, pp. 4188-4192, 26-29 August 2004, Shanghai, China.
Available here as
PDF file.
H. K.
Ng,
Y. S. Ong,, T. Hung and B. S. Lee,
'Complex Engineering
Design Problem Solving Environment Grid Portal', 2nd International
Conference on Scientific and Engineering Computation, July 2004,
Singapore. Available here as
PDF file.
Z. Z.
Zhou,
Y. S. Ong and P. B. Nair, 'Hierarchical
Surrogate-Assisted Evolutionary Optimization Framework', IEEE
Congress on Evolutionary Computation, Special Session on Learning and
Approximation in Design Optimization, Portland, USA, pp. 1586 - 1593,
Vol.2, June 20-23, 2004. Available here as
PDF file.
Q. T.
Ho,
Y. S. Ong, W. T. Cai, 'Gridifying Aerodynamic
Design
Problem Using GridRPC', Second Grid and Cooperative Computing:
Second International Workshop, GCC 2003, Shanghai, China, December 7-10,
2003, Lecture Notes in Computer Science, Springer-Verlag Heidelberg,
Part I, Subject: Computer Science, Volume 3032 / 2004, editors: Minglu
Li, Xian-He Sun, Qianni Deng, et al., pp. 83 - 90, Online Date: April
2004. Available here as
PS file.
S. K.
Ng, Z. X. Zhu and
Y. S. Ong, 'Whole-Genome
Functional Classification of Genes by Latent Semantic Analysis on
Microarray Data', 2nd Asia-Pacific Bioinformatics Conference
(APBC2004), pp. 123 - 129, Vol. 29, Dunedin, New Zealand, 18 - 22 Jan
2004. Available here as
PDF file.
K. W.
Wong,
Y. S. Ong, T. D. Gedeon and C. C. Fung,
'Intelligent
Well Log Data Analysis for Reservoir Characterization', Fourth
International Conference on Intelligent Technologies, pp. 203-208,
December 17-19, 2003, Thailand, Chiang Mai.
Z.
Ning,
Y. S. Ong, K. W. Wong and K. T. Seow, 'Parameter
Identification Using Memetic Algorithms for Fuzzy Systems', Fourth
International Conference on Intelligent Technologies, pp. 4188 - 4193,
Vol.7, 17-19 December 2003, Thailand, Chiang Mai. Available here as
PDF file.
T.
Jing, M. H. Lim and
Y. S. Ong, 'Island Model Parallel
Hybrid-GA for Large Scale Combinatorial Optimization', 2nd
International Conference on Computational Intelligence, Robotics and
Autonomous Systems (CIRAS 2003), Special Session on Optimization using
Genetic, Evolutionary, Social and Behavioral Algorithms, pp. 621 - 628,
December 15-18, 2003, Singapore. Available here as
PDF file.
Z.
Ning,
Y. S. Ong, K. W. Wong and M. H. Lim, 'Choice of
Memes In
Memetic Algorithm', 2nd International Conference on Computational
Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Special
Session on Optimization using Genetic, Evolutionary, Social and
Behavioral Algorithms, December 15-18, 2003, Singapore. Available here
as
PDF file.
A.
Agarwal, Y. L. Xu, M. H. Lim and
Y. S. Ong,
''Evolutionary Graph Mining for the Discovery of Site Visitation
Sequences for a Single URAV'', 2nd International Conference on
Computational Intelligence, Robotics and Autonomous Systems, 2003.
T.
Jing, M. H. Lim and
Y. S. Ong, 'A Parallel Hybrid GA for
Combinatorial Optimization Using Grid Technology', IEEE Congress on
Evolutionary Computation, pp. 1895 - 1902, Vol.3, December 8-12, 2003,
Canberra, Australia. Available here as
PDF file.
D. M.
Shi,
Y. S. Ong and E. C. Tan, 'Handwritten Chinese
Character
Recognition Using Kernel Active Handwriting Model', IEEE
International Conference on Systems, Man & Cybernetics, pp. 251 - 255,
Vol.1, 5-8 October 2003, Washington, D.C., USA.
A.
Choudhury,
Y. S. Ong and A.J. Keane, 'Extracting Latent
Structures in Numerical Classification: An investigation using two
factor models', 9th International Conference on Neural Information
Processing, 18-22 November, pp. 1842 - 1846, Vol.4, 2002.
Alfred C. H. Tan, A. Choudhury,
Y. S. Ong and S. Veres, 'Ultra
Low Frequency Estimation: A Neglected Apportion', 9th International
Conference on Neural Information Processing, Vol. 5, pp. 2195- 2199,
18-22 November 2002.
Y. S. Ong A.J. Keane and
P.B. Nair, 'Surrogate-Assisted Coevolutionary Search', 9th
International Conference on Neural Information Processing, Special
Session on Trends in Global Optimization, pp. 1140 - 1145, Vol.3, 18-22
November 2002. Available here as
PS file.
Y. S. Ong, and A.J. Keane, 'An Automated
Optimization System for Aircraft Wing Design', Seventh International
Conference on Artificial Intelligence in Design, Cambridge, UK, July
2002.
Q.
Bin,
Y. S. Ong, Y. Liu, H. B. Gooi and S. Chen,
'Managing Metadata over the WWW Using Extensible Markup Language
(XML)', IEEE PES Power Engineering Society Winter Meeting, New York,
USA, January, 2002.
Y. S. Ong, and H. B. Gooi, 'A Web-Based Power
Flow Simulator for Power Engineering Education', IEEE PES Power
Engineering Society Summer Meeting, Edmonton, Canada, July, 1999.