| 2026 | AAAI | Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing. | Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong |
| 2026 | AAAI | Pushing Rendering Boundaries: Hard Gaussian Splatting. | Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang |
| 2026 | AAAI | NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. | Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang |
| 2026 | GECCO | Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. | Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna Kononova, Thomas Bck, Niki van Stein |
| 2026 | WWW | Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation. | Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew-Soon Ong |
| 2026 | SIGIR | Agentic Spatio-Temporal Grounding via Collaborative Reasoning. | Heng Zhao, Yew-Soon Ong, Joey Tianyi Zhou |
| 2025 | AAAI | Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. | Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong |
| 2025 | CEC | Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO. | Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin |
| 2025 | CVPR | Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. | Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang |
| 2025 | EMNLP | CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching. | Cheng Shen, Yew-Soon Ong, Joey Tianyi Zhou |
| 2025 | GECCO | Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. | Jiao Liu, Abhishek Gupta, Yew-Soon Ong |
| 2025 | GECCO | On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem. | Liam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann |
| 2025 | GECCO | SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search. | Yuyang Zhou, Ferrante Neri, Yew-Soon Ong, Ruibin Bai |
| 2025 | ICCV | Robustifying Zero-Shot Vision Language Models by Subspaces Alignment. | Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICCV | Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness. | Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICCV | Make Me Happier: Evoking Emotions through Image Diffusion Models. | Qing Lin, Jingfeng Zhang, Yew-Soon Ong, Mengmi Zhang |
| 2025 | ICCV | Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection. | Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang |
| 2025 | ICLR | Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. | Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong |
| 2025 | ICML | Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. | Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICML | Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. | Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang |
| 2025 | ICML | Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. | Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu |
| 2025 | ICML | A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver. | Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong |
| 2025 | ICML | Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. | Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang |
| 2025 | IJCAI | Evolvable Conditional Diffusion. | Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong |
| 2025 | IJCAI | Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. | Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong |
| 2025 | IJCNN | Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. | Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong |
| 2025 | KDD | Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. | Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong |
| 2024 | CEC | Large Language Models as Evolutionary Optimizers. | Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong |
| 2024 | CVPR | Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. | Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong |
| 2024 | CVPR | Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. | Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong |
| 2024 | ECCV | Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. | Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong |
| 2024 | ECCV | Few-Shot NeRF by Adaptive Rendering Loss Regularization. | Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang |
| 2024 | EMNLP | Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding. | Heng Zhao, Yinjie Zhao, Bihan Wen, Yew-Soon Ong, Joey Zhou |
| 2024 | ICML | Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong |
| 2024 | PPSN | Bayesian Forward-Inverse Transfer for Multiobjective Optimization. | Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong |
| 2024 | RecSys | Unified Denoising Training for Recommendation. | Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong |
| 2024 | SIGIR | Adaptive In-Context Learning with Large Language Models for Bundle Generation. | Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu |
| 2023 | GECCO | Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. | Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong |
| 2023 | ICDE | A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. | Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong |
| 2023 | ICLR | Masked Frequency Modeling for Self-Supervised Visual Pre-Training. | Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy |
| 2023 | IJCNN | LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. | Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong |
| 2023 | PAKDD | Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. | Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong |
| 2022 | CEC | An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. | Ray Lim, Abhishek Gupta, Yew-Soon Ong |
| 2022 | CEC | A multifactorial differential evolution with hybrid global and local search strategies. | Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma |
| 2021 | ICLR | CoCon: A Self-Supervised Approach for Controlled Text Generation. | Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu |
| 2020 | AAAI | A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. | Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong |
| 2020 | CVPR | What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. | Alvin Chan, Yi Tay, Yew-Soon Ong |
| 2020 | CVPR | Online Deep Clustering for Unsupervised Representation Learning. | Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy |
| 2020 | EMNLP | Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. | Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang |
| 2020 | ICLR | Jacobian Adversarially Regularized Networks for Robustness. | Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu |
| 2019 | CEC | Memetic Evolution Strategy for Reinforcement Learning. | Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen |
| 2019 | CIKM | Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. | Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding |
| 2019 | GECCO | Can route planning be smarter with transfer optimization? | Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang |
| 2019 | ICTAI | Manifold Regularized Stochastic Block Model. | Tiantian He, Lu Bai, Yew-Soon Ong |
| 2018 | AAAI | Compact Multi-Label Learning. | Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong |
| 2018 | CEC | A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. | Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu |
| 2018 | ICDM | Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. | Pengfei Wei, Ramn Sagarna, Yiping Ke, Yew-Soon Ong |
| 2018 | ICML | Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. | Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong |
| 2018 | IJCAI | Deep Discrete Prototype Multilabel Learning. | Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang |
| 2018 | IJCAI | Discrete Network Embedding. | Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun |
| 2017 | CEC | Linearized domain adaptation in evolutionary multitasking. | Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan |
| 2017 | CEC | Solving dynamic vehicle routing problem via evolutionary search with learning capability. | Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan |
| 2017 | CVPR | MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. | Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong |
| 2017 | ICML | Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. | Pengfei Wei, Ramn Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh |
| 2016 | CEC | Evolutionary multitasking across single and multi-objective formulations for improved problem solving. | Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng |
| 2016 | CEC | Landscape synergy in evolutionary multitasking. | Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko |
| 2016 | CEC | Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. | Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh |
| 2016 | CEC | Application of route flexibility in data-starved vehicle routing problem with time windows. | Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong |
| 2016 | CEC | Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. | Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan |
| 2016 | CEC | Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. | Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai |
| 2016 | CEC | A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. | Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha |
| 2016 | ICONIP | Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. | Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh |
| 2016 | IJCNN | A conceptual modeling of flocking-regulated multi-agent reinforcement learning. | C. S. Chen, Yaqing Hou, Yew-Soon Ong |
| 2016 | IJCNN | Creating human-like non-player game characters using a Memetic Multi-Agent System. | Yaqing Hou, Liang Feng, Yew-Soon Ong |
| 2016 | IJCNN | Semi-supervised auto-encoder based on manifold learning. | Yawei Li, Lizuo Jin, A. K. Qin, Changyin Sun, Yew-Soon Ong, Tong Cui |
| 2015 | AAAI | An Adaptive Gradient Method for Online AUC Maximization. | Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong |
| 2015 | CEC | An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. | Abhishek Gupta, Yew-Soon Ong |
| 2015 | CEC | Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. | Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan |
| 2014 | CEC | Transformation of input space using statistical moments: EA-based approach. | Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi |
| 2013 | CEC | A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems. | Xuefeng Chen, Yifeng Zeng, Yew-Soon Ong, Choon Sing Ho, Yanping Xiang |
| 2013 | CEC | Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. | Ahmed Kattan, Yew-Soon Ong, Edgar Galvn Lpez |
| 2013 | SMC | Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art. | Xianshun Chen, Yew-Soon Ong, Puay Siew Tan, NengSheng Zhang, Zhengping Li |
| 2013 | SMC | A Review of Complex Systems Technologies for Supply Chain Risk Management. | Zhengping Li, Puay Siew Tan, Qi Ming Gabriel Yee, Quoc Chinh Nguyen, Yew-Soon Ong, Xianshun Chen |
| 2013 | SMC | An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains. | Quoc Chinh Nguyen, Zhengping Li, Puay Siew Tan, Xianshun Chen, Yew-Soon Ong |
| 2012 | AAMAS | A multiagent evolutionary framework based on trust for multiobjective optimization. | Siwei Jiang, Jie Zhang, Yew-Soon Ong |
| 2012 | AAMAS | Virtual characters in agent-augmented co-space (demonstration). | Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao |
| 2012 | CEC | An evolutionary search paradigm that learns with past experiences. | Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan |
| 2012 | CEC | Autonomous flock brush for non-photorealistic rendering. | Hsueh En Huang, Yew-Soon Ong, Xianshun Chen |
| 2012 | CEC | Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. | Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff |
| 2012 | CEC | Pareto Rank Learning in Multi-objective Evolutionary Algorithms. | Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang |
| 2012 | CIKM | Maximum margin clustering on evolutionary data. | Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong |
| 2012 | GECCO | Experiences on memetic computation for locating transition states in biochemical applications. | Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong |
| 2012 | GECCO | An improved CUDA-based implementation of differential evolution on GPU. | A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong |
| 2012 | ICDM | Learning Target Predictive Function without Target Labels. | Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao |
| 2012 | ICML | Discovering Support and Affiliated Features from Very High Dimensions. | Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong |
| 2011 | CEC | Towards human-like social multi-agents with memetic automaton. | Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen |
| 2011 | CEC | A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. | Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta |
| 2011 | CEC | Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan |
| 2011 | ICDM | Healing Sample Selection Bias by Source Classifier Selection. | Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong |
| 2011 | ICNC | Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. | Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong |
| 2011 | ICTAI | RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. | Manoranjan Dash, Yew-Soon Ong |
| 2010 | CEC | Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. | Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan |
| 2010 | CEC | Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring. | Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad Idris |
| 2010 | CW | Youth Olympic Village Co-space. | Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao |
| 2010 | MIG | Autonomous Multi-agents in Flexible Flock Formation. | Choon Sing Ho, Quang Huy Nguyen, Yew-Soon Ong, Xianshun Chen |
| 2009 | ISDA | Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search. | Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong |
| 2008 | CEC | An investigation on evolutionary gradient search for multi-objective optimization. | Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh |
| 2008 | CEC | A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim |
| 2008 | CEC | Memetic Gradient Search. | Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh |
| 2008 | CEC | Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems. | Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong |
| 2008 | GECCO | Optinformatics for schema analysis of binary genetic algorithms. | Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen |
| 2008 | GECCO | Non-genetic transmission of memes by diffusion. | Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim |
| 2008 | IJCNN | Extreme learning machine for multi-categories classification applications. | Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong |
| 2008 | SMC | Using classification for constrained memetic algorithm: A new paradigm. | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong |
| 2007 | CCGRID | Grid-based PSE for Engineering of Materials (GPEM). | Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia |
| 2007 | CEC | Noise-induced features in robust multi-objective optimization problems. | Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong |
| 2007 | CEC | A study on the design issues of Memetic Algorithm. | Quang Huy Nguyen, Yew-Soon Ong, Natalio Krasnogor |
| 2007 | CEC | Hierarchical model parallel memetic algorithm in heterogeneous computing environment. | Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song |
| 2007 | GECCO | A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. | Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff |
| 2007 | ISNN | Memetic Algorithms for Feature Selection on Microarray Data. | Zexuan Zhu, Yew-Soon Ong |
| 2006 | CCGRID | Analysis of Jobs in a Multi-Organizational Grid Test-bed. | Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson |
| 2006 | CEC | Trusted Evolutionary Algorithm. | Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff |
| 2006 | CEC | Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation. | Yew-Soon Ong, Zongzhao Zhou, Dudy Lim |
| 2006 | GECCO | Adaptation for parallel memetic algorithm based on population entropy. | Jing Tang, Meng-Hiot Lim, Yew-Soon Ong |
| 2006 | GECCO | A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. | Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang |
| 2006 | ICARCV | Computational Capabilities of Soft-Computing Frameworks: An Overview. | Narendra S. Chaudhari, Yew-Soon Ong, V. Trivedi |
| 2006 | ISNN | Extreme Learning Machine for Predicting HLA-Peptide Binding. | Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic |
| 2005 | CCGRID | Design and implementation of an efficient multi-cluster GridRPC system. | Quoc-Thuan Ho, Wentong Cai, Yew-Soon Ong |
| 2005 | CEC | A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. | Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim |
| 2005 | GECCO | Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. | Dudy Lim, Yew-Soon Ong, Bu-Sung Lee |
| 2005 | GECCO | Solving large scale combinatorial optimization using PMA-SLS. | Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er |
| 2005 | ICNC | A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. | Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff |
| 2004 | APBC | Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. | See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong |
| 2004 | CEC | Hierarchical surrogate-assisted evolutionary optimization framework. | Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair |
| 2004 | ICARCV | A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. | Wenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee |
| 2004 | ICARCV | Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. | Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er |
| 2004 | PDCAT | GAD Kit - A Toolkit for "Gridifying" Applications. | Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai, Hee-Khiang Ng, Bu-Sung Lee |
| 2003 | CEC | A parallel hybrid GA for combinatorial optimization using grid technology. | Jing Tang, Meng-Hiot Lim, Yew-Soon Ong |
| 2003 | CEC | Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design. | Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi, Z. K. Zhang |
| 2003 | SMC | Handwritten Chinese character recognition using kernel active handwriting model. | Daming Shi, Yew-Soon Ong, Eng Chong Tan |