Yew-Soon Ong - RankMe

587 papers A* 39A 20B 60C 7Misc 3Journal 398Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Spatio-Temporal Grounding via Collaborative Reasoning. CoRR Heng Zhao, Yew-Soon Ong, Joey Tianyi Zhou
2026	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. ACM Comput. Surv. Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen
2026	J	`jnl`	Contrastive generative learning for enhanced multiagent decision-making under uncertainty. Eng. Appl. Artif. Intell. Yinghui Pan, Xinyi Xiang, Yifeng Zeng, Biyang Ma, Guoquan Liu, Yew-Soon Ong
2026	J	`jnl`	Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share. ACM Trans. Inf. Syst. Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong
2026	J	`jnl`	Dynamic-Aware video distillation: Adaptive temporal partitioning based on video semantics for edge device. Neural Networks Yinjie Zhao, Heng Zhao, Yew-Soon Ong, Bihan Wen, Joey Tianyi Zhou
2026	J	`jnl`	Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities. IEEE Comput. Intell. Mag. Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2026	J	`jnl`	Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models. CoRR Wenjing Hong, Zhonghua Rong, Li Wang, Feng Chang, Jian Zhu, Ke Tang, Zexuan Zhu, Yew-Soon Ong
2026	J	`jnl`	From Pixels to Facts (Pix2Fact): Benchmarking Multi-Hop Reasoning for Fine-Grained Visual Fact Checking. CoRR Yifan Jiang, Cong Zhang, Bofei Zhang, Yifan Yang, Bingzhang Wang, Yew-Soon Ong
2026	J	`jnl`	IEEE Fellows - Class of 2026 [Society Briefs]. IEEE Comput. Intell. Mag. Yew-Soon Ong
2026	J	`jnl`	Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol. CoRR Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2026	J	`jnl`	Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. CoRR Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, Thomas Bäck, Niki van Stein
2026	J	`jnl`	LawMind: A Law-Driven Paradigm for Discovering Analytical Solutions to Partial Differential Equations. CoRR Min-Yi Zheng, Shengqi Zhang, Liancheng Wu, Jinghui Zhong, Shiyi Chen, Yew-Soon Ong
2026	J	`jnl`	Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions. CoRR Xuanfeng Li, Shengcai Liu, Wenjie Chen, Yew-Soon Ong, Ke Tang
2026	A*	`conf`	NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. AAAI Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2026	J	`jnl`	Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management. Memetic Comput. Meng Xu, Jinsheng Chen, Doan Ngoc Chi Nam, Joel Wei En Tay, Puay Siew Tan, Yew-Soon Ong
2026	J	`jnl`	Out-of-Distribution Generalization for Neural Physics Solvers. CoRR Zhao Wei, Chin Chun Ooi, Jian Cheng Wong, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2026	J	`jnl`	Prescribed-Time Consensus Tracking of Multiagent Systems Under Denial-of-Service Attacks With Application to Unmanned Vehicles. IEEE Trans. Syst. Man Cybern. Syst. Huanyu Yang, Yujuan Wang, Kun Jiang, Yew-Soon Ong, Yongduan Song
2026	A*	`conf`	Pushing Rendering Boundaries: Hard Gaussian Splatting. AAAI Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang
2026	A*	`conf`	Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing. AAAI Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong
2026	J	`jnl`	Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction. CoRR Pao-Hsiung Chiu, Jian Cheng Wong, Chin Chun Ooi, Chang Wei, Yuchen Fan, Yew-Soon Ong
2026	J	`jnl`	SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation. Pattern Recognit. Junhao Dong, Yuqing Wen, Zhengdao Li, Weijun Gao, Zhixuan Zhang, Siheng Wang, Xinghua Qu, Yew-Soon Ong
2026	J	`jnl`	Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data. CoRR Yuanqiao Zhang, Tiantian He, Yuan Gao, Yixin Wang, Yew-Soon Ong, Maoguo Gong, A. K. Qin, Hui Li
2025	J	`jnl`	(θ CoRR Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2025	J	`jnl`	A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search. CoRR Zhao Wei, Chin Chun Ooi, Yew-Soon Ong
2025	A*	`conf`	A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver. ICML Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong
2025	J	`jnl`	A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation. CoRR Hua Yu, Jiao Liu, Xu Gui, Melvin Wong, Yaqing Hou, Yew-Soon Ong
2025	J	`jnl`	A continuous encoding-based representation for efficient multi-fidelity multi-objective neural architecture search. Appl. Soft Comput. Zhao Wei, Chin Chun Ooi, Yew-Soon Ong
2025	A*	`conf`	Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. AAAI Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	Active Large Language Model-based Knowledge Distillation for Session-based Recommendation. CoRR Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems. CoRR Ni Zhang, Zhiguang Cao, Jianan Zhou, Cong Zhang, Yew-Soon Ong
2025	J	`jnl`	BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. CoRR Junxiao Yang, Jinzhe Tu, Haoran Liu, Xiaoce Wang, Chujie Zheng, Zhexin Zhang, Shiyao Cui, Caishun Chen, Tiantian He, Hongning Wang, Yew-Soon Ong, Minlie Huang
2025	J	`jnl`	Co-Learning Bayesian Optimization. CoRR Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2025	A*	`conf`	CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching. EMNLP Cheng Shen, Yew-Soon Ong, Joey Tianyi Zhou
2025	J	`jnl`	Context-Adaptive Graph Neural Networks for Next POI Recommendation. CoRR Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Yew-Soon Ong
2025	B	`conf`	Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO. CEC Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin
2025	J	`jnl`	Cooperative Multiagent Learning and Exploration With Min-Max Intrinsic Motivation. IEEE Trans. Cybern. Yaqing Hou, Jie Kang, Haiyin Piao, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Qiang Zhang
2025	A*	`conf`	Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation. ACM Multimedia Ziying Tan, Linbo Luo, Haiyan Yin, Yew-Soon Ong, Wentong Cai
2025	A*	`conf`	Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. CVPR Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
2025	J	`jnl`	Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. CoRR Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
2025	J	`jnl`	Discovering Spatiotemporal-Individual Coupled Features From Nonstandard Tensors - A Novel Dynamic Graph Mixer Approach. IEEE Trans. Neural Networks Learn. Syst. Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025	J	`jnl`	Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation. CoRR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction. IEEE Trans. Multim. Hua Yu, Yaqing Hou, Wenbin Pei, Yew-Soon Ong, Qiang Zhang
2025	A*	`conf`	Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. ICML Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025	J	`jnl`	Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics. CoRR Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou
2025	J	`jnl`	Evolutionary Computation as Natural Generative AI. CoRR Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025	A*	`conf`	Evolvable Conditional Diffusion. IJCAI Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	Evolvable Conditional Diffusion. CoRR Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence. IEEE Trans. Evol. Comput. Jiao Liu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2025	A*	`conf`	Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. ICLR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. CoRR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	A	`conf`	FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. AAMAS Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2025	J	`jnl`	Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Junhao Dong, Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong
2025	J	`jnl`	Generative Multi-Form Bayesian Optimization. CoRR Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2025	J	`jnl`	Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025	A*	`conf`	Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. IJCAI Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong
2025	—	`conf`	Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. GECCO Companion Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2025	J	`jnl`	Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. IEEE Trans. Emerg. Top. Comput. Intell. Zubin Zheng, Shengcai Liu, Yew-Soon Ong
2025	J	`jnl`	HypoSpace: Evaluating LLM Creativity as Set-Valued Hypothesis Generators under Underdetermination. CoRR Tingting Chen, Beibei Lin, Zifeng Yuan, Qiran Zou, Hongyu He, Yew-Soon Ong, Anirudh Goyal, Dianbo Liu
2025	J	`jnl`	Improved decisions for unknown behaviours in interactive dynamic influence diagrams. Artif. Intell. Rev. Yinghui Pan, Mengen Zhou, Biyang Ma, Yifeng Zeng, Yew-Soon Ong, Guoquan Liu
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	LLM-Driven Instance-Specific Heuristic Generation and Selection. CoRR Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang
2025	J	`jnl`	LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs. CoRR Melvin Wong, Yueming Lyu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025	J	`jnl`	LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking. IEEE Comput. Intell. Mag. Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025	J	`jnl`	Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework. CoRR Xin He, Liangliang You, Hongduan Tian, Bo Han, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems. CoRR Shaodi Feng, Zhuoyi Lin, Jianan Zhou, Cong Zhang, Jingwen Li, Kuan-Wen Chen, Senthilnath Jayavelu, Yew-Soon Ong
2025	J	`jnl`	Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE Trans. Pattern Anal. Mach. Intell. Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys
2025	J	`jnl`	Lightweight and Accurate Multi-View Stereo with Confidence-Aware Diffusion Model. CoRR Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys
2025	J	`jnl`	MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection. IEEE Trans. Knowl. Data Eng. Shanshan Feng, Guoxin Yu, Dawei Liu, Han Hu, Yong Luo, Hui Lin, Yew-Soon Ong
2025	J	`jnl`	MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models. CoRR Yuqi Li, Junhao Dong, Chuanguang Yang, Shiping Wen, Piotr Koniusz, Tingwen Huang, Yingli Tian, Yew-Soon Ong
2025	J	`jnl`	Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration. CoRR Chengqi Zheng, Haiyan Yin, Jianda Chen, Terence Ng, Yew-Soon Ong, Ivor W. Tsang
2025	J	`jnl`	MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. CoRR Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin
2025	J	`jnl`	NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. CoRR Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2025	J	`jnl`	Neural Influence Estimator: Towards Real-Time Solutions to Influence Blocking Maximization. IEEE Trans. Comput. Soc. Syst. Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Li Zhuang, Ke Tang
2025	A	`conf`	On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem. GECCO Liam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann
2025	J	`jnl`	Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling. CoRR Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan, Yew-Soon Ong
2025	J	`jnl`	Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. CoRR Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2025	B	`conf`	Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. IJCNN Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025	J	`jnl`	Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. CoRR Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025	J	`jnl`	RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. CoRR Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation. CoRR Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong
2025	A*	`conf`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. ICML Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. CoRR Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	Sandbox: safeguarded multi-label learning through safe optimal transport. Mach. Learn. Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-Soon Ong, Ivor W. Tsang, James T. Kwok
2025	J	`jnl`	Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles. CoRR Shengcai Liu, Hui Ouyang, Zhiyuan Wang, Cheng Chen, Qijun Cai, Yew-Soon Ong, Ke Tang
2025	A	`conf`	SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search. GECCO Yuyang Zhou, Ferrante Neri, Yew-Soon Ong, Ruibin Bai
2025	J	`jnl`	SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search. CoRR Yuyang Zhou, Ferrante Neri, Yew-Soon Ong, Ruibin Bai
2025	—	`conf`	Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem. IEEE Trans. Emerg. Top. Comput. Intell. Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong
2025	J	`jnl`	Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization. CoRR Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong
2025	A*	`conf`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. ICML Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025	J	`jnl`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2024	J	`jnl`	A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. K. Qin, Yue Wu, Fei Xie
2024	J	`jnl`	A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2024	J	`jnl`	A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang
2024	J	`jnl`	A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2024	A*	`conf`	Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024	—	`conf`	Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong
2024	A*	`conf`	Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong
2024	—	`conf`	Bayesian Forward-Inverse Transfer for Multiobjective Optimization. PPSN (4) Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2024	J	`jnl`	Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. ACM Trans. Evol. Learn. Optim. Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2024	J	`jnl`	Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
2024	J	`jnl`	Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. IEEE Trans. Cybern. Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2024	J	`jnl`	Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. Linbo Luo, Shangwei Xie, Haiyan Yin, Chunlei Peng, Yew-Soon Ong
2024	J	`jnl`	Differentiable Clustering for Graph Attention. IEEE Trans. Knowl. Data Eng. Haicang Zhou, Tiantian He, Yew-Soon Ong, Gao Cong, Quan Chen
2024	J	`jnl`	Differential privacy in deep learning: A literature survey. Neurocomputing Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. K. Qin, Yuan Gao
2024	J	`jnl`	Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space. IEEE Trans. Pattern Anal. Mach. Intell. Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong
2024	J	`jnl`	Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong
2024	J	`jnl`	ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong
2024	J	`jnl`	FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. CoRR Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2024	—	`conf`	Few-Shot NeRF by Adaptive Rendering Loss Regularization. ECCV (66) Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang
2024	J	`jnl`	Few-shot NeRF by Adaptive Rendering Loss Regularization. CoRR Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang
2024	J	`jnl`	Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang
2024	J	`jnl`	Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong
2024	J	`jnl`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang
2024	J	`jnl`	Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. CoRR Zubin Zheng, Shengcai Liu, Yew-Soon Ong
2024	—	`conf`	Inverse Multiobjective Optimization by Generative Model Prompting. CAI Jiao Liu, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
2024	J	`jnl`	Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons. CoRR Jiao Liu, Zhu Sun, Shanshan Feng, Yew-Soon Ong
2024	B	`conf`	Large Language Models as Evolutionary Optimizers. CEC Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2024	J	`jnl`	Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang
2024	J	`jnl`	Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang
2024	J	`jnl`	Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage. CoRR Ben Cao, Tiantian He, Xue Li, Bin Wang, Xiaohu Wu, Qiang Zhang, Yew-Soon Ong
2024	J	`jnl`	Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
2024	J	`jnl`	Multi-Task Learning with Multi-Task Optimization. CoRR Lu Bai, Abhishek Gupta, Yew-Soon Ong
2024	J	`jnl`	Polarized message-passing in graph neural networks. Artif. Intell. Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo
2024	J	`jnl`	Precise-Physics Driven Text-to-3D Generation. CoRR Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong
2024	J	`jnl`	Prototype Optimization with Neural ODE for Few-Shot Learning. CoRR Baoquan Zhang, Shanshan Feng, Bingqi Shan, Xutao Li, Yunming Ye, Yew-Soon Ong
2024	J	`jnl`	Pushing Rendering Boundaries: Hard Gaussian Splatting. CoRR Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang
2024	A*	`conf`	Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong
2024	J	`jnl`	Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2024	J	`jnl`	Road Network Representation Learning with the Third Law of Geography. CoRR Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
2024	A*	`conf`	Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong
2024	J	`jnl`	SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs. CoRR Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong
2024	J	`jnl`	Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong
2024	J	`jnl`	The Digital Ecosystem of Beliefs: does evolution favour AI over humans? CoRR David M. Bossens, Shanshan Feng, Yew-Soon Ong
2024	A*	`conf`	Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. ACM Multimedia Hua Yu, Weiming Liu, Jiapeng Bai, Xu Gui, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
2024	—	`conf`	Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery. CAI Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi
2024	J	`jnl`	Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. CoRR Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong
2024	J	`jnl`	Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2024	A	`conf`	Unified Denoising Training for Recommendation. RecSys Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong
2024	J	`jnl`	Video Set Distillation: Information Diversification and Temporal Densification. CoRR Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou
2024	A*	`conf`	Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding. EMNLP Heng Zhao, Yinjie Zhao, Bihan Wen, Yew-Soon Ong, Joey Zhou
2024	J	`jnl`	Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong
2024	J	`jnl`	Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong
2024	J	`jnl`	Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding. IEEE Trans. Neural Networks Learn. Syst. Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
2023	J	`jnl`	A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
2023	A*	`conf`	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2023	J	`jnl`	Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma
2023	J	`jnl`	Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
2023	J	`jnl`	Bayesian Federated Learning: A Survey. CoRR Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar
2023	J	`jnl`	Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. Yuan Gao, Yew-Soon Ong, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Shanfeng Wang
2023	J	`jnl`	Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
2023	J	`jnl`	Compact network embedding for fast node classification. Pattern Recognit. Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng
2023	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023	J	`jnl`	Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2023	J	`jnl`	Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023	J	`jnl`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao
2023	J	`jnl`	Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
2023	J	`jnl`	Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2023	J	`jnl`	GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm. IEEE Trans. Cybern. Linbo Luo, Xinyu Wang, Jianfeng Ma, Yew-Soon Ong
2023	J	`jnl`	HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning. CoRR Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye
2023	J	`jnl`	Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, A. K. Qin, Yew-Soon Ong
2023	J	`jnl`	Inverse Transfer Multiobjective Optimization. CoRR Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2023	J	`jnl`	Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim
2023	B	`conf`	LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2023	J	`jnl`	LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2023	J	`jnl`	Large Language Models as Evolutionary Optimizers. CoRR Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2023	J	`jnl`	Large Language Models for Intent-Driven Session Recommendations. CoRR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
2023	J	`jnl`	Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong
2023	J	`jnl`	Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang
2023	A*	`conf`	Masked Frequency Modeling for Self-Supervised Visual Pre-Training. ICLR Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2023	—	`conf`	Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023	J	`jnl`	Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023	J	`jnl`	Multiparty Dual Learning. IEEE Trans. Cybern. Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2023	J	`jnl`	Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
2023	J	`jnl`	Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2023	J	`jnl`	Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang
2023	—	`conf`	Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2023	J	`jnl`	PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction. CoRR Jianyao Xu, Qingshan Xu, Xinyao Liao, Wanjuan Su, Chen Zhang, Yew-Soon Ong, Wenbing Tao
2023	—	`conf`	Prompt Evolution for Generative AI: A Classifier-Guided Approach. CAI Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
2023	J	`jnl`	Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
2023	J	`jnl`	Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
2023	J	`jnl`	Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He
2023	J	`jnl`	Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2022	J	`jnl`	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2022	J	`jnl`	A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. Gexiang Zhang, Xihai Zhang, Haina Rong, Prithwineel Paul, Ming Zhu, Ferrante Neri, Yew-Soon Ong
2022	J	`jnl`	A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2022	B	`conf`	A multifactorial differential evolution with hybrid global and local search strategies. CEC Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma
2022	B	`conf`	An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC Ray Lim, Abhishek Gupta, Yew-Soon Ong
2022	J	`jnl`	Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu
2022	J	`jnl`	Co-Learning Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2022	J	`jnl`	Correction to: Evolutionary optimization of large complex problems. Complex Intell. Syst. Handing Wang, Chaoli Sun, Jinliang Ding, Yew-Soon Ong
2022	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2022	J	`jnl`	Delving into Inter-Image Invariance for Unsupervised Visual Representations. Int. J. Comput. Vis. Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2022	J	`jnl`	Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2022	J	`jnl`	Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2022	J	`jnl`	Evolutionary optimization of large complex problems. Complex Intell. Syst. Handing Wang, Chaoli Sun, Jinliang Ding, Yew-Soon Ong
2022	J	`jnl`	Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
2022	J	`jnl`	From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
2022	J	`jnl`	Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. CoRR Qiancheng Fu, Qingshan Xu, Yew-Soon Ong, Wenbing Tao
2022	J	`jnl`	Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
2022	J	`jnl`	Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
2022	J	`jnl`	How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? CoRR Alvin Chan, Yew-Soon Ong, Clement Tan
2022	J	`jnl`	Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He
2022	J	`jnl`	Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. Sijia Zhang, Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong
2022	J	`jnl`	JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2022	J	`jnl`	Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim
2022	J	`jnl`	Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data. CoRR Suryadi, Yew-Soon Ong, Lock Yue Chew
2022	J	`jnl`	Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2022	J	`jnl`	Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2022	J	`jnl`	Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong
2022	J	`jnl`	Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen
2022	J	`jnl`	Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan
2022	—	`conf`	Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
2022	J	`jnl`	Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
2022	J	`jnl`	Understanding Diversity in Session-Based Recommendation. CoRR Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2022	J	`jnl`	Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. Tiantian He, Lu Bai, Yew-Soon Ong
2021	J	`jnl`	A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential. IEEE Trans. Cybern. Zhen Zhang, Yew-Soon Ong, Dongqing Wang, Binqiang Xue
2021	J	`jnl`	Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing
2021	J	`jnl`	CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2021	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass
2021	J	`jnl`	Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
2021	J	`jnl`	Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
2021	A*	`conf`	CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
2021	J	`jnl`	Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
2021	J	`jnl`	Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction. IEEE Trans. Syst. Man Cybern. Syst. Yaqing Hou, Yew-Soon Ong, Jing Tang, Yifeng Zeng
2021	J	`jnl`	Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong
2021	J	`jnl`	Graph Joint Attention Networks. CoRR Tiantian He, Lu Bai, Yew-Soon Ong
2021	J	`jnl`	Half a Dozen Real-World Applications of Evolutionary Multitasking and More. CoRR Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
2021	J	`jnl`	Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong
2021	J	`jnl`	Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. Haitao Liu, Yew-Soon Ong, Jianfei Cai
2021	J	`jnl`	Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong
2021	J	`jnl`	Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
2021	J	`jnl`	Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
2021	J	`jnl`	Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2021	J	`jnl`	Multi-Party Dual Learning. CoRR Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2021	J	`jnl`	Multi-Space Evolutionary Search for Large-Scale Optimization. CoRR Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
2021	J	`jnl`	Multi-source propagation aware network clustering Neurocomputing Tiantian He, Yew-Soon Ong, Pengwei Hu
2021	J	`jnl`	Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang
2021	J	`jnl`	Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2021	J	`jnl`	RNA Alternative Splicing Prediction with Discrete Compositional Energy Network. CoRR Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan
2021	—	`conf`	RNA alternative splicing prediction with discrete compositional energy network. CHIL Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan
2021	J	`jnl`	Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang
2021	J	`jnl`	Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong
2021	J	`jnl`	Unsupervised Object-Level Representation Learning from Scene Images. CoRR Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2021	J	`jnl`	Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. CoRR Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
2021	J	`jnl`	[Guest Editorial]. IEEE Comput. Intell. Mag. Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin
2020	A*	`conf`	A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong
2020	A	`conf`	Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
2020	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2020	J	`jnl`	CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
2020	J	`jnl`	Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong
2020	J	`jnl`	DEVDAN: Deep evolving denoising autoencoder. Neurocomputing Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
2020	J	`jnl`	Deep Latent-Variable Kernel Learning. CoRR Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2020	J	`jnl`	Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
2020	J	`jnl`	Delving into Inter-Image Invariance for Unsupervised Visual Representations. CoRR Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2020	—	`conf`	Genetic Programming Multitasking. SSCI Ahmed Kattan, Faiyaz Doctor, Yew-Soon Ong, Alexandros Agapitos
2020	J	`jnl`	Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic
2020	J	`jnl`	Heterogeneous Representation Learning: A Review. CoRR Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong
2020	A*	`conf`	Jacobian Adversarially Regularized Networks for Robustness. ICLR Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu
2020	J	`jnl`	Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2020	J	`jnl`	Multi-task gradient descent for multi-task learning. Memetic Comput. Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2020	J	`jnl`	Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Trans. Evol. Comput. Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan
2020	J	`jnl`	Multifactorial Genetic Programming for Symbolic Regression Problems. IEEE Trans. Syst. Man Cybern. Syst. Jinghui Zhong, Liang Feng, Wentong Cai, Yew-Soon Ong
2020	A*	`conf`	Online Deep Clustering for Unsupervised Representation Learning. CVPR Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2020	J	`jnl`	Online Deep Clustering for Unsupervised Representation Learning. CoRR Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2020	—	`conf`	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
2020	J	`jnl`	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
2020	J	`jnl`	Precise object detection using adversarially augmented local/global feature fusion. Eng. Appl. Artif. Intell. Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong
2020	J	`jnl`	Relational Thematic Clustering with Mutually Preferred Neighbors. CoRR Tiantian He, Lu Bai, Yew-Soon Ong
2020	J	`jnl`	Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. CoRR Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
2020	J	`jnl`	Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2020	A*	`conf`	What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. CVPR Alvin Chan, Yi Tay, Yew-Soon Ong
2020	J	`jnl`	What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera
2020	J	`jnl`	When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Trans. Neural Networks Learn. Syst. Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai
2019	J	`jnl`	A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang
2019	J	`jnl`	A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2019	J	`jnl`	A Survey on Multi-output Learning. CoRR Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2019	J	`jnl`	AIR IEEE Trans. Emerg. Top. Comput. Intell. Yew-Soon Ong, Abhishek Gupta
2019	A	`conf`	Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding
2019	J	`jnl`	Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding
2019	J	`jnl`	Back to the Roots: Multi-X Evolutionary Computation. Cogn. Comput. Abhishek Gupta, Yew-Soon Ong
2019	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2019	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yew-Soon Ong
2019	—	`conf`	Can route planning be smarter with transfer optimization? GECCO (Companion) Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang
2019	J	`jnl`	Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. Memetic Comput. Liang Feng, Abhishek Gupta, Yew-Soon Ong
2019	—	`conf`	Coping with Big Data in Transfer Optimization. IEEE BigData Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng
2019	J	`jnl`	Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. IEEE Trans. Cybern. Bingshui Da, Abhishek Gupta, Yew-Soon Ong
2019	J	`jnl`	DEVDAN: Deep Evolving Denoising Autoencoder. CoRR Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
2019	J	`jnl`	Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng
2019	J	`jnl`	Domination landscape in evolutionary algorithms and its applications. Soft Comput. Guosheng Hao, Meng-Hiot Lim, Yew-Soon Ong, Han Huang, Gai-Ge Wang
2019	J	`jnl`	Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang
2019	J	`jnl`	Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, A. K. Qin
2019	J	`jnl`	Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. IEEE Trans. Cybern. Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang
2019	J	`jnl`	Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu
2019	J	`jnl`	Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons. IEEE Trans. Cybern. Weili Guo, Yew-Soon Ong, Yingjiang Zhou, Jaime Rubio Hervas, Aiguo Song, Haikun Wei
2019	J	`jnl`	Jacobian Adversarially Regularized Networks for Robustness. CoRR Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu
2019	B	`conf`	Manifold Regularized Stochastic Block Model. ICTAI Tiantian He, Lu Bai, Yew-Soon Ong
2019	B	`conf`	Memetic Evolution Strategy for Reinforcement Learning. CEC Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen
2019	J	`jnl`	Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
2019	J	`jnl`	Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh
2019	J	`jnl`	On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi
2019	J	`jnl`	Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks. CoRR Alvin Chan, Yew-Soon Ong
2019	J	`jnl`	Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. CoRR Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen
2019	—	`conf`	The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang
2019	J	`jnl`	Understanding and comparing scalable Gaussian process regression for big data. Knowl. Based Syst. Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2019	J	`jnl`	What it Thinks is Important is Important: Robustness Transfers through Input Gradients. CoRR Alvin Chan, Yi Tay, Yew-Soon Ong
2018	—	`ed.`	2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018 ICBK Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen
2018	J	`jnl`	A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong
2018	B	`conf`	A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. CEC Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu
2018	J	`jnl`	AIR5: Five Pillars of Artificial Intelligence Research. CoRR Yew-Soon Ong, Abhishek Gupta
2018	J	`jnl`	Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl. Based Syst. Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
2018	J	`jnl`	Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer
2018	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2018	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2018	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2018	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong
2018	J	`jnl`	Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2018	A*	`conf`	Compact Multi-Label Learning. AAAI Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong
2018	J	`jnl`	Computational intelligence in optical remote sensing image processing. Appl. Soft Comput. Yanfei Zhong, Ailong Ma, Yew-Soon Ong, Zexuan Zhu, Liangpei Zhang
2018	A	`conf`	Context-based and Explainable Decision Making with Argumentation. AAMAS Zhiwei Zeng, Xiuyi Fan, Chunyan Miao, Cyril Leung, Jing Jih Chin, Yew-Soon Ong
2018	J	`jnl`	Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. Artif. Intell. Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang
2018	A*	`conf`	Deep Discrete Prototype Multilabel Learning. IJCAI Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
2018	A*	`conf`	Discrete Network Embedding. IJCAI Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun
2018	J	`jnl`	Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh
2018	A*	`conf`	Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018	J	`jnl`	Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018	J	`jnl`	How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang
2018	J	`jnl`	Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerg. Top. Comput. Intell. Abhishek Gupta, Yew-Soon Ong, Liang Feng
2018	J	`jnl`	Large-scale Heteroscedastic Regression via Gaussian Process. CoRR Haitao Liu, Yew-Soon Ong, Jianfei Cai
2018	J	`jnl`	Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. CoRR Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong
2018	J	`jnl`	Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Networks Learn. Syst. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong
2018	J	`jnl`	Numerical Analysis near Singularities in RBF Networks. J. Mach. Learn. Res. Weili Guo, Haikun Wei, Yew-Soon Ong, Jaime Rubio Hervas, Junsheng Zhao, Hai Wang, Kanjian Zhang
2018	J	`jnl`	Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu
2018	J	`jnl`	Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. CoRR Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim
2018	J	`jnl`	Remarks on multi-output Gaussian process regression. Knowl. Based Syst. Haitao Liu, Jianfei Cai, Yew-Soon Ong
2018	J	`jnl`	Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities. CoRR Wesley Joon-Wie Tann, Xing Jie Han, Sourav Sen Gupta, Yew-Soon Ong
2018	A*	`conf`	Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2018	J	`jnl`	Understanding and Comparing Scalable Gaussian Process Regression for Big Data. CoRR Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2018	J	`jnl`	When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai
2017	J	`jnl`	A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang
2017	J	`jnl`	Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
2017	J	`jnl`	An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Trans. Evol. Comput. Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada
2017	J	`jnl`	An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Comput. Chem. Eng. Haitao Liu, Jianfei Cai, Yew-Soon Ong
2017	J	`jnl`	Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evol. Comput. Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta
2017	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong
2017	J	`jnl`	Co-evolutionary multi-task learning for dynamic time series prediction. CoRR Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2017	J	`jnl`	Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2017	J	`jnl`	Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. Artif. Intell. Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni
2017	J	`jnl`	Editorial IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Yew-Soon Ong
2017	J	`jnl`	Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017	J	`jnl`	Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
2017	J	`jnl`	Extreme learning machine for indoor location fingerprinting. Multidimens. Syst. Signal Process. Felis Dwiyasa, Meng-Hiot Lim, Yew-Soon Ong, Bijaya K. Panigrahi
2017	J	`jnl`	Gene Expression Programming: A Survey [Review Article]. IEEE Comput. Intell. Mag. Jinghui Zhong, Liang Feng, Yew-Soon Ong
2017	J	`jnl`	Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
2017	B	`conf`	Linearized domain adaptation in evolutionary multitasking. CEC Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan
2017	A*	`conf`	MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. CVPR Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong
2017	J	`jnl`	MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information. CoRR Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong
2017	J	`jnl`	Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan
2017	—	`ch.`	On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking. Recent Advances in Evolutionary Multi-objective Optimization Abhishek Gupta, Bingshui Da, Yuan Yuan, Yew-Soon Ong
2017	B	`conf`	Solving dynamic vehicle routing problem via evolutionary search with learning capability. CEC Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan
2017	A*	`conf`	Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh
2017	J	`jnl`	Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Trans. Evol. Comput. Yifeng Zeng, Xuefeng Chen, Yew-Soon Ong, Jing Tang, Yanping Xiang
2016	—	`ed.`	2016 Eighth International Conference on Knowledge and Systems Engineering, KSE 2016, Hanoi, Vietnam, October 6-8, 2016 KSE Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van-Giang Nguyen, Yew-Soon Ong, Keiji Hirata
2016	J	`jnl`	A Fast Reduced Kernel Extreme Learning Machine. Neural Networks Wan-Yu Deng, Yew-Soon Ong, Qing-Hua Zheng
2016	A	`conf`	A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. AAMAS Yaqing Hou, Yifeng Zeng, Yew-Soon Ong
2016	B	`conf`	A conceptual modeling of flocking-regulated multi-agent reinforcement learning. IJCNN C. S. Chen, Yaqing Hou, Yew-Soon Ong
2016	B	`conf`	A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. CEC Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha
2016	J	`jnl`	Adaptive Subgradient Methods for Online AUC Maximization. CoRR Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong
2016	B	`conf`	Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. CEC Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan
2016	B	`conf`	Application of route flexibility in data-starved vehicle routing problem with time windows. CEC Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong
2016	J	`jnl`	Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. Soft Comput. Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen
2016	—	`conf`	Concurrently searching branches in software tests generation through multitask evolution. SSCI Ramón Sagarna, Yew-Soon Ong
2016	B	`conf`	Creating human-like non-player game characters using a Memetic Multi-Agent System. IJCNN Yaqing Hou, Liang Feng, Yew-Soon Ong
2016	J	`jnl`	Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks. Ann. Oper. Res. Shahrzad Faghih-Roohi, Yew-Soon Ong, Sobhan Asian, Allan N. Zhang
2016	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson
2016	—	`conf`	Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
2016	J	`jnl`	Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cogn. Comput. Yew-Soon Ong, Abhishek Gupta
2016	B	`conf`	Evolutionary multitasking across single and multi-objective formulations for improved problem solving. CEC Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016	—	`conf`	Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem. SSCI Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha
2016	J	`jnl`	GP made faster with semantic surrogate modelling. Inf. Sci. Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill
2016	J	`jnl`	Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR Abhishek Gupta, Yew-Soon Ong
2016	—	`conf`	Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI Abhishek Gupta, Yew-Soon Ong
2016	B	`conf`	Landscape synergy in evolutionary multitasking. CEC Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko
2016	J	`jnl`	Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria
2016	J	`jnl`	Making Trillion Correlations Feasible in Feature Grouping and Selection. IEEE Trans. Pattern Anal. Mach. Intell. Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang
2016	J	`jnl`	Memetic Music Composition. IEEE Trans. Evol. Comput. Enrique Muñoz Ballester, José Manuel Cadenas, Yew-Soon Ong, Giovanni Acampora
2016	J	`jnl`	Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evol. Comput. Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016	J	`jnl`	Online sequential reduced kernel extreme learning machine. Neurocomputing Wan-Yu Deng, Yew-Soon Ong, Puay Siew Tan, Qing-Hua Zheng
2016	B	`conf`	Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh
2016	—	`conf`	Preface KSE 2016. KSE Minh Le Nguyen, Le Sy Vinh, Yew-Soon Ong, Lam Thu Bui, Keiji Hirata
2016	J	`jnl`	Self-Learning Gene Expression Programming. IEEE Trans. Evol. Comput. Jinghui Zhong, Yew-Soon Ong, Wentong Cai
2016	B	`conf`	Semi-supervised auto-encoder based on manifold learning. IJCNN Yawei Li, Lizuo Jin, A. K. Qin, Changyin Sun, Yew-Soon Ong, Tong Cui
2016	J	`jnl`	Soft computing in remote sensing image processing. Soft Comput. Yanfei Zhong, Zexuan Zhu, Yew-Soon Ong
2016	J	`jnl`	Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Trans. Intell. Transp. Syst. Gitae Kim, Yew-Soon Ong, Taesu Cheong, Puay Siew Tan
2016	J	`jnl`	Specialization of a UCT-Based General Game Playing Program to Single-Player Games. IEEE Trans. Comput. Intell. AI Games Maciej Swiechowski, Jacek Mandziuk, Yew-Soon Ong
2016	—	`conf`	The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016	—	`conf`	Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis. UKSim Stanley Frederick W. T. Lim, Allan N. Zhang, Mark Goh, Yew-Soon Ong, Puay Siew Tan
2016	J	`jnl`	Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta
2016	B	`conf`	Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai
2015	J	`jnl`	A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan
2015	—	`conf`	A data-driven approach for online adaptation of game difficulty. CIG Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong
2015	J	`jnl`	Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems. Frontiers Comput. Sci. Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Yonggang Wen, Yew-Soon Ong, Weiya Xi
2015	A*	`conf`	An Adaptive Gradient Method for Online AUC Maximization. AAAI Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong
2015	B	`conf`	An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC Abhishek Gupta, Yew-Soon Ong
2015	J	`jnl`	City Vehicle Routing Problem (City VRP): A Review. IEEE Trans. Intell. Transp. Syst. Gitae Kim, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan, Nengsheng Allan Zhang
2015	J	`jnl`	Deep transfer learning for classification of time-delayed Gaussian networks. Signal Process. Iti Chaturvedi, Yew-Soon Ong, Rajesh Vellore Arumugam
2015	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson
2015	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson
2015	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson
2015	J	`jnl`	Meme representations for game agents. World Wide Web Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong
2015	J	`jnl`	Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Comput. Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang
2015	J	`jnl`	Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP. IEEE Trans. Evol. Comput. Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang
2015	—	`conf`	Offline time-sensitive travel time estimation in an urban road network. IEEM Qing Guo, Chen Kim Heng, Yin-Leng Theng, Yew-Soon Ong, Puay Siew Tan
2015	B	`conf`	Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan
2015	J	`jnl`	Surrogate Genetic Programming: A semantic aware evolutionary search. Inf. Sci. Ahmed Kattan, Yew-Soon Ong
2015	—	`conf`	Towards Evolutionary Multitasking: A New Paradigm. SoICT Yew-Soon Ong
2014	A	`conf`	A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2014	B	`conf`	An integrated intelligent technique for monthly rainfall time series prediction. FUZZ-IEEE Jesada Kajornrit, Kevin Kok Wai Wong, Lance Chun Che Fung, Yew-Soon Ong
2014	J	`jnl`	Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng
2014	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2014	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2014	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2014	J	`jnl`	Multiobjective optimization based on reputation. Inf. Sci. Siwei Jiang, Jie Zhang, Yew-Soon Ong
2014	J	`jnl`	The Emerging ?Big Dimensionality? IEEE Comput. Intell. Mag. Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang
2014	B	`conf`	Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi
2013	B	`conf`	A Review of Complex Systems Technologies for Supply Chain Risk Management. SMC Zhengping Li, Puay Siew Tan, Qi Ming Gabriel Yee, Quoc Chinh Nguyen, Yew-Soon Ong, Xianshun Chen
2013	B	`conf`	A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems. IEEE Congress on Evolutionary Computation Xuefeng Chen, Yifeng Zeng, Yew-Soon Ong, Choon Sing Ho, Yanping Xiang
2013	B	`conf`	Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art. SMC Xianshun Chen, Yew-Soon Ong, Puay Siew Tan, NengSheng Zhang, Zhengping Li
2013	B	`conf`	An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains. SMC Quoc Chinh Nguyen, Zhengping Li, Puay Siew Tan, Xianshun Chen, Yew-Soon Ong
2013	A	`conf`	An evolutionary model for constructing robust trust networks. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2013	J	`jnl`	Combating Negative Transfer From Predictive Distribution Differences. IEEE Trans. Cybern. Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang
2013	J	`jnl`	Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. IEEE Comput. Intell. Mag. Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man
2013	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2013	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2013	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2013	J	`jnl`	Evolution by Adapting Surrogates. Evol. Comput. Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
2013	J	`jnl`	Extreme Learning Machines. IEEE Intell. Syst. Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
2013	J	`jnl`	Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Comput. Appl. Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo
2013	B	`conf`	Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. IEEE Congress on Evolutionary Computation Ahmed Kattan, Yew-Soon Ong, Edgar Galván López
2013	—	`conf`	Multi-game playing - A challenge for computational intelligence. CIHLI Jacek Mandziuk, Yew-Soon Ong, Karol Waledzik
2013	Misc	`conf`	Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network. ICNC Ge Zhang, Yonggang Wen, Yew-Soon Ong
2013	J	`jnl`	Transfer Ordinal Label Learning. IEEE Trans. Neural Networks Learn. Syst. Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2012	J	`jnl`	A Conceptual Modeling of Meme Complexes in Stochastic Search. IEEE Trans. Syst. Man Cybern. Part C Xianshun Chen, Yew-Soon Ong
2012	J	`jnl`	A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2012	A	`conf`	A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2012	J	`jnl`	A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem. Int. J. Syst. Sci. Xianshun Chen, Liang Feng, Yew-Soon Ong
2012	J	`jnl`	A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules. Comput. Math. Appl. Mostafa Mostafa Hashim Ellabaan, Stephanus Daniel Handoko, Yew-Soon Ong, Chee Keong Kwoh, S. A. Bahnassy, F. M. Elassawy, H. Y. Man
2012	B	`conf`	An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan
2012	A	`conf`	An improved CUDA-based implementation of differential evolution on GPU. GECCO A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong
2012	B	`conf`	Autonomous flock brush for non-photorealistic rendering. IEEE Congress on Evolutionary Computation Hsueh En Huang, Yew-Soon Ong, Xianshun Chen
2012	A*	`conf`	Discovering Support and Affiliated Features from Very High Dimensions. ICML Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong
2012	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Natalio Krasnogor, Yew-Soon Ong, Steven M. Gustafson
2012	J	`jnl`	Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization". IEEE ACM Trans. Comput. Biol. Bioinform. Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2012	—	`conf`	Experiences on memetic computation for locating transition states in biochemical applications. GECCO (Companion) Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
2012	—	`conf`	FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development. SEAL Choon Sing Ho, Yew-Soon Ong, Xianshun Chen, Ah-Hwee Tan
2012	A*	`conf`	Learning Target Predictive Function without Target Labels. ICDM Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao
2012	A	`conf`	Maximum margin clustering on evolutionary data. CIKM Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong
2012	J	`jnl`	Meme as Building Block for Evolutionary Optimization of Problem Instances CoRR Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang
2012	B	`conf`	Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff
2012	J	`jnl`	Ockham's Razor in memetic computing: Three stage optimal memetic exploration. Inf. Sci. Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim
2012	B	`conf`	Pareto Rank Learning in Multi-objective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang
2012	J	`jnl`	QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2012	—	`ed.`	Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings SEAL Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan
2012	J	`jnl`	Transductive Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2012	A	`conf`	Virtual characters in agent-augmented co-space (demonstration). AAMAS Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao
2011	J	`jnl`	A Multi-Facet Survey on Memetic Computation. IEEE Trans. Evol. Comput. Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan
2011	J	`jnl`	A hybrid agent architecture integrating desire, intention and reinforcement learning. Expert Syst. Appl. Ah-Hwee Tan, Yew-Soon Ong, Akejariyawong Tapanuj
2011	B	`conf`	A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta
2011	—	`conf`	Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence Siwei Jiang, Jie Zhang, Yew-Soon Ong
2011	B	`conf`	Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. IEEE Congress on Evolutionary Computation Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan
2011	J	`jnl`	Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. Int. J. Comput. Biol. Drug Des. William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine
2011	J	`jnl`	Guest Editorial. IEEE Trans. Evol. Comput. Yew-Soon Ong, Kay Chen Tan
2011	A*	`conf`	Healing Sample Selection Bias by Source Classifier Selection. ICDM Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong
2011	Misc	`conf`	Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong
2011	—	`conf`	Neural meta-memes framework for managing search algorithms in combinatorial optimization. Memetic Computing Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong
2011	B	`conf`	RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. ICTAI Manoranjan Dash, Yew-Soon Ong
2011	J	`jnl`	Toward an Evolutionary Computing Modeling Language. IEEE Trans. Evol. Comput. Heiko Aydt, Stephen John Turner, Wentong Cai, Malcolm Yoke Hean Low, Yew-Soon Ong, Rassul Ayani
2011	B	`conf`	Towards human-like social multi-agents with memetic automaton. IEEE Congress on Evolutionary Computation Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen
2011	J	`jnl`	Transductive Ordinal Regression CoRR Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2010	J	`jnl`	A self-organizing neural architecture integrating desire, intention and reinforcement learning. Neurocomputing Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong
2010	J	`jnl`	An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong
2010	C	`conf`	Autonomous Multi-agents in Flexible Flock Formation. MIG Choon Sing Ho, Quang Huy Nguyen, Yew-Soon Ong, Xianshun Chen
2010	B	`conf`	Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring. IEEE Congress on Evolutionary Computation Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad Idris
2010	—	`conf`	Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening. BIBM Workshops William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Yew-Soon Ong, Ivor Wai-Hung Tsang, Victor Racine, Frédéric Bard
2010	—	`ed.`	Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings CSBio Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho
2010	J	`jnl`	Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis. IEEE Trans. Evol. Comput. Harold Soh, Yew-Soon Ong, Quoc Chinh Nguyen, Quang Huy Nguyen, Mohamed Salahuddin Habibullah, Terence Hung, Jer-Lai Kuo
2010	J	`jnl`	Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms. IEEE Trans. Evol. Comput. Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2010	J	`jnl`	Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff
2010	J	`jnl`	Identification of Full and Partial Class Relevant Genes. IEEE ACM Trans. Comput. Biol. Bioinform. Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
2010	J	`jnl`	Memetic Computation - Past, Present & Future [Research Frontier]. IEEE Comput. Intell. Mag. Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen
2010	—	`conf`	Neural Meta-Memes Framework for Combinatorial Optimization. SEMCCO Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong
2010	—	`conf`	Predictive Distribution Matching SVM for Multi-domain Learning. ECML/PKDD (1) Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee
2010	—	`conf`	Structural analysis of (TCR - )HLA/peptide complexes: An initial study. BIBM Workshops Stephanus Daniel Handoko, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2010	B	`conf`	Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. IEEE Congress on Evolutionary Computation Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan
2010	C	`conf`	Youth Olympic Village Co-space. CW 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
2009	J	`jnl`	A Probabilistic Memetic Framework. IEEE Trans. Evol. Comput. Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim
2009	J	`jnl`	A proposition on memes and meta-memes in computing for higher-order learning. Memetic Comput. Ryan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. Wunsch
2009	J	`jnl`	Adaptive Cellular Memetic Algorithms. Evol. Comput. Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim, Natalio Krasnogor
2009	—	`conf`	Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. Australasian Conference on Artificial Intelligence Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2009	J	`jnl`	Editorial to the first issue. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2009	J	`jnl`	Editorial. Memetic Comput. Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong
2009	—	`conf`	Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm. CIRA Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Meng-Hiot Lim, Jer-Lai Kuo
2009	J	`jnl`	Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2009	J	`jnl`	Special issue on emerging trends in soft computing: memetic algorithms. Soft Comput. Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
2009	C	`conf`	Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search. ISDA Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
2008	J	`jnl`	A BDI Assignment Protocol With New Cooperative-Concession Strategies. IEEE Trans. Syst. Man Cybern. Part A Kiam Tian Seow, Kwang Mong Sim, Yew-Soon Ong, E. P. Sulaiman
2008	—	`conf`	A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms. ICIC (2) Minh Nghia Le, Yew-Soon Ong
2008	Misc	`conf`	A Multi-Objective Memetic Algorithm Based Clustering Method. IC-AI Anh-Duc Do, Siu-Yeung Cho, Yew-Soon Ong
2008	J	`jnl`	A fast pruned-extreme learning machine for classification problem. Neurocomputing Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu
2008	B	`conf`	A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. IEEE Congress on Evolutionary Computation Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim
2008	B	`conf`	An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh
2008	B	`conf`	Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems. IEEE Congress on Evolutionary Computation Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong
2008	—	`conf`	Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2008	B	`conf`	Extreme learning machine for multi-categories classification applications. IJCNN Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong
2008	J	`jnl`	Hybrid ant colony algorithms for path planning in sparse graphs. Soft Comput. Kwee Kim Lim, Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen, Amit Agarwal
2008	J	`jnl`	Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers. Comput. Optim. Appl. Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair
2008	B	`conf`	Memetic Gradient Search. IEEE Congress on Evolutionary Computation Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh
2008	A	`conf`	Non-genetic transmission of memes by diffusion. GECCO Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim
2008	A	`conf`	Optinformatics for schema analysis of binary genetic algorithms. GECCO Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen
2008	B	`conf`	Using classification for constrained memetic algorithm: A new paradigm. SMC Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2007	A	`conf`	A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2007	B	`conf`	A study on the design issues of Memetic Algorithm. IEEE Congress on Evolutionary Computation Quang Huy Nguyen, Yew-Soon Ong, Natalio Krasnogor
2007	J	`jnl`	An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies. IEEE ACM Trans. Comput. Biol. Bioinform. Ferrante Neri, Jari Toivanen, Giuseppe Leonardo Cascella, Yew-Soon Ong
2007	J	`jnl`	Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Part C Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum
2007	J	`jnl`	Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems. Soft Comput. Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
2007	J	`jnl`	Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
2007	—	`book`	Evolutionary Computation in Dynamic and Uncertain Environments Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2007	—	`ch.`	Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network. Evolutionary Scheduling Ju Hui Li, Meng-Hiot Lim, Yew-Soon Ong, Qi Cao
2007	B	`conf`	Grid-based PSE for Engineering of Materials (GPEM). CCGRID Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia
2007	B	`conf`	Hierarchical model parallel memetic algorithm in heterogeneous computing environment. IEEE Congress on Evolutionary Computation Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song
2007	J	`jnl`	Markov blanket-embedded genetic algorithm for gene selection. Pattern Recognit. Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash
2007	—	`conf`	Memetic Algorithms for Feature Selection on Microarray Data. ISNN (1) Zexuan Zhu, Yew-Soon Ong
2007	J	`jnl`	Memetic algorithm using multi-surrogates for computationally expensive optimization problems. Soft Comput. Zongzhao Zhou, Yew-Soon Ong, Meng-Hiot Lim, Bu-Sung Lee
2007	B	`conf`	Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong
2007	—	`conf`	Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization. MCDM Harold Soh, Yew-Soon Ong, Mohamed Salahuddin, Terence Hung, Bu-Sung Lee
2007	—	`ch.`	Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. Evolutionary Computation in Dynamic and Uncertain Environments Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin
2007	J	`jnl`	Special Issue on Memetic Algorithms. IEEE Trans. Syst. Man Cybern. Part B Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi
2007	J	`jnl`	Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework. IEEE Trans. Syst. Man Cybern. Part B Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash
2006	A	`conf`	A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. GECCO Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
2006	J	`jnl`	A context switchable fuzzy inference chip. IEEE Trans. Fuzzy Syst. Qi Cao, Meng-Hiot Lim, Ju Hui Li, Yew-Soon Ong, Willie Ng
2006	J	`jnl`	A new machine learning paradigm for terrain reconstruction. IEEE Geosci. Remote. Sens. Lett. Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang, Amit Agarwal, Yew-Soon Ong
2006	A	`conf`	Adaptation for parallel memetic algorithm based on population entropy. GECCO Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
2006	B	`conf`	Analysis of Jobs in a Multi-Organizational Grid Test-bed. CCGRID Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson
2006	J	`jnl`	Classification of adaptive memetic algorithms: a comparative study. IEEE Trans. Syst. Man Cybern. Part B Yew-Soon Ong, Meng-Hiot Lim, Ning Zhu, Kok Wai Wong
2006	C	`conf`	Computational Capabilities of Soft-Computing Frameworks: An Overview. ICARCV Narendra S. Chaudhari, Yew-Soon Ong, V. Trivedi
2006	B	`conf`	Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation. IEEE Congress on Evolutionary Computation Yew-Soon Ong, Zongzhao Zhou, Dudy Lim
2006	J	`jnl`	Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet. Program. Evolvable Mach. Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2006	—	`conf`	Extreme Learning Machine for Predicting HLA-Peptide Binding. ISNN (2) Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic
2006	J	`jnl`	Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
2006	J	`jnl`	Max-min surrogate-assisted evolutionary algorithm for robust design. IEEE Trans. Evol. Comput. Yew-Soon Ong, Prasanth B. Nair, Kai Yew Lum
2006	B	`conf`	Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2005	—	`conf`	A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. ICNC (2) Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff
2005	B	`conf`	A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. Congress on Evolutionary Computation Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I ICNC (1) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II ICNC (2) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III ICNC (3) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	B	`conf`	Design and implementation of an efficient multi-cluster GridRPC system. CCGRID Quoc-Thuan Ho, Wentong Cai, Yew-Soon Ong
2005	—	`conf`	Grid Enabled Optimization. EGC Hee-Khiang Ng, Yew-Soon Ong, Terence Hung, Bu-Sung Lee
2005	—	`conf`	Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. GECCO Workshops Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
2005	—	`conf`	Reservoir Characterization Using Support Vector Machines. CIMCA/IAWTIC Kok Wai Wong, Chun Che Fung, Yew-Soon Ong, Tamás D. Gedeon
2005	A	`conf`	Solving large scale combinatorial optimization using PMA-SLS. GECCO Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er
2004	C	`conf`	A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. ICARCV Wenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee
2004	C	`conf`	GAD Kit - A Toolkit for "Gridifying" Applications. PDCAT Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai, Hee-Khiang Ng, Bu-Sung Lee
2004	B	`conf`	Hierarchical surrogate-assisted evolutionary optimization framework. IEEE Congress on Evolutionary Computation Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair
2004	J	`jnl`	Meta-Lamarckian learning in memetic algorithms. IEEE Trans. Evol. Comput. Yew-Soon Ong, Andy J. Keane
2004	C	`conf`	Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. ICARCV Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er
2004	J	`jnl`	Using Memetic Algorithms for Fuzzy Modelling. Aust. J. Intell. Inf. Process. Syst. Ning Zhu, Yew-Soon Ong, Kok Wai Wong, Kiam Tian Seow
2004	B	`conf`	Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. APBC See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
2003	—	`conf`	"Gridifying" Aerodynamic Design Problem Using GridRPC. GCC (1) Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai
2003	B	`conf`	A parallel hybrid GA for combinatorial optimization using grid technology. IEEE Congress on Evolutionary Computation Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
2003	B	`conf`	Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design. IEEE Congress on Evolutionary Computation Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi, Z. K. Zhang
2003	B	`conf`	Handwritten Chinese character recognition using kernel active handwriting model. SMC Daming Shi, Yew-Soon Ong, Eng Chong Tan
2002	—	`—`	Artificial intelligence technologies in complex engineering design. Yew-Soon Ong