Kay Chen Tan - RankMe

639 papers A* 16A 5B 84C 13Misc 2Journal 460Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study. CoRR Wenlong Hou, Sheng Bi, Guangqian Yang, Lihao Liu, Ye Du, Hanxiao Xue, Juncheng Wang, Yuxiang Feng, Yue Xun, Nanxi Yu, Ning Mao, Mo Yang, Eva Yi Wah Cheung, Ling Long, Kay Chen Tan, Lequan Yu, Xiaomeng Ma, Shaozhen Yan, Shujun Wang
2026	J	`jnl`	Autonomous Multiobjective Optimization Using Large Language Model. IEEE Trans. Evol. Comput. Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2026	J	`jnl`	Bilevel Multi-Objective Pricing Scheming in Partial-Offloading Wireless-Powered Cooperative MEC. IEEE Trans. Emerg. Top. Comput. Intell. Weizhong Wang, Hai-Lin Liu, Kay Chen Tan
2026	A*	`conf`	Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes. AAAI Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan
2026	J	`jnl`	Enhancing Reinforcement Learning With Cross-Domain Knowledge Transfer via Seeded Graph Matching. IEEE Trans. Neural Networks Learn. Syst. Gengzhi Zhang, Liang Feng, Xuefeng Chen, Ke Tang, Kay Chen Tan
2026	A*	`conf`	Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. AAAI Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan, Min Jiang
2026	J	`jnl`	Fine-Grained Model Merging via Modular Expert Recombination. CoRR Haiyun Qiu, Xingyu Wu, Liang Feng, Kay Chen Tan
2026	J	`jnl`	Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off? CoRR Xinmeng Yu, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2026	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. IEEE Trans. Evol. Comput. Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2026	J	`jnl`	Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. IEEE Trans. Cogn. Dev. Syst. Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
2025	J	`jnl`	A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation. CoRR Liu-Yue Luo, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2025	B	`conf`	A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. CEC Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan
2025	J	`jnl`	A Scalable Test Problem Generator for Sequential Transfer Optimization. IEEE Trans. Cybern. Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2025	J	`jnl`	A Survey on Distributed Evolutionary Computation. IEEE Comput. Intell. Mag. Feng-Feng Wei, Wei-Neng Chen, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang
2025	J	`jnl`	A Survey on Evolutionary Computation-Based Drug Discovery. IEEE Trans. Evol. Comput. Qiyuan Yu, Qiuzhen Lin, Junkai Ji, Wei Zhou, Shan He, Zexuan Zhu, Kay Chen Tan
2025	J	`jnl`	A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving. CoRR Yisong Zhang, Ran Cheng, Guoxing Yi, Kay Chen Tan
2025	B	`conf`	A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. CEC Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan
2025	J	`jnl`	A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. CoRR Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan
2025	J	`jnl`	A dual model-based evolutionary framework for dynamic large-scale sparse multiobjective optimization. Swarm Evol. Comput. Panpan Zhang, Ru Zhang, Ye Tian, Kay Chen Tan, Xingyi Zhang
2025	J	`jnl`	An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Shuai Shao, Ye Tian, Limiao Zhang, Kay Chen Tan, Xingyi Zhang
2025	J	`jnl`	Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning. IEEE Trans. Neural Networks Learn. Syst. Yajie Zhang, Yao Hu, Chengjun Cai, Yu-An Huang, Zhi-An Huang, Kay Chen Tan
2025	J	`jnl`	CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. Medical Image Anal. Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan
2025	J	`jnl`	Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. IEEE Trans. Emerg. Top. Comput. Intell. Qingling Zhu, Yaojian Xu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan
2025	J	`jnl`	Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. IEEE Trans. Evol. Comput. Linqiang Pan, Jianqing Lin, Handing Wang, Cheng He, Kay Chen Tan, Yaochu Jin
2025	A*	`conf`	Design Principle Transfer in Neural Architecture Search via Large Language Models. AAAI Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan
2025	J	`jnl`	Diversity-Aware Policy Optimization for Large Language Model Reasoning. CoRR Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, Kay Chen Tan
2025	J	`jnl`	Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Trans. Cybern. Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
2025	J	`jnl`	Effective Identification of Lower-Level Optimal Solutions via Discriminator of Conditional Generative Adversarial Network. IEEE Trans. Evol. Comput. Weizhong Wang, Hai-Lin Liu, Kay Chen Tan
2025	J	`jnl`	Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning. CoRR Chenxiang Ma, Xinyi Chen, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Comput. Intell. Mag. Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. CoRR Beichen Huang, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. CoRR Bowen Zheng, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Trans. Evol. Comput. Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. IEEE Trans. Evol. Comput. Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2025	J	`jnl`	Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. CoRR Kebin Sun, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy. IEEE Trans. Evol. Comput. Zhenzhong Wang, Lulu Cao, Liang Feng, Min Jiang, Kay Chen Tan
2025	J	`jnl`	Evolutionary Multitasking With Adaptive Knowledge Transfer for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. Xunfeng Wu, Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Victor C. M. Leung
2025	J	`jnl`	Evolutionary Neural Architecture Search for Transferable Networks. IEEE Trans. Emerg. Top. Comput. Intell. Xun Zhou, Songbai Liu, A. K. Qin, Kay Chen Tan
2025	J	`jnl`	FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. Inf. Fusion Jihong Wan, Xiaoping Li, Pengfei Zhang, Hongmei Chen, Xiaocao Ouyang, Tianrui Li, Kay Chen Tan
2025	J	`jnl`	Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. CoRR Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan, Min Jiang
2025	J	`jnl`	Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization. IEEE Trans. Evol. Comput. Chenming Cao, Kai Zhang, Xiaoming Xue, Kay Chen Tan, Jian Wang, Liming Zhang, Piyang Liu, Xia Yan
2025	A*	`conf`	Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. AAAI Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang
2025	J	`jnl`	Knowledge Learning for Evolutionary Computation. IEEE Trans. Evol. Comput. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2025	J	`jnl`	Knowledge Structure Preserving-Based Evolutionary Many-Task Optimization. IEEE Trans. Evol. Comput. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Sam Kwong, Jun Zhang
2025	J	`jnl`	LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. CoRR Xingyu Wu, Kui Yu, Jibin Wu, Kay Chen Tan
2025	J	`jnl`	Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking. CoRR Jiajun Zhan, Zeyuan Ma, Yue-Jiao Gong, Kay Chen Tan
2025	J	`jnl`	Learning to Evolve with Convergence Guarantee via Neural Unrolling. CoRR Jiaxin Gao, Yaohua Liu, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	Learning to Transfer for Evolutionary Multitasking. IEEE Trans. Cybern. Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan
2025	J	`jnl`	Learning-Aided Evolutionary Search and Selection for Scaling-Up Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Songbai Liu, Zeyi Wang, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan
2025	J	`jnl`	Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Yulong Ye, Songbai Liu, Junwei Zhou, Qiuzhen Lin, Min Jiang, Kay Chen Tan
2025	J	`jnl`	MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction. IEEE Trans. Software Eng. Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Jiancheng Qian, Ke Li
2025	J	`jnl`	Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization. CoRR Yi Lu, Xiaoming Xue, Kai Zhang, Liming Zhang, Guodong Chen, Chenming Cao, Piyang Liu, Kay Chen Tan
2025	J	`jnl`	Multiobjective Many-Tasking Evolutionary Optimization Using Diversified Gaussian-Based Knowledge Transfer. IEEE Trans. Evol. Comput. Qiuzhen Lin, Qianhui Wang, Baihao Chen, Yulong Ye, Lijia Ma, Kay Chen Tan
2025	J	`jnl`	Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data. IEEE Trans. Neural Networks Learn. Syst. Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2025	B	`conf`	NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. CEC Lulu Cao, Yinglan Feng, Min Jiang, Kay Chen Tan
2025	A*	`conf`	Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. IJCAI Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. CoRR Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Comput. Intell. Mag. Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. CoRR Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model. CoRR Zongxian Yang, Jiayu Qian, Zhi-An Huang, Kay Chen Tan
2025	J	`jnl`	REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search. IEEE Trans. Knowl. Data Eng. Yuqi Feng, Yanan Sun, Gary G. Yen, Kay Chen Tan
2025	J	`jnl`	Rational linear kernelized weighted fuzzy rough attribute selection with class separability. Fuzzy Sets Syst. Yue Yang, Jihong Wan, Xiaoping Li, Xiaoling Yang, Hongmei Chen, Kay Chen Tan, Chris Cornelis
2025	J	`jnl`	SCGAN: Sampling and Clustering-Based Neural Architecture Search for GANs. IEEE Trans. Emerg. Top. Comput. Intell. Qingling Zhu, Yeming Yang, Songbai Liu, Qiuzhen Lin, Kay Chen Tan
2025	J	`jnl`	Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Zhenzhong Wang, Dejun Xu, Min Jiang, Kay Chen Tan
2025	J	`jnl`	Spatio-Temporal Decoupled Learning for Spiking Neural Networks. CoRR Chenxiang Ma, Xinyi Chen, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization. IEEE Trans. Evol. Comput. Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2025	J	`jnl`	Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles. IEEE Trans. Neural Networks Learn. Syst. Zhi-An Huang, Pengwei Hu, Lun Hu, Zhu-Hong You, Kay Chen Tan, Yu-An Huang
2025	J	`jnl`	Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet. IEEE Trans. Neural Networks Learn. Syst. Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan
2025	J	`jnl`	Traffic Signal Timing Optimization: From Evolution to Adaptation. IEEE Trans. Syst. Man Cybern. Syst. Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2025	J	`jnl`	VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks. CoRR Jian Yao, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. CoRR Yu-An Huang, Yao Hu, Yue-Chao Li, Xiyue Cao, Xinyuan Li, Kay Chen Tan, Zhu-Hong You, Zhi-An Huang
2024	J	`jnl`	A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang
2024	J	`jnl`	A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
2024	J	`jnl`	A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. IEEE Trans. Cybern. Jiaxin Chen, Jinliang Ding, Ke Li, Kay Chen Tan, Tianyou Chai
2024	J	`jnl`	A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan
2024	J	`jnl`	A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. Jianping Luo, Yongfei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin
2024	B	`conf`	A Review on Evolutionary Multiform Transfer Optimization. CEC Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan
2024	J	`jnl`	Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. CoRR Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	A*	`conf`	An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. AAAI Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang
2024	J	`jnl`	Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan
2024	—	`conf`	Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. CAI Yajie Zhang, Zhi-An Huang, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	Block-Level Knowledge Transfer for Evolutionary Multitask Optimization. IEEE Trans. Cybern. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2024	J	`jnl`	CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation". IEEE Trans. Cybern. Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen
2024	J	`jnl`	Crystalline Material Discovery in the Era of Artificial Intelligence. CoRR Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan
2024	J	`jnl`	Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. IEEE Trans. Intell. Transp. Syst. Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan
2024	J	`jnl`	Design Principle Transfer in Neural Architecture Search via Large Language Models. CoRR Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan
2024	J	`jnl`	Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR Haokai Hong, Wanyu Lin, Kay Chen Tan
2024	J	`jnl`	Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. IEEE Trans. Evol. Comput. Kailai Gao, Cuie Yang, Jinliang Ding, Kay Chen Tan, Tianyou Chai
2024	J	`jnl`	Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. IEEE Trans. Syst. Man Cybern. Syst. Qiuzhen Lin, Yulong Ye, Lijia Ma, Min Jiang, Kay Chen Tan
2024	B	`conf`	Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. IJCNN Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. IEEE Trans. Emerg. Top. Comput. Intell. Haokai Hong, Min Jiang, Qiuzhen Lin, Kay Chen Tan
2024	—	`conf`	Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. ISCSLP Ruofan Yan, Shu Peng, Zhige Chen, Zhi-An Huang, Rui Liu, Kay Chen Tan, Jibin Wu
2024	J	`jnl`	Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. IEEE Trans. Evol. Comput. Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan
2024	J	`jnl`	Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. IEEE Trans. Emerg. Top. Comput. Intell. Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Jianqiang Li, Kay Chen Tan
2024	J	`jnl`	Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. Yue Wu, Hangqi Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan
2024	B	`conf`	Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. CEC Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan
2024	J	`jnl`	Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization. IEEE Trans. Evol. Comput. Yuxiao Huang, Wei Zhou, Yu Wang, Min Li, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. CoRR Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan
2024	J	`jnl`	Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2024	J	`jnl`	Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR Haokai Hong, Wanyu Lin, Kay Chen Tan
2024	J	`jnl`	Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan
2024	A	`conf`	Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. GECCO Xin-Yu Wang, Qi-Te Yang, Yi Jiang, Kay Chen Tan, Jun Zhang, Zhi-Hui Zhan
2024	A*	`conf`	Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024	J	`jnl`	HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. CoRR Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	B	`conf`	Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. IJCNN Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan
2024	J	`jnl`	How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems. CoRR Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan
2024	J	`jnl`	LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. IEEE Trans. Cogn. Dev. Syst. Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
2024	—	`conf`	Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. ICIC (2) Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan
2024	J	`jnl`	Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. CoRR Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan
2024	A*	`conf`	Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. IJCAI Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan
2024	J	`jnl`	Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
2024	J	`jnl`	Learning to Transfer for Evolutionary Multitasking. CoRR Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan
2024	J	`jnl`	MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning. CoRR Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Jiancheng Qian, Ke Li
2024	A*	`conf`	Mixed Prototype Correction for Causal Inference in Medical Image Classification. ACM Multimedia Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024	B	`conf`	Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. CEC Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan
2024	J	`jnl`	Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. IEEE Trans. Neural Networks Learn. Syst. Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan
2024	J	`jnl`	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2024	J	`jnl`	PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. CoRR Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan
2024	B	`conf`	Personalized Federated Learning with Enhanced Implicit Generalization. IJCNN Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan
2024	J	`jnl`	Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan
2024	A*	`conf`	Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
2024	J	`jnl`	Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
2024	—	`conf`	Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization. CAI Wu Lin, Qiuzhen Lin, Xiaoming Xue, Kay Chen Tan
2024	J	`jnl`	Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. IEEE Trans. Evol. Comput. Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2024	J	`jnl`	Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. IEEE Trans. Cybern. Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
2024	J	`jnl`	Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. CoRR Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2024	A*	`conf`	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2024	J	`jnl`	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. CoRR Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan
2024	J	`jnl`	Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
2024	J	`jnl`	Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. CoRR Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Towards multi-objective high-dimensional feature selection via evolutionary multitasking. Swarm Evol. Comput. Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
2024	J	`jnl`	Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan
2024	—	`conf`	When Audio Denoising Meets Spiking Neural Network. CAI Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, Jibin Wu
2023	J	`jnl`	A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization. IEEE Trans. Evol. Comput. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
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	J	`jnl`	A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	Misc	`conf`	A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan
2023	J	`jnl`	A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. IEEE Trans. Evol. Comput. Hongyan Chen, Hai-Lin Liu, Fangqing Gu, Kay Chen Tan
2023	J	`jnl`	A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan
2023	J	`jnl`	A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2023	J	`jnl`	A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems. IEEE Trans. Cybern. Weizhong Wang, Hai-Lin Liu, Kay Chen Tan
2023	J	`jnl`	A Survey on Distributed Evolutionary Computation. CoRR Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang
2023	J	`jnl`	A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
2023	J	`jnl`	A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
2023	J	`jnl`	A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. IEEE Trans. Evol. Comput. Songbai Liu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan
2023	J	`jnl`	A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan
2023	J	`jnl`	Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan
2023	J	`jnl`	An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. IEEE Trans. Cybern. Xunfeng Wu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan, Victor C. M. Leung
2023	J	`jnl`	An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
2023	—	`conf`	BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration. CDC Junjia Liu, Hengyi Sim, Chenzui Li, Kay Chen Tan, Fei Chen
2023	J	`jnl`	Communication Efficient Federated Learning With Heterogeneous Structured Client Models. IEEE Trans. Emerg. Top. Comput. Intell. Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan
2023	J	`jnl`	Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. IEEE Trans. Cybern. Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan
2023	J	`jnl`	Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang
2023	J	`jnl`	Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2023	J	`jnl`	Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization. IEEE Trans. Cybern. Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2023	J	`jnl`	Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan
2023	J	`jnl`	Event-driven spiking neural networks with spike-based learning. Memetic Comput. Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang
2023	J	`jnl`	EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2023	J	`jnl`	Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
2023	J	`jnl`	Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans. Evol. Comput. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan
2023	J	`jnl`	Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan
2023	J	`jnl`	Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space. IEEE Trans. Syst. Man Cybern. Syst. Yuxiao Huang, Liang Feng, Min Li, Yu Wang, Zexuan Zhu, Kay Chen Tan
2023	J	`jnl`	Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan
2023	J	`jnl`	Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Trans. Neural Networks Learn. Syst. Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan
2023	J	`jnl`	Guest editorial for special issue "Emerging topics in evolutionary multiobjective optimization". Complex Intell. Syst. Cheng He, Dunwei Gong, Kay Chen Tan
2023	J	`jnl`	Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang
2023	J	`jnl`	Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
2023	J	`jnl`	LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
2023	J	`jnl`	Learning Adaptive Differential Evolution by Natural Evolution Strategies. IEEE Trans. Emerg. Top. Comput. Intell. Haotian Zhang, Jianyong Sun, Kay Chen Tan, Zongben Xu
2023	J	`jnl`	Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Kay Chen Tan
2023	J	`jnl`	Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2023	J	`jnl`	Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan
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`	Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Trans. Cybern. Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan
2023	J	`jnl`	Optimizing Niche Center for Multimodal Optimization Problems. IEEE Trans. Cybern. Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2023	J	`jnl`	Orthogonal Transfer for Multitask Optimization. IEEE Trans. Evol. Comput. Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2023	A*	`conf`	Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan
2023	A	`conf`	SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. IROS Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
2023	J	`jnl`	Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
2023	J	`jnl`	Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. IEEE Trans. Pattern Anal. Mach. Intell. Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan
2023	J	`jnl`	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
2023	J	`jnl`	Transferable Adaptive Differential Evolution for Many-Task Optimization. IEEE Trans. Cybern. Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2023	J	`jnl`	Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
2023	J	`jnl`	Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
2022	J	`jnl`	A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Songbai Liu, Qiuzhen Lin, Qing Li, Kay Chen Tan
2022	B	`conf`	A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. IJCNN Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan
2022	J	`jnl`	A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello
2022	J	`jnl`	A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022	J	`jnl`	A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. IEEE Trans. Evol. Comput. Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin
2022	J	`jnl`	A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization. IEEE Trans. Evol. Comput. Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2022	J	`jnl`	A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, Kay Chen Tan
2022	J	`jnl`	A Multiobjective Framework for Many-Objective Optimization. IEEE Trans. Cybern. Si-Chen Liu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
2022	J	`jnl`	A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics. IEEE Trans. Intell. Transp. Syst. Jian-Yu Li, Xinyi Deng, Zhi-Hui Zhan, Liang Yu, Kay Chen Tan, Kuei-Kuei Lai, Jun Zhang
2022	J	`jnl`	A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan
2022	J	`jnl`	A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. Songbai Liu, Qiuzhen Lin, Ye Tian, Kay Chen Tan
2022	J	`jnl`	A survey on evolutionary computation for complex continuous optimization. Artif. Intell. Rev. Zhi-Hui Zhan, Lin Shi, Kay Chen Tan, Jun Zhang
2022	J	`jnl`	A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass
2022	J	`jnl`	A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowl. Based Syst. Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan
2022	J	`jnl`	Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Trans. Cogn. Dev. Syst. Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022	J	`jnl`	Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. IEEE Trans. Cybern. Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao
2022	J	`jnl`	An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
2022	J	`jnl`	Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan
2022	B	`conf`	Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022	J	`jnl`	Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CoRR Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022	J	`jnl`	Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022	J	`jnl`	Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]. IEEE Comput. Intell. Mag. Yansen Su, Zhongxiang Jin, Ye Tian, Xingyi Zhang, Kay Chen Tan
2022	J	`jnl`	Concept Drift-Tolerant Transfer Learning in Dynamic Environments. IEEE Trans. Neural Networks Learn. Syst. Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan
2022	J	`jnl`	Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
2022	A*	`conf`	Crowd Counting in the Frequency Domain. CVPR Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan
2022	J	`jnl`	Differentiable Search of Accurate and Robust Architectures. CoRR Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv
2022	J	`jnl`	Evolutionary Architectural Search for Generative Adversarial Networks. IEEE Trans. Emerg. Top. Comput. Intell. Qiuzhen Lin, Zhixiong Fang, Yi Chen, Kay Chen Tan, Yun Li
2022	J	`jnl`	Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin
2022	B	`conf`	Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. CEC Songbai Liu, Min Jiang, Qiuzhen Lin, Kay Chen Tan
2022	J	`jnl`	Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu
2022	J	`jnl`	Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. IEEE Trans. Evol. Comput. Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-ming Cheung, Linqi Song, Kay Chen Tan
2022	J	`jnl`	Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022	J	`jnl`	Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, Tianyou Chai
2022	J	`jnl`	Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. IEEE Trans. Cybern. Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan
2022	J	`jnl`	Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
2022	J	`jnl`	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2022	J	`jnl`	Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
2022	J	`jnl`	Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Jianqiang Li, Tao Sun, Qiuzhen Lin, Min Jiang, Kay Chen Tan
2022	J	`jnl`	Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. IEEE Trans. Cybern. Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan
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	J	`jnl`	Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Comput. Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
2022	J	`jnl`	Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
2022	J	`jnl`	Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan
2022	J	`jnl`	Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2022	J	`jnl`	Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan
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`	Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. IEEE Trans. Evol. Comput. Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li
2022	J	`jnl`	Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan
2022	J	`jnl`	Weighted Gate Layer Autoencoders. IEEE Trans. Cybern. Heba El-Fiqi, Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass
2022	J	`jnl`	ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. Chunjiang Zhang, A. K. Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li
2021	J	`jnl`	A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. IEEE Trans. Cybern. Xinye Cai, Wenxue Sun, Mustafa Misir, Kay Chen Tan, Xiaoping Li, Tao Xu, Zhun Fan
2021	J	`jnl`	A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning. IEEE Trans. Cybern. Min Jiang, Zhenzhong Wang, Liming Qiu, Shihui Guo, Xing Gao, Kay Chen Tan
2021	J	`jnl`	A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Trans. Evol. Comput. Su Nguyen, Dhananjay Raghavan Thiruvady, Mengjie Zhang, Kay Chen Tan
2021	J	`jnl`	A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin
2021	B	`conf`	A Survey of Advances in Evolutionary Neural Architecture Search. CEC Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan
2021	J	`jnl`	A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. Xun Zhou, A. K. Qin, Maoguo Gong, Kay Chen Tan
2021	J	`jnl`	A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. Memetic Comput. Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Qingda Chen
2021	J	`jnl`	An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization. IEEE Trans. Cybern. Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu
2021	J	`jnl`	Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization. CoRR Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Qing Li
2021	B	`conf`	EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. CEC Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong
2021	J	`jnl`	Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
2021	J	`jnl`	Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research. IEEE Comput. Intell. Mag. Kay Chen Tan, Liang Feng, Min Jiang
2021	J	`jnl`	Evolutionary multi and many-objective optimization via clustering for environmental selection. Inf. Sci. Songbai Liu, Junhao Zheng, Qiuzhen Lin, Kay Chen Tan
2021	J	`jnl`	Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. Maoguo Gong, Jia Liu, A. K. Qin, Kun Zhao, Kay Chen Tan
2021	J	`jnl`	Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
2021	J	`jnl`	Forecasting Wind Speed Time Series Via Dendritic Neural Regression. IEEE Comput. Intell. Mag. Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan
2021	J	`jnl`	HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan
2021	J	`jnl`	Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations. IEEE Trans. Geosci. Remote. Sens. Lyuyang Tong, Bo Du, Rong Liu, Liangpei Zhang, Kay Chen Tan
2021	J	`jnl`	IEEE CIS VP-Publications Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. Kay Chen Tan
2021	J	`jnl`	Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Qi Wu, Kay Chen Tan
2021	J	`jnl`	Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network. IEEE Trans. Neural Networks Learn. Syst. Zhi-An Huang, Zexuan Zhu, Chuen Heung Yau, Kay Chen Tan
2021	J	`jnl`	Individual-Based Transfer Learning for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. Min Jiang, Zhenzhong Wang, Shihui Guo, Xing Gao, Kay Chen Tan
2021	J	`jnl`	Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. CoRR Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
2021	J	`jnl`	Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan
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`	Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan
2021	J	`jnl`	On the channel density of EEG signals for reliable biometric recognition. Pattern Recognit. Lett. Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass
2021	J	`jnl`	Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2021	J	`jnl`	People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Trans. Cybern. Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan
2021	J	`jnl`	Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. CoRR Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin
2021	J	`jnl`	Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2021	J	`jnl`	Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin
2021	C	`conf`	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. EMO Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
2021	J	`jnl`	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. CoRR Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
2021	J	`jnl`	Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Trans. Cybern. Ye Tian, Chang Lu, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2021	J	`jnl`	Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan
2021	J	`jnl`	Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. IEEE Trans. Cybern. Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen
2021	J	`jnl`	[Guest Editorial]. IEEE Comput. Intell. Mag. Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin
2020	J	`jnl`	A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. Rethnaraj Rambabu, Prahlad Vadakkepat, Kay Chen Tan, Min Jiang
2020	J	`jnl`	A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. IEEE Trans. Artif. Intell. Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin
2020	J	`jnl`	A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. IEEE Trans. Cybern. Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan
2020	J	`jnl`	A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Neural Networks Learn. Syst. Yiqun Zhang, Yiu-ming Cheung, Kay Chen Tan
2020	J	`jnl`	An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. Inf. Sci. Songbai Liu, Qiyuan Yu, Qiuzhen Lin, Kay Chen Tan
2020	A*	`conf`	BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. ASE Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan
2020	J	`jnl`	BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. CoRR Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan
2020	J	`jnl`	Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. Jia Liu, Maoguo Gong, A. K. Qin, Kay Chen Tan
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`	Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Comput. Zizhao Zhang, Weng Kee Wong, Kay Chen Tan
2020	J	`jnl`	Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]. IEEE Comput. Intell. Mag. Mengjie Zhang, Kay Chen Tan
2020	J	`jnl`	Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. CoRR Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
2020	J	`jnl`	Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains. CoRR Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan
2020	J	`jnl`	Fast hypervolume approximation scheme based on a segmentation strategy. Inf. Sci. Weisen Tang, Hai-Lin Liu, Lei Chen, Kay Chen Tan, Yiu-ming Cheung
2020	B	`conf`	Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. CEC Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan
2020	B	`conf`	Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. CEC Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan
2020	B	`conf`	Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. IJCNN Zhi-An Huang, Rui Liu, Kay Chen Tan
2020	A*	`conf`	Multi-label Feature Selection via Global Relevance and Redundancy Optimization. IJCAI Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan
2020	J	`jnl`	Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions. IEEE Trans. Cybern. Yiu-ming Cheung, Fangqing Gu, Hai-Lin Liu, Kay Chen Tan, Han Huang
2020	J	`jnl`	Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
2020	B	`conf`	Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. CEC Xuezhou Fan, Ke Li, Kay Chen Tan
2020	J	`jnl`	Synaptic Learning with Augmented Spikes. CoRR Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
2020	J	`jnl`	Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2020	J	`jnl`	Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
2020	A*	`conf`	Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
2019	J	`jnl`	A Cost-Sensitive Deep Belief Network for Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong
2019	J	`jnl`	A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
2019	B	`conf`	A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. CEC Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu
2019	J	`jnl`	An Evolutionary Constraint-Handling Technique for Parametric Optimization of a Cancer Immunotherapy Model. IEEE Trans. Emerg. Top. Comput. Intell. Weinan Xu, Jianxin Xu, Danhua He, Kay Chen Tan
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	J	`jnl`	Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan
2019	J	`jnl`	Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan
2019	J	`jnl`	Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning. CoRR Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan
2019	—	`conf`	Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning. SSCI Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan
2019	J	`jnl`	Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship. IEEE Trans. Cybern. Lei Chen, Hai-Lin Liu, Kay Chen Tan, Yiu-ming Cheung, Yuping Wang
2019	J	`jnl`	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
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`	Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution. IEEE Access Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jianxin Xu
2019	B	`conf`	Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. IJCNN Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass
2019	J	`jnl`	Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Trans. Cybern. Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan
2019	—	`conf`	Online Bagging for Anytime Transfer Learning. SSCI Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan
2019	J	`jnl`	Online Bagging for Anytime Transfer Learning. CoRR Guokun Chi, Min Jiang, Xing Gao, Weizhen Hu, Shihui Guo, Kay Chen Tan
2019	J	`jnl`	QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. Xinle Liang, A. K. Qin, Ke Tang, Kay Chen Tan
2019	J	`jnl`	Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2019	B	`conf`	Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CEC Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung
2019	J	`jnl`	Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CoRR Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung
2019	J	`jnl`	Solving dynamic multi-objective optimization problems via support vector machine. CoRR Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan
2019	J	`jnl`	Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity. IEEE Trans. Cybern. Qiang Yu, Haizhou Li, Kay Chen Tan
2019	B	`conf`	Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CEC Ke Li, Zilin Xiang, Kay Chen Tan
2019	J	`jnl`	Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. CoRR Ke Li, Zilin Xiang, Kay Chen Tan
2018	J	`jnl`	A Cost-Sensitive Deep Belief Network for Imbalanced Classification. CoRR Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong
2018	J	`jnl`	A Generic Deep-Learning-Based Approach for Automated Surface Inspection. IEEE Trans. Cybern. Ruoxu Ren, Terence Hung, Kay Chen Tan
2018	J	`jnl`	A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. CoRR Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan
2018	J	`jnl`	A New Differential Evolution Algorithm for Minimax Optimization in Robust Design. IEEE Trans. Cybern. Xin Qiu, Jian-Xin Xu, Ying hao Xu, Kay Chen Tan
2018	J	`jnl`	A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. Pin Lim, Chi Keong Goh, Kay Chen Tan
2018	A	`conf`	Adaptive charting genetic programming for dynamic flexible job shop scheduling. GECCO Su Nguyen, Mengjie Zhang, Kay Chen Tan
2018	J	`jnl`	Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts. Soft Comput. Chunjiang Zhang, Kay Chen Tan, Loo Hay Lee, Liang Gao
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`	Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework. Unmanned Syst. Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan
2018	—	`conf`	Solving dynamic multi-objective optimization problems via support vector machine. ICACI Min Jiang, Weizhen Hu, Liming Qiu, Minghui Shi, Kay Chen Tan
2018	J	`jnl`	Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan
2018	J	`jnl`	Special Issue of BICS 2016. Cogn. Comput. Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
2018	J	`jnl`	Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. IEEE Comput. Intell. Mag. Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan
2017	J	`jnl`	A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Sen Bong Gee, Kay Chen Tan, Hussein A. Abbass
2017	—	`conf`	A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model. SSCI Weinan Xu, Jianxin Xu, Danhua He, Kay Chen Tan
2017	C	`conf`	A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. ETFA Chong Zhang, Geok Soon Hong, Huan Xu, Kay Chen Tan, Jun-Hong Zhou, Hian-Leng Chan, Haizhou Li
2017	J	`jnl`	An Intelligent Packing Programming for Space Station Extravehicular Missions. IEEE Comput. Intell. Mag. Yue-he Zhu, Yazhong Luo, Kay Chen Tan, Xin Qui
2017	J	`jnl`	Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components. IEEE Trans. Emerg. Top. Comput. Intell. Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Chuanchu Wang, Cuntai Guan
2017	J	`jnl`	Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph. IEEE Trans. Emerg. Top. Comput. Intell. Ruoxu Ren, Terence Hung, Kay Chen Tan
2017	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin
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`	Conference Report on 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) [Conference Reports]. IEEE Comput. Intell. Mag. Kay Chen Tan, Gary G. Yen
2017	—	`conf`	Decomposition based dominance relationship for evolutionary many-objective algorithm. SSCI Lei Chen, Hai-Lin Liu, Kay Chen Tan
2017	J	`jnl`	Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. Pin Lim, Chi Keong Goh, Kay Chen Tan
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`	Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta
2017	J	`jnl`	Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. IEEE Trans. Neural Networks Learn. Syst. Chong Zhang, Pin Lim, A. K. Qin, Kay Chen Tan
2017	J	`jnl`	Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan
2017	J	`jnl`	Multiple Exponential Recombination for Differential Evolution. IEEE Trans. Cybern. Xin Qiu, Kay Chen Tan, Jian-Xin Xu
2017	—	`book`	Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan
2017	—	`conf`	On the analysis and evaluation of prosody conversion techniques. IALP Berrak Sisman, Grandee Lee, Haizhou Li, Kay Chen Tan
2017	—	`ed.`	Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings SEAL Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
2017	J	`jnl`	Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. IEEE Trans. Cybern. Sen Bong Gee, Kay Chen Tan, Cesare Alippi
2017	C	`conf`	Sparse representation of phonetic features for voice conversion with and without parallel data. ASRU Berrak Sisman, Haizhou Li, Kay Chen Tan
2017	J	`jnl`	Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Trans. Cybern. Su Nguyen, Mengjie Zhang, Kay Chen Tan
2017	—	`conf`	Transformation of prosody in voice conversion. APSIPA Berrak Sisman, Haizhou Li, Kay Chen Tan
2017	—	`conf`	Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. CDC Cuie Yang, Jinliang Ding, Kay Chen Tan, Yaochu Jin
2016	—	`conf`	A Spiking Neural Network Model for Sound Recognition. ICCSIP Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan
2016	J	`jnl`	A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li
2016	B	`conf`	A novel grid-based differential evolution (DE) algorithm for many-objective optimization. CEC Jin Kiat Chong, Kay Chen Tan
2016	B	`conf`	A time window neural network based framework for Remaining Useful Life estimation. IJCNN Pin Lim, Chi Keong Goh, Kay Chen Tan
2016	J	`jnl`	Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization. IEEE Trans. Evol. Comput. Xin Qiu, Jian-Xin Xu, Kay Chen Tan, Hussein A. Abbass
2016	—	`ed.`	Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings BICS Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
2016	J	`jnl`	CIS Publication Spotlight Publication Spotlight. IEEE Comput. Intell. Mag. Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi
2016	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin
2016	J	`jnl`	Computational Intelligence for Brain Computer Interface [Guest Editorial]. IEEE Comput. Intell. Mag. Hussein A. Abbass, Cuntai Guan, Kay Chen Tan
2016	J	`jnl`	Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands. Soft Comput. Sen Bong Gee, Willson Amalraj Arokiasami, Jing Jiang, Kay Chen Tan
2016	J	`jnl`	Decompositional independent component analysis using multi-objective optimization. Soft Comput. Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun
2016	B	`conf`	Deep inverse regression with modified document probability for text classification. IJCNN Ruoxu Ren, Li Ma, Kay Chen Tan
2016	B	`conf`	Enhancing exploration in differential evolution via exponential recombination. CEC Xin Qiu, Jian-Xin Xu, Kay Chen Tan
2016	J	`jnl`	Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction. IEEE Trans. Cybern. Arrchana Muruganantham, Kay Chen Tan, Prahlad Vadakkepat
2016	J	`jnl`	How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier. IEEE Comput. Intell. Mag. Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li
2016	B	`conf`	Maximising total weighted number of activities for reservation with slack. CEC Su Nguyen, Mengjie Zhang, Kay Chen Tan
2016	B	`conf`	Multiway analysis of EEG artifacts based on Block Term Decomposition. IJCNN Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang
2016	B	`conf`	Optimization of workload level estimation using selection of EEG channel connectivity. CEC Kevin Ardian, Fumihiko Taya, Yu Sun, Anastasios Bezerianos, Kay Chen Tan
2016	B	`conf`	Training cost-sensitive Deep Belief Networks on imbalance data problems. IJCNN Chong Zhang, Kay Chen Tan, Ruoxu Ren
2016	B	`conf`	Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles. CEC Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan
2015	A	`conf`	A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. GECCO Su Nguyen, Mengjie Zhang, Kay Chen Tan
2015	A	`conf`	A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. GECCO Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan
2015	J	`jnl`	A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment. Soft Comput. Fangqing Gu, Hai-Lin Liu, Kay Chen Tan
2015	J	`jnl`	Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Vui Ann Shim, Kay Chen Tan, Huajin Tang
2015	J	`jnl`	Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Trans. Cybern. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2015	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi
2015	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi
2015	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Derong Liu, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Angelo Cangelosi
2015	B	`conf`	Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis. SMC Chong Zhang, Jia Hui Sun, Kay Chen Tan
2015	B	`conf`	Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. CEC Su Nguyen, Mengjie Zhang, Kay Chen Tan
2015	B	`conf`	Evolutionary Big Optimization (BigOpt) of Signals. CEC Sim Kuan Goh, Kay Chen Tan, Abdullah Al Mamun, Hussein A. Abbass
2015	—	`conf`	Evolutionary multi-objective optimization in engineering and prognostic applications. TAAI Kay Chen Tan
2015	J	`jnl`	Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. IEEE Trans. Evol. Comput. Sen Bong Gee, Kay Chen Tan, Vui Ann Shim, Nikhil R. Pal
2015	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Arrchana Muruganantham, Kay Chen Tan, Prahlad Vadakkepat
2014	—	`conf`	A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. SEAL Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan
2014	J	`jnl`	A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu
2014	B	`conf`	A new learning rule for classification of spatiotemporal spike patterns. IJCNN Qiang Yu, Huajin Tang, Kay Chen Tan
2014	B	`conf`	A novel Differential Evolution (DE) algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Xin Qiu, Jian-Xin Xu, Kay Chen Tan
2014	—	`conf`	Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. ICONIP (1) Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun
2014	J	`jnl`	Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Trans. Evol. Comput. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014	B	`conf`	Diversity preservation with hybrid recombination for evolutionary multiobjective optimization. IEEE Congress on Evolutionary Computation Sen Bong Gee, Kay Chen Tan
2014	J	`jnl`	Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. Evol. Comput. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014	J	`jnl`	Learning believable game agents using sensor noise and action histogram. Memetic Comput. Chin Hiong Tan, Kay Chen Tan, Vui Ann Shim
2014	—	`conf`	Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. SEAL Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014	—	`ed.`	Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings SEAL Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
2013	J	`jnl`	A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Trans. Evol. Comput. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013	C	`conf`	A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. IDEAL Sen Bong Gee, Xin Qiu, Kay Chen Tan
2013	J	`jnl`	A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi
2013	B	`conf`	A hierarchical organized memory model using spiking neurons. IJCNN Jun Hu, Huajin Tang, Kay Chen Tan
2013	—	`conf`	A neuro-cognitive system and its application in robotics. ICCA Huajin Tang, Bo Tian, Vui Ann Shim, Kay Chen Tan
2013	J	`jnl`	An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine. IEEE Trans. Evol. Comput. Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong
2013	J	`jnl`	Auld Lang Syne [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2013	—	`ch.`	Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. Automated Scheduling and Planning Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013	J	`jnl`	Dynamic index tracking via multi-objective evolutionary algorithm. Appl. Soft Comput. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
2013	J	`jnl`	Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm. Inf. Sci. Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong, Jun Yong Chia
2013	J	`jnl`	Hybrid evolutionary computation methods for quay crane scheduling problems. Comput. Oper. Res. Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013	J	`jnl`	It's Just "Emotions" Has Taken Over? [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2013	B	`conf`	Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. EuroGP Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013	C	`conf`	Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. IDEAL Yung Siang Liau, Kay Chen Tan, Jun Hu, Xin Qiu, Sen Bong Gee
2013	J	`jnl`	Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment. Evol. Comput. Vui Ann Shim, Kay Chen Tan, Jun Yong Chia, Abdullah Al Mamun
2013	J	`jnl`	Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection. IEEE Trans. Evol. Comput. Aniruddha Basak, Swagatam Das, Kay Chen Tan
2013	J	`jnl`	Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Huajin Tang, Kay Chen Tan, Haizhou Li
2013	—	`conf`	Spiking-timing based pattern recognition with real-world visual stimuli. CCMB Jun Hu, Huajin Tang, Kay Chen Tan
2013	J	`jnl`	The "vision" of tomorrow! [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2013	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers PAKDD Workshops Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng
2012	J	`jnl`	A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem. IEEE Trans. Syst. Man Cybern. Part C Vui Ann Shim, Kay Chen Tan, Chun Yew Cheong
2012	B	`conf`	A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. IEEE Congress on Evolutionary Computation Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012	J	`jnl`	A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan
2012	B	`conf`	A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization. IEEE Congress on Evolutionary Computation Vui Ann Shim, Kay Chen Tan, Kok Kiong Tan
2012	B	`conf`	A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. IEEE Congress on Evolutionary Computation Vui Ann Shim, Kay Chen Tan, Kok Kiong Tan
2012	Misc	`conf`	Advances in Evolutionary Multi-objective Optimization. SOFA Kay Chen Tan
2012	—	`conf`	Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. SEAL Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012	J	`jnl`	CI at Work! [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2012	J	`jnl`	Empowering Semantic Web with Computational Intelligence [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2012	B	`conf`	Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. EuroGP Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012	B	`conf`	Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN Huajin Tang, Qiang Yu, Kay Chen Tan
2012	B	`conf`	Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN Qiang Yu, Kay Chen Tan, Huajin Tang
2012	—	`conf`	Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization. WCCI Vui Ann Shim, Kay Chen Tan
2012	J	`jnl`	Propelling Bioinformatics a Notch Higher [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2012	J	`jnl`	Type-2 Fuzzy Logic - Plodding on Steadily and Staying Relevant [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2011	J	`jnl`	'Tis the Season to be Healthy! IEEE Comput. Intell. Mag. Kay Chen Tan
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`	An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization CoRR Eik Fun Khor, Tong Heng Lee, Ramasubramanian Sathikannan, Kay Chen Tan
2011	J	`jnl`	Dynamic Game Difficulty Scaling Using Adaptive Behavior-Based AI. IEEE Trans. Comput. Intell. AI Games Chin Hiong Tan, Kay Chen Tan, Arthur Tay
2011	J	`jnl`	Goodbye James Bond, Hello Games Bond! [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2011	J	`jnl`	Guest Editorial. IEEE Trans. Evol. Comput. Yew-Soon Ong, Kay Chen Tan
2011	J	`jnl`	Memetic informed evolutionary optimization via data mining. Memetic Comput. Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim
2011	J	`jnl`	Nothing's Too Small to Have an Impact [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2011	J	`jnl`	Welcoming the Year of the Rabbit! [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2010	J	`jnl`	A Gathering of Intelligent Agents [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2010	J	`jnl`	A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam
2010	J	`jnl`	A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. Wee Tat Koo, Chi Keong Goh, Kay Chen Tan
2010	—	`ed.`	Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I ICSI (1) Ying Tan, Yuhui Shi, Kay Chen Tan
2010	—	`ed.`	Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II ICSI (2) Ying Tan, Yuhui Shi, Kay Chen Tan
2010	J	`jnl`	An evolutionary memetic algorithm for rule extraction. Expert Syst. Appl. Ji Hua Ang, Kay Chen Tan, Abdullah Al Mamun
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	B	`conf`	An investigation on sampling technique for multi-objective restricted Boltzmann machine. IEEE Congress on Evolutionary Computation Vui Ann Shim, Kay Chen Tan, Jun Yong Chia
2010	—	`conf`	CPSCom 2010 Keynote Speech: Kay Chen Tan. GreenCom/CPSCom Kay Chen Tan
2010	J	`jnl`	Computationally efficient behaviour based controller for real time car racing simulation. Expert Syst. Appl. Chin Hiong Tan, Kay Chen Tan, Arthur Tay
2010	J	`jnl`	Correction. IEEE Comput. Intell. Mag. Kay Chen Tan
2010	J	`jnl`	Exploiting molecular dynamics for multi-objective optimization. Expert Syst. Appl. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
2010	J	`jnl`	Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Comput. Ke Tang, Kay Chen Tan, Hisao Ishibuchi
2010	J	`jnl`	Multi-objective and prioritized berth allocation in container ports. Ann. Oper. Res. Chun Yew Cheong, Kay Chen Tan, Dikai Liu, C. J. Lin
2010	J	`jnl`	New year, New Challenges [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2010	J	`jnl`	Not Just a "Meme" to an End [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2010	J	`jnl`	Preface for the special volume on Computational Intelligence in Scheduling. Ann. Oper. Res. Graham Kendall, Kay Chen Tan, Edmund K. Burke, Stephen F. Smith
2010	—	`conf`	Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. SEAL Vui Ann Shim, Kay Chen Tan, Jun Yong Chia
2010	B	`conf`	Restricted Boltzmann machine based algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia
2010	—	`ed.`	Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings SEAL Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan
2010	J	`jnl`	The Nuts and "Bots" of Our Future [Editor's Remarks]. IEEE Comput. Intell. Mag. Kay Chen Tan
2009	J	`jnl`	A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Chi Keong Goh, Kay Chen Tan
2009	J	`jnl`	A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. Kay Chen Tan, Eu Jin Teoh, Qiang Yu, K. C. Goh
2009	J	`jnl`	A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
2009	J	`jnl`	A memetic model of evolutionary PSO for computational finance applications. Expert Syst. Appl. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
2009	J	`jnl`	A multi-objective evolutionary algorithm for examination timetabling. J. Sched. Chun Yew Cheong, Kay Chen Tan, Bharadwaj Veeravalli
2009	—	`conf`	Adaptive game AI for Gomoku. ICARA Kuan Liang Tan, Chin Hiong Tan, Kay Chen Tan, Arthur Tay
2009	J	`jnl`	Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. IEEE Trans. Neural Networks Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang
2009	J	`jnl`	Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh
2009	J	`jnl`	Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass
2009	J	`jnl`	Evolutionary Game Theoretic Approach for Modeling Civil Violence. IEEE Trans. Evol. Comput. Hanyang Quek, Kay Chen Tan, Hussein A. Abbass
2009	—	`book`	Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms Chi Keong Goh, Kay Chen Tan
2009	J	`jnl`	Evolving Nash-optimal poker strategies using evolutionary computation. Frontiers Comput. Sci. China Hanyang Quek, Chunghoong Woo, Kay Chen Tan, Arthur Tay
2009	—	`ch.`	Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand. Bio-inspired Algorithms for the Vehicle Routing Problem Chun Yew Cheong, Kay Chen Tan
2009	J	`jnl`	Investigating technical trading strategy via an multi-objective evolutionary platform. Expert Syst. Appl. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
2009	J	`jnl`	Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. IEEE Trans. Neural Networks Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang
2009	J	`jnl`	Public Goods Provision: An Evolutionary Game Theoretic Study Under Asymmetric Information. IEEE Trans. Comput. Intell. AI Games Hanyang Quek, Kay Chen Tan, Arthur Tay
2009	—	`conf`	Solving the berth allocation problem with service priority via multi-objective optimization. CISched Chun Yew Cheong, Kay Chen Tan, Dikai Liu
2008	—	`ch.`	A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem. Advances of Computational Intelligence in Industrial Systems Chun Yew Cheong, Kay Chen Tan
2008	B	`conf`	A memetic evolutionary search algorithm with variable length chromosome for rule extraction. SMC Ji Hua Brian Ang, Kay Chen Tan, Abdullah Al Mamun
2008	J	`jnl`	An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh
2008	J	`jnl`	An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei
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`	Dimension reduction using evolutionary Support Vector Machines. IEEE Congress on Evolutionary Computation Ji Hua Ang, Eu Jin Teoh, C. H. Tan, K. C. Goh, Kay Chen Tan
2008	J	`jnl`	Evolutionary multi-objective portfolio optimization in practical context. Int. J. Autom. Comput. Swee Chiang Chiam, Kay Chen Tan, A. Al Mamum
2008	—	`conf`	Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI Kay Chen Tan, Chi Keong Goh
2008	J	`jnl`	Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
2008	J	`jnl`	Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun
2008	J	`jnl`	Interference-less neural network training. Neurocomputing Ji Hua Ang, Sheng-Uei Guan, Kay Chen Tan, Abdullah Al Mamun
2008	J	`jnl`	On solving multiobjective bin packing problems using evolutionary particle swarm optimization. Eur. J. Oper. Res. D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho
2008	B	`conf`	Online adaptive controller for simulated car racing. IEEE Congress on Evolutionary Computation Chin Hiong Tan, Ji Hua Ang, Kay Chen Tan, Arthur Tay
2008	—	`ed.`	Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings SEAL Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi
2008	J	`jnl`	Training neural networks for classification using growth probability-based evolution. Neurocomputing Ji Hua Ang, Kay Chen Tan, Abdullah Al Mamun
2007	—	`conf`	A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC Chi Keong Goh, Kay Chen Tan, Arthur Tay
2007	—	`ch.`	A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. Evolutionary Scheduling Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan
2007	J	`jnl`	A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho
2007	B	`conf`	A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay
2007	B	`conf`	A distributed co-evolutionary particle swarm optimization algorithm. IEEE Congress on Evolutionary Computation D. S. Liu, Kay Chen Tan, Weng Khuen Ho
2007	B	`conf`	A multi-objective evolutionary algorithm for berth allocation in a container port. IEEE Congress on Evolutionary Computation Chun Yew Cheong, C. J. Lin, Kay Chen Tan, Dikai Liu
2007	C	`conf`	Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan
2007	J	`jnl`	An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Chi Keong Goh, Kay Chen Tan
2007	—	`ch.`	Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
2007	—	`conf`	Discovering Chinese Chess Strategies through Coevolutionary Approaches. CIG Chin Soon Ong, Hanyang Quek, Kay Chen Tan, Arthur Tay
2007	B	`conf`	Efficient particle swarm optimization: a termination condition based on the decision-making approach. IEEE Congress on Evolutionary Computation Ngai Ming Kwok, Quang Phuc Ha, Dikai Liu, Gu Fang, Kay Chen Tan
2007	—	`book`	Evolutionary Scheduling Keshav P. Dahal, Kay Chen Tan, Peter I. Cowling
2007	J	`jnl`	Evolutionary and meta-heuristic scheduling. Eur. J. Oper. Res. Kay Chen Tan, Edmund K. Burke, Tong Heng Lee
2007	J	`jnl`	Evolutionary design and implementation of a hard disk drive servo control system. Soft Comput. Kay Chen Tan, Ramasubramanian Sathikannan, Woei Wan Tan, A. P. Loh
2007	—	`ch.`	Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments Chi Keong Goh, Kay Chen Tan
2007	C	`conf`	Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). EMO Kay Chen Tan
2007	C	`conf`	Molecular Dynamics Optimizer. EMO Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
2007	C	`conf`	Multiobjective Evolutionary Neural Networks for Time Series Forecasting. EMO Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
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	B	`conf`	Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. IEEE Congress on Evolutionary Computation Lingfeng Wang, Chanan Singh, Kay Chen Tan
2007	J	`jnl`	Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh
2007	—	`conf`	Solving the Exam Timetabling Problem via a Multi-Objective Evolutionary Algorithm - A More General Approach. CISched Chun Yew Cheong, Kay Chen Tan, Bharadwaj Veeravalli
2006	B	`conf`	A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN Eu Jin Teoh, Huajin Tang, Kay Chen Tan
2006	J	`jnl`	A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Comput. Optim. Appl. Kay Chen Tan, Qiang Yu, Ji Hua Ang
2006	—	`conf`	A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. ISNN (1) Eu Jin Teoh, Cheng Xiang, Kay Chen Tan
2006	J	`jnl`	A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows. Comput. Optim. Appl. Kay Chen Tan, Yoong Han Chew, Loo Hay Lee
2006	B	`conf`	A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand. IEEE Congress on Evolutionary Computation Chun Yew Cheong, Kay Chen Tan, Dikai Liu, Jian-Xin Xu
2006	J	`jnl`	A coevolutionary algorithm for rules discovery in data mining. Int. J. Syst. Sci. Kay Chen Tan, Qiang Yu, Ji Hua Ang
2006	J	`jnl`	A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. Kay Chen Tan, Y. J. Yang, Chi Keong Goh
2006	J	`jnl`	A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems. Eur. J. Oper. Res. Kay Chen Tan, Yoong Han Chew, Loo Hay Lee
2006	B	`conf`	An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization. IEEE Congress on Evolutionary Computation Ngai Ming Kwok, Dikai Liu, Kay Chen Tan, Quang Phuc Ha
2006	J	`jnl`	An automated methodology for the tracking of electrical performance for memory test systems. IEEE Trans. Instrum. Meas. Abdullah Al Mamun, L. F. Wang, Kay Chen Tan, H. M. Heng, P. C. Ho
2006	J	`jnl`	Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Trans. Neural Networks Huajin Tang, Kay Chen Tan, Eu Jin Teoh
2006	—	`conf`	Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. ISNN (1) Eu Jin Teoh, Cheng Xiang, Kay Chen Tan
2006	J	`jnl`	Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. IEEE Trans. Neural Networks Eu Jin Teoh, Kay Chen Tan, Cheng Xiang
2006	—	`book`	Evolutionary Robotics: From Algorithms to Implementations Lingfeng Wang, Kay Chen Tan, Chee-Meng Chew
2006	J	`jnl`	Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee
2006	B	`conf`	Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass
2006	B	`conf`	Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation Chi Keong Goh, Kay Chen Tan
2006	B	`conf`	On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho
2005	J	`jnl`	A P2P genetic algorithm environment for the internet. Commun. ACM Kay Chen Tan, Mingliang Wang, Wei Peng
2005	J	`jnl`	A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh
2005	J	`jnl`	A distributed evolutionary classifier for knowledge discovery in data mining. IEEE Trans. Syst. Man Cybern. Part C Kay Chen Tan, Qiang Yu, Tong Heng Lee
2005	J	`jnl`	A flexible automatic test system for rotating-turbine machinery. IEEE Trans Autom. Sci. Eng. Lingfeng Wang, Kay Chen Tan, X. D. Jiang, Y. B. Chen
2005	B	`conf`	Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan
2005	J	`jnl`	Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. Neural Comput. Huajin Tang, Kay Chen Tan, Weinian Zhang
2005	J	`jnl`	Digital processing of dual-frequency servo burst in hard disk drives. IEEE Trans. Instrum. Meas. Abdullah Al Mamun, Guoxiao Guo, Kay Chen Tan, Yimei Liu
2005	B	`conf`	Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan
2005	J	`jnl`	Intelligent Sensor Fusion And Learning For Autonomous Robot Navigation. Appl. Artif. Intell. Kay Chen Tan, Y. J. Chen, L. F. Wang, Dikai Liu
2005	J	`jnl`	Modeling and control of a pilot pH plant using genetic algorithm. Eng. Appl. Artif. Intell. Woei Wan Tan, Fengwei Lu, Ai Poh Loh, Kay Chen Tan
2005	—	`book`	Multiobjective Evolutionary Algorithms and Applications. Kay Chen Tan, Eik Fun Khor, Tong Heng Lee
2005	J	`jnl`	On parameter settings of Hopfield networks applied to traveling salesman problems. IEEE Trans. Circuits Syst. I Regul. Pap. Kay Chen Tan, Huajin Tang, Shuzhi Sam Ge
2005	J	`jnl`	Qualitative analysis for recurrent neural networks with linear threshold transfer functions. IEEE Trans. Circuits Syst. I Regul. Pap. Kay Chen Tan, Huajin Tang, Weinian Zhang
2005	J	`jnl`	Task-oriented developmental learning for humanoid robots. IEEE Trans. Ind. Electron. Kay Chen Tan, Y. J. Chen, Kok Kiong Tan, Tong Heng Lee
2005	J	`jnl`	Using the OPC Standard for Real-Time Process Monitoring and Control. IEEE Softw. Jun Liu, Khiang Wee Lim, Weng Khuen Ho, Kay Chen Tan, Arthur Tay, Rajagopalan Srinivasan
2004	J	`jnl`	A columnar competitive model for solving combinatorial optimization problems. IEEE Trans. Neural Networks Huajin Tang, Kay Chen Tan, Zhang Yi
2004	—	`conf`	A cooperative coevolutionary algorithm for multiobjective optimization. SMC (2) Kay Chen Tan, Tong Heng Lee, Y. J. Yang, D. S. Liu
2004	J	`jnl`	Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms. Genet. Program. Evolvable Mach. Kay Chen Tan
2004	J	`jnl`	CAutoCSD-evolutionary search and optimisation enabled computer automated control system design. Int. J. Autom. Comput. Yun Li, Kiam Heong Ang, Gregory Chow Ye Chong, Wenyuan Feng, Kay Chen Tan, Hiroshi Kashiwagi
2004	B	`conf`	Dynamical optimal learning for FNN and its applications. FUZZ-IEEE Huajin Tang, Kay Chen Tan, Tong Heng Lee
2004	J	`jnl`	Evolvable Hardware in Evolutionary Robotics. Auton. Robots Kay Chen Tan, L. F. Wang, Tong Heng Lee, Prahlad Vadakkepat
2004	J	`jnl`	Fault-tolerant vibration control in a networked and embedded rocket fairing system. IEEE Trans. Ind. Electron. Lingfeng Wang, Bin Huang, Kay Chen Tan
2004	J	`jnl`	Fpga-Based Autonomous Robot Navigation Via Intrinsic Evolution. Appl. Artif. Intell. Kay Chen Tan, L. F. Wang, Tong Heng Lee
2004	J	`jnl`	Global exponential stability of discrete-time neural networks for constrained quadratic optimization. Neurocomputing Kay Chen Tan, Huajin Tang, Z. Yi
2004	J	`jnl`	New dynamical optimal learning for linear multilayer FNN. IEEE Trans. Neural Networks Kay Chen Tan, Huajin Tang
2004	—	`ed.`	Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 2002, 18-22 November 2002, Singapore]. SEAL Kay Chen Tan, Meng-Hiot Lim, Xin Yao, Lipo Wang
2003	J	`jnl`	A Tabu-Based Exploratory Evolutionary Algorithm for Multiobjective Optimization. Artif. Intell. Rev. Kay Chen Tan, Eik Fun Khor, Tong Heng Lee, Y. J. Yang
2003	B	`conf`	A cooperative coevolutionary algorithm for multiobjective optimization. SMC Kay Chen Tan, Yong Han Chew, Tong Heng Lee, Y. J. Yang
2003	B	`conf`	A distributed cooperative coevolutionary algorithm for multiobjective optimization. IEEE Congress on Evolutionary Computation Kay Chen Tan, Y. J. Yang, Tong Heng Lee
2003	B	`conf`	A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems. IEEE Congress on Evolutionary Computation Kay Chen Tan, Tong Heng Lee, Yong Han Chew, Loo Hay Lee
2003	B	`conf`	A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows. SMC Kay Chen Tan, Tong Heng Lee, Yong Han Chew, Loo Hay Lee
2003	J	`jnl`	An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization. J. Artif. Intell. Res. Kay Chen Tan, Eik Fun Khor, Tong Heng Lee, Ramasubramanian Sathikannan
2003	J	`jnl`	Design and implementation of a distributed evolutionary computing software. IEEE Trans. Syst. Man Cybern. Part C Kay Chen Tan, Arthur Tay, Ji Cai
2003	B	`conf`	Development of a distributed evolutionary computing package. IEEE Congress on Evolutionary Computation Kay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai
2003	B	`conf`	Enhanced distribution and exploration for multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee
2003	J	`jnl`	Evolutionary computing for knowledge discovery in medical diagnosis. Artif. Intell. Medicine Kay Chen Tan, Qiang Yu, C. M. Heng, Tong Heng Lee
2003	J	`jnl`	The Intelligent Alarm Management System. IEEE Softw. Jun Liu, Khiang Wee Lim, Weng Khuen Ho, Kay Chen Tan, Rajagopalan Srinivasan, Arthur Tay
2003	J	`jnl`	Vehicle capacity planning system: a case study on vehicle routing problem with time windows. IEEE Trans. Syst. Man Cybern. Part A Loo Hay Lee, Kay Chen Tan, Ke Ou, Yong Han Chew
2002	B	`conf`	Automating the drug scheduling of cancer chemotherapy via evolutionary computation. IEEE Congress on Evolutionary Computation Kay Chen Tan, Tong Heng Lee, Ji Cai, Yoong Han Chew
2002	J	`jnl`	Automating the drug scheduling of cancer chemotherapy via evolutionary computation. Artif. Intell. Medicine Kay Chen Tan, Eik Fun Khor, Ji Cai, C. M. Heng, Tong Heng Lee
2002	B	`conf`	Autonomous registration of disparate spatial data via an evolutionary algorithm toolbox. IEEE Congress on Evolutionary Computation Kay Chen Tan, Kuntal Sengupta, Tong Heng Lee, Ramasubramanian Sathikannan
2002	—	`conf`	Autonomous robot navigation based on fuzzy sensor fusion and reinforcement learning. ISIC Kay Chen Tan, Kok Kiong Tan, Tong Heng Lee, Shiyu Zhao, Y. J. Chen
2002	B	`conf`	Autonomous robot navigation via intrinsic evolution. IEEE Congress on Evolutionary Computation Kay Chen Tan, Chee-Meng Chew, Kok Kiong Tan, L. F. Wang, Y. J. Chen
2002	J	`jnl`	Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform. Fuzzy Sets Syst. Kay Chen Tan, Tong Heng Lee, Eik Fun Khor, D. C. Ang
2002	—	`conf`	Distributed Evolutionary Strategies for Searching oligo Sets of yeast genome. SEAL Arthur Tay, Kay Chen Tan, Ji Cai, Huck-Hui Ng
2002	J	`jnl`	Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons. Artif. Intell. Rev. Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
2002	J	`jnl`	Learning the Search Range for Evolutionary Optimization in Dynamic Environments. Knowl. Inf. Syst. Eik Fun Khor, Kay Chen Tan, Tong Heng Lee
2002	B	`conf`	Mining multiple comprehensible classification rules using genetic programming. IEEE Congress on Evolutionary Computation Kay Chen Tan, Arthur Tay, Tong Heng Lee, C. M. Heng
2001	B	`conf`	A messy genetic algorithm for the vehicle routing problem with time window constraints. CEC Kay Chen Tan, Tong Heng Lee, Ke Ou, Loo Hay Lee
2001	J	`jnl`	A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization. IEEE Trans. Syst. Man Cybern. Part B Kay Chen Tan, Tong Heng Lee, D. Khoo, Eik Fun Khor
2001	B	`conf`	Constrained evolutionary exploration via genetic structure of packet distribution. CEC Kay Chen Tan, Tong Heng Lee, D. Khoo, Eik Fun Khor
2001	B	`conf`	Control system design unification and automation-a way forward in CACSD via evolutionary computation. CEC T. W. Lee, Kay Chen Tan, E. F. Khor
2001	J	`jnl`	Development of a web-based laboratory for control experiments on a coupled tank apparatus. IEEE Trans. Educ. Chi Chung Ko, Ben M. Chen, Jianping Chen, Yuan Zhuang, Kay Chen Tan
2001	B	`conf`	Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons. CEC Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
2001	J	`jnl`	Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization. IEEE Trans. Evol. Comput. Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
2001	J	`jnl`	Heuristic methods for vehicle routing problem with time windows. Artif. Intell. Eng. Kay Chen Tan, Loo Hay Lee, Kenny Qili Zhu, Ke Ou
2001	C	`conf`	Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons. EMO Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
2001	B	`conf`	Multi-objective evolutionary algorithm with non-stationary search space. CEC Eik Fun Khor, Kay Chen Tan, Tong Heng Lee
2001	C	`conf`	Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization. EMO Eik Fun Khor, Kay Chen Tan, Tong Heng Lee
2000	—	`conf`	Automatic Design of Multivariable QFT Control System via Evolutionary Computation. EvoWorkshops Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
2000	C	`conf`	Development of a web-based control experiment for a coupled tank apparatus. ACC V. Ramakrishnan, Yuan Zhuang, Shaoyan Hu, Jianping Chen, Chi Chung Ko, Ben M. Chen, Kay Chen Tan
2000	B	`conf`	Evolutionary artificial potential fields and their application in real time robot path planning. CEC Prahlad Vadakkepat, Kay Chen Tan, Ming-Liang Wang
2000	J	`jnl`	Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles. IEEE Trans. Syst. Man Cybern. Part B Kok Kiong Tan, Kay Chen Tan, Kok-Zuea Tang
2000	—	`conf`	Heuristics for Vehicle Routing Problem with Time Windows. AI&M Kay Chen Tan, Loo Hay Lee, Kenny Qili Zhu
2000	B	`conf`	MOEA toolbox for computer aided multi-objective optimization. CEC Kay Chen Tan, T. H. Lee, D. Khoo, E. F. Khor, R. S. Kannan
1999	B	`conf`	Evolutionary algorithms with goal and priority information for multi-objective optimization. CEC Kay Chen Tan, T. H. Lee, E. F. Khor
1999	—	`conf`	Vehicle Dispatching System Based on Taguchi-tuned Fuzzy Rules. IIA/SOCO Kok Kiong Tan, Kay Chen Tan, Kok-Zuea Tang
1972	J	`jnl`	Least Upper Bound on the Cost of Optimum Binary Search Trees. Acta Informatica T. C. Hu, Kay Chen Tan
1972	J	`jnl`	On Foster's Information Storage and Retrieval Using AVL Trees. Commun. ACM Kay Chen Tan