Kay Chen Tan

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 281

Top Venues

IEEE Trans. Cybern.

CoRR

IEEE Comput. Intell. Mag.

IEEE Trans. Evol. Comput.

Publications

Qiuzhen Lin, Yulong Ye, Lijia Ma, Min Jiang, Kay Chen Tan
Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR (2024)
Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
Block-Level Knowledge Transfer for Evolutionary Multitask Optimization. IEEE Trans. Cybern. 54 (1) (2024)
Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR (2024)
Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54 (3) (2024)
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28 (1) (2024)
Yue Wu, Hangqi Ding, Maoguo Gong, A. Kai Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. 28 (1) (2024)
Hongyan Chen, Hai-Lin Liu, Fangqing Gu, Kay Chen Tan
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. IEEE Trans. Evol. Comput. 27 (2) (2023)
Xunfeng Wu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan, Victor C. M. Leung
An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. IEEE Trans. Cybern. 53 (9) (2023)
Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Kay Chen Tan
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (1) (2023)
Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan
Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Trans. Cybern. 53 (7) (2023)
Haotian Zhang, Jianyong Sun, Kay Chen Tan, Zongben Xu
Learning Adaptive Differential Evolution by Natural Evolution Strategies. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR (2023)
Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan
Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. 70 (4) (2023)
Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR (2023)
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. 27 (5) (2023)
Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR (2023)
Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang
Event-driven spiking neural networks with spike-based learning. Memetic Comput. 15 (2) (2023)
Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan
A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR (2023)
Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
Transferable Adaptive Differential Evolution for Many-Task Optimization. IEEE Trans. Cybern. 53 (11) (2023)
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 27 (6) (2023)
Songbai Liu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (6) (2023)
Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang
Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang
A Survey on Distributed Evolutionary Computation. CoRR (2023)
Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC (2023)
Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
Orthogonal Transfer for Multitask Optimization. IEEE Trans. Evol. Comput. 27 (1) (2023)
Junkai Ji, Jiajun Zhao, Qiuzhen Lin, Kay Chen Tan
Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. IEEE Trans. Cybern. 53 (11) (2023)
Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27 (4) (2023)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53 (11) (2023)
Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans. Evol. Comput. 27 (3) (2023)
Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (2) (2023)
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4 (1) (2023)
Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
Optimizing Niche Center for Multimodal Optimization Problems. IEEE Trans. Cybern. 53 (4) (2023)
Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53 (10) (2023)
Weizhong Wang, Hai-Lin Liu, Kay Chen Tan
A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems. IEEE Trans. Cybern. 53 (4) (2023)
Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR (2023)
Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization. IEEE Trans. Evol. Comput. 27 (5) (2023)
Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI (2023)
Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR (2023)
Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. IROS (2023)
Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR (2023)
Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR (2023)
Yuxiao Huang, Liang Feng, Min Li, Yu Wang, Zexuan Zhu, Kay Chen Tan
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (2023)
Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR (2023)
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Junjia Liu, Hengyi Sim, Chenzui Li, Kay Chen Tan, Fei Chen
BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration. CDC (2023)
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (3) (2023)
Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (1) (2023)
Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan
Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan
Communication Efficient Federated Learning With Heterogeneous Structured Client Models. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization. IEEE Trans. Cybern. 53 (6) (2023)
Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR (2023)
Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR (2023)
Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 52 (9) (2022)
Songbai Liu, Qiuzhen Lin, Ye Tian, Kay Chen Tan
A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 52 (12) (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52 (10) (2022)
Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (2) (2022)
Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR (2022)
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowl. Based Syst. 239 (2022)
Jianqiang Li, Tao Sun, Qiuzhen Lin, Min Jiang, Kay Chen Tan
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan
Crowd Counting in the Frequency Domain. CVPR (2022)
Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 9 (10) (2022)
Songbai Liu, Qiuzhen Lin, Qing Li, Kay Chen Tan
A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Chunjiang Zhang, A. Kai Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. 52 (2) (2022)
Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv
Differentiable Search of Accurate and Robust Architectures. CoRR (2022)
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Trans. Cogn. Dev. Syst. 14 (3) (2022)
Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52 (7) (2022)
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR (2022)
Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC (2022)
Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. IEEE Trans. Cybern. 52 (7) (2022)
Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization. IEEE Trans. Evol. Comput. 26 (4) (2022)
Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. IEEE Trans. Evol. Comput. 26 (6) (2022)
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. IJCNN (2022)
Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, Tianyou Chai
Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 52 (10) (2022)
Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. 17 (4) (2022)
Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR (2022)
Songbai Liu, Min Jiang, Qiuzhen Lin, Kay Chen Tan
Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. CEC (2022)
Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. IEEE Trans. Cybern. 52 (5) (2022)
Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan
Concept Drift-Tolerant Transfer Learning in Dynamic Environments. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Heba El-Fiqi, Min Wang, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass
Weighted Gate Layer Autoencoders. IEEE Trans. Cybern. 52 (8) (2022)
Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. 52 (3) (2022)
Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello
A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. 52 (5) (2022)
Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Comput. 14 (2) (2022)
Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26 (3) (2022)

Kay Chen Tan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kay Chen Tan