Kay Chen Tan

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 304

Top Venues

CoRR

IEEE Trans. Cybern.

IEEE Trans. Evol. Comput.

IEEE Comput. Intell. Mag.

Publications

Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. CoRR (2024)
Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR (2024)
Jianping Luo, YongFei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR (2024)
Jiaxin Chen, Jinliang Ding, Ke Li, Kay Chen Tan, Tianyou Chai
A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. IEEE Trans. Cybern. 54 (7) (2024)
Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan
Learning to Transfer for Evolutionary Multitasking. CoRR (2024)
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI (2024)
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)
Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR (2024)
Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR (2024)
Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. 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)
Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Haokai Hong, Wanyu Lin, Kay Chen Tan
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR (2024)
Kailai Gao, Cuie Yang, Jinliang Ding, Kay Chen Tan, Tianyou Chai
Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. IEEE Trans. Evol. Comput. 28 (4) (2024)
Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. CEC (2024)
Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan
A Review on Evolutionary Multiform Transfer Optimization. CEC (2024)
Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Jianqiang Li, Kay Chen Tan
Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. CEC (2024)
Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR (2024)
Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR (2024)
Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. ICIC (2) (2024)
Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
Towards multi-objective high-dimensional feature selection via evolutionary multitasking. Swarm Evol. Comput. 89 (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)
Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
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. AAAI (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)
Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (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)
Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. AAAI (2024)
Haokai Hong, Wanyu Lin, Kay Chen Tan
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR (2024)
Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. CoRR (2024)
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28 (2) (2024)
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR (2024)
Xin-Yu Wang, Qi-Te Yang, Yi Jiang, Kay Chen Tan, Jun Zhang, Zhi-Hui Zhan
Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. GECCO (2024)
Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. 28 (2) (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)
Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems. CoRR (2024)
Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kay Chen Tan