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ORCIDKay Chen Tan
Person information
- affiliation: Hong Kong Polytechnic University, Hong Kong
- affiliation (former): City University of Hong Kong, Hong Kong
- affiliation (former): National University of Singapore, Singapore
- affiliation (PhD 1997): University of Glasgow, UK
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2020 – today
- 2024
[j318]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): 3064-3078 (2024)- [j317]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: 101618 (2024) - [j316]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Block-Level Knowledge Transfer for Evolutionary Multitask Optimization. IEEE Trans. Cybern. 54(1): 558-571 (2024) - [j315]Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54(3): 1828-1840 (2024) - [j314]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): 4177-4189 (2024) - [j313]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): 47-61 (2024) - [j312]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): 62-76 (2024) - [j311]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): 323-337 (2024) - [j310]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): 388-402 (2024) - [j309]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): 682-695 (2024) - [j308]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): 733-747 (2024) - [j307]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): 1141-1155 (2024) - [j306]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): 1894-1909 (2024) - [j305]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): 2213-2227 (2024) - [j304]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): 2709-2722 (2024) - [j303]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): 5721-5734 (2024) - [j302]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): 6863-6877 (2024) - [j301]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): 7627-7641 (2024) - [j300]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): 8161-8175 (2024) - [j299]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): 10591-10605 (2024) - [j298]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): 936-949 (2024) - [c141]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: 16838-16847 - [c140]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: 20640-20648 - [c139]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI 2024: 21690-21698 - [c138]Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. CEC 2024: 1-8 - [c137]Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan:
A Review on Evolutionary Multiform Transfer Optimization. CEC 2024: 1-8 - [c136]Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan:
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. CEC 2024: 1-8 - [c135]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 - [c134]Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. ICIC (2) 2024: 218-230 - [i57]Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR abs/2401.01563 (2024) - [i56]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 abs/2401.10034 (2024) - [i55]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR abs/2402.15969 (2024) - [i54]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR abs/2402.17318 (2024) - [i53]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 abs/2403.01757 (2024) - [i52]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR abs/2404.00962 (2024) - [i51]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 abs/2404.06290 (2024) - [i50]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 abs/2404.06349 (2024) - [i49]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR abs/2404.12569 (2024) - [i48]Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. CoRR abs/2405.05767 (2024) - [i47]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 abs/2405.11349 (2024) - [i46]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR abs/2405.15252 (2024) - [i45]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 abs/2405.16041 (2024) - [i44]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 abs/2406.08987 (2024) - [i43]Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan:
Learning to Transfer for Evolutionary Multitasking. CoRR abs/2406.14359 (2024) - 2023
- [j297]Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang:
Event-driven spiking neural networks with spike-based learning. Memetic Comput. 15(2): 205-217 (2023) - [j296]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): 13778-13795 (2023) - [j295]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): 107-120 (2023) - [j294]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): 1137-1149 (2023) - [j293]Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Optimizing Niche Center for Multimodal Optimization Problems. IEEE Trans. Cybern. 53(4): 2544-2557 (2023) - [j292]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): 2685-2697 (2023) - [j291]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): 3624-3638 (2023) - [j290]Junkai Ji, Minhui Dong, Qiuzhen Lin, Kay Chen Tan:
Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Trans. Cybern. 53(7): 4162-4174 (2023) - [j289]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): 5854-5866 (2023) - [j288]Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53(10): 6289-6302 (2023) - [j287]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): 6829-6842 (2023) - [j286]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): 6937-6950 (2023) - [j285]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Transferable Adaptive Differential Evolution for Many-Task Optimization. IEEE Trans. Cybern. 53(11): 7295-7308 (2023) - [j284]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): 67-81 (2023) - [j283]Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Orthogonal Transfer for Multitask Optimization. IEEE Trans. Evol. Comput. 27(1): 185-200 (2023) - [j282]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): 201-221 (2023) - [j281]Hongyan Chen, Hai-Lin Liu, Fangqing Gu, Kay Chen Tan:
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. IEEE Trans. Evol. Comput. 27(2): 237-250 (2023) - [j280]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): 401-415 (2023) - [j279]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): 642-656 (2023) - [j278]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): 802-816 (2023) - [j277]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): 863-877 (2023) - [j276]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): 1192-1206 (2023) - [j275]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): 1514-1528 (2023) - [j274]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): 1705-1719 (2023) - [j273]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): 1941-1961 (2023) - [j272]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): 753-767 (2023) - [j271]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): 872-886 (2023) - [j270]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): 1051-1064 (2023) - [j269]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): 446-460 (2023) - [j268]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): 550-570 (2023) - [j267]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): 4631-4645 (2023) - [j266]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): 6081-6095 (2023) - [j265]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): 7621-7634 (2023) - [j264]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): 9040-9053 (2023) - [j263]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): 10254-10265 (2023) - [j262]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): 623-634 (2023) - [j261]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): 5404-5416 (2023) - [c133]Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan:
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI 2023: 15224-15232 - [c132]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: 8300-8305 - [c131]Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan:
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC 2023: 177-182 - [c130]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: 4920-4925 - [i42]Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR abs/2301.12457 (2023) - [i41]Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan:
A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR abs/2304.04067 (2023) - [i40]Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang:
A Survey on Distributed Evolutionary Computation. CoRR abs/2304.05811 (2023) - [i39]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR abs/2304.08503 (2023) - [i38]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR abs/2305.16594 (2023) - [i37]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR abs/2307.07231 (2023) - [i36]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 abs/2308.13250 (2023) - [i35]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 abs/2308.15150 (2023) - [i34]Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan:
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR abs/2310.07284 (2023) - [i33]Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li:
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning. CoRR abs/2310.12538 (2023) - [i32]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 abs/2310.14978 (2023) - [i31]Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan:
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR abs/2311.13184 (2023) - 2022
- [j260]Zhi-Hui Zhan, Lin Shi, Kay Chen Tan, Jun Zhang:
A survey on evolutionary computation for complex continuous optimization. Artif. Intell. Rev. 55(1): 59-110 (2022) - [j259]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass:
A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. 55(5): 3607-3725 (2022) - [j258]Yansen Su, Zhongxiang Jin, Ye Tian, Xingyi Zhang, Kay Chen Tan:
Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]. IEEE Comput. Intell. Mag. 17(3): 34-53 (2022) - [j257]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): 27-38 (2022) - [j256]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022) - [j255]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): 1801-1817 (2022) - [j254]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: 107933 (2022) - [j253]