Least Upper Bound on the Cost of Optimum Binary Search Trees. - T. C. Hu; Kay Chen Tan (Acta Informatica, 1972)

On Foster's Information Storage and Retrieval Using AVL Trees. - Kay Chen Tan (Commun. ACM, 1972)

Evolutionary algorithms with goal and priority information for multi-objective optimization. - Kay Chen Tan; T. H. Lee; E. F. Khor (CEC, 1999)

Vehicle Dispatching System Based on Taguchi-tuned Fuzzy Rules. - Kok Kiong Tan; Kay Chen Tan; Kok-Zuea Tang (IIA/SOCO, 1999)

Heuristics for Vehicle Routing Problem with Time Windows. - Kay Chen Tan; Loo Hay Lee; Kenny Qili Zhu (AI&M, 2000)

Development of a web-based control experiment for a coupled tank apparatus. - V. Ramakrishnan; Yuan Zhuang; Shaoyan Hu; Jianping Chen; Chi Chung Ko; Ben M. Chen; Kay Chen Tan (ACC, 2000)

MOEA toolbox for computer aided multi-objective optimization. - Kay Chen Tan; T. H. Lee; D. Khoo; E. F. Khor; R. S. Kannan (CEC, 2000)

Evolutionary artificial potential fields and their application in real time robot path planning. - Prahlad Vadakkepat; Kay Chen Tan; Ming-Liang Wang (CEC, 2000)

Automatic Design of Multivariable QFT Control System via Evolutionary Computation. - Kay Chen Tan; Tong Heng Lee; Eik Fun Khor (EvoWorkshops, 2000)

Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles. - Kok Kiong Tan; Kay Chen Tan; Kok-Zuea Tang (IEEE Trans. Syst. Man Cybern. Part B, 2000)

Multi-objective evolutionary algorithm with non-stationary search space. - Eik Fun Khor; Kay Chen Tan; Tong Heng Lee (CEC, 2001)

Control system design unification and automation-a way forward in CACSD via evolutionary computation. - T. W. Lee; Kay Chen Tan; E. F. Khor (CEC, 2001)

Constrained evolutionary exploration via genetic structure of packet distribution. - Kay Chen Tan; Tong Heng Lee; D. Khoo; Eik Fun Khor (CEC, 2001)

A messy genetic algorithm for the vehicle routing problem with time window constraints. - Kay Chen Tan; Tong Heng Lee; Ke Ou; Loo Hay Lee (CEC, 2001)

Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization. - Eik Fun Khor; Kay Chen Tan; Tong Heng Lee (EMO, 2001)

Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons. - Kay Chen Tan; Tong Heng Lee; Eik Fun Khor (EMO, 2001)

Heuristic methods for vehicle routing problem with time windows. - Kay Chen Tan; Loo Hay Lee; Kenny Qili Zhu; Ke Ou (Artif. Intell. Eng., 2001)

Development of a web-based laboratory for control experiments on a coupled tank apparatus. - Chi Chung Ko; Ben M. Chen; Jianping Chen; Yuan Zhuang; Kay Chen Tan (IEEE Trans. Educ., 2001)

Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization. - Kay Chen Tan; Tong Heng Lee; Eik Fun Khor (IEEE Trans. Evol. Comput., 2001)

A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization. - Kay Chen Tan; Tong Heng Lee; D. Khoo; Eik Fun Khor (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Autonomous robot navigation based on fuzzy sensor fusion and reinforcement learning. - Kay Chen Tan; Kok Kiong Tan; Tong Heng Lee; Shiyu Zhao; Y. J. Chen (ISIC, 2002)

Autonomous robot navigation via intrinsic evolution. - Kay Chen Tan; Chee-Meng Chew; Kok Kiong Tan; L. F. Wang; Y. J. Chen (IEEE Congress on Evolutionary Computation, 2002)

Automating the drug scheduling of cancer chemotherapy via evolutionary computation. - Kay Chen Tan; Tong Heng Lee; Ji Cai; Yoong Han Chew (IEEE Congress on Evolutionary Computation, 2002)

Autonomous registration of disparate spatial data via an evolutionary algorithm toolbox. - Kay Chen Tan; Kuntal Sengupta; Tong Heng Lee; Ramasubramanian Sathikannan (IEEE Congress on Evolutionary Computation, 2002)

Mining multiple comprehensible classification rules using genetic programming. - Kay Chen Tan; Arthur Tay; Tong Heng Lee; C. M. Heng (IEEE Congress on Evolutionary Computation, 2002)

Distributed Evolutionary Strategies for Searching oligo Sets of yeast genome. - Arthur Tay; Kay Chen Tan; Ji Cai; Huck-Hui Ng (SEAL, 2002)

Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons. - Kay Chen Tan; Tong Heng Lee; Eik Fun Khor (Artif. Intell. Rev., 2002)

Automating the drug scheduling of cancer chemotherapy via evolutionary computation. - Kay Chen Tan; Eik Fun Khor; Ji Cai; C. M. Heng; Tong Heng Lee (Artif. Intell. Medicine, 2002)

Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform. - Kay Chen Tan; Tong Heng Lee; Eik Fun Khor; D. C. Ang (Fuzzy Sets Syst., 2002)

Learning the Search Range for Evolutionary Optimization in Dynamic Environments. - Eik Fun Khor; Kay Chen Tan; Tong Heng Lee (Knowl. Inf. Syst., 2002)

A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems. - Kay Chen Tan; Tong Heng Lee; Yong Han Chew; Loo Hay Lee (IEEE Congress on Evolutionary Computation, 2003)

Development of a distributed evolutionary computing package. - Kay Chen Tan; W. Peng; Tong Heng Lee; Ji Cai (IEEE Congress on Evolutionary Computation, 2003)

Enhanced distribution and exploration for multiobjective evolutionary algorithms. - Kay Chen Tan; Y. J. Yang; Chi Keong Goh; Tong Heng Lee (IEEE Congress on Evolutionary Computation, 2003)

A distributed cooperative coevolutionary algorithm for multiobjective optimization. - Kay Chen Tan; Y. J. Yang; Tong Heng Lee (IEEE Congress on Evolutionary Computation, 2003)

A cooperative coevolutionary algorithm for multiobjective optimization. - Kay Chen Tan; Yong Han Chew; Tong Heng Lee; Y. J. Yang (SMC, 2003)

A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows. - Kay Chen Tan; Tong Heng Lee; Yong Han Chew; Loo Hay Lee (SMC, 2003)

A Tabu-Based Exploratory Evolutionary Algorithm for Multiobjective Optimization. - Kay Chen Tan; Eik Fun Khor; Tong Heng Lee; Y. J. Yang (Artif. Intell. Rev., 2003)

Evolutionary computing for knowledge discovery in medical diagnosis. - Kay Chen Tan; Qiang Yu 005; C. M. Heng; Tong Heng Lee (Artif. Intell. Medicine, 2003)

An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization. - Kay Chen Tan; Eik Fun Khor; Tong Heng Lee; Ramasubramanian Sathikannan (J. Artif. Intell. Res., 2003)

The Intelligent Alarm Management System. - Jun Liu; Khiang Wee Lim; Weng Khuen Ho; Kay Chen Tan; Rajagopalan Srinivasan; Arthur Tay (IEEE Softw., 2003)

Vehicle capacity planning system: a case study on vehicle routing problem with time windows. - Loo Hay Lee; Kay Chen Tan; Ke Ou; Yong Han Chew (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Design and implementation of a distributed evolutionary computing software. - Kay Chen Tan; Arthur Tay; Ji Cai (IEEE Trans. Syst. Man Cybern. Part C, 2003)

Dynamical optimal learning for FNN and its applications. - Huajin Tang; Kay Chen Tan; Tong Heng Lee (FUZZ-IEEE, 2004)

A cooperative coevolutionary algorithm for multiobjective optimization. - Kay Chen Tan; Tong Heng Lee; Y. J. Yang; D. S. Liu (SMC (2), 2004)

Fpga-Based Autonomous Robot Navigation Via Intrinsic Evolution. - Kay Chen Tan; L. F. Wang; Tong Heng Lee (Appl. Artif. Intell., 2004)

Evolvable Hardware in Evolutionary Robotics. - Kay Chen Tan; L. F. Wang; Tong Heng Lee; Prahlad Vadakkepat (Auton. Robots, 2004)

Book Review: The Design of Innovation: Lessons from and for Competent Genetic Algorithms. - Kay Chen Tan (Genet. Program. Evolvable Mach., 2004)

CAutoCSD-evolutionary search and optimisation enabled computer automated control system design. - Yun Li 002; Kiam Heong Ang; Gregory Chow Ye Chong; Wenyuan Feng; Kay Chen Tan; Hiroshi Kashiwagi (Int. J. Autom. Comput., 2004)

Global exponential stability of discrete-time neural networks for constrained quadratic optimization. - Kay Chen Tan; Huajin Tang; Z. Yi (Neurocomputing, 2004)

Fault-tolerant vibration control in a networked and embedded rocket fairing system. - Lingfeng Wang 001; Bin Huang; Kay Chen Tan (IEEE Trans. Ind. Electron., 2004)

New dynamical optimal learning for linear multilayer FNN. - Kay Chen Tan; Huajin Tang (IEEE Trans. Neural Networks, 2004)

A columnar competitive model for solving combinatorial optimization problems. - Huajin Tang; Kay Chen Tan; Zhang Yi 001 (IEEE Trans. Neural Networks, 2004)

Evolution and incremental learning in the iterative prisoner's dilemma. - Chi Keong Goh; Hanyang Quek; Eu Jin Teoh; Kay Chen Tan (Congress on Evolutionary Computation, 2005)

Adapting evolutionary dynamics of variation for multi-objective optimization. - Eu Jin Teoh; Swee Chiang Chiam; Chi Keong Goh; Kay Chen Tan (Congress on Evolutionary Computation, 2005)

Intelligent Sensor Fusion And Learning For Autonomous Robot Navigation. - Kay Chen Tan; Y. J. Chen; L. F. Wang; Dikai Liu (Appl. Artif. Intell., 2005)

A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. - Eik Fun Khor; Kay Chen Tan; Tong Heng Lee; Chi Keong Goh (Artif. Intell. Rev., 2005)

A P2P genetic algorithm environment for the internet. - Kay Chen Tan; Mingliang Wang; Wei Peng (Commun. ACM, 2005)

Modeling and control of a pilot pH plant using genetic algorithm. - Woei Wan Tan; Fengwei Lu; Ai Poh Loh; Kay Chen Tan (Eng. Appl. Artif. Intell., 2005)

Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. - Huajin Tang; Kay Chen Tan; Weinian Zhang (Neural Comput., 2005)

Using the OPC Standard for Real-Time Process Monitoring and Control. - Jun Liu; Khiang Wee Lim; Weng Khuen Ho; Kay Chen Tan; Arthur Tay; Rajagopalan Srinivasan (IEEE Softw., 2005)

A flexible automatic test system for rotating-turbine machinery. - Lingfeng Wang 001; Kay Chen Tan; X. D. Jiang; Y. B. Chen (IEEE Trans Autom. Sci. Eng., 2005)

On parameter settings of Hopfield networks applied to traveling salesman problems. - Kay Chen Tan; Huajin Tang; Shuzhi Sam Ge (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Qualitative analysis for recurrent neural networks with linear threshold transfer functions. - Kay Chen Tan; Huajin Tang; Weinian Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Task-oriented developmental learning for humanoid robots. - Kay Chen Tan; Y. J. Chen; Kok Kiong Tan; Tong Heng Lee (IEEE Trans. Ind. Electron., 2005)

Digital processing of dual-frequency servo burst in hard disk drives. - Abdullah Al Mamun 002; Guoxiao Guo; Kay Chen Tan; Yimei Liu (IEEE Trans. Instrum. Meas., 2005)

A distributed evolutionary classifier for knowledge discovery in data mining. - Kay Chen Tan; Qiang Yu 005; Tong Heng Lee (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Multiobjective Evolutionary Algorithms and Applications. - Kay Chen Tan; Eik Fun Khor; Tong Heng Lee (Springer, 2005)

A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand. - Chun Yew Cheong; Kay Chen Tan; Dikai Liu; Jian-Xin Xu 001 (IEEE Congress on Evolutionary Computation, 2006)

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. - Chi Keong Goh; Hanyang Quek; Kay Chen Tan; Hussein A. Abbass (IEEE Congress on Evolutionary Computation, 2006)

Noise Handling in Evolutionary Multi-Objective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2006)

An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization. - Ngai Ming Kwok; Dikai Liu; Kay Chen Tan; Quang Phuc Ha (IEEE Congress on Evolutionary Computation, 2006)

On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. - Dasheng Liu; Kay Chen Tan; Chi Keong Goh; Weng Khuen Ho (IEEE Congress on Evolutionary Computation, 2006)

A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. - Eu Jin Teoh; Huajin Tang; Kay Chen Tan (IJCNN, 2006)

A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. - Eu Jin Teoh; Cheng Xiang 001; Kay Chen Tan (ISNN (1), 2006)

A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows. - Kay Chen Tan; Yoong Han Chew; Loo Hay Lee (Comput. Optim. Appl., 2006)

A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. - Kay Chen Tan; Qiang Yu 005; Ji Hua Ang (Comput. Optim. Appl., 2006)

A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems. - Kay Chen Tan; Yoong Han Chew; Loo Hay Lee (Eur. J. Oper. Res., 2006)

Evolving better population distribution and exploration in evolutionary multi-objective optimization. - Kay Chen Tan; Chi Keong Goh; Y. J. Yang; Tong Heng Lee (Eur. J. Oper. Res., 2006)

A coevolutionary algorithm for rules discovery in data mining. - Kay Chen Tan; Qiang Yu 005; Ji Hua Ang (Int. J. Syst. Sci., 2006)

A distributed Cooperative coevolutionary algorithm for multiobjective optimization. - Kay Chen Tan; Y. J. Yang; Chi Keong Goh (IEEE Trans. Evol. Comput., 2006)

An automated methodology for the tracking of electrical performance for memory test systems. - Abdullah Al Mamun 002; L. F. Wang; Kay Chen Tan; H. M. Heng; P. C. Ho (IEEE Trans. Instrum. Meas., 2006)

Dynamics analysis and analog associative memory of networks with LT neurons. - Huajin Tang; Kay Chen Tan; Eu Jin Teoh (IEEE Trans. Neural Networks, 2006)

Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. - Eu Jin Teoh; Kay Chen Tan; Cheng Xiang 001 (IEEE Trans. Neural Networks, 2006)

Evolutionary Robotics: From Algorithms to Implementations - Lingfeng Wang 001; Kay Chen Tan; Chee-Meng Chew (World Scientific, 2006)

A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. - Chi Keong Goh; Kay Chen Tan; Arthur Tay (ISIC, 2007)

A multi-objective evolutionary algorithm for berth allocation in a container port. - Chun Yew Cheong; C. J. Lin; Kay Chen Tan; Dikai Liu (IEEE Congress on Evolutionary Computation, 2007)

Noise-induced features in robust multi-objective optimization problems. - Chi Keong Goh; Kay Chen Tan; Chun Yew Cheong; Yew-Soon Ong (IEEE Congress on Evolutionary Computation, 2007)

Efficient particle swarm optimization: a termination condition based on the decision-making approach. - Ngai Ming Kwok; Quang Phuc Ha; Dikai Liu; Gu Fang; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2007)

A distributed co-evolutionary particle swarm optimization algorithm. - D. S. Liu; Kay Chen Tan; Weng Khuen Ho (IEEE Congress on Evolutionary Computation, 2007)

A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. - C. H. Tan; Chi Keong Goh; Kay Chen Tan; Arthur Tay (IEEE Congress on Evolutionary Computation, 2007)

Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. - Lingfeng Wang 001; Chanan Singh; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2007)

Discovering Chinese Chess Strategies through Coevolutionary Approaches. - Chin Soon Ong; Hanyang Quek; Kay Chen Tan; Arthur Tay (CIG, 2007)

Solving the Exam Timetabling Problem via a Multi-Objective Evolutionary Algorithm - A More General Approach. - Chun Yew Cheong; Kay Chen Tan; Bharadwaj Veeravalli (CISched, 2007)

Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. - Swee Chiang Chiam; Chi Keong Goh; Kay Chen Tan (EMO, 2007)

Molecular Dynamics Optimizer. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (EMO, 2007)

Multiobjective Evolutionary Neural Networks for Time Series Forecasting. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (EMO, 2007)

Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). - Kay Chen Tan (EMO, 2007)

Evolutionary and meta-heuristic scheduling. - Kay Chen Tan; Edmund K. Burke; Tong Heng Lee (Eur. J. Oper. Res., 2007)

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. - Kay Chen Tan; Chun Yew Cheong; Chi Keong Goh (Eur. J. Oper. Res., 2007)

Evolutionary design and implementation of a hard disk drive servo control system. - Kay Chen Tan; Ramasubramanian Sathikannan; Woei Wan Tan; A. P. Loh (Soft Comput., 2007)

An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Trans. Evol. Comput., 2007)

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. - Dasheng Liu; Kay Chen Tan; Chi Keong Goh; Weng Khuen Ho (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. - Ji Hua Ang; Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (Advances in Evolutionary Computing for System Design, 2007)

A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. - Chi Keong Goh; Wei Ling Lim; Yong Han Chew; Kay Chen Tan (Evolutionary Scheduling, 2007)

Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. - Chi Keong Goh; Kay Chen Tan (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Dimension reduction using evolutionary Support Vector Machines. - Ji Hua Ang; Eu Jin Teoh; C. H. Tan; K. C. Goh; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2008)

An investigation on evolutionary gradient search for multi-objective optimization. - Chi Keong Goh; Yew-Soon Ong; Kay Chen Tan; Eu Jin Teoh (IEEE Congress on Evolutionary Computation, 2008)

Online adaptive controller for simulated car racing. - Chin Hiong Tan; Ji Hua Ang; Kay Chen Tan; Arthur Tay (IEEE Congress on Evolutionary Computation, 2008)

A memetic evolutionary search algorithm with variable length chromosome for rule extraction. - Ji Hua Brian Ang; Kay Chen Tan; Abdullah Al Mamun 002 (SMC, 2008)

Handling Uncertainties in Evolutionary Multi-Objective Optimization. - Kay Chen Tan; Chi Keong Goh (WCCI, 2008)

On solving multiobjective bin packing problems using evolutionary particle swarm optimization. - D. S. Liu; Kay Chen Tan; S. Y. Huang; Chi Keong Goh; Weng Khuen Ho (Eur. J. Oper. Res., 2008)

An evolutionary artificial immune system for multi-objective optimization. - Kay Chen Tan; Chi Keong Goh; Abdullah Al Mamun 002; E. Z. Ei (Eur. J. Oper. Res., 2008)

Evolutionary multi-objective portfolio optimization in practical context. - Swee Chiang Chiam; Kay Chen Tan; A. Al Mamum (Int. J. Autom. Comput., 2008)

Interference-less neural network training. - Ji Hua Ang; Sheng-Uei Guan; Kay Chen Tan; Abdullah Al Mamun 002 (Neurocomputing, 2008)

Training neural networks for classification using growth probability-based evolution. - Ji Hua Ang; Kay Chen Tan; Abdullah Al Mamun 002 (Neurocomputing, 2008)

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. - Eu Jin Teoh; Kay Chen Tan; Huajin Tang; Cheng Xiang 001; Chi Keong Goh (Neurocomputing, 2008)

Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. - Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (IEEE Trans. Neural Networks, 2008)

Improving Locality in Binary Representation via Redundancy. - Swee Chiang Chiam; Kay Chen Tan; Chi Keong Goh; Abdullah Al Mamun 002 (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem. - Chun Yew Cheong; Kay Chen Tan (Advances of Computational Intelligence in Industrial Systems, 2008)

Solving the berth allocation problem with service priority via multi-objective optimization. - Chun Yew Cheong; Kay Chen Tan; Dikai Liu (CISched, 2009)

Adaptive game AI for Gomoku. - Kuan Liang Tan; Chin Hiong Tan; Kay Chen Tan; Arthur Tay (ICARA, 2009)

Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. - Kay Chen Tan; Swee Chiang Chiam; Abdullah Al Mamun 002; Chi Keong Goh (Eur. J. Oper. Res., 2009)

Investigating technical trading strategy via an multi-objective evolutionary platform. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (Expert Syst. Appl., 2009)

A memetic model of evolutionary PSO for computational finance applications. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (Expert Syst. Appl., 2009)

A hybrid evolutionary algorithm for attribute selection in data mining. - Kay Chen Tan; Eu Jin Teoh; Qiang Yu 005; K. C. Goh (Expert Syst. Appl., 2009)

Evolving Nash-optimal poker strategies using evolutionary computation. - Hanyang Quek; Chunghoong Woo; Kay Chen Tan; Arthur Tay (Frontiers Comput. Sci. China, 2009)

A multi-objective evolutionary algorithm for examination timetabling. - Chun Yew Cheong; Kay Chen Tan; Bharadwaj Veeravalli (J. Sched., 2009)

A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. - Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (Soft Comput., 2009)

Public Goods Provision: An Evolutionary Game Theoretic Study Under Asymmetric Information. - Hanyang Quek; Kay Chen Tan; Arthur Tay (IEEE Trans. Comput. Intell. AI Games, 2009)

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Trans. Evol. Comput., 2009)

Evolutionary Game Theoretic Approach for Modeling Civil Violence. - Hanyang Quek; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Evol. Comput., 2009)

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. - Hanyang Quek; Kay Chen Tan; Chi Keong Goh; Hussein A. Abbass (IEEE Trans. Evol. Comput., 2009)

Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. - Lan Zou; Huajin Tang; Kay Chen Tan; Weinian Zhang (IEEE Trans. Neural Networks, 2009)

Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. - Lan Zou; Huajin Tang; Kay Chen Tan; Weinian Zhang (IEEE Trans. Neural Networks, 2009)

Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms - Chi Keong Goh; Kay Chen Tan (Springer, 2009)

Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand. - Chun Yew Cheong; Kay Chen Tan (Bio-inspired Algorithms for the Vehicle Routing Problem, 2009)

An investigation on sampling technique for multi-objective restricted Boltzmann machine. - Vui Ann Shim; Kay Chen Tan; Jun Yong Chia (IEEE Congress on Evolutionary Computation, 2010)

Restricted Boltzmann machine based algorithm for multi-objective optimization. - Huajin Tang; Vui Ann Shim; Kay Chen Tan; Jun Yong Chia (IEEE Congress on Evolutionary Computation, 2010)

CPSCom 2010 Keynote Speech: Kay Chen Tan. - Kay Chen Tan (GreenCom/CPSCom, 2010)

Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. - Vui Ann Shim; Kay Chen Tan; Jun Yong Chia (SEAL, 2010)

Multi-objective and prioritized berth allocation in container ports. - Chun Yew Cheong; Kay Chen Tan; Dikai Liu; C. J. Lin (Ann. Oper. Res., 2010)

Preface for the special volume on Computational Intelligence in Scheduling. - Graham Kendall; Kay Chen Tan; Edmund K. Burke; Stephen F. Smith (Ann. Oper. Res., 2010)

New year, New Challenges [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2010)

Not Just a "Meme" to an End [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2010)

Correction. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2010)

The Nuts and "Bots" of Our Future [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2010)

A Gathering of Intelligent Agents [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2010)

A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. - Chi Keong Goh; Kay Chen Tan; D. S. Liu; Swee Chiang Chiam (Eur. J. Oper. Res., 2010)

An evolutionary memetic algorithm for rule extraction. - Ji Hua Ang; Kay Chen Tan; Abdullah Al Mamun 002 (Expert Syst. Appl., 2010)

Exploiting molecular dynamics for multi-objective optimization. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (Expert Syst. Appl., 2010)

An investigation on noise-induced features in robust evolutionary multi-objective optimization. - Chi Keong Goh; Kay Chen Tan; Chun Yew Cheong; Yew-Soon Ong (Expert Syst. Appl., 2010)

Computationally efficient behaviour based controller for real time car racing simulation. - Chin Hiong Tan; Kay Chen Tan; Arthur Tay (Expert Syst. Appl., 2010)

A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. - Wee Tat Koo; Chi Keong Goh; Kay Chen Tan (Memetic Comput., 2010)

Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. - Ke Tang 001; Kay Chen Tan; Hisao Ishibuchi (Memetic Comput., 2010)

Welcoming the Year of the Rabbit! [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2011)

Goodbye James Bond, Hello Games Bond! [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2011)

Nothing's Too Small to Have an Impact [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2011)

'Tis the Season to be Healthy! - Kay Chen Tan (IEEE Comput. Intell. Mag., 2011)

Memetic informed evolutionary optimization via data mining. - Jun Yong Chia; Chi Keong Goh; Kay Chen Tan; Vui Ann Shim (Memetic Comput., 2011)

Dynamic Game Difficulty Scaling Using Adaptive Behavior-Based AI. - Chin Hiong Tan; Kay Chen Tan; Arthur Tay (IEEE Trans. Comput. Intell. AI Games, 2011)

A Multi-Facet Survey on Memetic Computation. - Xianshun Chen; Yew-Soon Ong; Meng-Hiot Lim; Kay Chen Tan (IEEE Trans. Evol. Comput., 2011)

Guest Editorial. - Yew-Soon Ong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2011)

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2012)

A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. - Vui Ann Shim; Kay Chen Tan; Kok Kiong Tan (IEEE Congress on Evolutionary Computation, 2012)

A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization. - Vui Ann Shim; Kay Chen Tan; Kok Kiong Tan (IEEE Congress on Evolutionary Computation, 2012)

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2012)

Learning real-world stimuli by single-spike coding and tempotron rule. - Huajin Tang; Qiang Yu 005; Kay Chen Tan (IJCNN, 2012)

Pattern recognition computation in a spiking neural network with temporal encoding and learning. - Qiang Yu 005; Kay Chen Tan; Huajin Tang (IJCNN, 2012)

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2012)

Advances in Evolutionary Multi-objective Optimization. - Kay Chen Tan (SOFA, 2012)

Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization. - Vui Ann Shim; Kay Chen Tan (WCCI, 2012)

CI at Work! [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2012)

Empowering Semantic Web with Computational Intelligence [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2012)

Type-2 Fuzzy Logic - Plodding on Steadily and Staying Relevant [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2012)

Propelling Bioinformatics a Notch Higher [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2012)

A data mining approach to evolutionary optimisation of noisy multi-objective problems. - Jun Yong Chia; Chi Keong Goh; Vui Ann Shim; Kay Chen Tan (Int. J. Syst. Sci., 2012)

A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem. - Vui Ann Shim; Kay Chen Tan; Chun Yew Cheong (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Spiking-timing based pattern recognition with real-world visual stimuli. - Jun Hu; Huajin Tang; Kay Chen Tan (CCMB, 2013)

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (EuroGP, 2013)

A neuro-cognitive system and its application in robotics. - Huajin Tang; Bo Tian; Vui Ann Shim; Kay Chen Tan (ICCA, 2013)

A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. - Sen Bong Gee; Xin Qiu 001; Kay Chen Tan (IDEAL, 2013)

Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. - Yung Siang Liau; Kay Chen Tan; Jun Hu; Xin Qiu 001; Sen Bong Gee (IDEAL, 2013)

A hierarchical organized memory model using spiking neurons. - Jun Hu; Huajin Tang; Kay Chen Tan (IJCNN, 2013)

Dynamic index tracking via multi-objective evolutionary algorithm. - Swee Chiang Chiam; Kay Chen Tan; Abdullah Al Mamun 002 (Appl. Soft Comput., 2013)

The "vision" of tomorrow! [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2013)

It's Just "Emotions" Has Taken Over? [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2013)

Auld Lang Syne [Editor's Remarks]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2013)

Hybrid evolutionary computation methods for quay crane scheduling problems. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Comput. Oper. Res., 2013)

Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment. - Vui Ann Shim; Kay Chen Tan; Jun Yong Chia; Abdullah Al Mamun 002 (Evol. Comput., 2013)

Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm. - Vui Ann Shim; Kay Chen Tan; Chun Yew Cheong; Jun Yong Chia (Inf. Sci., 2013)

A Spike-Timing-Based Integrated Model for Pattern Recognition. - Jun Hu; Huajin Tang; Kay Chen Tan; Haizhou Li 001; Luping Shi (Neural Comput., 2013)

Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection. - Aniruddha Basak; Swagatam Das; Kay Chen Tan (IEEE Trans. Evol. Comput., 2013)

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2013)

An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine. - Vui Ann Shim; Kay Chen Tan; Chun Yew Cheong (IEEE Trans. Evol. Comput., 2013)

Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. - Qiang Yu 005; Huajin Tang; Kay Chen Tan; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Automated Scheduling and Planning, 2013)

Diversity preservation with hybrid recombination for evolutionary multiobjective optimization. - Sen Bong Gee; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2014)

A novel Differential Evolution (DE) algorithm for multi-objective optimization. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2014)

Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002 (ICONIP (1), 2014)

A new learning rule for classification of spatiotemporal spike patterns. - Qiang Yu 005; Huajin Tang; Kay Chen Tan (IJCNN, 2014)

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (SEAL, 2014)

A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. - Xin Qiu 001; Ye Huang; Jian-Xin Xu 001; Kay Chen Tan (SEAL, 2014)

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (Evol. Comput., 2014)

A brain-inspired spiking neural network model with temporal encoding and learning. - Qiang Yu 005; Huajin Tang; Kay Chen Tan; Haoyong Yu (Neurocomputing, 2014)

Learning believable game agents using sensor noise and action histogram. - Chin Hiong Tan; Kay Chen Tan; Vui Ann Shim (Memetic Comput., 2014)

Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Evol. Comput., 2014)

Evolutionary Big Optimization (BigOpt) of Signals. - Sim Kuan Goh; Kay Chen Tan; Abdullah Al Mamun 002; Hussein A. Abbass (CEC, 2015)

Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (CEC, 2015)

A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (GECCO, 2015)

A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. - Xin Qiu 001; Weinan Xu; Jian-Xin Xu 001; Kay Chen Tan (GECCO, 2015)

Proceedings in Adaptation, Learning and Optimization. - Arrchana Muruganantham; Kay Chen Tan; Prahlad Vadakkepat (IES, 2015)

Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis. - Chong Zhang 003; Jia Hui Sun; Kay Chen Tan (SMC, 2015)

Evolutionary multi-objective optimization in engineering and prognostic applications. - Kay Chen Tan (TAAI, 2015)

CIS Publication Spotlight [Publication Spotlight]. - Derong Liu 001; Chin-Teng Lin; Kay Chen Tan; Graham Kendall; Angelo Cangelosi (IEEE Comput. Intell. Mag., 2015)

A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment. - Fangqing Gu; Hai-Lin Liu 001; Kay Chen Tan (Soft Comput., 2015)

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. - Su Nguyen; Mengjie Zhang 001; Mark Johnston; Kay Chen Tan (IEEE Trans. Cybern., 2015)

Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. - Vui Ann Shim; Kay Chen Tan; Huajin Tang (IEEE Trans. Cybern., 2015)

Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. - Sen Bong Gee; Kay Chen Tan; Vui Ann Shim; Nikhil R. Pal (IEEE Trans. Evol. Comput., 2015)

Optimization of workload level estimation using selection of EEG channel connectivity. - Kevin Ardian; Fumihiko Taya; Yu Sun 014; Anastasios Bezerianos; Kay Chen Tan (CEC, 2016)

Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles. - Willson Amalraj Arokiasami; Prahlad Vadakkepat; Kay Chen Tan; Dipti Srinivasan (CEC, 2016)

A novel grid-based differential evolution (DE) algorithm for many-objective optimization. - Jin Kiat Chong; Kay Chen Tan (CEC, 2016)

Maximising total weighted number of activities for reservation with slack. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (CEC, 2016)

Enhancing exploration in differential evolution via exponential recombination. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan (CEC, 2016)

A Spiking Neural Network Model for Sound Recognition. - Rong Xiao 001; Rui Yan 005; Huajin Tang; Kay Chen Tan (ICCSIP, 2016)

Multiway analysis of EEG artifacts based on Block Term Decomposition. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002; Cuntai Guan; Chuanchu Wang (IJCNN, 2016)

A time window neural network based framework for Remaining Useful Life estimation. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IJCNN, 2016)

Deep inverse regression with modified document probability for text classification. - Ruoxu Ren; Li Ma; Kay Chen Tan (IJCNN, 2016)

Training cost-sensitive Deep Belief Networks on imbalance data problems. - Chong Zhang 003; Kay Chen Tan; Ruoxu Ren (IJCNN, 2016)

Computational Intelligence for Brain Computer Interface [Guest Editorial]. - Hussein A. Abbass; Cuntai Guan; Kay Chen Tan (IEEE Comput. Intell. Mag., 2016)

CIS Publication Spotlight [Publication Spotlight]. - Haibo He; Chin-Teng Lin; Kay Chen Tan; Graham Kendall; Angelo Cangelosi (IEEE Comput. Intell. Mag., 2016)

CIS Publication Spotlight Publication Spotlight. - Haibo He; Chin-Teng Lin; Kay Chen Tan; Graham Kendall; Yaochu Jin (IEEE Comput. Intell. Mag., 2016)

How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier. - Jun Hu; Huajin Tang; Kay Chen Tan; Haizhou Li 001 (IEEE Comput. Intell. Mag., 2016)

Decomposition-based multi-objective evolutionary algorithm for vehicle routing problem with stochastic demands. - Sen Bong Gee; Willson Amalraj Arokiasami; Jing Jiang; Kay Chen Tan (Soft Comput., 2016)

Decompositional independent component analysis using multi-objective optimization. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002 (Soft Comput., 2016)

Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction. - Arrchana Muruganantham; Kay Chen Tan; Prahlad Vadakkepat (IEEE Trans. Cybern., 2016)

Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization. - Xin Qiu 001; Jian-Xin Xu 001; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Evol. Comput., 2016)

A Spiking Neural Network System for Robust Sequence Recognition. - Qiang Yu 005; Rui Yan 005; Huajin Tang; Kay Chen Tan; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Transformation of prosody in voice conversion. - Berrak Sisman; Haizhou Li 001; Kay Chen Tan (APSIPA, 2017)

Sparse representation of phonetic features for voice conversion with and without parallel data. - Berrak Sisman; Haizhou Li 001; Kay Chen Tan (ASRU, 2017)

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. - Cuie Yang; Jinliang Ding; Kay Chen Tan; Yaochu Jin (CDC, 2017)

A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. - Chong Zhang 003; Geok Soon Hong; Huan Xu; Kay Chen Tan; Jun-Hong Zhou; Hian-Leng Chan; Haizhou Li 001 (ETFA, 2017)

On the analysis and evaluation of prosody conversion techniques. - Berrak Sisman; Grandee Lee; Haizhou Li 001; Kay Chen Tan (IALP, 2017)

Decomposition based dominance relationship for evolutionary many-objective algorithm. - Lei Chen 044; Hai-Lin Liu 001; Kay Chen Tan (SSCI, 2017)

A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model. - Weinan Xu; Jianxin Xu 001; Danhua He; Kay Chen Tan (SSCI, 2017)

CIS Publication Spotlight [Publication Spotlight]. - Haibo He; Jon Garibaldi; Kay Chen Tan; Graham Kendall; Yaochu Jin (IEEE Comput. Intell. Mag., 2017)

Conference Report on 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) [Conference Reports]. - Kay Chen Tan; Gary G. Yen (IEEE Comput. Intell. Mag., 2017)

An Intelligent Packing Programming for Space Station Extravehicular Missions. - Yue-he Zhu; Yazhong Luo; Kay Chen Tan; Xin Qui (IEEE Comput. Intell. Mag., 2017)

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. - Yuan Yuan 004; Yew-Soon Ong; Liang Feng 001; A. Kai Qin; Abhishek Gupta 001; Bingshui Da; Qingfu Zhang 001; Kay Chen Tan; Yaochu Jin; Hisao Ishibuchi (CoRR, 2017)

A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization. - Sen Bong Gee; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Cybern., 2017)

Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. - Sen Bong Gee; Kay Chen Tan; Cesare Alippi (IEEE Trans. Cybern., 2017)

Multiobjective Multifactorial Optimization in Evolutionary Multitasking. - Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001; Kay Chen Tan (IEEE Trans. Cybern., 2017)

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IEEE Trans. Cybern., 2017)

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Cybern., 2017)

Multiple Exponential Recombination for Differential Evolution. - Xin Qiu 001; Kay Chen Tan; Jian-Xin Xu 001 (IEEE Trans. Cybern., 2017)

Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002; Chuanchu Wang; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph. - Ruoxu Ren; Terence Hung; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. - Pin Lim; Chi Keong Goh; Kay Chen Tan; Partha Sarathi Dutta (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. - Chong Zhang 003; Pin Lim; A. Kai Qin; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2017)

Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach - Qiang Yu 005; Huajin Tang; Jun Hu; Kay Chen Tan (Springer, 2017)

Adaptive charting genetic programming for dynamic flexible job shop scheduling. - Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (GECCO, 2018)

Solving dynamic multi-objective optimization problems via support vector machine. - Min Jiang 005; Weizhen Hu; Liming Qiu; Minghui Shi; Kay Chen Tan (ICACI, 2018)

CIS Publication Spotlight [Publication Spotlight]. - Haibo He; Jon Garibaldi; Kay Chen Tan; Graham Kendall; Yaochu Jin; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2018)

Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. - Su Nguyen; Mengjie Zhang 001; Damminda Alahakoon; Kay Chen Tan (IEEE Comput. Intell. Mag., 2018)

Special Issue of BICS 2016. - Cheng-Lin Liu 001; Amir Hussain 001; Bin Luo 001; Kay Chen Tan; Yi Zeng 001; Zhaoxiang Zhang 001 (Cogn. Comput., 2018)

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. - Chong Zhang 003; Geok Soon Hong; Jun-Hong Zhou; Kay Chen Tan; Haizhou Li 001; Huan Xu; Jihoon Hong; Hian-Leng Chan (CoRR, 2018)

Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts. - Chunjiang Zhang; Kay Chen Tan; Loo Hay Lee; Liang Gao 001 (Soft Comput., 2018)

Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. - Huajin Tang; Rui Yan 005; Kay Chen Tan (IEEE Trans. Cogn. Dev. Syst., 2018)

Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". - Huajin Tang; Rui Yan 005; Kay Chen Tan (IEEE Trans. Cogn. Dev. Syst., 2018)

A New Differential Evolution Algorithm for Minimax Optimization in Robust Design. - Xin Qiu 001; Jian-Xin Xu 001; Ying hao Xu; Kay Chen Tan (IEEE Trans. Cybern., 2018)

A Generic Deep-Learning-Based Approach for Automated Surface Inspection. - Ruoxu Ren; Terence Hung; Kay Chen Tan (IEEE Trans. Cybern., 2018)

A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. - Yajing Zheng; Shixin Li; Rui Yan 005; Huajin Tang; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework. - Willson Amalraj Arokiasami; Prahlad Vadakkepat; Kay Chen Tan; Dipti Srinivasan (Unmanned Syst., 2018)

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. - Weizhen Hu; Min Jiang 005; Xing Gao 004; Kay Chen Tan; Yiu-ming Cheung (CEC, 2019)

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. - Ke Li 001; Zilin Xiang; Kay Chen Tan (CEC, 2019)

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. - Qingxia Shang; L. Zhang; Liang Feng 001; Yaqing Hou; J. Zhong; Abhishek Gupta 001; Kay Chen Tan; H.-L. Liu (CEC, 2019)

Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. - Heba El-Fiqi; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (IJCNN, 2019)

Online Bagging for Anytime Transfer Learning. - Guokun Chi; Min Jiang 005; Xing Gao 004; Weizhen Hu; Shihui Guo; Kay Chen Tan (SSCI, 2019)

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning. - Zhenzhong Wang; Min Jiang 005; Xing Gao 004; Liang Feng 001; Weizhen Hu; Kay Chen Tan (SSCI, 2019)

Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution. - Weinan Xu; Weng Kee Wong; Kay Chen Tan; Jianxin Xu 001 (IEEE Access, 2019)

Deep infrared pedestrian classification based on automatic image matting. - Yihui Liang; Han Huang 002; Zhaoquan Cai 001; Zhifeng Hao; Kay Chen Tan (Appl. Soft Comput., 2019)

CIS Publication Spotlight [Publication Spotlight]. - Haibo He; Jon Garibaldi; Kay Chen Tan; Julian Togelius; Yaochu Jin; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2019)

CIS Publication Spotlight [Publication Spotlight]. - Haibo He; Jon Garibaldi; Kay Chen Tan; Julian Togelius; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2019)

Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. - Qiang Yu 005; Yanli Yao; Longbiao Wang; Huajin Tang; Jianwu Dang 001; Kay Chen Tan (CoRR, 2019)

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. - Jibin Wu; Yansong Chua; Malu Zhang; Guoqi Li; Haizhou Li 001; Kay Chen Tan (CoRR, 2019)

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). - Cheng He 001; Shihua Huang; Ran Cheng; Kay Chen Tan; Yaochu Jin (CoRR, 2019)

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. - Jibin Wu; Emre Yilmaz 001; Malu Zhang; Haizhou Li 001; Kay Chen Tan (CoRR, 2019)

Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity. - Qiang Yu 005; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Cybern., 2019)

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship. - Lei Chen 044; Hai-Lin Liu 001; Kay Chen Tan; Yiu-Ming Cheung; Yuping Wang 003 (IEEE Trans. Cybern., 2019)

Evolutionary Multitasking via Explicit Autoencoding. - Liang Feng 001; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Yew-Soon Ong; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2019)

Multiobjective Sparse Non-Negative Matrix Factorization. - Maoguo Gong; Xiangming Jiang; Hao Li 009; Kay Chen Tan (IEEE Trans. Cybern., 2019)

An Evolutionary Constraint-Handling Technique for Parametric Optimization of a Cancer Immunotherapy Model. - Weinan Xu; Jianxin Xu 001; Danhua He; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

A Cost-Sensitive Deep Belief Network for Imbalanced Classification. - Chong Zhang 003; Kay Chen Tan; Haizhou Li 001; Geok Soon Hong (IEEE Trans. Neural Networks Learn. Syst., 2019)

QoS-Aware Web Service Selection with Internal Complementarity. - Xinle Liang; A. Kai Qin; Ke Tang 001; Kay Chen Tan (IEEE Trans. Serv. Comput., 2019)

Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. - Xuezhou Fan; Ke Li 001; Kay Chen Tan (CEC, 2020)

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. - Yinglan Feng; Liang Feng 001; Yaqing Hou; Kay Chen Tan (CEC, 2020)

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. - Zhenyao Zhao; Min Jiang 005; Shihui Guo; Zhenzhong Wang; Fei Chao 001; Kay Chen Tan (CEC, 2020)

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (ICSE, 2020)

Multi-label Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Kay Chen Tan (IJCAI, 2020)

Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. - Zhi-An Huang; Rui Liu 038; Kay Chen Tan (IJCNN, 2020)

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. - Ke Li 001; Zilin Xiang; Tao Chen 001; Kay Chen Tan (ASE, 2020)

Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]. - Mengjie Zhang 001; Kay Chen Tan (IEEE Comput. Intell. Mag., 2020)

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (CoRR, 2020)

Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. - Qiang Yu 005; Shenglan Li; Huajin Tang; Longbiao Wang; Jianwu Dang 001; Kay Chen Tan (CoRR, 2020)

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Daquan Zhou; Haizhou Li 001; Kay Chen Tan (CoRR, 2020)

Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains. - Min Jiang 005; Guokun Chi; Geqiang Pan; Shihui Guo; Kay Chen Tan (CoRR, 2020)

An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. - Songbai Liu; Qiyuan Yu; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2020)

Fast hypervolume approximation scheme based on a segmentation strategy. - Weisen Tang; Hai-Lin Liu 001; Lei Chen 044; Kay Chen Tan; Yiu-ming Cheung (Inf. Sci., 2020)

Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. - Zizhao Zhang; Weng Kee Wong; Kay Chen Tan (Memetic Comput., 2020)

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. - Ye Tian 009; Shichen Peng; Xingyi Zhang 001; Tobias Rodemann; Kay Chen Tan; Yaochu Jin (IEEE Trans. Artif. Intell., 2020)

Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions. - Yiu-ming Cheung; Fangqing Gu; Hai-Lin Liu 001; Kay Chen Tan; Han Huang 002 (IEEE Trans. Cybern., 2020)

A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. - Linqiang Pan; Lianghao Li; Cheng He 001; Kay Chen Tan (IEEE Trans. Cybern., 2020)

A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization. - Rethnaraj Rambabu; Prahlad Vadakkepat; Kay Chen Tan; Min Jiang 005 (IEEE Trans. Cybern., 2020)

Bipartite Differential Neural Network for Unsupervised Image Change Detection. - Jia Liu 020; Maoguo Gong; A. Kai Qin; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-Ming Cheung; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. - Yinglan Feng; Liang Feng 001; Yaqing Hou; Kay Chen Tan; Sam Kwong (CEC, 2021)

A Survey of Advances in Evolutionary Neural Architecture Search. - Xun Zhou; A. Kai Qin; Yanan Sun 001; Kay Chen Tan (CEC, 2021)

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Kay Chen Tan (EMO, 2021)

[Guest Editorial]. - Liang Feng 001; Handing Wang; Yew-Soon Ong; Kay Chen Tan; Yaochu Jin (IEEE Comput. Intell. Mag., 2021)

Forecasting Wind Speed Time Series Via Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Comput. Intell. Mag., 2021)

IEEE CIS VP-Publications Vision Statement [Society Briefs]. - Kay Chen Tan (IEEE Comput. Intell. Mag., 2021)

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research. - Kay Chen Tan; Liang Feng 001; Min Jiang 005 (IEEE Comput. Intell. Mag., 2021)

Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Min Jiang 005; Kay Chen Tan (CoRR, 2021)

Multi-Space Evolutionary Search for Large-Scale Optimization. - Liang Feng 001; Qingxia Shang; Yaqing Hou; Kay Chen Tan; Yew-Soon Ong (CoRR, 2021)

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. - Ye Tian 009; Xingyi Zhang 001; Cheng He 001; Kay Chen Tan; Yaochu Jin (CoRR, 2021)

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Donglin Cao; Kay Chen Tan (CoRR, 2021)

Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Qing Li 001 (CoRR, 2021)

HuRAI: A brain-inspired computational model for human-robot auditory interface. - Jibin Wu; Qi Liu 005; Malu Zhang; Zihan Pan; Haizhou Li 001; Kay Chen Tan (Neurocomputing, 2021)

Evolutionary multi and many-objective optimization via clustering for environmental selection. - Songbai Liu; Junhao Zheng; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2021)

A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Qingda Chen (Memetic Comput., 2021)

On the channel density of EEG signals for reliable biometric recognition. - Min Wang 009; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (Pattern Recognit. Lett., 2021)

A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. - Xinye Cai; Wenxue Sun; Mustafa Misir; Kay Chen Tan; Xiaoping Li 001; Tao Xu; Zhun Fan (IEEE Trans. Cybern., 2021)

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. - Liang Feng 001; Yuxiao Huang; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Ke Tang 001; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. - Liang Feng 001; Lei Zhou 020; Abhishek Gupta 001; Jinghui Zhong; Zexuan Zhu; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2021)

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). - Cheng He 001; Shihua Huang; Ran Cheng; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2021)

Individual-Based Transfer Learning for Dynamic Multiobjective Optimization. - Min Jiang 005; Zhenzhong Wang; Shihui Guo; Xing Gao 004; Kay Chen Tan (IEEE Trans. Cybern., 2021)

A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning. - Min Jiang 005; Zhenzhong Wang; Liming Qiu; Shihui Guo; Xing Gao 004; Kay Chen Tan (IEEE Trans. Cybern., 2021)

An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization. - Jiabin Lin; Hai-Lin Liu 001; Kay Chen Tan; Fangqing Gu (IEEE Trans. Cybern., 2021)

People-Centric Evolutionary System for Dynamic Production Scheduling. - Su Nguyen; Mengjie Zhang 001; Damminda Alahakoon; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. - Linqiang Pan; Lianghao Li; Ran Cheng; Cheng He 001; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. - Ye Tian 009; Chang Lu; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2021)

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. - Lei Zhou 020; Liang Feng 001; Kay Chen Tan; Jinghui Zhong; Zexuan Zhu; Kai Liu 001; Chao Chen 004 (IEEE Trans. Cybern., 2021)

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. - Cheng He 001; Ran Cheng; Ye Tian 009; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2021)

A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. - Su Nguyen; Dhananjay Raghavan Thiruvady; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. - Ye Tian 009; Ruchen Liu; Xingyi Zhang 001; Haiping Ma; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2021)

Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

A Survey on Evolutionary Construction of Deep Neural Networks. - Xun Zhou; A. Kai Qin; Maoguo Gong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations. - Lyuyang Tong; Bo Du 001; Rong Liu; Liangpei Zhang 001; Kay Chen Tan (IEEE Trans. Geosci. Remote. Sens., 2021)

Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. - Maoguo Gong; Jia Liu 020; A. Kai Qin; Kun Zhao; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network. - Zhi-An Huang; Zexuan Zhu; Chuen Heung Yau; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. - Zhi-An Huang; Jia Zhang; Zexuan Zhu; Edmond Qi Wu; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Numerical Spiking Neural P Systems. - Tingfang Wu; Linqiang Pan; Qiang Yu 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. - Qiang Yu 005; Yanli Yao; Longbiao Wang; Huajin Tang; Jianwu Dang 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. - Haokai Hong; Min Jiang 005; Liang Feng 001; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. - Songbai Liu; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

Crowd Counting in the Frequency Domain. - Weibo Shu; Jia Wan 001; Kay Chen Tan; Sam Kwong; Antoni B. Chan (CVPR, 2022)

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Linqi Song; Kay Chen Tan (IJCNN, 2022)

A survey, taxonomy and progress evaluation of three decades of swarm optimisation. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Kay Chen Tan; Hussein A. Abbass (Artif. Intell. Rev., 2022)

A survey on evolutionary computation for complex continuous optimization. - Zhi-Hui Zhan; Lin Shi; Kay Chen Tan; Jun Zhang 003 (Artif. Intell. Rev., 2022)

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. - Jiaxin Li; Dengju Li; Runhao Jiang; Rong Xiao 001; Huajin Tang; Kay Chen Tan (IEEE Comput. Intell. Mag., 2022)

Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]. - Yansen Su; Zhongxiang Jin; Ye Tian 009; Xingyi Zhang 001; Kay Chen Tan (IEEE Comput. Intell. Mag., 2022)

Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. - Xiangning Xie; Yuqiao Liu 002; Yanan Sun 001; Mengjie Zhang 001; Kay Chen Tan (CoRR, 2022)

Differentiable Search of Accurate and Robust Architectures. - Yuwei Ou; Xiangning Xie; Shangce Gao; Yanan Sun 001; Kay Chen Tan; Jiancheng Lv 001 (CoRR, 2022)

Evolutionary Large-Scale Multi-Objective Optimization: A Survey. - Ye Tian 009; Langchun Si; Xingyi Zhang 001; Ran Cheng; Cheng He 001; Kay Chen Tan; Yaochu Jin (ACM Comput. Surv., 2022)

Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. - Ye Tian 009; Haowen Chen; Haiping Ma; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE CAA J. Autom. Sinica, 2022)

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman; Kay Chen Tan (Knowl. Based Syst., 2022)

Solving large-scale multiobjective optimization via the probabilistic prediction model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Donglin Cao; Kay Chen Tan (Memetic Comput., 2022)

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Xiao Han; Daquan Zhou; Malu Zhang; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Action Command Encoding for Surrogate-Assisted Neural Architecture Search. - Ye Tian 009; Shichen Peng; Shangshang Yang; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cogn. Dev. Syst., 2022)

Weighted Gate Layer Autoencoders. - Heba El-Fiqi; Min Wang 009; Kathryn Kasmarik; Anastasios Bezerianos; Kay Chen Tan; Hussein A. Abbass (IEEE Trans. Cybern., 2022)

Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. - Liang Feng 001; Wei Zhou 001; Weichen Liu; Yew-Soon Ong; Kay Chen Tan (IEEE Trans. Cybern., 2022)

A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Cybern., 2022)

A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Cybern., 2022)

A Multiobjective Framework for Many-Objective Optimization. - Si-Chen Liu 001; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Cybern., 2022)

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. - Zedong Tang; Maoguo Gong; Yue Wu 004; A. Kai Qin; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. - Ye Tian 009; Yajie Zhang; Yansen Su; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2022)

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. - Xiaoming Xue; Kai Zhang 029; Kay Chen Tan; Liang Feng 001; Jian Wang 010; Guodong Chen 002; Xinggang Zhao; Liming Zhang; Jun Yao (IEEE Trans. Cybern., 2022)

Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. - Qiang Yu 005; Shenglan Li; Huajin Tang; Longbiao Wang; Jianwu Dang 001; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. - Huan Zhang 016; Jinliang Ding; Min Jiang 005; Kay Chen Tan; Tianyou Chai (IEEE Trans. Cybern., 2022)

Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. - Chunjiang Zhang; Liang Gao 001; Xinyu Li 001; Weiming Shen 001; Jiajun Zhou; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. - Jia Zhang; Shaozi Li; Min Jiang 005; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. - Lei Chen 044; Hai-Lin Liu 001; Kay Chen Tan; Ke Li 001 (IEEE Trans. Evol. Comput., 2022)

A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. - Yinglan Feng; Liang Feng 001; Sam Kwong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. - Yuxiao Huang; Liang Feng 001; Alex Kai Qin; Meng Chen; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. - Jianqiang Li 001; Tao Sun; Qiuzhen Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization. - Jian-Yu Li; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2022)

A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. - Ye Tian 009; Yuandong Feng; Chao Wang 039; Ruifen Cao; Xingyi Zhang 001; Xi Pei; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2022)

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. - Xiaoming Xue; Cuie Yang; Yao Hu 001; Kai Zhang 029; Yiu-Ming Cheung; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. - Wei Zhou 001; Liang Feng 001; Kay Chen Tan; Min Jiang 005; Yong Liu 020 (IEEE Trans. Evol. Comput., 2022)

Evolutionary Architectural Search for Generative Adversarial Networks. - Qiuzhen Lin; Zhixiong Fang; Yi Chen 020; Kay Chen Tan; Yun Li 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. - Liang Feng 001; Yuxiao Huang; Ivor W. Tsang; Abhishek Gupta 001; Ke Tang 001; Kay Chen Tan; Yew-Soon Ong (IEEE Trans. Intell. Transp. Syst., 2022)

A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics. - Jian-Yu Li; Xinyi Deng; Zhi-Hui Zhan; Liang Yu; Kay Chen Tan; Kuei-Kuei Lai; Jun Zhang 003 (IEEE Trans. Intell. Transp. Syst., 2022)

Concept Drift-Tolerant Transfer Learning in Dynamic Environments. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. - Shangshang Yang; Ye Tian 009; Cheng He 001; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. - Qiang Yu 005; Chenxiang Ma; Shiming Song 001; Gaoyan Zhang; Jianwu Dang 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Synaptic Learning With Augmented Spikes. - Qiang Yu 005; Shiming Song 001; Chenxiang Ma; Linqiang Pan; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. - Qiang Yu 005; Shiming Song 001; Chenxiang Ma; Jianguo Wei; Shengyong Chen; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Qing Li 001; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. - Chunjiang Zhang; A. Kai Qin; Weiming Shen 001; Liang Gao 001; Kay Chen Tan; Xinyu Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. - Zhenzhong Wang; Lulu Cao; Wanyu Lin; Min Jiang 005; Kay Chen Tan (AAAI, 2023)

BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration. - Junjia Liu; Hengyi Sim; Chenzui Li; Kay Chen Tan; Fei Chen 007 (CDC, 2023)

A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. - Xun Zhou; Songbai Liu; Ka-Chun Wong; Qiuzhen Lin; Kay Chen Tan (ICMLC, 2023)

SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. - Junjia Liu; Zhihao Li; Wanyu Lin; Sylvain Calinon; Kay Chen Tan; Fei Chen 007 (IROS, 2023)

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. - Beichen Huang; Ran Cheng; Yaochu Jin; Kay Chen Tan (CoRR, 2023)

A Recommender System Approach for Very Large-scale Multiobjective Optimization. - Haokai Hong; Min Jiang 005; Jonathan M. Garibaldi; Qiuzhen Lin; Kay Chen Tan (CoRR, 2023)

Long Short-term Memory with Two-Compartment Spiking Neuron. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; Kay Chen Tan (CoRR, 2023)

Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. - Xinyi Chen; Jibin Wu; Huajin Tang; Qinyuan Ren; Kay Chen Tan (CoRR, 2023)

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. - Xiang Hao; Jibin Wu; Jianwei Yu; Chenglin Xu; Kay Chen Tan (CoRR, 2023)

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. - Qu Yang; Malu Zhang; Jibin Wu; Kay Chen Tan; Haizhou Li 001 (CoRR, 2023)

AS-LLM: When Algorithm Selection Meets Large Language Model. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Kay Chen Tan (CoRR, 2023)

Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 2023)

An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. - Lingjie Li; Manlin Xuan; Qiuzhen Lin; Min Jiang 005; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Evolutionary Multitasking for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Liang Feng 001; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Qing Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. - Kangjia Qiao; Kunjie Yu; Boyang Qu; Jing Liang 005; Hui Song; Caitong Yue; Hongyu Lin; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. - Jibin Wu; Yansong Chua; Malu Zhang; Guoqi Li; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Local Model-Based Pareto Front Estimation for Multiobjective Optimization. - Ye Tian 009; Langchun Si; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. - Liang Feng 001; Qingxia Shang; Yaqing Hou; Kay Chen Tan; Yew-Soon Ong (IEEE Trans. Artif. Intell., 2023)

Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Orthogonal Transfer for Multitask Optimization. - Sheng-Hao Wu; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2023)

A Survey on Evolutionary Neural Architecture Search. - Yuqiao Liu 002; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. - Zhi-An Huang; Yao Hu 001; Rui Liu 038; Xiaoming Xue; Zexuan Zhu; Linqi Song; Kay Chen Tan (IEEE Trans. Biomed. Eng., 2023)

Optimizing Niche Center for Multimodal Optimization Problems. - Yi Jiang; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Cybern., 2023)

A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems. - Weizhong Wang; Hai-Lin Liu 001; Kay Chen Tan (IEEE Trans. Cybern., 2023)

A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. - Hongyan Chen; Hai-Lin Liu 001; Fangqing Gu; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

A Survey on Evolutionary Constrained Multiobjective Optimization. - Jing J. Liang; Xuanxuan Ban; Kunjie Yu; Boyang Qu; Kangjia Qiao; Caitong Yue; Ke Chen; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Event-driven spiking neural networks with spike-based learning. - Limiao Ning; Junfei Dong; Rong Xiao 001; Kay Chen Tan; Huajin Tang (Memetic Comput., 2023)

Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization. - Jian-Yu Li; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Cybern., 2023)

Communication Efficient Federated Learning With Heterogeneous Structured Client Models. - Yao Hu 001; Xiaoyan Sun 002; Ye Tian 009; Linqi Song; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Learning Adaptive Differential Evolution by Natural Evolution Strategies. - Haotian Zhang; Jianyong Sun; Kay Chen Tan; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. - Ye Tian 009; Xiaopeng Li; Haiping Ma; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Guang-En Zhang; Min Jiang 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. - Xunfeng Wu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan; Victor C. M. Leung (IEEE Trans. Cybern., 2023)

Graph-Based Class-Imbalance Learning With Label Enhancement. - Guodong Du 002; Jia Zhang; Min Jiang 005; Jinyi Long; Yaojin Lin; Shaozi Li; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space. - Yuxiao Huang; Liang Feng 001; Min Li; Yu Wang 108; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. - Yuchao Su; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Cybern., 2023)

A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization. - Yi Jiang; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2023)

Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Xiaoyan Sun 002; Linqi Song; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. - Hui Bai; Ran Cheng; Danial Yazdani; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2023)

Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. - Junkai Ji; Jiajun Zhao; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 2023)

Transferable Adaptive Differential Evolution for Many-Task Optimization. - Sheng-Hao Wu; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Cybern., 2023)

A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. - Junwei Dong; Boyu Hou; Liang Feng 001; Huajin Tang; Kay Chen Tan; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. - Fangfang Zhang 003; Yi Mei 001; Su Nguyen; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Improving Multispike Learning With Plastic Synaptic Delays. - Qiang Yu 005; Jialu Gao; Jianguo Wei; Jing Li; Kay Chen Tan; Tie-Jun Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. - Lulu Cao; Yufei Liu 003; Zhenzhong Wang; Dejun Xu; Kai Ye 005; Kay Chen Tan; Min Jiang 005 (AAAI, 2024)

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (AAAI, 2024)

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; Kay Chen Tan (AAAI, 2024)

Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. - Xuan Duan; Songbai Liu; Junkai Ji; Lingjie Li; Qiuzhen Lin; Kay Chen Tan (CEC, 2024)

A Review on Evolutionary Multiform Transfer Optimization. - Yinglan Feng; Liang Feng 001; Xiaoming Xue; Sam Kwong; Kay Chen Tan (CEC, 2024)

Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. - Xiaoming Xue; Liang Feng 001; Cuie Yang; Songbai Liu; Linqi Song; Kay Chen Tan (CEC, 2024)

Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. - Xin-Yu Wang; Qi-Te Yang; Yi Jiang; Kay Chen Tan; Jun Zhang 003; Zhi-Hui Zhan (GECCO, 2024)

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. - Zeyi Wang; Songbai Liu; Jianyong Chen; Kay Chen Tan (ICIC (2), 2024)

Scaling Supervised Local Learning with Augmented Auxiliary Networks. - Chenxiang Ma; Jibin Wu; Chenyang Si; Kay Chen Tan (ICLR, 2024)

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Bingbing Jiang 001; Kay Chen Tan (IJCAI, 2024)

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. - Yao Hu 001; Rui Liu 038; Jiaqi Zhang; Zhi-An Huang; Linqi Song; Kay Chen Tan (IJCNN, 2024)

Personalized Federated Learning with Enhanced Implicit Generalization. - Heping Liu; Songbai Liu; Junkai Ji; Qiuzhen Lin; Jianyong Chen; Kay Chen Tan (IJCNN, 2024)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. - Yujia Yin; Xinyi Chen; Chenxiang Ma; Jibin Wu; Kay Chen Tan (IJCNN, 2024)

Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. - Ruofan Yan; Shu Peng; Zhige Chen; Zhi-An Huang; Rui Liu 038; Kay Chen Tan; Jibin Wu (ISCSLP, 2024)

Mixed Prototype Correction for Causal Inference in Medical Image Classification. - Yajie Zhang; Zhi-An Huang; Zhiliang Hong; Songsong Wu; Jibin Wu; Kay Chen Tan (ACM Multimedia, 2024)

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems. - Yuxiao Huang; Wenjie Zhang; Liang Feng 001; Xingyu Wu; Kay Chen Tan (CoRR, 2024)

Diffusion-Driven Domain Adaptation for Generating 3D Molecules. - Haokai Hong; Wanyu Lin; Kay Chen Tan (CoRR, 2024)

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. - Beichen Huang; Xingyu Wu; Yu Zhou; Jibin Wu; Liang Feng 001; Ran Cheng; Kay Chen Tan (CoRR, 2024)

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. - Yu Zhou; Xingyu Wu; Beicheng Huang; Jibin Wu; Liang Feng 001; Kay Chen Tan (CoRR, 2024)

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (CoRR, 2024)

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Yuxiao Huang; Sheng-Hao Wu; Kay Chen Tan (CoRR, 2024)

Fast 3D Molecule Generation via Unified Geometric Optimal Transport. - Haokai Hong; Wanyu Lin; Kay Chen Tan (CoRR, 2024)

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. - Zhenzhong Wang; Zehui Lin; Wanyu Lin; Ming Yang; Minggang Zeng; Kay Chen Tan (CoRR, 2024)

Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. - Yuxiao Huang; Sheng-Hao Wu; Wenjie Zhang; Jibin Wu; Liang Feng 001; Kay Chen Tan (CoRR, 2024)

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. - Xiaoming Xue; Yao Hu 001; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (CoRR, 2024)

Crystalline Material Discovery in the Era of Artificial Intelligence. - Zhenzhong Wang; Haowei Hua; Wanyu Lin; Ming Yang; Kay Chen Tan (CoRR, 2024)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. - Xinyi Chen; Jibin Wu; Chenxiang Ma; Yinsong Yan; Yujie Wu 002; Kay Chen Tan (CoRR, 2024)

Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. - Yuxiao Huang; Xuebin Lv; Sheng-Hao Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (CoRR, 2024)

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. - Yu Zhou; Xingyu Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (CoRR, 2024)

Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. - Xiang Hao; Chenxiang Ma; Qu Yang; Jibin Wu; Kay Chen Tan (CoRR, 2024)

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. - Zeyuan Ma; Hongshu Guo; Yue-Jiao Gong; Jun Zhang 003; Kay Chen Tan (CoRR, 2024)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (CoRR, 2024)

Towards multi-objective high-dimensional feature selection via evolutionary multitasking. - Yinglan Feng; Liang Feng 001; Songbai Liu; Sam Kwong; Kay Chen Tan (Swarm Evol. Comput., 2024)

Block-Level Knowledge Transfer for Evolutionary Multitask Optimization. - Yi Jiang; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Cybern., 2024)

Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. - Cheng He 001; Ran Cheng; Lianghao Li; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2024)

Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. - Yue Wu 004; Hangqi Ding; Maoguo Gong; A. Kai Qin; Wenping Ma 001; Qiguang Miao; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. - Qiuzhen Lin; Yulong Ye; Lijia Ma; Min Jiang 005; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Architecture Augmentation for Performance Predictor via Graph Isomorphism. - Xiangning Xie; Yanan Sun 001; Yuqiao Liu 002; Mengjie Zhang 001; Kay Chen Tan (IEEE Trans. Cybern., 2024)

Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. - Wu Lin; Qiuzhen Lin; Liang Feng 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. - Zhichao Lu; Ran Cheng; Yaochu Jin; Kay Chen Tan; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2024)

A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. - Jianping Luo; YongFei Dong; Qiqi Liu; Zexuan Zhu; Wenming Cao 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Jinyi Long; Jian Weng 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. - Xinyi Chen; Qu Yang; Jibin Wu; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. - Cuie Yang; Bing Xue 001; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. - Lei Chen 044; Hai-Lin Liu 001; Ke Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Toward Evolutionary Multitask Convolutional Neural Architecture Search. - Xun Zhou; Zhenkun Wang 001; Liang Feng 001; Songbai Liu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. - Gengzhi Zhang; Liang Feng 001; Yu Wang 108; Min Li; Hong Xie 004; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. - Zhi-An Huang; Rui Liu 038; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. - Jiaxin Chen; Jinliang Ding; Ke Li 001; Kay Chen Tan; Tianyou Chai (IEEE Trans. Cybern., 2024)

Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. - Kailai Gao; Cuie Yang; Jinliang Ding; Kay Chen Tan; Tianyou Chai (IEEE Trans. Evol. Comput., 2024)

Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Jianqiang Li 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. - Qu Yang; Malu Zhang; Jibin Wu; Kay Chen Tan; Haizhou Li 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization. - Yuxiao Huang; Wei Zhou 001; Yu Wang 108; Min Li; Liang Feng 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Intell. Transp. Syst., 2024)

Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation". - Lei Zhou 020; Liang Feng 001; Kay Chen Tan; Jinghui Zhong; Zexuan Zhu; Kai Liu 001; Chao Chen 004 (IEEE Trans. Cybern., 2024)

Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. - Huan Zhang 016; Jinliang Ding; Liang Feng 001; Kay Chen Tan; Ke Li 001 (IEEE Trans. Cybern., 2024)

A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization. - Yinglan Feng; Liang Feng 001; Sam Kwong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. - Xiaoming Xue; Cuie Yang; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. - Haokai Hong; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Lei Huang; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. - Lulu Cao; Zexin Lin; Kay Chen Tan; Min Jiang 005 (AAAI, 2025)

Design Principle Transfer in Neural Architecture Search via Large Language Models. - Xun Zhou; Xingyu Wu; Liang Feng 001; Zhichao Lu; Kay Chen Tan (AAAI, 2025)

NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. - Lulu Cao; Yinglan Feng; Min Jiang 005; Kay Chen Tan (CEC, 2025)

A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. - Cheng Chen; Haokai Hong; Wanyu Lin; Kay Chen Tan (CEC, 2025)

A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. - Xiaoming Xue; Liang Feng 001; Yinglan Feng; Rui Liu 038; Kai Zhang 029; Kay Chen Tan (CEC, 2025)

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. - Jihong Wan; Xiaoping Li 001; Pengfei Zhang 016; Hongmei Chen 001; Xiaocao Ouyang; Tianrui Li 001; Kay Chen Tan (Inf. Fusion, 2025)

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. - Yajie Zhang; Yu-An Huang; Yao Hu 001; Rui Liu 038; Jibin Wu; Zhi-An Huang; Kay Chen Tan (Medical Image Anal., 2025)

A dual model-based evolutionary framework for dynamic large-scale sparse multiobjective optimization. - Panpan Zhang; Ru Zhang; Ye Tian 009; Kay Chen Tan; Xingyi Zhang 001 (Swarm Evol. Comput., 2025)

Traffic Flow Dataset for "Traffic Signal Timing Optimization: From Evolution to Adaptation". - Sheng-Hao Wu; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (Zenodo, 2025)

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. - Yuxin Ma; Zherui Zhang; Ran Cheng; Yaochu Jin; Kay Chen Tan (CoRR, 2025)

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. - Bowen Zheng; Ran Cheng; Kay Chen Tan (CoRR, 2025)

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. - Yuxin Ma; Zherui Zhang; Ran Cheng; Yaochu Jin; Kay Chen Tan (IEEE Comput. Intell. Mag., 2025)

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. - Yu-An Huang; Yao Hu 001; Yue-Chao Li; Xiyue Cao; Xinyuan Li; Kay Chen Tan; Zhu-Hong You; Zhi-An Huang (CoRR, 2025)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. - Chenxiang Ma; Xinyi Chen; Yanchen Li; Qu Yang; Yujie Wu 002; Guoqi Li; Gang Pan 001; Huajin Tang; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Knowledge Learning for Evolutionary Computation. - Yi Jiang; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2025)

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy. - Zhenzhong Wang; Lulu Cao; Liang Feng 001; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. - Qingling Zhu; Yaojian Xu; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. - Rui Liu 038; Yao Hu 001; Jibin Wu; Ka-Chun Wong; Zhi-An Huang; Yu-An Huang; Kay Chen Tan (IEEE Trans. Cybern., 2025)

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model. - Zongxian Yang; Jiayu Qian; Zhi-An Huang; Kay Chen Tan (CoRR, 2025)

Knowledge Structure Preserving-Based Evolutionary Many-Task Optimization. - Yi Jiang; Zhi-Hui Zhan; Kay Chen Tan; Sam Kwong; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2025)

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. - Xingyu Wu; Sheng-Hao Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Evolutionary Neural Architecture Search for Transferable Networks. - Xun Zhou; Songbai Liu; A. Kai Qin; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation. - Liu-Yue Luo; Zhi-Hui Zhan; Kay Chen Tan; Jun Zhang 003 (CoRR, 2025)

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. - Xinyi Chen; Chenxiang Ma; Yujie Wu 002; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Diversity-Aware Policy Optimization for Large Language Model Reasoning. - Jian Yao; Ran Cheng; Xingyu Wu; Jibin Wu; Kay Chen Tan (CoRR, 2025)

A Scalable Test Problem Generator for Sequential Transfer Optimization. - Xiaoming Xue; Cuie Yang; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (IEEE Trans. Cybern., 2025)

REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search. - Yuqi Feng; Yanan Sun 001; Gary G. Yen; Kay Chen Tan (IEEE Trans. Knowl. Data Eng., 2025)

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. - Xingyu Wu; Kui Yu; Jibin Wu; Kay Chen Tan (CoRR, 2025)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks. - Chenxiang Ma; Xinyi Chen; Kay Chen Tan; Jibin Wu (CoRR, 2025)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. - Beichen Huang; Ran Cheng; Kay Chen Tan (CoRR, 2025)

A Survey on Evolutionary Computation-Based Drug Discovery. - Qiyuan Yu; Qiuzhen Lin; Junkai Ji; Wei Zhou 001; Shan He 001; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data. - Zhenzhong Wang; Qingyuan Zeng; Wanyu Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)

VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks. - Jian Yao; Ran Cheng; Kay Chen Tan (CoRR, 2025)

Learning to Transfer for Evolutionary Multitasking. - Sheng-Hao Wu; Yuxiao Huang; Xingyu Wu; Liang Feng 001; Zhi-Hui Zhan; Kay Chen Tan (IEEE Trans. Cybern., 2025)

Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles. - Zhi-An Huang; Pengwei Hu 001; Lun Hu; Zhu-Hong You; Kay Chen Tan; Yu-An Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Distributed Evolutionary Computation. - Feng-Feng Wei; Wei-Neng Chen; Tian-Fang Zhao; Kay Chen Tan; Jun Zhang 003 (IEEE Comput. Intell. Mag., 2025)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. - Kebin Sun; Tao Jiang; Ran Cheng; Yaochu Jin; Kay Chen Tan (CoRR, 2025)

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. - Qingyuan Zeng; Shu Jiang; Jiajing Lin; Zhenzhong Wang; Kay Chen Tan; Min Jiang 005 (CoRR, 2025)

Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization. - Chenming Cao; Kai Zhang 029; Xiaoming Xue; Kay Chen Tan; Jian Wang 010; Liming Zhang; Piyang Liu; Xia Yan (IEEE Trans. Evol. Comput., 2025)

Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. - Linqiang Pan; Jianqing Lin; Handing Wang; Cheng He 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2025)

Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization. - Yulong Ye; Songbai Liu; Junwei Zhou 002; Qiuzhen Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning. - Yajie Zhang; Yao Hu 001; Chengjun Cai; Yu-An Huang; Zhi-An Huang; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)

MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (IEEE Trans. Software Eng., 2025)