| 2026 | AAAI | Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes. | Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan |
| 2026 | AAAI | 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 |
| 2026 | ACL | Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models. | Xingyu Wu, Yu Zhou, Kay Chen Tan |
| 2025 | AAAI | Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. | Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang |
| 2025 | AAAI | Design Principle Transfer in Neural Architecture Search via Large Language Models. | Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan |
| 2025 | CEC | NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. | Lulu Cao, Yinglan Feng, Min Jiang, Kay Chen Tan |
| 2025 | CEC | A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. | Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan |
| 2025 | CEC | A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. | Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan |
| 2025 | IJCAI | Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. | Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu |
| 2024 | AAAI | An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. | Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang |
| 2024 | AAAI | Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. | Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2024 | AAAI | TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. | Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan |
| 2024 | CEC | Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. | Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan |
| 2024 | CEC | A Review on Evolutionary Multiform Transfer Optimization. | Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan |
| 2024 | CEC | Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. | Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan |
| 2024 | GECCO | 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, Zhi-Hui Zhan |
| 2024 | ICLR | Scaling Supervised Local Learning with Augmented Auxiliary Networks. | Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan |
| 2024 | IJCAI | Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. | Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan |
| 2024 | IJCNN | Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. | Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan |
| 2024 | IJCNN | Personalized Federated Learning with Enhanced Implicit Generalization. | Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan |
| 2024 | IJCNN | Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. | Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan |
| 2023 | AAAI | Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. | Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2023 | IROS | 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 |
| 2022 | CEC | Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. | Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan |
| 2022 | CEC | Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. | Songbai Liu, Min Jiang, Qiuzhen Lin, Kay Chen Tan |
| 2022 | CVPR | Crowd Counting in the Frequency Domain. | Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan |
| 2022 | IJCNN | A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. | Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan |
| 2021 | CEC | EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. | Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong |
| 2021 | CEC | A Survey of Advances in Evolutionary Neural Architecture Search. | Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan |
| 2021 | EMO | Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. | Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan |
| 2020 | CEC | Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. | Xuezhou Fan, Ke Li, Kay Chen Tan |
| 2020 | CEC | Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. | Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan |
| 2020 | CEC | Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. | Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan |
| 2020 | IJCAI | Multi-label Feature Selection via Global Relevance and Redundancy Optimization. | Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan |
| 2020 | IJCNN | Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. | Zhi-An Huang, Rui Liu, Kay Chen Tan |
| 2020 | ICSE | Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. | Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan |
| 2019 | CEC | Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. | Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung |
| 2019 | CEC | Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. | Ke Li, Zilin Xiang, Kay Chen Tan |
| 2019 | CEC | A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. | Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu |
| 2019 | IJCNN | Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. | Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass |
| 2018 | GECCO | Adaptive charting genetic programming for dynamic flexible job shop scheduling. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2017 | ASRU | Sparse representation of phonetic features for voice conversion with and without parallel data. | Berrak Sisman, Haizhou Li, Kay Chen Tan |
| 2017 | ETFA | A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. | Chong Zhang, Geok Soon Hong, Huan Xu, Kay Chen Tan, Jun-Hong Zhou, Hian-Leng Chan, Haizhou Li |
| 2016 | CEC | Optimization of workload level estimation using selection of EEG channel connectivity. | Kevin Ardian, Fumihiko Taya, Yu Sun, Anastasios Bezerianos, Kay Chen Tan |
| 2016 | CEC | Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles. | Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan |
| 2016 | CEC | A novel grid-based differential evolution (DE) algorithm for many-objective optimization. | Jin Kiat Chong, Kay Chen Tan |
| 2016 | CEC | Maximising total weighted number of activities for reservation with slack. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2016 | CEC | Enhancing exploration in differential evolution via exponential recombination. | Xin Qiu, Jian-Xin Xu, Kay Chen Tan |
| 2016 | IJCNN | Multiway analysis of EEG artifacts based on Block Term Decomposition. | Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang |
| 2016 | IJCNN | A time window neural network based framework for Remaining Useful Life estimation. | Pin Lim, Chi Keong Goh, Kay Chen Tan |
| 2016 | IJCNN | Deep inverse regression with modified document probability for text classification. | Ruoxu Ren, Li Ma, Kay Chen Tan |
| 2016 | IJCNN | Training cost-sensitive Deep Belief Networks on imbalance data problems. | Chong Zhang, Kay Chen Tan, Ruoxu Ren |
| 2015 | CEC | Evolutionary Big Optimization (BigOpt) of Signals. | Sim Kuan Goh, Kay Chen Tan, Abdullah Al Mamun, Hussein A. Abbass |
| 2015 | CEC | Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2015 | GECCO | A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2015 | GECCO | A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. | Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan |
| 2015 | SMC | Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis. | Chong Zhang, Jia Hui Sun, Kay Chen Tan |
| 2014 | CEC | Diversity preservation with hybrid recombination for evolutionary multiobjective optimization. | Sen Bong Gee, Kay Chen Tan |
| 2014 | CEC | A novel Differential Evolution (DE) algorithm for multi-objective optimization. | Xin Qiu, Jian-Xin Xu, Kay Chen Tan |
| 2014 | ICONIP | Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. | Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun |
| 2014 | IJCNN | A new learning rule for classification of spatiotemporal spike patterns. | Qiang Yu, Huajin Tang, Kay Chen Tan |
| 2013 | EUROGP | Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2013 | IJCNN | A hierarchical organized memory model using spiking neurons. | Jun Hu, Huajin Tang, Kay Chen Tan |
| 2013 | IDEAL | A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. | Sen Bong Gee, Xin Qiu, Kay Chen Tan |
| 2013 | IDEAL | Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. | Yung Siang Liau, Kay Chen Tan, Jun Hu, Xin Qiu, Sen Bong Gee |
| 2012 | CEC | A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2012 | CEC | A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. | Vui Ann Shim, Kay Chen Tan, Kok Kiong Tan |
| 2012 | CEC | 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 |
| 2012 | EUROGP | Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2012 | IJCNN | Learning real-world stimuli by single-spike coding and tempotron rule. | Huajin Tang, Qiang Yu, Kay Chen Tan |
| 2012 | IJCNN | Pattern recognition computation in a spiking neural network with temporal encoding and learning. | Qiang Yu, Kay Chen Tan, Huajin Tang |
| 2012 | SOFA | Advances in Evolutionary Multi-objective Optimization. | Kay Chen Tan |
| 2010 | CEC | An investigation on sampling technique for multi-objective restricted Boltzmann machine. | Vui Ann Shim, Kay Chen Tan, Jun Yong Chia |
| 2010 | CEC | Restricted Boltzmann machine based algorithm for multi-objective optimization. | Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia |
| 2008 | CEC | Dimension reduction using evolutionary Support Vector Machines. | Ji Hua Ang, Eu Jin Teoh, C. H. Tan, K. C. Goh, Kay Chen Tan |
| 2008 | CEC | An investigation on evolutionary gradient search for multi-objective optimization. | Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh |
| 2008 | CEC | Online adaptive controller for simulated car racing. | Chin Hiong Tan, Ji Hua Ang, Kay Chen Tan, Arthur Tay |
| 2008 | SMC | A memetic evolutionary search algorithm with variable length chromosome for rule extraction. | Ji Hua Brian Ang, Kay Chen Tan, Abdullah Al Mamun |
| 2007 | CEC | A multi-objective evolutionary algorithm for berth allocation in a container port. | Chun Yew Cheong, C. J. Lin, Kay Chen Tan, Dikai Liu |
| 2007 | CEC | Noise-induced features in robust multi-objective optimization problems. | Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong |
| 2007 | CEC | 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 |
| 2007 | CEC | A distributed co-evolutionary particle swarm optimization algorithm. | D. S. Liu, Kay Chen Tan, Weng Khuen Ho |
| 2007 | CEC | A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. | C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay |
| 2007 | CEC | Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. | Lingfeng Wang, Chanan Singh, Kay Chen Tan |
| 2007 | EMO | Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. | Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan |
| 2007 | EMO | Molecular Dynamics Optimizer. | Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun |
| 2007 | EMO | Multiobjective Evolutionary Neural Networks for Time Series Forecasting. | Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun |
| 2007 | EMO | Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). | Kay Chen Tan |
| 2006 | CEC | A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand. | Chun Yew Cheong, Kay Chen Tan, Dikai Liu, Jian-Xin Xu |
| 2006 | CEC | Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. | Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass |
| 2006 | CEC | Noise Handling in Evolutionary Multi-Objective Optimization. | Chi Keong Goh, Kay Chen Tan |
| 2006 | CEC | An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization. | Ngai Ming Kwok, Dikai Liu, Kay Chen Tan, Quang Phuc Ha |
| 2006 | CEC | On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. | Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho |
| 2006 | IJCNN | A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. | Eu Jin Teoh, Huajin Tang, Kay Chen Tan |
| 2006 | ISNN | A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. | Eu Jin Teoh, Cheng Xiang, Kay Chen Tan |
| 2006 | ISNN | Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. | Eu Jin Teoh, Cheng Xiang, Kay Chen Tan |
| 2005 | CEC | Evolution and incremental learning in the iterative prisoner's dilemma. | Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan |
| 2005 | CEC | Adapting evolutionary dynamics of variation for multi-objective optimization. | Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan |
| 2004 | SMC | A cooperative coevolutionary algorithm for multiobjective optimization. | Kay Chen Tan, Tong Heng Lee, Y. J. Yang, D. S. Liu |
| 2003 | CEC | 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 |
| 2003 | CEC | Development of a distributed evolutionary computing package. | Kay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai |
| 2003 | CEC | Enhanced distribution and exploration for multiobjective evolutionary algorithms. | Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee |
| 2003 | CEC | A distributed cooperative coevolutionary algorithm for multiobjective optimization. | Kay Chen Tan, Y. J. Yang, Tong Heng Lee |
| 2003 | SMC | A cooperative coevolutionary algorithm for multiobjective optimization. | Kay Chen Tan, Yong Han Chew, Tong Heng Lee, Y. J. Yang |
| 2003 | SMC | A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows. | Kay Chen Tan, Tong Heng Lee, Yong Han Chew, Loo Hay Lee |
| 2002 | CEC | Autonomous robot navigation via intrinsic evolution. | Kay Chen Tan, Chee-Meng Chew, Kok Kiong Tan, L. F. Wang, Y. J. Chen |
| 2002 | CEC | Automating the drug scheduling of cancer chemotherapy via evolutionary computation. | Kay Chen Tan, Tong Heng Lee, Ji Cai, Yoong Han Chew |
| 2002 | CEC | Autonomous registration of disparate spatial data via an evolutionary algorithm toolbox. | Kay Chen Tan, Kuntal Sengupta, Tong Heng Lee, Ramasubramanian Sathikannan |
| 2002 | CEC | Mining multiple comprehensible classification rules using genetic programming. | Kay Chen Tan, Arthur Tay, Tong Heng Lee, C. M. Heng |
| 2001 | CEC | Multi-objective evolutionary algorithm with non-stationary search space. | Eik Fun Khor, Kay Chen Tan, Tong Heng Lee |
| 2001 | CEC | Control system design unification and automation-a way forward in CACSD via evolutionary computation. | T. W. Lee, Kay Chen Tan, E. F. Khor |
| 2001 | CEC | Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons. | Kay Chen Tan, Tong Heng Lee, Eik Fun Khor |
| 2001 | CEC | Constrained evolutionary exploration via genetic structure of packet distribution. | Kay Chen Tan, Tong Heng Lee, D. Khoo, Eik Fun Khor |
| 2001 | CEC | A messy genetic algorithm for the vehicle routing problem with time window constraints. | Kay Chen Tan, Tong Heng Lee, Ke Ou, Loo Hay Lee |
| 2001 | EMO | Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization. | Eik Fun Khor, Kay Chen Tan, Tong Heng Lee |
| 2001 | EMO | Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons. | Kay Chen Tan, Tong Heng Lee, Eik Fun Khor |
| 2000 | CEC | MOEA toolbox for computer aided multi-objective optimization. | Kay Chen Tan, T. H. Lee, D. Khoo, E. F. Khor, R. S. Kannan |
| 2000 | CEC | Evolutionary artificial potential fields and their application in real time robot path planning. | Prahlad Vadakkepat, Kay Chen Tan, Ming-Liang Wang |
| 1999 | CEC | Evolutionary algorithms with goal and priority information for multi-objective optimization. | Kay Chen Tan, T. H. Lee, E. F. Khor |