| 2026 | ACL | Why Agents Compromise Safety Under Pressure. | Hengle Jiang, Ke Tang |
| 2026 | ACL | Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms. | Zeguan Xiao, Yun Chen, Jian Yang, Guanhua Chen, Ke Tang |
| 2026 | GECCO | Hot off the Press: Migrant Resettlement by Evolutionary Multi-objective Optimization. | Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang |
| 2025 | AAAI | Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. | Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou |
| 2025 | AAAI | Efficient Robustness Evaluation via Constraint Relaxation. | Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao |
| 2025 | ASPDAC | An MIP-based Force-directed Large Scale Placement Refinement Algorithm. | Zewen Li, Ke Tang, Lang Feng, Zhongfeng Wang |
| 2025 | CVPR | Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing. | Shiyang Zhou, Haijin Zeng, Yunfan Lu, Tong Shao, Ke Tang, Yongyong Chen, Jie Liu, Jingyong Su |
| 2025 | DSAA | Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? | Chao Pan, Ke Tang, Qing Li, Xin Yao |
| 2025 | EMO | When Is Non-deteriorating Population Update in MOEAs Beneficial? | Qiaozhi Zhang, Miqing Li, Ke Tang, Xin Yao |
| 2025 | GECCO | A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization. | Siyu Chen, Haoran Tang, Jinyuan Zhang, Ke Tang |
| 2025 | ICCV | Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination. | Chao Pan, Ke Tang, Qing Li, Xin Yao |
| 2025 | ICDE | Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang |
| 2025 | ICDE | Backdoor Graph Condensation. | Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang |
| 2025 | ICLR | SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization. | Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu |
| 2025 | ICML | Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. | Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang |
| 2025 | ICML | Approximation to Smooth Functions by Low-Rank Swish Networks. | Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang |
| 2025 | WWW | Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. | Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang |
| 2024 | ACL | Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. | Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu |
| 2024 | CEC | An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. | Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang |
| 2024 | CEC | Large Language Models as Evolutionary Optimizers. | Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong |
| 2024 | ICML | DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. | Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang |
| 2024 | IGARSS | Improved Aligned Variational Autoencoders with Knowledge Graph for Generalized Zero-Shot Radar HRRP Target Recognition. | Jiaqi Zhou, Yan Li, Ke Tang, Weiwei Guo, Wenxian Yu |
| 2023 | AAAI | Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. | Shengcai Liu, Fu Peng, Ke Tang |
| 2023 | CIKM | Perturbation-Based Two-Stage Multi-Domain Active Learning. | Rui He, Zeyu Dai, Shan He, Ke Tang |
| 2023 | ECAI | Multi-Domain Learning from Insufficient Annotations. | Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang |
| 2022 | CIKM | Disentangled Contrastive Learning for Social Recommendation. | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang |
| 2022 | ICDE | GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). | Chengbin Hou, Han Zhang, Shan He, Ke Tang |
| 2022 | IDEAL | Zero-Shot Knowledge Graph Completion for Recommendation System. | Zhiyuan Wang, Cheng Chen, Ke Tang |
| 2021 | CEC | The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. | Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang |
| 2021 | IJCAI | Towards Robust Dynamic Network Embedding. | Chengbin Hou, Ke Tang |
| 2020 | AAAI | On Performance Estimation in Automatic Algorithm Configuration. | Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao |
| 2020 | PPSN | Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. | Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang |
| 2019 | AAAI | Unsupervised Feature Selection by Pareto Optimization. | Chao Feng, Chao Qian, Ke Tang |
| 2019 | AAAI | Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. | Shengcai Liu, Ke Tang, Xin Yao |
| 2019 | CEC | Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. | Weiming Liu, Yinda Zhou, Bin Li, Ke Tang |
| 2019 | KDD | AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. | Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong |
| 2018 | AAAI | On Multiset Selection With Size Constraints. | Chao Qian, Yibo Zhang, Ke Tang, Xin Yao |
| 2018 | GECCO | Analysis of noisy evolutionary optimization when sampling fails. | Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao |
| 2018 | IJCAI | A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. | Chao Bian, Chao Qian, Ke Tang |
| 2018 | IJCAI | Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. | Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang |
| 2018 | IJCAI | Generalization Bounds for Regularized Pairwise Learning. | Yunwen Lei, Shao-Bo Lin, Ke Tang |
| 2018 | IJCAI | Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. | Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang |
| 2018 | IJCAI | Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. | Chao Qian, Yang Yu, Ke Tang |
| 2018 | IJCAI | Sequence Selection by Pareto Optimization. | Chao Qian, Chao Feng, Ke Tang |
| 2018 | IJCAI | Distributed Pareto Optimization for Subset Selection. | Chao Qian, Guiying Li, Chao Feng, Ke Tang |
| 2018 | PPSN | Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. | Chao Bian, Chao Qian, Ke Tang |
| 2018 | PRICAI | A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. | Dongjun Qian, Peng Yang, Ke Tang |
| 2017 | GECCO | Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. | Chao Qian, Chao Bian, Wu Jiang, Ke Tang |
| 2017 | IJCAI | On Subset Selection with General Cost Constraints. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang |
| 2017 | IJCAI | Optimizing Ratio of Monotone Set Functions. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2017 | ISNN | Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. | Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang |
| 2017 | ISNN | A Selective Transfer Learning Method for Concept Drift Adaptation. | Ge Xie, Yu Sun, Minlong Lin, Ke Tang |
| 2016 | CEC | Search based recommender system using many-objective evolutionary algorithm. | Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao |
| 2016 | CEC | A multi-modal optimization approach to single path planning for unmanned aerial vehicle. | Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao |
| 2016 | IJCAI | Parallel Pareto Optimization for Subset Selection. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2016 | IJCNN | A non-parametric approach for learning from crowds. | Jiayi Fu, Jinhong Zhong, Yunfeng Liu, Zhenyu Wang, Ke Tang |
| 2016 | IJCNN | A trajectory-based approach for object detection from video. | Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, Ke Tang |
| 2016 | PPSN | Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. | Xiaofen Lu, Ke Tang, Xin Yao |
| 2016 | PPSN | Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. | Chao Qian, Ke Tang, Zhi-Hua Zhou |
| 2016 | PPSN | Analyzing Inter-objective Relationships: A Case Study of Software Upgradability. | Zhilei Ren, He Jiang, Jifeng Xuan, Ke Tang, Yan Hu |
| 2015 | CEC | A new Evolutionary multi-objective algorithm for Convex Hull Maximization. | Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang, Ke Tang |
| 2015 | CEC | Local ensemble surrogate assisted crowding differential evolution. | Chen Jin, A. K. Qin, Ke Tang |
| 2015 | CEC | QoS-aware long-term based service composition in cloud computing. | Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao |
| 2015 | CEC | Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis. | Yuzhou Wu, Yu Sun, Xinle Liang, Ke Tang, Zixing Cai |
| 2015 | GECCO | A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm. | Guanbo Jia, Shan He, Zexuan Zhu, Jing Liu, Ke Tang |
| 2015 | IJCAI | Increasingly Cautious Optimism for Practical PAC-MDP Exploration. | Liangpeng Zhang, Ke Tang, Xin Yao |
| 2015 | IJCAI | Active Learning from Crowds with Unsure Option. | Jinhong Zhong, Ke Tang, Zhi-Hua Zhou |
| 2014 | CEC | What are dynamic optimization problems? | Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao |
| 2014 | CEC | An improved Two Archive Algorithm for Many-Objective optimization. | Bingdong Li, Jinlong Li, Ke Tang, Xin Yao |
| 2014 | CEC | Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. | A. K. Qin, Ke Tang, Hong Pan, Si-Yu Xia |
| 2014 | CEC | Evolving exact integer algorithms with Genetic Programming. | Thomas Weise, Mingxu Wan, Ke Tang, Xin Yao |
| 2014 | CEC | Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. | Peng Yang, Ke Tang, Jos Antonio Lozano |
| 2014 | IJCNN | Finding convex hull vertices in metric space. | Jinhong Zhong, Ke Tang, A. K. Qin |
| 2014 | ISCA | ArchRanker: A ranking approach to design space exploration. | Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen |
| 2013 | CEC | Impact of problem decomposition on Cooperative Coevolution. | Wenxiang Chen, Ke Tang |
| 2013 | CIDM | Combining Semi-Supervised and active learning for hyperspectral image classification. | Mingzhi Li, Rui Wang, Ke Tang |
| 2013 | ICDE | Pipe failure prediction: A data mining method. | Rui Wang, Weishan Dong, Yu Wang, Ke Tang, Xin Yao |
| 2013 | ICMLC | Malware detection based on objective-oriented association mining. | Xiao Xiao, Yuxin Ding, Yibin Zhang, Ke Tang, Dai Wei |
| 2013 | IDEAL | Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution. | Jinpeng Liu, Ke Tang |
| 2013 | IDEAL | Semi-supervised Ranking via List-Wise Approach. | Zhigao Miao, Ke Tang |
| 2013 | IDEAL | Gradient Boosting-Based Negative Correlation Learning. | Lunjun Wan, Ke Tang, Rui Wang |
| 2013 | IDEAL | Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. | Lili Zhuang, Ke Tang, Yaochu Jin |
| 2012 | CEC | Characterizing environmental changes in Robust Optimization Over Time. | Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao |
| 2012 | GECCO | A developmental solution to (dynamic) capacitated arc routing problems using genetic programming. | Thomas Weise, Alexandre Devert, Ke Tang |
| 2012 | IDEAL | A Learning-to-Rank Algorithm for Constructing Defect Prediction Models. | Xiaoxing Yang, Ke Tang, Xin Yao |
| 2012 | PPSN | Community Detection Using Cooperative Co-evolutionary Differential Evolution. | Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He, John K. Heath, Xin Yao |
| 2011 | AAAI | Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. | Ke Tang, Rui Wang, Tianshi Chen |
| 2011 | CEC | Classification-assisted Differential Evolution for computationally expensive problems. | Xiaofen Lu, Ke Tang, Xin Yao |
| 2011 | CEC | A Memetic Genetic Programming with decision tree-based local search for classification problems. | Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao |
| 2011 | EUROGP | Novel Loop Structures and the Evolution of Mathematical Algorithms. | Mingxu Wan, Thomas Weise, Ke Tang |
| 2011 | ICONIP | Alleviate the Hypervolume Degeneration Problem of NSGA-II. | Fei Peng, Ke Tang |
| 2011 | ICTAI | Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network. | Mingming Xiao, Jun Zhang, Kaiquan Cai, Xianbin Cao, Ke Tang |
| 2011 | PAKDD | Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets. | Xiannian Fan, Ke Tang, Thomas Weise |
| 2010 | CEC | Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. | Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu |
| 2010 | CEC | Capacitated arc routing problem in uncertain environments. | Yi Mei, Ke Tang, Xin Yao |
| 2010 | CEC | Robust optimization over time - A new perspective on dynamic optimization problems. | Xin Yu, Yaochu Jin, Ke Tang, Xin Yao |
| 2010 | GECCO | AOAB: automated optimization algorithm benchmarking. | Thomas Weise, Li Niu, Ke Tang |
| 2010 | HAIS | Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. | Xiaofen Lu, Ke Tang, Xin Yao |
| 2010 | PPSN | Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning. | Wenxiang Chen, Thomas Weise, Zhenyu Yang, Ke Tang |
| 2009 | CEC | When is an estimation of distribution algorithm better than an evolutionary algorithm? | Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao |
| 2009 | CEC | A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. | Yunji Chen, Ke Tang, Tianshi Chen |
| 2009 | CEC | Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. | Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao |
| 2009 | CEC | Improved memetic algorithm for Capacitated Arc Routing Problem. | Yi Mei, Ke Tang, Xin Yao |
| 2009 | CEC | Multi-start JADE with knowledge transfer for numerical optimization. | Fei Peng, Ke Tang, Guoliang Chen, Xin Yao |
| 2009 | CEC | A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. | Zai Wang, Tianshi Chen, Ke Tang, Xin Yao |
| 2009 | CEC | An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. | Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Arthur C. Sanderson |
| 2009 | ICDM | Feature Selection for Maximizing the Area Under the ROC Curve. | Rui Wang, Ke Tang |
| 2009 | IJCNN | Diversity exploration and negative correlation learning on imbalanced data sets. | Shuo Wang, Ke Tang, Xin Yao |
| 2009 | IDEAL | The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. | Xiaoxing Yang, Ke Tang, Xin Yao |
| 2008 | CEC | A multi-objective evolutionary approach to aircraft landing scheduling problems. | Ke Tang, Zai Wang, Xianbin Cao, Jun Zhang |
| 2008 | CEC | A multi-objective approach to testing resource allocation in modular software systems. | Zai Wang, Ke Tang, Xin Yao |
| 2008 | CEC | Self-adaptive differential evolution with neighborhood search. | Zhenyu Yang, Ke Tang, Xin Yao |
| 2008 | CEC | Multilevel cooperative coevolution for large scale optimization. | Zhenyu Yang, Ke Tang, Xin Yao |
| 2008 | CEC | An immigrants scheme based on environmental information for genetic algorithms in changing environments. | Xin Yu, Ke Tang, Xin Yao |
| 2008 | IJCNN | Selective negative correlation learning algorithm for incremental learning. | Minlong Lin, Ke Tang, Xin Yao |
| 2007 | CEC | On the analysis of average time complexity of estimation of distribution algorithms. | Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao |
| 2007 | CEC | Differential evolution for high-dimensional function optimization. | Zhenyu Yang, Ke Tang, Xin Yao |