Ke Tang - RankMe

371 papers A* 31A 9B 46C 10Journal 233Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Reinforcement Learning With Cross-Domain Knowledge Transfer via Seeded Graph Matching. IEEE Trans. Neural Networks Learn. Syst. Gengzhi Zhang, Liang Feng, Xuefeng Chen, Ke Tang, Kay Chen Tan
2026	J	`jnl`	Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models. CoRR Wenjing Hong, Zhonghua Rong, Li Wang, Feng Chang, Jian Zhu, Ke Tang, Zexuan Zhu, Yew-Soon Ong
2026	J	`jnl`	Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework. CoRR Yinxi Tian, Changwu Huang, Ke Tang, Xin Yao
2026	J	`jnl`	Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions. CoRR Xuanfeng Li, Shengcai Liu, Wenjie Chen, Yew-Soon Ong, Ke Tang
2026	J	`jnl`	Parse Trees Guided LLM Prompt Compression. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv
2026	J	`jnl`	Procedural Fairness in Machine Learning. J. Artif. Intell. Res. Ziming Wang, Changwu Huang, Ke Tang, Xin Yao
2026	J	`jnl`	Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model. CoRR Jiahao Wu, Ning Lu, Shengcai Liu, Kun Wang, Yanting Yang, Li Qing, Ke Tang
2025	—	`conf`	A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization. GECCO Companion Siyu Chen, Haoran Tang, Jinyuan Zhang, Ke Tang
2025	J	`jnl`	A New Prediction Strategy for Dynamic Multiobjective Optimization Using Diffusion Model. IEEE Trans. Evol. Comput. Feng Wang, Jinsong Xie, Aimin Zhou, Ke Tang
2025	J	`jnl`	A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization. CoRR Zhiyuan Wang, Shengcai Liu, Shaofeng Zhang, Ke Tang
2025	J	`jnl`	A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems. IEEE Trans. Evol. Comput. Shenglian Tan, Yong Wang, Guangyong Sun, Tong Pang, Ke Tang
2025	A*	`conf`	Backdoor Graph Condensation. ICDE Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
2025	J	`jnl`	Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms. IEEE Trans. Evol. Comput. Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2025	J	`jnl`	Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search. CoRR Shengcai Liu, Haoze Lv, Zhiyuan Wang, Ke Tang
2025	J	`jnl`	Causal Inference-Based Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Bingdong Li, Yanting Yang, Peng Yang, Guiying Li, Ke Tang, Aimin Zhou
2025	A*	`conf`	Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). ICDE Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025	J	`jnl`	Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. IEEE Trans. Knowl. Data Eng. Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025	J	`jnl`	Constrained Probabilistic Pareto Dominance for Expensive Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Zhiyao Zhang, Yong Wang, Guangyong Sun, Tong Pang, Ke Tang
2025	J	`jnl`	Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios. CoRR Zhiyuan Wang, Shengcai Liu, Peng Yang, Ke Tang
2025	J	`jnl`	Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction. CoRR Mei Jiang, Haihai Shen, Zhuo Luo, Bingdong Li, Wenjing Hong, Ke Tang, Aimin Zhou
2025	A*	`conf`	Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. AAAI Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2025	J	`jnl`	FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks. CoRR Jiarui Song, Yunheng Shen, Chengbin Hou, Pengyu Wang, Jinbao Wang, Ke Tang, Hairong Lv
2025	J	`jnl`	FedAGHN: Personalized federated learning with attentive graph hypernetworks. Knowl. Based Syst. Jiarui Song, Yunheng Shen, Chengbin Hou, Pengyu Wang, Jinbao Wang, Ke Tang, Hairong Lv
2025	J	`jnl`	Hardware-Aware DNN Compression for Homogeneous Edge Devices. CoRR Kunlong Zhang, Guiying Li, Ning Lu, Peng Yang, Ke Tang
2025	B	`conf`	Hierarchical Fusion Network for Day-Ahead Wind Power Forecasting. IEEE Big Data Xiaodong Ouyang, Cheng Chen, Guozhen Zhang, Ke Tang
2025	J	`jnl`	Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs. CoRR Qingya Li, Shengcai Liu, Wenjie Chen, Juan Zou, Ke Tang, Xin Yao
2025	J	`jnl`	LLM-Driven Instance-Specific Heuristic Generation and Selection. CoRR Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang
2025	J	`jnl`	Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. IEEE Trans. Neural Networks Learn. Syst. Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
2025	—	`conf`	Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. WWW (Companion Volume) Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2025	J	`jnl`	Low-Light Salient Object Detection Meets the Small Size. IEEE Trans. Emerg. Top. Comput. Intell. Shiqin Wang, Xin Xu, Haoyang Chen, Kui Jiang, Zheng Wang, Ke Tang
2025	J	`jnl`	Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations. CoRR Rui Xu, Xing Fan, Shengcai Liu, Wenjie Chen, Ke Tang
2025	J	`jnl`	Migrant Resettlement by Evolutionary Multiobjective Optimization. IEEE Trans. Artif. Intell. Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2025	J	`jnl`	Multi-Scale Features Are Effective for Multi-Modal Classification: An Architecture Search Viewpoint. IEEE Trans. Circuits Syst. Video Technol. Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Yayu Zhang, Qin Huang, Ke Tang
2025	J	`jnl`	Neural Influence Estimator: Towards Real-Time Solutions to Influence Blocking Maximization. IEEE Trans. Comput. Soc. Syst. Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Li Zhuang, Ke Tang
2025	J	`jnl`	On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning. CoRR Zhi Yang, Changwu Huang, Ke Tang, Xin Yao
2025	J	`jnl`	Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning. CoRR Ziming Wang, Changwu Huang, Ke Tang, Xin Yao
2025	B	`conf`	Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? DSAA Chao Pan, Ke Tang, Qing Li, Xin Yao
2025	A*	`conf`	SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization. ICLR Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu
2025	A*	`conf`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. ICML Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. CoRR Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles. CoRR Shengcai Liu, Hui Ouyang, Zhiyuan Wang, Cheng Chen, Qijun Cai, Yew-Soon Ong, Ke Tang
2025	J	`jnl`	SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. CoRR Zeyu Dai, Shengcai Liu, Rui He, Jiahao Wu, Ning Lu, Wenqi Fan, Qing Li, Ke Tang
2025	J	`jnl`	Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network. CoRR Bingdong Li, Mei Jiang, Hong Qian, Ke Tang, Aimin Zhou, Peng Yang
2025	J	`jnl`	Towards Calibrating Financial Market Simulators with High-Frequency Data. Complex Syst. Model. Simul. Peng Yang, Junji Ren, Feng Wang, Ke Tang
2025	J	`jnl`	Towards Calibrating Financial Market Simulators with High-frequency Data. CoRR Peng Yang, Junji Ren, Feng Wang, Ke Tang
2025	—	`conf`	When Is Non-deteriorating Population Update in MOEAs Beneficial? EMO (2) Qiaozhi Zhang, Miqing Li, Ke Tang, Xin Yao
2024	J	`jnl`	A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management. IEEE Trans. Evol. Comput. Tong Guo, Yi Mei, Ke Tang, Wenbo Du
2024	J	`jnl`	A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. Zhiyao Zhang, Yong Wang, Jiao Liu, Guangyong Sun, Ke Tang
2024	B	`conf`	An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. CEC Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang
2024	J	`jnl`	Backdoor Graph Condensation. CoRR Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
2024	J	`jnl`	Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2024	J	`jnl`	Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. IEEE Trans. Cybern. Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2024	J	`jnl`	Cooperative Co-Evolution for Large-Scale Multiobjective Air Traffic Flow Management. IEEE Trans. Evol. Comput. Tong Guo, Yi Mei, Ke Tang, Wenbo Du
2024	—	`conf`	Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning. IIP (1) Hui Ouyang, Cheng Chen, Ke Tang
2024	J	`jnl`	ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang
2024	J	`jnl`	Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
2024	J	`jnl`	Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. CoRR Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2024	J	`jnl`	It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
2024	J	`jnl`	Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. CoRR Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
2024	B	`conf`	Large Language Models as Evolutionary Optimizers. CEC Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2024	J	`jnl`	Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang
2024	J	`jnl`	Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang
2024	J	`jnl`	Learning to Construct a Solution for the Agile Satellite Scheduling Problem With Time-Dependent Transition Times. IEEE Trans. Syst. Man Cybern. Syst. Ming Chen, Yonghao Du, Ke Tang, Lining Xing, Yuning Chen, Yingwu Chen
2024	—	`conf`	Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CAI Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
2024	J	`jnl`	Parse Trees Guided LLM Prompt Compression. CoRR Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv
2024	J	`jnl`	Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
2024	J	`jnl`	Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
2023	—	`conf`	A Sample Reuse Strategy for Dynamic Influence Maximization Problem. BIC-TA (2) Shaofeng Zhang, Shengcai Liu, Ke Tang
2023	J	`jnl`	A Sample Reuse Strategy for Dynamic Influence Maximization Problem. CoRR Shaofeng Zhang, Shengcai Liu, Ke Tang
2023	J	`jnl`	A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm Evol. Comput. Biyue Li, Tong Guo, Yi Mei, Yumeng Li, Jun Chen, Yu Zhang, Ke Tang, Wenbo Du
2023	—	`conf`	An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. BIC-TA (1) Donghui Zhao, Xiaofen Lu, Ke Tang
2023	J	`jnl`	Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2023	J	`jnl`	Dataset Condensation for Recommendation. CoRR Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2023	J	`jnl`	Difficulty and Contribution-Based Cooperative Coevolution for Large-Scale Optimization. IEEE Trans. Evol. Comput. Peilan Xu, Wenjian Luo, Xin Lin, Yatong Chang, Ke Tang
2023	J	`jnl`	Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning. CoRR Hui Ouyang, Cheng Chen, Ke Tang
2023	J	`jnl`	Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding. CoRR Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
2023	J	`jnl`	Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. CoRR Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang
2023	J	`jnl`	Fast Multi-Grid Methods for Minimizing Curvature Energies. IEEE Trans. Image Process. Zhenwei Zhang, Ke Chen, Ke Tang, Yuping Duan
2023	—	`conf`	Fibrosis Grading Methods for Renal Whole Slide Images Based on Uncertainty Estimation. ACPR (2) Ke Tang, Xiuxiu Hu, Pingsheng Chen, Siyu Xia
2023	J	`jnl`	How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Comput. Intell. Mag. Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
2023	J	`jnl`	Large Language Models as Evolutionary Optimizers. CoRR Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2023	J	`jnl`	Large Language Models can be Guided to Evade AI-Generated Text Detection. CoRR Ning Lu, Shengcai Liu, Rui He, Qi Wang, Ke Tang
2023	J	`jnl`	Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CoRR Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
2023	J	`jnl`	Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. CoRR Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2023	J	`jnl`	MetaUE: Model-based Meta-learning for Underwater Image Enhancement. CoRR Zhenwei Zhang, Haorui Yan, Ke Tang, Yuping Duan
2023	J	`jnl`	Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2023	J	`jnl`	Multi-Domain Active Learning: Literature Review and Comparative Study. IEEE Trans. Emerg. Top. Comput. Intell. Rui He, Shengcai Liu, Shan He, Ke Tang
2023	J	`jnl`	Multi-Domain Learning From Insufficient Annotations. CoRR Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
2023	A	`conf`	Multi-Domain Learning from Insufficient Annotations. ECAI Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
2023	J	`jnl`	Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. IEEE Trans Autom. Sci. Eng. Wenjie Chen, Wenjing Hong, Hu Zhang, Peng Yang, Ke Tang
2023	J	`jnl`	Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
2023	J	`jnl`	Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang
2023	A	`conf`	Perturbation-Based Two-Stage Multi-Domain Active Learning. CIKM Rui He, Zeyu Dai, Shan He, Ke Tang
2023	J	`jnl`	Perturbation-Based Two-Stage Multi-Domain Active Learning. CoRR Rui He, Zeyu Dai, Shan He, Ke Tang
2023	J	`jnl`	Pointer Networks Trained Better via Evolutionary Algorithms. CoRR Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang
2023	A*	`conf`	Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. AAAI Shengcai Liu, Fu Peng, Ke Tang
2023	J	`jnl`	Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. ACM Trans. Intell. Syst. Technol. Zeyu Dai, Shengcai Liu, Qing Li, Ke Tang
2022	J	`jnl`	A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation. IEEE Trans. Intell. Transp. Syst. Biyue Li, Wenbo Du, Yu Zhang, Jun Chen, Ke Tang, Xianbin Cao
2022	A*	`conf`	Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2022	J	`jnl`	Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2022	—	`conf`	Defending Adversarial Examples by Negative Correlation Ensemble. DMBD (2) Wenjian Luo, Hongwei Zhang, Linghao Kong, Zhijian Chen, Ke Tang
2022	J	`jnl`	Defending Adversarial Examples by Negative Correlation Ensemble. CoRR Wenjian Luo, Hongwei Zhang, Linghao Kong, Zhijian Chen, Ke Tang
2022	A	`conf`	Disentangled Contrastive Learning for Social Recommendation. CIKM Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
2022	J	`jnl`	Disentangled Contrastive Learning for Social Recommendation. CoRR Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
2022	J	`jnl`	Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
2022	J	`jnl`	Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. IEEE ACM Trans. Audio Speech Lang. Process. Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
2022	—	`conf`	Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. BIC-TA Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
2022	J	`jnl`	Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. Swarm Evol. Comput. Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, Ke Tang
2022	J	`jnl`	Generative Adversarial Construction of Parallel Portfolios. IEEE Trans. Cybern. Shengcai Liu, Ke Tang, Xin Yao
2022	A*	`conf`	GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). ICDE Chengbin Hou, Han Zhang, Shan He, Ke Tang
2022	J	`jnl`	GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. Chengbin Hou, Han Zhang, Shan He, Ke Tang
2022	J	`jnl`	Gradient Descent Learning With Floats. IEEE Trans. Cybern. Tao Sun, Ke Tang, Dongsheng Li
2022	J	`jnl`	Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. IEEE Trans. Cybern. Zhi-Zhong Liu, Bing-Chuan Wang, Ke Tang
2022	J	`jnl`	How Good Is Neural Combinatorial Optimization? CoRR Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
2022	J	`jnl`	Multi-objective approaches to portfolio optimization with market impact costs. Memetic Comput. Hongze Wang, Xuerong Li, Wenjing Hong, Ke Tang
2022	J	`jnl`	Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. CoRR Dongbin Jiao, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, Ke Tang, Fengyuan Ren
2022	J	`jnl`	Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. CoRR Shengcai Liu, Fu Peng, Ke Tang
2022	J	`jnl`	Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. CoRR Zeyu Dai, Shengcai Liu, Ke Tang, Qing Li
2022	J	`jnl`	Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
2022	—	`conf`	Training Quantized Deep Neural Networks via Cooperative Coevolution. ICSI (2) Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
2022	C	`conf`	Zero-Shot Knowledge Graph Completion for Recommendation System. IDEAL Zhiyuan Wang, Cheng Chen, Ke Tang
2021	J	`jnl`	A New Knowledge Gradient-based Method for Constrained Bayesian Optimization. CoRR Wenjie Chen, Shengcai Liu, Ke Tang
2021	J	`jnl`	A Survey on Neural Network Interpretability. IEEE Trans. Emerg. Top. Comput. Intell. Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang
2021	J	`jnl`	A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multim. Tools Appl. Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, Ke Tang
2021	J	`jnl`	An optima-identified framework with brain storm optimization for multimodal optimization problems. Swarm Evol. Comput. Zeyu Dai, Wei Fang, Ke Tang, Qing Li
2021	J	`jnl`	Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2021	J	`jnl`	Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. ACM Trans. Embed. Comput. Syst. Bo Yuan, Xiaofen Lu, Ke Tang, Xin Yao
2021	J	`jnl`	Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. CoRR Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
2021	J	`jnl`	Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Trans. Cybern. Wenjing Hong, Chao Qian, Ke Tang
2021	J	`jnl`	Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. Int. J. Autom. Comput. Wenjing Hong, Peng Yang, Ke Tang
2021	J	`jnl`	Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
2021	J	`jnl`	Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
2021	J	`jnl`	Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions. J. Mach. Learn. Res. Yunwen Lei, Ting Hu, Ke Tang
2021	J	`jnl`	HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang
2021	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings IDEAL Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento
2021	J	`jnl`	Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives. IEEE Trans. Pattern Anal. Mach. Intell. Yunwen Lei, Ke Tang
2021	J	`jnl`	Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. Swarm Evol. Comput. Shengcai Liu, Ke Tang, Xin Yao
2021	J	`jnl`	Multi-Domain Active Learning: A Comparative Study. CoRR Rui He, Shan He, Ke Tang
2021	J	`jnl`	Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
2021	J	`jnl`	On the robustness of median sampling in noisy evolutionary optimization. Sci. China Inf. Sci. Chao Bian, Chao Qian, Yang Yu, Ke Tang
2021	—	`conf`	Parallel Random Embedding with Negatively Correlated Search. ICSI (2) Qi Yang, Peng Yang, Ke Tang
2021	J	`jnl`	Parallel exploration via negatively correlated search. Frontiers Comput. Sci. Peng Yang, Qi Yang, Ke Tang, Xin Yao
2021	J	`jnl`	Robust Dynamic Network Embedding via Ensembles. CoRR Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
2021	J	`jnl`	Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. Jialin Liu, Ke Tang, Xin Yao
2021	B	`conf`	The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. CEC Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang
2021	A*	`conf`	Towards Robust Dynamic Network Embedding. IJCAI Chengbin Hou, Ke Tang
2021	J	`jnl`	Training Quantized Deep Neural Networks via Cooperative Coevolution. CoRR Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
2020	—	`conf`	A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
2020	J	`jnl`	A Survey on Neural Network Interpretability. CoRR Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang
2020	J	`jnl`	ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics. Bioinform. Ning Shi, Zexuan Zhu, Ke Tang, David Parker, Shan He
2020	J	`jnl`	An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. IEEE Trans. Evol. Comput. Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang
2020	J	`jnl`	Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. CoRR Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang
2020	J	`jnl`	Few-shots Parameter Tuning via Co-evolution. CoRR Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
2020	J	`jnl`	GloDyNE: Global Topology Preserving Dynamic Network Embedding. CoRR Chengbin Hou, Han Zhang, Shan He, Ke Tang
2020	J	`jnl`	Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. CoRR Shengcai Liu, Ke Tang, Xin Yao
2020	—	`conf`	Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang
2020	J	`jnl`	Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage. IEEE Trans. Emerg. Top. Comput. Intell. Wenbo Du, Wen Ying, Peng Yang, Xianbin Cao, Gang Yan, Ke Tang, Dapeng Oliver Wu
2020	A*	`conf`	On Performance Estimation in Automatic Algorithm Configuration. AAAI Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
2020	J	`jnl`	Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang
2020	J	`jnl`	Particle Swarm Optimization with Moving Particles on Scale-Free Networks. IEEE Trans. Netw. Sci. Eng. Di Wu, Nan Jiang, Wenbo Du, Ke Tang, Xianbin Cao
2020	J	`jnl`	RoSANE: Robust and scalable attributed network embedding for sparse networks. Neurocomputing Chengbin Hou, Shan He, Ke Tang
2020	J	`jnl`	Running time analysis of the (1+1)-EA for robust linear optimization. Theor. Comput. Sci. Chao Bian, Chao Qian, Ke Tang, Yang Yu
2020	J	`jnl`	Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. IEEE Trans. Neural Networks Learn. Syst. Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
2019	J	`jnl`	A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. IEEE Access Peng Yang, Ke Tang, Xin Yao
2019	J	`jnl`	A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao
2019	J	`jnl`	A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Trans. Evol. Comput. Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu
2019	J	`jnl`	An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. IEEE Trans. Cybern. Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
2019	A*	`conf`	Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. AAAI Shengcai Liu, Ke Tang, Xin Yao
2019	J	`jnl`	Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
2019	B	`conf`	Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. CEC Weiming Liu, Yinda Zhou, Bin Li, Ke Tang
2019	J	`jnl`	DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding. CoRR Chengbin Hou, Han Zhang, Ke Tang, Shan He
2019	J	`jnl`	Evolutionary optimization with hierarchical surrogates. Swarm Evol. Comput. Xiaofen Lu, Tao Sun, Ke Tang
2019	A*	`conf`	Explicit Planning for Efficient Exploration in Reinforcement Learning. NeurIPS Liangpeng Zhang, Ke Tang, Xin Yao
2019	J	`jnl`	Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2019	J	`jnl`	Negatively Correlated Search as a Parallel Exploration Search Strategy. CoRR Peng Yang, Ke Tang, Xin Yao
2019	J	`jnl`	On Performance Estimation in Automatic Algorithm Configuration. CoRR Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
2019	—	`conf`	Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. ICC Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang
2019	A*	`conf`	Optimal Stochastic and Online Learning with Individual Iterates. NeurIPS Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou
2019	J	`jnl`	Preface. Nat. Comput. José Antonio Lozano, Ke Tang, Xin Yao
2019	J	`jnl`	QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. Xinle Liang, A. K. Qin, Ke Tang, Kay Chen Tan
2019	J	`jnl`	Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise. Algorithmica Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2019	J	`jnl`	Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. CoRR Chao Bian, Chao Qian, Ke Tang
2019	J	`jnl`	Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. CoRR Yunwen Lei, Ting Hu, Ke Tang
2019	A*	`conf`	Unsupervised Feature Selection by Pareto Optimization. AAAI Chao Feng, Chao Qian, Ke Tang
2018	—	`conf`	A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. PRICAI (1) Dongjun Qian, Peng Yang, Ke Tang
2018	A*	`conf`	A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. IJCAI Chao Bian, Chao Qian, Ke Tang
2018	J	`jnl`	A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. CoRR Peng Yang, Ke Tang, Xin Yao
2018	J	`jnl`	Analysis of Noisy Evolutionary Optimization When Sampling Fails. CoRR Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018	A	`conf`	Analysis of noisy evolutionary optimization when sampling fails. GECCO Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018	A*	`conf`	Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. IJCAI Chao Qian, Yang Yu, Ke Tang
2018	J	`jnl`	Attributed Network Embedding for Incomplete Structure Information. CoRR Chengbin Hou, Shan He, Ke Tang
2018	J	`jnl`	Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. CoRR Shengcai Liu, Ke Tang, Xin Yao
2018	J	`jnl`	Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features. Appl. Soft Comput. Thomas Weise, Xiaofeng Wang, Qi Qi, Bin Li, Ke Tang
2018	J	`jnl`	Concept Drift Adaptation by Exploiting Historical Knowledge. IEEE Trans. Neural Networks Learn. Syst. Yu Sun, Ke Tang, Zexuan Zhu, Xin Yao
2018	J	`jnl`	Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. IEEE Trans. Evol. Comput. Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou
2018	J	`jnl`	Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
2018	A*	`conf`	Distributed Pareto Optimization for Subset Selection. IJCAI Chao Qian, Guiying Li, Chao Feng, Ke Tang
2018	—	`conf`	Dynamic Mutation Based Pareto Optimization for Subset Selection. ICIC (3) Mengxi Wu, Chao Qian, Ke Tang
2018	A*	`conf`	Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. IJCAI Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
2018	A*	`conf`	Generalization Bounds for Regularized Pairwise Learning. IJCAI Yunwen Lei, Shao-Bo Lin, Ke Tang
2018	—	`conf`	Improved Running Time Analysis of the (1+1)-ES on the Sphere Function. ICIC (1) Wu Jiang, Chao Qian, Ke Tang
2018	J	`jnl`	Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization. CoRR Yibo Zhang, Chao Qian, Ke Tang
2018	A*	`conf`	On Multiset Selection With Size Constraints. AAAI Chao Qian, Yibo Zhang, Ke Tang, Xin Yao
2018	J	`jnl`	On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
2018	A*	`conf`	Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. IJCAI Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang
2018	J	`jnl`	Preselection via classification: A case study on evolutionary multiobjective optimization. Inf. Sci. Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang
2018	A*	`conf`	Sequence Selection by Pareto Optimization. IJCAI Chao Qian, Chao Feng, Ke Tang
2018	A*	`conf`	Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities. NeurIPS Yunwen Lei, Ke Tang
2018	J	`jnl`	The networked evolutionary algorithm: A network science perspective. Appl. Math. Comput. Wenbo Du, Mingyuan Zhang, Wen Ying, Matjaz Perc, Ke Tang, Xianbin Cao, Dapeng Wu
2018	—	`conf`	Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. PPSN (2) Chao Bian, Chao Qian, Ke Tang
2018	J	`jnl`	Turning High-Dimensional Optimization Into Computationally Expensive Optimization. IEEE Trans. Evol. Comput. Peng Yang, Ke Tang, Xin Yao
2017	J	`jnl`	A Quality-Sensitive Method for Learning from Crowds. IEEE Trans. Knowl. Data Eng. Jinhong Zhong, Peng Yang, Ke Tang
2017	J	`jnl`	A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Trans. Cybern. Ke Tang, Juan Wang, Xiaodong Li, Xin Yao
2017	—	`conf`	A Selective Transfer Learning Method for Concept Drift Adaptation. ISNN (2) Ge Xie, Yu Sun, Minlong Lin, Ke Tang
2017	J	`jnl`	An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms. CoRR Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
2017	J	`jnl`	An evolutionary approach for dynamic single-runway arrival sequencing and scheduling problem. Soft Comput. Xiao-Peng Ji, Xian-Bin Cao, Wenbo Du, Ke Tang
2017	J	`jnl`	Concept Drift Adaptation by Exploiting Historical Knowledge. CoRR Yu Sun, Ke Tang, Zexuan Zhu, Xin Yao
2017	J	`jnl`	Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104]. Inf. Sci. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2017	—	`conf`	Enhanced Pairwise Learning for Personalized Ranking from Implicit Feedback. BIC-TA Yunzhou Zhang, Bo Yuan, Ke Tang
2017	J	`jnl`	Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
2017	J	`jnl`	Experience-based Optimization: A Coevolutionary Approach. CoRR Shengcai Liu, Ke Tang, Xin Yao
2017	—	`conf`	Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning. NIPS Liangpeng Zhang, Ke Tang, Xin Yao
2017	J	`jnl`	Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2017	J	`jnl`	Memetic algorithm with route decomposing for periodic capacitated arc routing problem. Appl. Soft Comput. Yuzhou Zhang, Yi Mei, Ke Tang, Keqin Jiang
2017	A*	`conf`	On Subset Selection with General Cost Constraints. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang
2017	A*	`conf`	Optimizing Ratio of Monotone Set Functions. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2017	J	`jnl`	Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. IEEE Comput. Intell. Mag. Xingyi Zhang, Fuchen Duan, Lei Zhang, Fan Cheng, Yaochu Jin, Ke Tang
2017	J	`jnl`	Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization. CoRR Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang
2017	—	`conf`	Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. ISNN (1) Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang
2017	J	`jnl`	Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise. CoRR Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2017	A	`conf`	Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. GECCO Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2017	J	`jnl`	Search Based Software Engineering [Guest Editorial]. IEEE Comput. Intell. Mag. He Jiang, Ke Tang, Justyna Petke, Mark Harman
2017	—	`ed.`	Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings SEAL Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
2017	J	`jnl`	Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management. IEEE Trans. Intell. Transp. Syst. Kaiquan Cai, Jun Zhang, Ming-Ming Xiao, Ke Tang, Wenbo Du
2017	—	`conf`	Subset Selection under Noise. NIPS Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016	B	`conf`	A multi-modal optimization approach to single path planning for unmanned aerial vehicle. CEC Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao
2016	B	`conf`	A non-parametric approach for learning from crowds. IJCNN Jiayi Fu, Jinhong Zhong, Yunfeng Liu, Zhenyu Wang, Ke Tang
2016	B	`conf`	A trajectory-based approach for object detection from video. IJCNN Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, Ke Tang
2016	A	`conf`	Analyzing Inter-objective Relationships: A Case Study of Software Upgradability. PPSN Zhilei Ren, He Jiang, Jifeng Xuan, Ke Tang, Yan Hu
2016	J	`jnl`	Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance. Memetic Comput. Wenjing Hong, Ke Tang
2016	J	`jnl`	Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. IEEE Trans. Evol. Comput. Shan He, Guanbo Jia, Zexuan Zhu, Dan A. Tennant, Qiang Huang, Ke Tang, Jing Liu, Mirco Musolesi, John K. Heath, Xin Yao
2016	J	`jnl`	Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. Juan Wang, Ke Tang, José Antonio Lozano, Xin Yao
2016	J	`jnl`	Global versus local search: the impact of population sizes on evolutionary algorithm performance. J. Glob. Optim. Thomas Weise, Yuezhong Wu, Raymond Chiong, Ke Tang, Jörg Lässig
2016	J	`jnl`	High-dimensional Black-box Optimization via Divide and Approximate Conquer. CoRR Peng Yang, Ke Tang, Xin Yao
2016	—	`conf`	Incremental Learning with Concept Drift: A Knowledge Transfer Perspective. BIC-TA (1) Yu Sun, Ke Tang
2016	J	`jnl`	Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. Inf. Sci. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2016	J	`jnl`	Negatively Correlated Search. IEEE J. Sel. Areas Commun. Ke Tang, Peng Yang, Xin Yao
2016	J	`jnl`	Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao
2016	A*	`conf`	Parallel Pareto Optimization for Subset Selection. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016	J	`jnl`	Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN. CoRR Guiying Li, Junlong Liu, Chunhui Jiang, Ke Tang
2016	B	`conf`	Search based recommender system using many-objective evolutionary algorithm. CEC Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
2016	A	`conf`	Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. PPSN Chao Qian, Ke Tang, Zhi-Hua Zhou
2016	J	`jnl`	Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems. Memetic Comput. Xiao-Peng Ji, Xianbin Cao, Ke Tang
2016	A	`conf`	Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. PPSN Xiaofen Lu, Ke Tang, Xin Yao
2016	J	`jnl`	Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. IEEE Trans. Evol. Comput. Bingdong Li, Ke Tang, Jinlong Li, Xin Yao
2016	J	`jnl`	Success Probability of Exploration: a Concrete Analysis of Learning Efficiency. CoRR Liangpeng Zhang, Ke Tang, Xin Yao
2016	J	`jnl`	Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. Zhenyu Yang, Bernhard Sendhoff, Ke Tang, Xin Yao
2015	J	`jnl`	A Learning-to-Rank Approach to Software Defect Prediction. IEEE Trans. Reliab. Xiaoxing Yang, Ke Tang, Xin Yao
2015	—	`conf`	A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm. GECCO (Companion) Guanbo Jia, Shan He, Zexuan Zhu, Jing Liu, Ke Tang
2015	B	`conf`	A new Evolutionary multi-objective algorithm for Convex Hull Maximization. CEC Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang, Ke Tang
2015	A*	`conf`	Active Learning from Crowds with Unsure Option. IJCAI Jinhong Zhong, Ke Tang, Zhi-Hua Zhou
2015	—	`ed.`	Bio-Inspired Computing - Theories and Applications - 10th International Conference, BIC-TA 2015, Hefei, China, September 25-28, 2015, Proceedings BIC-TA Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, Xingyi Zhang
2015	J	`jnl`	Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, A. K. Qin
2015	J	`jnl`	Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Trans. Evol. Comput. Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2015	J	`jnl`	Designing benchmark problems for large-scale continuous optimization. Inf. Sci. Mohammad Nabi Omidvar, Xiaodong Li, Ke Tang
2015	J	`jnl`	Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization". Inf. Sci. Xiaodong Li, Ke Tang, Ponnuthurai N. Suganthan, Zhenyu Yang
2015	B	`conf`	Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis. CEC Yuzhou Wu, Yu Sun, Xinle Liang, Ke Tang, Zixing Cai
2015	J	`jnl`	History-Based Topological Speciation for Multimodal Optimization. IEEE Trans. Evol. Comput. Lingxi Li, Ke Tang
2015	J	`jnl`	Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. IEEE Trans. Cybern. Peng Yang, Ke Tang, Xiaofen Lu
2015	A*	`conf`	Increasingly Cautious Optimism for Practical PAC-MDP Exploration. IJCAI Liangpeng Zhang, Ke Tang, Xin Yao
2015	B	`conf`	Local ensemble surrogate assisted crowding differential evolution. CEC Chen Jin, A. K. Qin, Ke Tang
2015	J	`jnl`	Many-Objective Evolutionary Algorithms: A Survey. ACM Comput. Surv. Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
2015	J	`jnl`	Negatively Correlated Cooperative Search. CoRR Ke Tang, Peng Yang, Xin Yao
2015	J	`jnl`	Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. IEEE Trans. Robotics Peng Yang, Ke Tang, José Antonio Lozano, Xianbin Cao
2015	B	`conf`	QoS-aware long-term based service composition in cloud computing. CEC Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao
2015	J	`jnl`	Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2014	J	`jnl`	A new self-adaptation scheme for differential evolution. Neurocomputing Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
2014	J	`jnl`	A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
2014	B	`conf`	An improved Two Archive Algorithm for Many-Objective optimization. IEEE Congress on Evolutionary Computation Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
2014	A*	`conf`	ArchRanker: A ranking approach to design space exploration. ISCA Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen
2014	J	`jnl`	Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Comput. Intell. Mag. Thomas Weise, Raymond Chiong, Jörg Lässig, Ke Tang, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, Xin Yao
2014	B	`conf`	Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. IEEE Congress on Evolutionary Computation Peng Yang, Ke Tang, José Antonio Lozano
2014	B	`conf`	Evolving exact integer algorithms with Genetic Programming. IEEE Congress on Evolutionary Computation Thomas Weise, Mingxu Wan, Ke Tang, Xin Yao
2014	B	`conf`	Finding convex hull vertices in metric space. IJCNN Jinhong Zhong, Ke Tang, A. K. Qin
2014	J	`jnl`	Frequency Fitness Assignment. IEEE Trans. Evol. Comput. Thomas Weise, Mingxu Wan, Pu Wang, Ke Tang, Alexandre Devert, Xin Yao
2014	J	`jnl`	Multiobjective genetic programming for maximizing ROC performance. Neurocomputing Pu Wang, Ke Tang, Thomas Weise, Edward P. K. Tsang, Xin Yao
2014	J	`jnl`	Population-based Algorithm Portfolios with automated constituent algorithms selection. Inf. Sci. Ke Tang, Fei Peng, Guoliang Chen, Xin Yao
2014	B	`conf`	Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. IEEE Congress on Evolutionary Computation A. K. Qin, Ke Tang, Hong Pan, Si-Yu Xia
2014	—	`ed.`	Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings SEAL Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
2014	—	`conf`	The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
2014	B	`conf`	What are dynamic optimization problems? IEEE Congress on Evolutionary Computation Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao
2013	J	`jnl`	A framework for finding robust optimal solutions over time. Memetic Comput. Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao
2013	—	`conf`	A memetic algorithm for uncertain Capacitated Arc Routing Problems. Memetic Computing Juan Wang, Ke Tang, Xin Yao
2013	C	`conf`	Combining Semi-Supervised and active learning for hyperspectral image classification. CIDM Mingzhi Li, Rui Wang, Ke Tang
2013	J	`jnl`	Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance CoRR Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2013	J	`jnl`	Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification. IEEE Trans. Neural Networks Learn. Syst. Minlong Lin, Ke Tang, Xin Yao
2013	B	`conf`	Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2013	C	`conf`	Gradient Boosting-Based Negative Correlation Learning. IDEAL Lunjun Wan, Ke Tang, Rui Wang
2013	B	`conf`	Impact of problem decomposition on Cooperative Coevolution. IEEE Congress on Evolutionary Computation Wenxiang Chen, Ke Tang
2013	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings IDEAL Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao
2013	C	`conf`	Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. IDEAL Lili Zhuang, Ke Tang, Yaochu Jin
2013	A*	`conf`	Pipe failure prediction: A data mining method. ICDE Rui Wang, Weishan Dong, Yu Wang, Ke Tang, Xin Yao
2013	C	`conf`	Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution. IDEAL Jinpeng Liu, Ke Tang
2013	C	`conf`	Semi-supervised Ranking via List-Wise Approach. IDEAL Zhigao Miao, Ke Tang
2012	J	`jnl`	A Large Population Size Can Be Unhelpful in Evolutionary Algorithms CoRR Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
2012	C	`conf`	A Learning-to-Rank Algorithm for Constructing Defect Prediction Models. IDEAL Xiaoxing Yang, Ke Tang, Xin Yao
2012	J	`jnl`	A Study on Scalable Representations for Evolutionary Optimization of Ground Structures. Evol. Comput. Alexandre Devert, Thomas Weise, Ke Tang
2012	A	`conf`	A developmental solution to (dynamic) capacitated arc routing problems using genetic programming. GECCO Thomas Weise, Alexandre Devert, Ke Tang
2012	J	`jnl`	A large population size can be unhelpful in evolutionary algorithms. Theor. Comput. Sci. Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
2012	J	`jnl`	An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model. IEEE Trans. Syst. Man Cybern. Part C Zhenyu Yang, Xiaoli Li, Chris P. Bowers, Thorsten Schnier, Ke Tang, Xin Yao
2012	J	`jnl`	An Empirical Study of MAUC in Multi-class Problems with Uncertain Cost Matrices CoRR Rui Wang, Ke Tang
2012	B	`conf`	Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2012	J	`jnl`	Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems. J. Comput. Sci. Technol. Xiaofen Lu, Ke Tang
2012	—	`conf`	Community Detection Using Cooperative Co-evolutionary Differential Evolution. PPSN (2) Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He, John K. Heath, Xin Yao
2012	J	`jnl`	Evolutionary Optimization: Pitfalls and Booby Traps. J. Comput. Sci. Technol. Thomas Weise, Raymond Chiong, Ke Tang
2012	J	`jnl`	Evolving Distributed Algorithms With Genetic Programming. IEEE Trans. Evol. Comput. Thomas Weise, Ke Tang
2012	J	`jnl`	Feature selection for MAUC-oriented classification systems. Neurocomputing Rui Wang, Ke Tang
2012	J	`jnl`	Minimax Classifier for Uncertain Costs CoRR Rui Wang, Ke Tang
2012	J	`jnl`	Using computational intelligence for large scale air route networks design. Appl. Soft Comput. Kaiquan Cai, Jun Zhang, Chi Zhou, Xianbin Cao, Ke Tang
2011	B	`conf`	A Memetic Genetic Programming with decision tree-based local search for classification problems. IEEE Congress on Evolutionary Computation Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao
2011	—	`conf`	Alleviate the Hypervolume Degeneration Problem of NSGA-II. ICONIP (2) Fei Peng, Ke Tang
2011	B	`conf`	Classification-assisted Differential Evolution for computationally expensive problems. IEEE Congress on Evolutionary Computation Xiaofen Lu, Ke Tang, Xin Yao
2011	B	`conf`	Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network. ICTAI Mingming Xiao, Jun Zhang, Kaiquan Cai, Xianbin Cao, Ke Tang
2011	J	`jnl`	Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. Yi Mei, Ke Tang, Xin Yao
2011	J	`jnl`	Feature Selection for MAUC-Oriented Classification Systems CoRR Rui Wang, Ke Tang
2011	J	`jnl`	Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate. Sci. China Inf. Sci. Xin Yu, Ke Tang, Xin Yao
2011	—	`conf`	Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets. PAKDD (2) Xiannian Fan, Ke Tang, Thomas Weise
2011	B	`conf`	Novel Loop Structures and the Evolution of Mathematical Algorithms. EuroGP Mingxu Wan, Thomas Weise, Ke Tang
2011	J	`jnl`	Scalability of generalized adaptive differential evolution for large-scale continuous optimization. Soft Comput. Zhenyu Yang, Ke Tang, Xin Yao
2011	—	`conf`	Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions. SoCPaR Lisong Chen, Huanhuan Chen, Ke Tang
2011	J	`jnl`	The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization CoRR Tianshi Chen, Yunji Chen, Ke Tang, Guoliang Chen, Xin Yao
2011	A*	`conf`	Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. AAAI Ke Tang, Rui Wang, Tianshi Chen
2010	J	`jnl`	A Memetic Algorithm for Multi-Level Redundancy Allocation. IEEE Trans. Reliab. Zai Wang, Ke Tang, Xin Yao
2010	—	`conf`	AOAB: automated optimization algorithm benchmarking. GECCO (Companion) Thomas Weise, Li Niu, Ke Tang
2010	J	`jnl`	Analysis of Computational Time of Simple Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
2010	B	`conf`	Capacitated arc routing problem in uncertain environments. IEEE Congress on Evolutionary Computation Yi Mei, Ke Tang, Xin Yao
2010	—	`conf`	Enhanced Maximum AUC Linear Classifier. FSKD Xiannian Fan, Ke Tang
2010	—	`conf`	Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. HAIS (1) Xiaofen Lu, Ke Tang, Xin Yao
2010	J	`jnl`	Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Comput. Ke Tang, Kay Chen Tan, Hisao Ishibuchi
2010	—	`conf`	Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning. PPSN (2) Wenxiang Chen, Thomas Weise, Zhenyu Yang, Ke Tang
2010	B	`conf`	Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu
2010	J	`jnl`	Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems. IEEE Trans. Reliab. Zai Wang, Ke Tang, Xin Yao
2010	J	`jnl`	Population-Based Algorithm Portfolios for Numerical Optimization. IEEE Trans. Evol. Comput. Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
2010	—	`conf`	QoS-aware semantic web service composition for SOAs. SOCA Xin Yu, Thomas Weise, Ke Tang, Steffen Bleul
2010	B	`conf`	Robust optimization over time - A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation Xin Yu, Yaochu Jin, Ke Tang, Xin Yao
2010	—	`conf`	Using GP to evolve decision rules for classification in financial data sets. IEEE ICCI Pu Wang, Edward P. K. Tsang, Thomas Weise, Ke Tang, Xin Yao
2009	J	`jnl`	A Global Repair Operator for Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B Yi Mei, Ke Tang, Xin Yao
2009	B	`conf`	A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. IEEE Congress on Evolutionary Computation Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
2009	B	`conf`	A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. IEEE Congress on Evolutionary Computation Yunji Chen, Ke Tang, Tianshi Chen
2009	B	`conf`	An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. IEEE Congress on Evolutionary Computation Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Arthur C. Sanderson
2009	B	`conf`	Diversity exploration and negative correlation learning on imbalanced data sets. IJCNN Shuo Wang, Ke Tang, Xin Yao
2009	J	`jnl`	Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memetic Comput. Xin Yu, Ke Tang, Tianshi Chen, Xin Yao
2009	—	`conf`	Feature Selection for Maximizing the Area Under the ROC Curve. ICDM Workshops Rui Wang, Ke Tang
2009	J	`jnl`	From nature to computing and back. Frontiers Comput. Sci. China Ke Tang, Xin Yao
2009	B	`conf`	Improved memetic algorithm for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation Yi Mei, Ke Tang, Xin Yao
2009	J	`jnl`	Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. Ke Tang, Yi Mei, Xin Yao
2009	B	`conf`	Multi-start JADE with knowledge transfer for numerical optimization. IEEE Congress on Evolutionary Computation Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
2009	B	`conf`	Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. IEEE Congress on Evolutionary Computation Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
2009	J	`jnl`	Selective negative correlation learning approach to incremental learning. Neurocomputing Ke Tang, Minlong Lin, Fernanda L. Minku, Xin Yao
2009	C	`conf`	The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. IDEAL Xiaoxing Yang, Ke Tang, Xin Yao
2009	B	`conf`	When is an estimation of distribution algorithm better than an evolutionary algorithm? IEEE Congress on Evolutionary Computation Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao
2008	B	`conf`	A multi-objective approach to testing resource allocation in modular software systems. IEEE Congress on Evolutionary Computation Zai Wang, Ke Tang, Xin Yao
2008	B	`conf`	A multi-objective evolutionary approach to aircraft landing scheduling problems. IEEE Congress on Evolutionary Computation Ke Tang, Zai Wang, Xianbin Cao, Jun Zhang
2008	B	`conf`	An immigrants scheme based on environmental information for genetic algorithms in changing environments. IEEE Congress on Evolutionary Computation Xin Yu, Ke Tang, Xin Yao
2008	J	`jnl`	Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. Zhenyu Yang, Ke Tang, Xin Yao
2008	B	`conf`	Multilevel cooperative coevolution for large scale optimization. IEEE Congress on Evolutionary Computation Zhenyu Yang, Ke Tang, Xin Yao
2008	B	`conf`	Selective negative correlation learning algorithm for incremental learning. IJCNN Minlong Lin, Ke Tang, Xin Yao
2008	B	`conf`	Self-adaptive differential evolution with neighborhood search. IEEE Congress on Evolutionary Computation Zhenyu Yang, Ke Tang, Xin Yao
2008	J	`jnl`	Special Issue on "Nature Inspired Problem-Solving". Inf. Sci. Ke Tang, Xin Yao
2007	B	`conf`	Differential evolution for high-dimensional function optimization. IEEE Congress on Evolutionary Computation Zhenyu Yang, Ke Tang, Xin Yao
2007	B	`conf`	On the analysis of average time complexity of estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao