On the analysis of average time complexity of estimation of distribution algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2007)

Differential evolution for high-dimensional function optimization. - Zhenyu Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2007)

A multi-objective evolutionary approach to aircraft landing scheduling problems. - Ke Tang 001; Zai Wang; Xianbin Cao 001; Jun Zhang 007 (IEEE Congress on Evolutionary Computation, 2008)

A multi-objective approach to testing resource allocation in modular software systems. - Zai Wang; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2008)

Self-adaptive differential evolution with neighborhood search. - Zhenyu Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2008)

Multilevel cooperative coevolution for large scale optimization. - Zhenyu Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2008)

An immigrants scheme based on environmental information for genetic algorithms in changing environments. - Xin Yu 007; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2008)

Selective negative correlation learning algorithm for incremental learning. - Minlong Lin; Ke Tang 001; Xin Yao 001 (IJCNN, 2008)

Special Issue on "Nature Inspired Problem-Solving". - Ke Tang 001; Xin Yao 001 (Inf. Sci., 2008)

Large scale evolutionary optimization using cooperative coevolution. - Zhenyu Yang 008; Ke Tang 001; Xin Yao 001 (Inf. Sci., 2008)

When is an estimation of distribution algorithm better than an evolutionary algorithm? - Tianshi Chen 002; Per Kristian Lehre; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. - Yunji Chen; Ke Tang 001; Tianshi Chen 002 (IEEE Congress on Evolutionary Computation, 2009)

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

Improved memetic algorithm for Capacitated Arc Routing Problem. - Yi Mei 001; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

Multi-start JADE with knowledge transfer for numerical optimization. - Fei Peng; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. - Zai Wang; Tianshi Chen 002; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. - Zhenyu Yang 008; Jingqiao Zhang; Ke Tang 001; Xin Yao 001; Arthur C. Sanderson (IEEE Congress on Evolutionary Computation, 2009)

Feature Selection for Maximizing the Area Under the ROC Curve. - Rui Wang 022; Ke Tang 001 (ICDM Workshops, 2009)

The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. - Xiaoxing Yang; Ke Tang 001; Xin Yao 001 (IDEAL, 2009)

Diversity exploration and negative correlation learning on imbalanced data sets. - Shuo Wang 005; Ke Tang 001; Xin Yao 001 (IJCNN, 2009)

From nature to computing and back. - Ke Tang 001; Xin Yao 001 (Frontiers Comput. Sci. China, 2009)

Selective negative correlation learning approach to incremental learning. - Ke Tang 001; Minlong Lin; Fernanda L. Minku; Xin Yao 001 (Neurocomputing, 2009)

Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. - Xin Yu 007; Ke Tang 001; Tianshi Chen 002; Xin Yao 001 (Memetic Comput., 2009)

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems. - Ke Tang 001; Yi Mei 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2009)

A Global Repair Operator for Capacitated Arc Routing Problem. - Yi Mei 001; Ke Tang 001; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Using GP to evolve decision rules for classification in financial data sets. - Pu Wang; Edward P. K. Tsang; Thomas Weise 001; Ke Tang 001; Xin Yao 001 (IEEE ICCI, 2010)

Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. - Haobo Fu; Yi Mei 001; Ke Tang 001; Yanbo Zhu (IEEE Congress on Evolutionary Computation, 2010)

Capacitated arc routing problem in uncertain environments. - Yi Mei 001; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2010)

Robust optimization over time - A new perspective on dynamic optimization problems. - Xin Yu 007; Yaochu Jin; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2010)

Enhanced Maximum AUC Linear Classifier. - Xiannian Fan; Ke Tang 001 (FSKD, 2010)

AOAB: automated optimization algorithm benchmarking. - Thomas Weise 001; Li Niu; Ke Tang 001 (GECCO (Companion), 2010)

Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. - Xiaofen Lu; Ke Tang 001; Xin Yao 001 (HAIS (1), 2010)

Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning. - Wenxiang Chen; Thomas Weise 001; Zhenyu Yang 008; Ke Tang 001 (PPSN (2), 2010)

QoS-aware semantic web service composition for SOAs. - Xin Yu 007; Thomas Weise 001; Ke Tang 001; Steffen Bleul (SOCA, 2010)

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

Analysis of Computational Time of Simple Estimation of Distribution Algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2010)

Population-Based Algorithm Portfolios for Numerical Optimization. - Fei Peng; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2010)

Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems. - Zai Wang; Ke Tang 001; Xin Yao 001 (IEEE Trans. Reliab., 2010)

A Memetic Algorithm for Multi-Level Redundancy Allocation. - Zai Wang; Ke Tang 001; Xin Yao 001 (IEEE Trans. Reliab., 2010)

Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. - Ke Tang 001; Rui Wang 022; Tianshi Chen 002 (AAAI, 2011)

Classification-assisted Differential Evolution for computationally expensive problems. - Xiaofen Lu; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2011)

A Memetic Genetic Programming with decision tree-based local search for classification problems. - Pu Wang; Ke Tang 001; Edward P. K. Tsang; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2011)

Novel Loop Structures and the Evolution of Mathematical Algorithms. - Mingxu Wan; Thomas Weise 001; Ke Tang 001 (EuroGP, 2011)

Alleviate the Hypervolume Degeneration Problem of NSGA-II. - Fei Peng; Ke Tang 001 (ICONIP (2), 2011)

Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network. - Mingming Xiao; Jun Zhang 007; Kaiquan Cai; Xianbin Cao 001; Ke Tang 001 (ICTAI, 2011)

Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets. - Xiannian Fan; Ke Tang 001; Thomas Weise 001 (PAKDD (2), 2011)

Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions. - Lisong Chen; Huanhuan Chen; Ke Tang 001 (SoCPaR, 2011)

Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate. - Xin Yu 007; Ke Tang 001; Xin Yao 001 (Sci. China Inf. Sci., 2011)

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization - Tianshi Chen 002; Yunji Chen; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (CoRR, 2011)

Scalability of generalized adaptive differential evolution for large-scale continuous optimization. - Zhenyu Yang 008; Ke Tang 001; Xin Yao 001 (Soft Comput., 2011)

Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. - Yi Mei 001; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2011)

Characterizing environmental changes in Robust Optimization Over Time. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2012)

A developmental solution to (dynamic) capacitated arc routing problems using genetic programming. - Thomas Weise 001; Alexandre Devert; Ke Tang 001 (GECCO, 2012)

A Learning-to-Rank Algorithm for Constructing Defect Prediction Models. - Xiaoxing Yang; Ke Tang 001; Xin Yao 001 (IDEAL, 2012)

Community Detection Using Cooperative Co-evolutionary Differential Evolution. - Qiang Huang; Thomas White; Guanbo Jia; Mirco Musolesi; Nil Turan; Ke Tang 001; Shan He 001; John K. Heath; Xin Yao 001 (PPSN (2), 2012)

Using computational intelligence for large scale air route networks design. - Kaiquan Cai; Jun Zhang 007; Chi Zhou; Xianbin Cao 001; Ke Tang 001 (Appl. Soft Comput., 2012)

Minimax Classifier for Uncertain Costs - Rui Wang 022; Ke Tang 001 (CoRR, 2012)

An Empirical Study of MAUC in Multi-class Problems with Uncertain Cost Matrices - Rui Wang 022; Ke Tang 001 (CoRR, 2012)

A Study on Scalable Representations for Evolutionary Optimization of Ground Structures. - Alexandre Devert; Thomas Weise 001; Ke Tang 001 (Evol. Comput., 2012)

Feature selection for MAUC-oriented classification systems. - Rui Wang 022; Ke Tang 001 (Neurocomputing, 2012)

Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems. - Xiaofen Lu; Ke Tang 001 (J. Comput. Sci. Technol., 2012)

Evolutionary Optimization: Pitfalls and Booby Traps. - Thomas Weise 001; Raymond Chiong; Ke Tang 001 (J. Comput. Sci. Technol., 2012)

A large population size can be unhelpful in evolutionary algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (Theor. Comput. Sci., 2012)

Evolving Distributed Algorithms With Genetic Programming. - Thomas Weise 001; Ke Tang 001 (IEEE Trans. Evol. Comput., 2012)

An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model. - Zhenyu Yang 008; Xiaoli Li 002; Chris P. Bowers; Thorsten Schnier; Ke Tang 001; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Impact of problem decomposition on Cooperative Coevolution. - Wenxiang Chen; Ke Tang 001 (IEEE Congress on Evolutionary Computation, 2013)

Combining Semi-Supervised and active learning for hyperspectral image classification. - Mingzhi Li; Rui Wang 022; Ke Tang 001 (CIDM, 2013)

Finding Robust Solutions to Dynamic Optimization Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (EvoApplications, 2013)

Pipe failure prediction: A data mining method. - Rui Wang 022; Weishan Dong; Yu Wang 021; Ke Tang 001; Xin Yao 001 (ICDE, 2013)

Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution. - Jinpeng Liu; Ke Tang 001 (IDEAL, 2013)

Semi-supervised Ranking via List-Wise Approach. - Zhigao Miao; Ke Tang 001 (IDEAL, 2013)

Gradient Boosting-Based Negative Correlation Learning. - Lunjun Wan; Ke Tang 001; Rui Wang 022 (IDEAL, 2013)

Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. - Lili Zhuang; Ke Tang 001; Yaochu Jin (IDEAL, 2013)

A memetic algorithm for uncertain Capacitated Arc Routing Problems. - Juan Wang; Ke Tang 001; Xin Yao 001 (Memetic Computing, 2013)

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance - Pu Wang; Michael Emmerich 001; Rui Li 001; Ke Tang 001; Thomas Bäck; Xin Yao 001 (CoRR, 2013)

A framework for finding robust optimal solutions over time. - Yaochu Jin; Ke Tang 001; Xin Yu 007; Bernhard Sendhoff; Xin Yao 001 (Memetic Comput., 2013)

Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification. - Minlong Lin; Ke Tang 001; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

What are dynamic optimization problems? - Haobo Fu; Peter R. Lewis 001; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

An improved Two Archive Algorithm for Many-Objective optimization. - Bingdong Li; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. - A. Kai Qin; Ke Tang 001; Hong Pan 001; Si-Yu Xia (IEEE Congress on Evolutionary Computation, 2014)

Evolving exact integer algorithms with Genetic Programming. - Thomas Weise 001; Mingxu Wan; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. - Peng Yang 008; Ke Tang 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2014)

Finding convex hull vertices in metric space. - Jinhong Zhong; Ke Tang 001; A. Kai Qin (IJCNN, 2014)

ArchRanker: A ranking approach to design space exploration. - Tianshi Chen 002; Qi Guo 001; Ke Tang 001; Olivier Temam; Zhiwei Xu 002; Zhi-Hua Zhou; Yunji Chen (ISCA, 2014)

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. - Xiaofen Lu; Stefan Menzel; Ke Tang 001; Xin Yao 001 (SEAL, 2014)

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. - Thomas Weise 001; Raymond Chiong; Jörg Lässig; Ke Tang 001; Shigeyoshi Tsutsui; Wenxiang Chen; Zbigniew Michalewicz; Xin Yao 001 (IEEE Comput. Intell. Mag., 2014)

A review of concurrent optimisation methods. - Xiaofen Lu; Ke Tang 001; Bernhard Sendhoff; Xin Yao 001 (Int. J. Bio Inspired Comput., 2014)

A new self-adaptation scheme for differential evolution. - Xiaofen Lu; Ke Tang 001; Bernhard Sendhoff; Xin Yao 001 (Neurocomputing, 2014)

Multiobjective genetic programming for maximizing ROC performance. - Pu Wang; Ke Tang 001; Thomas Weise 001; Edward P. K. Tsang; Xin Yao 001 (Neurocomputing, 2014)

Population-based Algorithm Portfolios with automated constituent algorithms selection. - Ke Tang 001; Fei Peng; Guoliang Chen 001; Xin Yao 001 (Inf. Sci., 2014)

Frequency Fitness Assignment. - Thomas Weise 001; Mingxu Wan; Pu Wang; Ke Tang 001; Alexandre Devert; Xin Yao 001 (IEEE Trans. Evol. Comput., 2014)

A new Evolutionary multi-objective algorithm for Convex Hull Maximization. - Wenjing Hong; Guanzhou Lu; Peng Yang 008; Yong Wang 002; Ke Tang 001 (CEC, 2015)

Local ensemble surrogate assisted crowding differential evolution. - Chen Jin; A. Kai Qin; Ke Tang 001 (CEC, 2015)

QoS-aware long-term based service composition in cloud computing. - Shengcai Liu; Yufan Wei; Ke Tang 001; A. Kai Qin; Xin Yao 001 (CEC, 2015)

Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis. - Yuzhou Wu; Yu Sun 019; Xinle Liang; Ke Tang 001; Zixing Cai (CEC, 2015)

A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm. - Guanbo Jia; Shan He 001; Zexuan Zhu; Jing Liu 006; Ke Tang 001 (GECCO (Companion), 2015)

Increasingly Cautious Optimism for Practical PAC-MDP Exploration. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (IJCAI, 2015)

Active Learning from Crowds with Unsure Option. - Jinhong Zhong; Ke Tang 001; Zhi-Hua Zhou (IJCAI, 2015)

Negatively Correlated Cooperative Search. - Ke Tang 001; Peng Yang 008; Xin Yao 001 (CoRR, 2015)

Many-Objective Evolutionary Algorithms: A Survey. - Bingdong Li; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (ACM Comput. Surv., 2015)

Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization". - Xiaodong Li 001; Ke Tang 001; Ponnuthurai N. Suganthan; Zhenyu Yang 008 (Inf. Sci., 2015)

Designing benchmark problems for large-scale continuous optimization. - Mohammad Nabi Omidvar; Xiaodong Li 001; Ke Tang 001 (Inf. Sci., 2015)

Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. - Peng Yang 008; Ke Tang 001; Xiaofen Lu (IEEE Trans. Cybern., 2015)

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2015)

History-Based Topological Speciation for Multimodal Optimization. - Lingxi Li; Ke Tang 001 (IEEE Trans. Evol. Comput., 2015)

Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. - Pu Wang; Michael Emmerich 001; Rui Li 001; Ke Tang 001; Thomas Bäck; Xin Yao 001 (IEEE Trans. Evol. Comput., 2015)

Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification. - Lunjun Wan; Ke Tang 001; Mingzhi Li; Yanfei Zhong; A. Kai Qin (IEEE Trans. Geosci. Remote. Sens., 2015)

A Learning-to-Rank Approach to Software Defect Prediction. - Xiaoxing Yang; Ke Tang 001; Xin Yao 001 (IEEE Trans. Reliab., 2015)

Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. - Peng Yang 008; Ke Tang 001; José Antonio Lozano 001; Xianbin Cao 001 (IEEE Trans. Robotics, 2015)

Incremental Learning with Concept Drift: A Knowledge Transfer Perspective. - Yu Sun 019; Ke Tang 001 (BIC-TA (1), 2016)

Search based recommender system using many-objective evolutionary algorithm. - Bingdong Li; Chao Qian 001; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (CEC, 2016)

A multi-modal optimization approach to single path planning for unmanned aerial vehicle. - Peng Yang 008; Guanzhou Lu; Ke Tang 001; Xin Yao 001 (CEC, 2016)

Parallel Pareto Optimization for Subset Selection. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (IJCAI, 2016)

A non-parametric approach for learning from crowds. - Jiayi Fu; Jinhong Zhong; Yunfeng Liu; Zhenyu Wang; Ke Tang 001 (IJCNN, 2016)

A trajectory-based approach for object detection from video. - Chunhui Jiang; Guiying Li; Junlong Liu; Yunfeng Liu; Ke Tang 001 (IJCNN, 2016)

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. - Xiaofen Lu; Ke Tang 001; Xin Yao 001 (PPSN, 2016)

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. - Chao Qian 001; Ke Tang 001; Zhi-Hua Zhou (PPSN, 2016)

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability. - Zhilei Ren; He Jiang 001; Jifeng Xuan; Ke Tang 001; Yan Hu (PPSN, 2016)

Target shape design optimization by evolving B-splines with cooperative coevolution. - Zhenyu Yang 008; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (Appl. Soft Comput., 2016)

Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN. - Guiying Li; Junlong Liu; Chunhui Jiang; Ke Tang 001 (CoRR, 2016)

High-dimensional Black-box Optimization via Divide and Approximate Conquer. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (CoRR, 2016)

Success Probability of Exploration: a Concrete Analysis of Learning Efficiency. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (CoRR, 2016)

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. - Jiaqi Zhao 001; Vitor Basto-Fernandes; Licheng Jiao; Iryna Yevseyeva; Asep Maulana; Rui Li 001; Thomas Bäck; Ke Tang 001; Michael T. M. Emmerich (Inf. Sci., 2016)

Global versus local search: the impact of population sizes on evolutionary algorithm performance. - Thomas Weise 001; Yuezhong Wu; Raymond Chiong; Ke Tang 001; Jörg Lässig (J. Glob. Optim., 2016)

Negatively Correlated Search. - Ke Tang 001; Peng Yang 008; Xin Yao 001 (IEEE J. Sel. Areas Commun., 2016)

Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance. - Wenjing Hong; Ke Tang 001 (Memetic Comput., 2016)

Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems. - Xiao-Peng Ji; Xianbin Cao 001; Ke Tang 001 (Memetic Comput., 2016)

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. - Shan He 001; Guanbo Jia; Zexuan Zhu; Dan A. Tennant; Qiang Huang; Ke Tang 001; Jing Liu 006; Mirco Musolesi; John K. Heath; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. - Bingdong Li; Ke Tang 001; Jinlong Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems. - Juan Wang; Ke Tang 001; José Antonio Lozano 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Online Ensemble Learning of Data Streams with Gradually Evolved Classes. - Yu Sun 019; Ke Tang 001; Leandro L. Minku; Shuo Wang 005; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2016)

Enhanced Pairwise Learning for Personalized Ranking from Implicit Feedback. - Yunzhou Zhang; Bo Yuan 006; Ke Tang 001 (BIC-TA, 2017)

Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. - Chao Qian 001; Chao Bian 002; Wu Jiang; Ke Tang 001 (GECCO, 2017)

On Subset Selection with General Cost Constraints. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001 (IJCAI, 2017)

Optimizing Ratio of Monotone Set Functions. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (IJCAI, 2017)

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. - Guiying Li; Junlong Liu; Chunhui Jiang; Liangpeng Zhang; Minlong Lin; Ke Tang 001 (ISNN (1), 2017)

A Selective Transfer Learning Method for Concept Drift Adaptation. - Ge Xie; Yu Sun 019; Minlong Lin; Ke Tang 001 (ISNN (2), 2017)

Subset Selection under Noise. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (NIPS, 2017)

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (NIPS, 2017)

Memetic algorithm with route decomposing for periodic capacitated arc routing problem. - Yuzhou Zhang; Yi Mei 001; Ke Tang 001; Keqin Jiang (Appl. Soft Comput., 2017)

Search Based Software Engineering [Guest Editorial]. - He Jiang 001; Ke Tang 001; Justyna Petke; Mark Harman (IEEE Comput. Intell. Mag., 2017)

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. - Xingyi Zhang 001; Fuchen Duan; Lei Zhang 060; Fan Cheng 001; Yaochu Jin; Ke Tang 001 (IEEE Comput. Intell. Mag., 2017)

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. - Bingshui Da; Yew-Soon Ong; Liang Feng 001; A. Kai Qin; Abhishek Gupta 001; Zexuan Zhu; Chuan-Kang Ting; Ke Tang 001; Xin Yao 001 (CoRR, 2017)

Experience-based Optimization: A Coevolutionary Approach. - Shengcai Liu; Ke Tang 001; Xin Yao 001 (CoRR, 2017)

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (CoRR, 2017)

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Xin Yao 001; Zhi-Hua Zhou (CoRR, 2017)

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104]. - Jiaqi Zhao 001; Vitor Basto-Fernandes; Licheng Jiao; Iryna Yevseyeva; Asep Maulana; Rui Li 001; Thomas Bäck; Ke Tang 001; Michael T. M. Emmerich (Inf. Sci., 2017)

An evolutionary approach for dynamic single-runway arrival sequencing and scheduling problem. - Xiao-Peng Ji; Xian-Bin Cao 001; Wenbo Du 001; Ke Tang 001 (Soft Comput., 2017)

A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. - Ke Tang 001; Juan Wang; Xiaodong Li 001; Xin Yao 001 (IEEE Trans. Cybern., 2017)

Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management. - Kaiquan Cai; Jun Zhang 007; Ming-Ming Xiao; Ke Tang 001; Wenbo Du 001 (IEEE Trans. Intell. Transp. Syst., 2017)

A Quality-Sensitive Method for Learning from Crowds. - Jinhong Zhong; Peng Yang 008; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2017)

On Multiset Selection With Size Constraints. - Chao Qian 001; Yibo Zhang; Ke Tang 001; Xin Yao 001 (AAAI, 2018)

Improved Running Time Analysis of the (1+1)-ES on the Sphere Function. - Wu Jiang; Chao Qian 001; Ke Tang 001 (ICIC (1), 2018)

Dynamic Mutation Based Pareto Optimization for Subset Selection. - Mengxi Wu; Chao Qian 001; Ke Tang 001 (ICIC (3), 2018)

A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. - Chao Bian 002; Chao Qian 001; Ke Tang 001 (IJCAI, 2018)

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. - Chunhui Jiang; Guiying Li; Chao Qian 001; Ke Tang 001 (IJCAI, 2018)

Generalization Bounds for Regularized Pairwise Learning. - Yunwen Lei; Shao-Bo Lin; Ke Tang 001 (IJCAI, 2018)

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. - Guiying Li; Chao Qian 001; Chunhui Jiang; Xiaofen Lu; Ke Tang 001 (IJCAI, 2018)

Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. - Chao Qian 001; Yang Yu 001; Ke Tang 001 (IJCAI, 2018)

Sequence Selection by Pareto Optimization. - Chao Qian 001; Chao Feng 006; Ke Tang 001 (IJCAI, 2018)

Distributed Pareto Optimization for Subset Selection. - Chao Qian 001; Guiying Li; Chao Feng 006; Ke Tang 001 (IJCAI, 2018)

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities. - Yunwen Lei; Ke Tang 001 (NeurIPS, 2018)

Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. - Chao Bian 002; Chao Qian 001; Ke Tang 001 (PPSN (2), 2018)

A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. - Dongjun Qian; Peng Yang 008; Ke Tang 001 (PRICAI (1), 2018)

The networked evolutionary algorithm: A network science perspective. - Wenbo Du 001; Mingyuan Zhang; Wen Ying; Matjaz Perc; Ke Tang 001; Xianbin Cao 001; Dapeng Wu 001 (Appl. Math. Comput., 2018)

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features. - Thomas Weise 001; Xiaofeng Wang 009; Qi Qi 006; Bin Li 025; Ke Tang 001 (Appl. Soft Comput., 2018)

Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization. - Yibo Zhang; Chao Qian 001; Ke Tang 001 (CoRR, 2018)

Attributed Network Embedding for Incomplete Structure Information. - Chengbin Hou; Shan He 001; Ke Tang 001 (CoRR, 2018)

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Yaochu Jin; Xin Yao 001; Zhi-Hua Zhou (Evol. Comput., 2018)

Preselection via classification: A case study on evolutionary multiobjective optimization. - Jinyuan Zhang; Aimin Zhou; Ke Tang 001; Guixu Zhang (Inf. Sci., 2018)

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. - Xiaofen Lu; Stefan Menzel; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. - Chao Qian 001; Jing-Cheng Shi; Ke Tang 001; Zhi-Hua Zhou (IEEE Trans. Evol. Comput., 2018)

Turning High-Dimensional Optimization Into Computationally Expensive Optimization. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Concept Drift Adaptation by Exploiting Historical Knowledge. - Yu Sun 019; Ke Tang 001; Zexuan Zhu; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Unsupervised Feature Selection by Pareto Optimization. - Chao Feng 006; Chao Qian 001; Ke Tang 001 (AAAI, 2019)

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. - Shengcai Liu; Ke Tang 001; Xin Yao 001 (AAAI, 2019)

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. - Weiming Liu 004; Yinda Zhou; Bin Li 025; Ke Tang 001 (CEC, 2019)

Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. - Dongbin Jiao; Peng Yang 008; Liqun Fu 001; Liangjun Ke; Ke Tang 001 (ICC, 2019)

Optimal Stochastic and Online Learning with Individual Iterates. - Yunwen Lei; Peng Yang 008; Ke Tang 001; Ding-Xuan Zhou (NeurIPS, 2019)

Explicit Planning for Efficient Exploration in Reinforcement Learning. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (NeurIPS, 2019)

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Access, 2019)

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Xin Yao 001; Zhi-Hua Zhou (Artif. Intell., 2019)

Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise. - Chao Qian 001; Chao Bian 002; Wu Jiang; Ke Tang 001 (Algorithmica, 2019)

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. - Yunwen Lei; Ting Hu 002; Ke Tang 001 (CoRR, 2019)

Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. - Chao Bian 002; Chao Qian 001; Ke Tang 001 (CoRR, 2019)

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding. - Chengbin Hou; Han Zhang; Ke Tang 001; Shan He 001 (CoRR, 2019)

Competitive Co-evolution for Dynamic Constrained Optimisation. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (CoRR, 2019)

Negatively Correlated Search as a Parallel Exploration Search Strategy. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (CoRR, 2019)

Preface. - José Antonio Lozano 001; Ke Tang 001; Xin Yao 001 (Nat. Comput., 2019)

Evolutionary optimization with hierarchical surrogates. - Xiaofen Lu; Tao Sun 005; Ke Tang 001 (Swarm Evol. Comput., 2019)

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (IEEE Trans. Cybern., 2019)

A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. - Wenjing Hong; Ke Tang 001; Aimin Zhou; Hisao Ishibuchi; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

A Survey on Cooperative Co-Evolutionary Algorithms. - Xiaoliang Ma 001; Xiaodong Li 001; Qingfu Zhang 001; Ke Tang 001; Zhengping Liang; Weixin Xie; Zexuan Zhu (IEEE Trans. Evol. Comput., 2019)

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

On Performance Estimation in Automatic Algorithm Configuration. - Shengcai Liu; Ke Tang 001; Yunwen Lei; Xin Yao 001 (AAAI, 2020)

Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. - Wenjing Hong; Peng Yang 008; Yiwen Wang; Ke Tang 001 (PPSN (1), 2020)

A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (SSCI, 2020)

ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics. - Ning Shi; Zexuan Zhu; Ke Tang 001; David Parker 001; Shan He 001 (Bioinform., 2020)

Few-shots Parameter Tuning via Co-evolution. - Ke Tang 001; Shengcai Liu; Peng Yang 008; Xin Yao 001 (CoRR, 2020)

RoSANE: Robust and scalable attributed network embedding for sparse networks. - Chengbin Hou; Shan He 001; Ke Tang 001 (Neurocomputing, 2020)

Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. - Dongbin Jiao; Peng Yang 008; Liqun Fu 001; Liangjun Ke; Ke Tang 001 (IEEE Internet Things J., 2020)

Running time analysis of the (1+1)-EA for robust linear optimization. - Chao Bian 002; Chao Qian 001; Ke Tang 001; Yang Yu 001 (Theor. Comput. Sci., 2020)

An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. - Feng Wang; Yixuan Li; Aimin Zhou; Ke Tang 001 (IEEE Trans. Evol. Comput., 2020)

Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage. - Wenbo Du 001; Wen Ying; Peng Yang 009; Xianbin Cao 001; Gang Yan; Ke Tang 001; Dapeng Oliver Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. - Yunwen Lei; Ting Hu 002; Guiying Li; Ke Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Particle Swarm Optimization with Moving Particles on Scale-Free Networks. - Di Wu 043; Nan Jiang; Wenbo Du 001; Ke Tang 001; Xianbin Cao 001 (IEEE Trans. Netw. Sci. Eng., 2020)

The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. - Chang Cao; Xiaofen Lu; Yachen Li; Junda Zhu 004; Ke Tang 001 (CEC, 2021)

Towards Robust Dynamic Network Embedding. - Chengbin Hou; Ke Tang 001 (IJCAI, 2021)

Parallel Random Embedding with Negatively Correlated Search. - Qi Yang 010; Peng Yang 008; Ke Tang 001 (ICSI (2), 2021)

Analysis of Noisy Evolutionary Optimization When Sampling Fails. - Chao Qian 001; Chao Bian 002; Yang Yu 001; Ke Tang 001; Xin Yao 001 (Algorithmica, 2021)

On the robustness of median sampling in noisy evolutionary optimization. - Chao Bian 002; Chao Qian 001; Yang Yu 001; Ke Tang 001 (Sci. China Inf. Sci., 2021)

Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. - Jialin Liu 001; Ke Tang 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2021)

A New Knowledge Gradient-based Method for Constrained Bayesian Optimization. - Wenjie Chen; Shengcai Liu; Ke Tang 001 (CoRR, 2021)

Robust Dynamic Network Embedding via Ensembles. - Chengbin Hou; Guoji Fu; Peng Yang 008; Shan He 001; Ke Tang 001 (CoRR, 2021)

Multi-Domain Active Learning: A Comparative Study. - Rui He; Shan He 001; Ke Tang 001 (CoRR, 2021)

HydraText: Multi-objective Optimization for Adversarial Textual Attack. - Shengcai Liu; Ning Lu 006; Cheng Chen; Chao Qian 001; Ke Tang 001 (CoRR, 2021)

Parallel exploration via negatively correlated search. - Peng Yang 008; Qi Yang 010; Ke Tang 001; Xin Yao 001 (Frontiers Comput. Sci., 2021)

Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. - Wenjing Hong; Peng Yang 008; Ke Tang 001 (Int. J. Autom. Comput., 2021)

Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions. - Yunwen Lei; Ting Hu 002; Ke Tang 001 (J. Mach. Learn. Res., 2021)

A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. - Minshi Chen; Jianxun Chen; Peng Yang 008; Shengcai Liu; Ke Tang 001 (Multim. Tools Appl., 2021)

Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives. - Yunwen Lei; Ke Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

An optima-identified framework with brain storm optimization for multimodal optimization problems. - Zeyu Dai 002; Wei Fang 001; Ke Tang 001; Qing Li 001 (Swarm Evol. Comput., 2021)

Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. - Shengcai Liu; Ke Tang 001; Xin Yao 001 (Swarm Evol. Comput., 2021)

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

Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. - Wenjing Hong; Chao Qian 001; Ke Tang 001 (IEEE Trans. Cybern., 2021)

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. - Ke Tang 001; Shengcai Liu; Peng Yang 008; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. - Bo Yuan 006; Xiaofen Lu; Ke Tang 001; Xin Yao 001 (ACM Trans. Embed. Comput. Syst., 2021)

A Survey on Neural Network Interpretability. - Yu Zhang 111; Peter Tiño; Ales Leonardis; Ke Tang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. - Lan Tang; Xiaxi Li; Jinyuan Zhang; Guiying Li; Peng Yang 008; Ke Tang 001 (BIC-TA, 2022)

Disentangled Contrastive Learning for Social Recommendation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qing Li 001; Ke Tang 001 (CIKM, 2022)

Defending Adversarial Examples by Negative Correlation Ensemble. - Wenjian Luo; Hongwei Zhang; Linghao Kong; Zhijian Chen; Ke Tang 001 (DMBD (2), 2022)

GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). - Chengbin Hou; Han Zhang; Shan He 001; Ke Tang 001 (ICDE, 2022)

Zero-Shot Knowledge Graph Completion for Recommendation System. - Zhiyuan Wang; Cheng Chen; Ke Tang 001 (IDEAL, 2022)

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. - Shaohui Peng; Xing Hu 001; Rui Zhang 040; Ke Tang 001; Jiaming Guo; Qi Yi; Ruizhi Chen; Xishan Zhang; Zidong Du; Ling Li 001; Qi Guo 001; Yunji Chen (NeurIPS, 2022)

Training Quantized Deep Neural Networks via Cooperative Coevolution. - Fu Peng; Shengcai Liu; Ning Lu 006; Ke Tang 001 (ICSI (2), 2022)

Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. - Dongbin Jiao; Lingyu Wang; Peng Yang 008; Weibo Yang; Yu Peng; Zhanhuan Shang; Ke Tang 001; Fengyuan Ren (CoRR, 2022)

How Good Is Neural Combinatorial Optimization? - Shengcai Liu; Yu Zhang 111; Ke Tang 001; Xin Yao 001 (CoRR, 2022)

Multi-objective approaches to portfolio optimization with market impact costs. - Hongze Wang; Xuerong Li; Wenjing Hong; Ke Tang 001 (Memetic Comput., 2022)

Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. - Peng Yang 008; Hu Zhang 002; Yanglong Yu; Mingjia Li 002; Ke Tang 001 (Swarm Evol. Comput., 2022)

Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. - Shengcai Liu; Ning Lu 006; Cheng Chen; Ke Tang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Generative Adversarial Construction of Parallel Portfolios. - Shengcai Liu; Ke Tang 001; Xin Yao 001 (IEEE Trans. Cybern., 2022)

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. - Zhi-Zhong Liu; Bing-Chuan Wang; Ke Tang 001 (IEEE Trans. Cybern., 2022)

Gradient Descent Learning With Floats. - Tao Sun 005; Ke Tang 001; Dongsheng Li 001 (IEEE Trans. Cybern., 2022)

Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

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

A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation. - Biyue Li; Wenbo Du 001; Yu Zhang 087; Jun Chen 009; Ke Tang 001; Xianbin Cao 001 (IEEE Trans. Intell. Transp. Syst., 2022)

GloDyNE: Global Topology Preserving Dynamic Network Embedding. - Chengbin Hou; Han Zhang; Shan He 001; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. - Shengcai Liu; Fu Peng; Ke Tang 001 (AAAI, 2023)

Fibrosis Grading Methods for Renal Whole Slide Images Based on Uncertainty Estimation. - Ke Tang 001; Xiuxiu Hu; Pingsheng Chen; Siyu Xia (ACPR (2), 2023)

A Sample Reuse Strategy for Dynamic Influence Maximization Problem. - Shaofeng Zhang; Shengcai Liu; Ke Tang 001 (BIC-TA (2), 2023)

An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. - Donghui Zhao; Xiaofen Lu; Ke Tang 001 (BIC-TA (1), 2023)

Perturbation-Based Two-Stage Multi-Domain Active Learning. - Rui He; Zeyu Dai 001; Shan He 001; Ke Tang 001 (CIKM, 2023)

Multi-Domain Learning from Insufficient Annotations. - Rui He; Shengcai Liu; Jiahao Wu 004; Shan He 001; Ke Tang 001 (ECAI, 2023)

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. - Ning Lu 006; Shengcai Liu; Zhirui Zhang; Qi Wang; Haifeng Liu; Ke Tang 001 (CoRR, 2023)

Large Language Models can be Guided to Evade AI-Generated Text Detection. - Ning Lu 006; Shengcai Liu; Rui He; Qi Wang; Ke Tang 001 (CoRR, 2023)

Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. - Xuanfeng Li; Shengcai Liu; Jin Wang 024; Xiao Chen; Yew-Soon Ong; Ke Tang 001 (CoRR, 2023)

Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. - Wenjie Chen; Shengcai Liu; Yew-Soon Ong; Ke Tang 001 (CoRR, 2023)

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Dataset Condensation for Recommendation. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Migrant Resettlement by Evolutionary Multi-objective Optimization. - Dan-Xuan Liu; Yu-Ran Gu; Chao Qian 001; Xin Mu; Ke Tang 001 (CoRR, 2023)

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (CoRR, 2023)

Pointer Networks Trained Better via Evolutionary Algorithms. - Muyao Zhong; Shengcai Liu; Bingdong Li; Haobo Fu; Ke Tang 001; Peng Yang 008 (CoRR, 2023)

Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. - Chao Qian 001; Dan-Xuan Liu; Chao Feng 006; Ke Tang 001 (Theor. Comput. Sci., 2023)

Fast Multi-Grid Methods for Minimizing Curvature Energies. - Zhenwei Zhang; Ke Chen 002; Ke Tang 001; Yuping Duan (IEEE Trans. Image Process., 2023)

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. - Zeyu Dai 001; Shengcai Liu; Qing Li 001; Ke Tang 001 (ACM Trans. Intell. Syst. Technol., 2023)

Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. - Wenjie Chen; Wenjing Hong; Hu Zhang 002; Peng Yang 008; Ke Tang 001 (IEEE Trans Autom. Sci. Eng., 2023)

Multi-Domain Active Learning: Literature Review and Comparative Study. - Rui He; Shengcai Liu; Shan He 001; Ke Tang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. - Shengcai Liu; Yu Zhang 111; Ke Tang 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2023)

Difficulty and Contribution-Based Cooperative Coevolution for Large-Scale Optimization. - Peilan Xu; Wenjian Luo; Xin Lin 004; Yatong Chang; Ke Tang 001 (IEEE Trans. Evol. Comput., 2023)

A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. - Biyue Li; Tong Guo; Yi Mei 001; Yumeng Li; Jun Chen 009; Yu Zhang 087; Ke Tang 001; Wenbo Du 001 (Swarm Evol. Comput., 2023)

An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. - Wenjing Hong; Cheng Chen; Zexuan Zhu; Ke Tang 001 (CEC, 2024)

Large Language Models as Evolutionary Optimizers. - Shengcai Liu; Caishun Chen; Xinghua Qu; Ke Tang 001; Yew-Soon Ong (CEC, 2024)

Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning. - Hui Ouyang; Cheng Chen; Ke Tang 001 (IIP (1), 2024)

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Yongfan Lu; Zixiang Di; Bingdong Li; Shengcai Liu; Hong Qian; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. - Shengcai Liu; Zhiyuan Wang; Yew-Soon Ong; Xin Yao 001; Ke Tang 001 (CoRR, 2024)

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. - Bingdong Li; Zixiang Di; Yanting Yang; Hong Qian; Peng Yang 008; Hao Hao; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeiyu Dai; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (CoRR, 2024)

Parse Trees Guided LLM Prompt Compression. - Wenhao Mao; Chengbin Hou; Tianyu Zhang; Xinyu Lin; Ke Tang 001; Hairong Lv (CoRR, 2024)

Large Language Models can be Guided to Evade AI-generated Text Detection. - Ning Lu 006; Shengcai Liu; Rui He; Yew-Soon Ong; Qi Wang; Ke Tang 001 (Trans. Mach. Learn. Res., 2024)

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. - Guiying Li; Peng Yang 008; Chao Qian 001; Richang Hong; Ke Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

ESSR: Evolving Sparse Sharing Representation for Multitask Learning. - Yayu Zhang; Yuhua Qian; Guoshuai Ma; Xinyan Liang; Guoqing Liu; Qingfu Zhang 001; Ke Tang 001 (IEEE Trans. Evol. Comput., 2024)

A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management. - Tong Guo; Yi Mei 001; Ke Tang 001; Wenbo Du 001 (IEEE Trans. Evol. Comput., 2024)

A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems. - Zhiyao Zhang; Yong Wang 002; Jiao Liu; Guangyong Sun; Ke Tang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. - Shengcai Liu; Ning Lu 006; Wenjing Hong; Chao Qian 001; Ke Tang 001 (ACM Trans. Evol. Learn. Optim., 2024)

Learning to Construct a Solution for the Agile Satellite Scheduling Problem With Time-Dependent Transition Times. - Ming Chen; Yonghao Du; Ke Tang 001; Lining Xing 001; Yuning Chen; Yingwu Chen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. - Xuanfeng Li; Shengcai Liu; Jin Wang 024; Xiao Chen; Yew-Soon Ong; Ke Tang 001 (IEEE Trans. Cybern., 2024)

Cooperative Co-Evolution for Large-Scale Multiobjective Air Traffic Flow Management. - Tong Guo; Yi Mei 001; Ke Tang 001; Wenbo Du 001 (IEEE Trans. Evol. Comput., 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang; Ke Tang 001; Aimin Zhou (AAAI, 2025)

When Is Non-deteriorating Population Update in MOEAs Beneficial? - Qiaozhi Zhang; Miqing Li; Ke Tang 001; Xin Yao 001 (EMO (2), 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeyu Dai 001; Kun Wang 056; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (ICDE, 2025)

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 001; Yang Yu 001 (ICLR, 2025)

Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (WWW (Companion Volume), 2025)

Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios. - Zhiyuan Wang; Shengcai Liu; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning. - Ziming Wang; Changwu Huang; Ke Tang 001; Xin Yao 001 (CoRR, 2025)

Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search. - Shengcai Liu; Haoze Lv; Zhiyuan Wang; Ke Tang 001 (CoRR, 2025)

Hardware-Aware DNN Compression for Homogeneous Edge Devices. - Kunlong Zhang; Guiying Li; Ning Lu 006; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks. - Jiarui Song; Yunheng Shen; Chengbin Hou; Pengyu Wang; Jinbao Wang; Ke Tang 001; Hairong Lv (CoRR, 2025)

Migrant Resettlement by Evolutionary Multiobjective Optimization. - Dan-Xuan Liu; Yu-Ran Gu; Chao Qian 001; Xin Mu; Ke Tang 001 (IEEE Trans. Artif. Intell., 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-Scale Features Are Effective for Multi-Modal Classification: An Architecture Search Viewpoint. - Pinhan Fu; Xinyan Liang; Yuhua Qian; Qian Guo; Yayu Zhang; Qin Huang 005; Ke Tang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. - Tianyu Zhang; Chengbin Hou; Rui Jiang 001; Xuegong Zhang; Chenghu Zhou; Ke Tang 001; Hairong Lv (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Calibrating Financial Market Simulators with High-frequency Data. - Peng Yang; Junji Ren; Feng Wang; Ke Tang 001 (CoRR, 2025)

Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations. - Rui Xu; Xing Fan; Shengcai Liu; Wenjie Chen; Ke Tang 001 (CoRR, 2025)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. - Zeyu Dai 001; Shengcai Liu; Rui He; Jiahao Wu 004; Ning Lu 006; Wenqi Fan; Qing Li 001; Ke Tang 001 (CoRR, 2025)

Causal Inference-Based Large-Scale Multiobjective Optimization. - Bingdong Li; Yanting Yang; Peng Yang 008; Guiying Li; Ke Tang 001; Aimin Zhou (IEEE Trans. Evol. Comput., 2025)

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. - Ning Lu 006; Shengcai Liu; Jiahao Wu 004; Weiyu Chen; Zhirui Zhang; Yew-Soon Ong; Qi Wang; Ke Tang 001 (CoRR, 2025)

Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network. - Bingdong Li; Mei Jiang; Hong Qian; Ke Tang 001; Aimin Zhou; Peng Yang 008 (CoRR, 2025)

LLM-Driven Instance-Specific Heuristic Generation and Selection. - Shaofeng Zhang; Shengcai Liu; Ning Lu 006; Jiahao Wu 004; Ji Liu; Yew-Soon Ong; Ke Tang 001 (CoRR, 2025)

Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles. - Shengcai Liu; Hui Ouyang; Zhiyuan Wang; Cheng Chen; Qijun Cai; Yew-Soon Ong; Ke Tang 001 (CoRR, 2025)

A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems. - Shenglian Tan; Yong Wang 002; Guangyong Sun; Tong Pang; Ke Tang 001 (IEEE Trans. Evol. Comput., 2025)

Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs. - Qingya Li; Shengcai Liu; Wenjie Chen; Juan Zou; Ke Tang 001; Xin Yao 001 (CoRR, 2025)

Constrained Probabilistic Pareto Dominance for Expensive Constrained Multiobjective Optimization Problems. - Zhiyao Zhang; Yong Wang 002; Guangyong Sun; Tong Pang; Ke Tang 001 (IEEE Trans. Evol. Comput., 2025)

Low-Light Salient Object Detection Meets the Small Size. - Shiqin Wang; Xin Xu 007; Haoyang Chen; Kui Jiang; Zheng Wang 007; Ke Tang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)