Highlighted Paper

On-going Research

Ke Tang, Shengcai Liu, Peng Yang, and Xin Yao. Few-shots Parallel Algorithm Portfolio Construction via Co-evolution. IEEE Transactions on Evolutionary Computation, in press (DOI: 10.1109/TEVC.2021.3059661).
Shengcai Liu, Ke Tang, and Xin Yao. Generative Adversarial Construction of Parallel Portfolios. IEEE Transactions on Cybernetics, in press (DOI: 10.1109/TCYB.2020.2984546).
Shengcai Liu, Ke Tang, and Xin Yao. On Performance Estimation in Automatic Algorithm Configuration. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7-12, 2020.
Shengcai Liu, Ke Tang, and Xin Yao. Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, January 27 – February 1, 2019, pp. 1560-1567.

Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao. Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Transactions on Evolutionary Computation, in press (DOI: 10.1109/TEVC.2021.3104343).
Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, and Ke Tang. Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. Swarm and Evolutionary Computation. 2021, accepted.
Chengbin Hou, Han Zhang, Shan He and Ke Tang. GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Transactions on Knowledge and Data Engineering, in press (DOI: 10.1109/TKDE.2020.3046511).
Yu Sun, Ke Tang, Zexuan Zhu and Xin Yao. Concept Drift Adaptation by Exploiting Historical Knowledge. IEEE Transactions on Neural Networks and Learning Systems, 29(10): 4822-4832, October 2018.
Haobo Fu, B. Sendhoff, Ke Tang and Xin Yao. Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Transactions on Evolutionary Computation, 19(5): 731-745, October 2015.

Wenjing Hong, Chao Qian and Ke Tang. Efficient Minimum Cost Seed Selection with Theoretical Guarantees for Competitive Influence Maximization. IEEE Transactions on Cybernetics, in press (DOI: 10.1109/TCYB.2020.2966593).
Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu and Ke Tang. Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, July 13-19, 2018, pp. 2383-2389.
Wenjing Hong, Peng Yang, Yiwen Wang and Ke Tang. Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. in Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN’20), Leiden, Netherlands, September 5-9, 2020, pp.470-483.

Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi and Xin Yao. A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 23(3): 525-537, June 2019.
Peng Yang, Ke Tang and Xin Yao. Turning High-dimensional Optimization into Computationally Expensive Optimization. IEEE Transactions on Evolutionary Computation, 22(1): 143-156, February 2018.
Ke Tang, Juan Wang Xiaodong Li and Xin Yao. A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Transactions on Cybernetics, 47(11): 3928-3940, November 2017.
Wenxiang Chen, T. Weise, Zhenyu Yang and Ke Tang. Large-Scale Global Optimization using Cooperative Coevolution with Variable Interaction Learning. in Proceedings of the 11th International Conference on Parallel Problem Solving From Nature (PPSN 2010), Kraków, Poland, September 11–15, 2010, pp. 300–309.
Zhenyu Yang, Ke Tang and Xin Yao. Large Scale Evolutionary Optimization Using Cooperative Coevolution. Information Sciences, 178(15): 2985-2999, August 2008.

Xiaofen Lu, Tao Sun, and Ke Tang. Evolutionary Optimization with Hierarchical Surrogates. Swarm and Evolutionary Computation, vol. 47, pp. 21-32, June 2019.
Ke Tang, Peng Yang and Xin Yao. Negatively Correlated Search. IEEE Journal on Selected Areas in Communications, 34(3): 1-9, March 2016.
Peng Yang, Ke Tang and Xin Lu. Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. IEEE Transactions on Cybernetics, 45(8): 1438-1449, August 2015.
Linxi Li and Ke Tang. History-Based Topological Speciation for Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 19(1): 136-150, February 2015.
Fei Peng, Ke Tang, Guoliang Chen and Xin Yao. Population-based Algorithm Portfolios for Numerical Optimization. IEEE Transactions on Evolutionary Computation, 14(5): 782-800, October 2010.

Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi and Xin Yao. A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 23(3): 525-537, June 2019.
Chao Bian, Chao Qian and Ke Tang. A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, July 13-19, 2018, pp. 1405-1411.
Bindong Li, Ke Tang, Jinlong Li and Xin Yao. Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. IEEE Transactions on Evolutionary Computation, 20(6): 924-938, December 2016.
Bindong Li, Jinlong Li, Ke Tang and Xin Yao. Many-Objective Evolutionary Algorithms: A Survey. ACM Computing Surveys, 48(1), Article 13, 35 pages, September 2015.
Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Baeck and Xin Yao. Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Transactions on Evolutionary Computation, 19(2): 188-200, April 2015.

Ke Tang, Juan Wang Xiaodong Li and Xin Yao. A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Transactions on Cybernetics, 47(11): 3928-3940, November 2017.
Juan Wang, Ke Tang, J. A. Lozano and Xin Yao. Estimation of Distribution Algorithm with Stochastic Local Search for Uncertain Capacitated Arc Routing Problems. IEEE Transactions on Evolutionary Computation, 20(1): 96-109, February 2016.
Yi Mei, Ke Tang and Xin Yao. Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation, 15(2): 151-165, April 2011.
Yi Mei, Ke Tang and Xin Yao. A Global Repair Operator for Capacitated Arc Routing Problem. IEEE Transactions on Systems, Man, and Cybernetics: Part B, 39(3): 723-734, June 2009.
Ke Tang, Yi Mei and Xin Yao. Memetic Algorithm with Extended Neighborhood Search for Capacitated Arc Routing Problems. IEEE Transactions on Evolutionary Computation, 13(5): 1151-1166, October 2009.