研究方向

计算智能、演化计算、机器学习

教育背景
◆ 2003-2007，南洋理工大学，博士
◆ 1998-2002，华中科技大学，学士

工作经历

◆2025- : xk星空计算机科学与工程系讲席教授
◆ 2017-2025: xk星空计算机科学与工程系教授
◆ 2007-2017: 中国科学技术大学计算机科学与技术学院副教授、教授

荣誉与奖项

• 教育部特聘教授，2020

• “国家高层次人才特殊支持计划”青年拔尖人才（自然科学类），2019

• IEEE计算智能学会杰出青年奖，2018

•深圳市地方级领军人才，2018

•教育部自然科学一等奖（第4完成人），2017

• 英国皇家学会牛顿高级学者，2015
• 2015年中国电子学会自然科学一等奖（第3完成人），2015
• 2012年教育部新世纪优秀人才，2012
• 2011年教育部自然科学二等奖（第1完成人），2011

代表文章
1. B. Li, K. xk星空中国集团, J. Li and X. Yao, “Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators,” IEEE Transactions on Evolutionary Computation, 20(6): 924-938, December 2016.
2. Y. Sun, K. xk星空中国集团, L. L. Minku, S. Wang and X. Yao, “Online Ensemble Learning of Data Streams with Gradually Evolved Classes,” IEEE Transactions on Knowledge and Data Engineering, 28(6): 1532-1545, June 2016.
3. K. xk星空中国集团, P. Yang and X. Yao, “Negatively Correlated Search,” IEEE Journal on Selected Areas in Communications, 34(3): 1-9, March 2016.
4. J. Wang, K. xk星空中国集团, J. A. Lozano and X. 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.
5. P. Yang, K. xk星空中国集团, J. A. Lozano and X. Cao, “Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints,” IEEE Transactions on Robotics, 31(5): 1130-1146, October 2015.
6. H. Fu, B. Sendhoff, K. xk星空中国集团 and X. Yao, “Robust Optimization Over Time: Problem Difficulties and Benchmark Problems,” IEEE Transactions on Evolutionary Computation, 19(5): 731-745, October 2015.
7. M. Omidvar, X. Li and K. xk星空中国集团, “Designing Benchmark Problems for Large-Scale Continuous Optimization,” Information Sciences, 316: 419-436, September 2015.
8. B. Li, J. Li, K. xk星空中国集团 and X. Yao, “Many-Objective Evolutionary Algorithms: A Survey,” ACM Computing Surveys, 48(1), Article 13, 35 pages, September 2015.
9. P. Yang, K. xk星空中国集团 and X. Lu, “Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas,” IEEE Transactions on Cybernetics, 45(8): 1438-1449, August 2015.
10. L. Wan, K. xk星空中国集团, M. Li, Y. Zhong and A. K. Qin, “Collaborative Active and Semi-supervised Learning for Hyperspectral Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 53(5): 2384-2396, May 2015.
11. P. Wang, M. Emmerich, R. Li, K. xk星空中国集团, T. Baeck and X. 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.
12. X. Yang, K. xk星空中国集团 and X. Yao, “A Learning-to-Rank Approach to Software Defect Prediction,” IEEE Transactions on Reliability, 64(1): 234-246, March 2015.
13. L. Li and K. xk星空中国集团, “History-Based Topological Speciation for Multimodal Optimization,” IEEE Transactions on Evolutionary Computation, 19(1): 136-150, February 2015.
14. K. xk星空中国集团, F. Peng, G. Chen and X. Yao, “Population-based Algorithm Portfolios with automated constituent algorithms selection,” Information Sciences, 279: 94-104, September 2014.
15. T. Weise, M. Wan, P. Wang, K. xk星空中国集团, A. Devert and X. Yao, “Frequency Fitness Assignment,” IEEE Transactions on Evolutionary Computation, 18(2): 226-243, April 2014.
16. M. Lin, K. xk星空中国集团 and X. Yao, “Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification,” IEEE Transactions on Neural Networks and Learning Systems, 24(4): 647-660, April 2013.
17. Z. Yang, X. Li, C. P. Bowers, T. Schnier, K. xk星空中国集团 and X. Yao, “An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model,” IEEE Transactions on Systems, Man, and Cybernetics: Part C, 42(6): 957-969, November 2012.
18. X. Lu and K. xk星空中国集团, “Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems,” Journal of Computer Science and Technology, 27(5): 1024-1034, September 2012.
19. T. Chen, K. xk星空中国集团, G. Chen and X. Yao, “A Large Population Size Can Be Unhelpful in Evolutionary Algorithms,” Theoretical Computer Science, 436: 54-70, June 2012.
20. T. Weise and K. xk星空中国集团, “Evolving Distributed Algorithms with Genetic Programming,” IEEE Transactions on Evolutionary Computation, 16(2): 242-265, April 2012.
21. A. Devert, T. Weise and K. xk星空中国集团, “A Study on Scalable Representations for Evolutionary Optimization of Ground Structures,” Evolutionary Computation, 20(3): 453-472, January 2012.
22. Y. Mei, K. xk星空中国集团 and X. Yao, “A Memetic Algorithm for Periodic Capacitated Arc Routing Problem,” IEEE Transactions on Systems, Man, and Cybernetics: Part B, 41(6): 1654-1667, December 2011.
23. Y. Mei, K. xk星空中国集团 and X. Yao, “Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem,” IEEE Transactions on Evolutionary Computation, 15(2): 151-165, April 2011.
24. Z. Wang, K. xk星空中国集团 and X. Yao, “A Memetic Algorithm for Multi-level Redundancy Allocation,” IEEE Transactions on Reliability, 59(4): 754-765, December 2010.
25. F. Peng, K. xk星空中国集团, G. Chen and X. Yao, “Population-based Algorithm Portfolios for Numerical Optimization,” IEEE Transactions on Evolutionary Computation, 14(5): 782-800, October 2010.
26. Z. Wang, K. xk星空中国集团 and X. Yao, “Multi-objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems,” IEEE Transactions on Reliability, 59(3): 563-575, September 2010.
27. T. Chen, K. xk星空中国集团, G. Chen and X. Yao, “Analysis of Computational Time of Simple Estimation of Distribution Algorithms,” IEEE Transactions on Evolutionary Computation, 14(1): 1-22, February 2010.
28. K. xk星空中国集团, Y. Mei and X. Yao, “Memetic Algorithm with Extended Neighborhood Search for Capacitated Arc Routing Problems,” IEEE Transactions on Evolutionary Computation, 13(5): 1151-1166, October 2009.
29. Y. Mei, K. xk星空中国集团 and X. 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.
30. G. Pugalenthi, K. xk星空中国集团, P. N. Suganthan and S. Chakrabarti, “Identification of Structurally Conserved Residues of Proteins in Absence of Structural Homologs Using Neural Network Ensemble,” Bioinformatics, 25(2): 204-210, January 2009.
31. Z. Yang, K. xk星空中国集团 and X. Yao, “Large Scale Evolutionary Optimization Using Cooperative Coevolution,” Information Sciences, 178(15): 2985-2999, August 2008. (According to ESI, it has been selected as the Highly Cited Papers in Computer Science for the past 11 years.)
32. E. K. xk星空中国集团, P. N. Suganthan and X. Yao, “Gene Selection Algorithms for Microarray Data Based on Least Squares Support Vector Machine,” BMC-Bioinformatics, 7:95, 27 February 2006.
33. E. K. xk星空中国集团, P. N. Suganthan, X. Yao, “An Analysis of Diversity Measures,” Machine Learning, 65: 247-271, October 2006.
34. E. K. xk星空中国集团, P. N. Suganthan and X. Yao and A. K. Qin, “Linear Dimensionality Reduction Using Relevance Weighted LDA,” Pattern Recognition, 38(4): 485-493, April 2005.
35. C. Qian, J.-C. Shi, Y. Yu, K. xk星空中国集团 and Z.-H. Zhou, “Parallel Pareto Optimization for Subset Selection,” in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, July 9-15, 2016, pp.1939-1945.
36. L. Zhang, K. xk星空中国集团 and X. Yao, “Increasingly Cautious Optimism for Practical PAC-MDP Exploration,” in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, July 25-31, 2015, pp. 4033-4040.
37. J. Zhong, K. xk星空中国集团 and Z.-H. Zhou, “Active Learning from Crowds with Unsure Option,” in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, July 25-31, 2015, pp. 1061-1067.
38. T. Chen, Q. Guo, K. xk星空中国集团, O. Temam, Z. Xu, Z.-H. Zhou, and Y. Chen, “ArchRanker: A ranking approach to design space exploration,” in Proceedings of the 41st International Symposium on Computer Architecture (ISCA’14), Minneapolis, MN, 2014, pp.85-96.
39. R. Wang, W. Dong, Y. Wang, K. xk星空中国集团 and X. Yao, “Pipe Break Prediction: A Data Mining Method,” in Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE’13), Brisbane, Australia, April 8-11, 2013, pp. 1208-1218.
40. K. xk星空中国集团, R. Wang and T. Chen, “Towards Maximizing The Area Under The ROC Curve For Multi-class Classification Problems,” in Proceedings of The 25th AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, USA, 7-11 August 2011, pp. 483-488.