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2015

Refereed Journal Papers

  1. Xindong Wu, Huanhuan Chen, Gong-Qing Wu, et al. Knowledge Engineering with Big Data. IEEE Intelligent Systems, 30(5):46-55, 2015.
  2. Fengzhen Tang, Peter Tino, Pedro A.G. Pena, Huanhuan Chen. The Benefits of Modelling Slack Variables in SVMs. Neural Computation, 27(4):954-81, 2015.
  3. Shan He, Huanhuan Chen, Zexuan Zhu, et al. Robust Twin Boosting for Feature Selection from High-dimensional Omics Data with Label Noise, Information Science, 291:1–18, 2015.
  4. Bo Yuan, Bin Li, Huanhuan Chen, Xin Yao. A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem, IEEE Transactions on Cybernetics, 45(5):1040-1053, 2015.
  5. P. Yang, Ke Tang, J. 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, 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.
  7. M. Omidvar, X. Li and Ke Tang. Designing Benchmark Problems for Large-Scale Continuous Optimization, Information Sciences, 316: 419-436, September 2015.
  8. B. Li, J. Li, Ke Tang and Xin Yao. Many-Objective Evolutionary Algorithms: A Survey, ACM Computing Surveys, 48(1), Article 13, 35 pages, September 2015.
  9. P. Yang, Ke Tang and X. Lu. Improving Estimation of Distribution Algorithm on Multi-modal Problems by Detecting Promising Areas, IEEE Transactions on Cybernetics, 45(8): 1438-1449, August 2015.
  10. L. Wan, Ke Tang, 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, Ke Tang, Thomas Bäck 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.
  12. X. Yang, Ke Tang and Xin Yao. A Learning-to-Rank Approach to Software Defect Prediction, IEEE Transactions on Reliability, 64(1): 234-246, March 2015.
  13. L. Li and Ke Tang. History-Based Topological Speciation for Multimodal Optimization, IEEE Transactions on Evolutionary Computation, 19(1): 136-150, February 2015.
  14. W. Hong and Ke Tang. Convex Hull-based Multi-Objective Evolutionary Computation for Maximizing Receiver Operating Characteristics Performance, Memetic Computing, 8(1): 35-44, February 2015.
  15. Chao Gao, Xin Yao, Thomas Weise, and Jinlong Li. An Efficient Local Search Heuristic with Row Weighting for the Unicost Set Covering Problem. European Journal of Operational Research (EJOR), 246(3): 750–761; November 1, 2015.
  16. Thomas Weise and Raymond Chiong. An Alternative Way of Presenting Statistical Test Results when Evaluating the Performance of Stochastic Approaches. Neurocomputing, 147:235-238, January 5, 2015.

Refereed Conference Papers

  1. Rentuo Tao and Bin Li. SAR Automatic Target Recognition based on Slow Feature Analysis, In: 2015 International Conference on Progress in Informatics and Computing (PIC-2015), December 18-20, 2015 in Nanjing, China.
  2. Yifeng Hu and Bin Li. Automatic SAR Target Recognition Based on Two-dimensional Locality-Preserved Maximum Information Projection, In 2015 8th International Symposium on Computational Intelligence and Design (ISCID 2015), December 12-13, 2015, China.
  3. Wei Shi, Thomas Weise, Raymond Chiong, and Bülent Çatay. Hybrid PACO with Enhanced Pheromone Initialization for Solving the Vehicle Routing Problem with Time Windows. In: Proceedings of the 2015 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'15) Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'15), ISBN: 978-1-4799-7560-0, pages 1735–1742, Cape Town, South Africa: Cape Town International Convention Center, December 8–10, 2015. Los Alamitos, CA, USA: IEEE Computer Society Press.
  4. Weichen Liu, Thomas Weise, Yuezhong Wu, and Raymond Chiong. Hybrid Ejection Chain Methods for the Traveling Salesman Problem. In: Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15), Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, and Xingyi Zhang, editors, September 25–28, 2015, Hefei, Anhui, China, volume 562 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer-Verlag, pages 268–282, ISBN 978-3-662-49013-6.
  5. Dan Xu, Thomas Weise, Yuezhong Wu, Jörg Lässig, and Raymond Chiong. An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem. In: Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15), Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, and Xingyi Zhang, editors, September 25–28, 2015, Hefei, Anhui, China, volume 562 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer-Verlag, pages 523–537, ISBN 978-3-662-49013-6
  6. Huanhuan Chen, Fengzhen Tang, Peter Tino, Anthony G Cohn, Xin Yao. Model Metric Co-learning for Time Series Classification, In: Proceedings of the 25th International Joint Conferences on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, July 25-31, 2015
  7. L. Zhang, Ke Tang and Xin 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.
  8. J. Zhong, Ke Tang 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.
  9. Yuezhong Wu, Thomas Weise, and Raymond Chiong. Local Search for the Traveling Salesman Problem: A Comparative Study. In: Proceedings of the 14th IEEE Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC'15), July 6–8, 2015, Beijing, China, pages 213–220, ISBN: 978-1-4673-7289-3.
  10. Y. Wu, Y. Sun, X. Liang, Ke Tang and Z. Cai. Evolutionary Semi-Supervised Ordinal Regression Using Weighted Kernel Fisher Discriminant Analysis. In Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), Sendai, Japan, May 25-28, 2015, pp. 3279-3286.
  11. S. Liu, Y. Wei, Ke Tang, A. K. Qin and Xin Yao. QoS-aware Long-term Based Service Composition in Cloud Computing, In Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), Sendai, Japan, May 25-28, 2015, pp. 3362-3369.
  12. W. Hong, G. Lu, P. Yang, Y. Wang and Ke Tang. A New Evolutionary Multi-objective Algorithm for Convex Hull Maximization, In Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), Sendai, Japan, May 25-28, 2015, pp. 931-938.