- Journal Papers
- Journal Papers

**Refereed Journal Papers:**

*****Corresponding Author

- Sun,
**K. Tang***, Z. Zhu and X. Yao, “Concept Drift Adaptation by Exploiting Historical Knowledge,”*IEEE Transactions on Neural Networks and Learning Systems*, in press (DOI: 10.1109/TNNLS.2017.2775225) - Qian, J. Shi,
**K. Tang**and Z.-H. Zhou, “Constrained Monotone k-Submodular Function Maximization Using Multi-objective Evolutionary Algorithms with Theoretical Guarantee,”*IEEE Transactions on Evolutionary Computation*, in press (DOI: 10.1109/TEVC.2017.2749263). - Lu, S. Menzel,
**K. Tang***and X. Yao, “Cooperative Co-evolution based Design Optimisation: A Concurrent Engineering Perspective,”*IEEE Transactions on Evolutionary Computation*, in press (DOI: 10.1109/TEVC.2017.2713949). - Qian, Y. Yu,
**K. Tang**, Y. Jin, X. Yao and Z.-H. Zhou, “On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments,”*Evolutionary Computation*, in press. - Liang, A. K. Qin,
**K. Tang***and K. C. Tan, “QoS-Aware Web Service Selection with Internal Complementarity,”*IEEE Transactions on Services Computing*, in press (DOI: 10.1109/TSC.2016.2598776). - Yang,
**K. Tang***and X. Yao, “Turning High-dimensional Optimization into Computationally Expensive Optimization,”*IEEE Transactions on Evolutionary Computation*, 22(1): 143-156, February 2018. - Zhong, P. Yang,
**K. Tang***, “A Quality-Sensitive Method for Learning from Crowds,”*IEEE Transactions on Knowledge and Data Engineering*, 29(12): 2643-2654, December 2017. - Cai, J. Zhang, M. Xiao,
**K. Tang**and W. Du, “Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management,”*IEEE Transactions on Intelligent Transportation Systems*, 18(11): 3072-3082, November 2017. **Tang**, J. Wang X. Li and X. Yao, “A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition,”*IEEE Transactions on Cybernetics*, 47(11): 3928-3940, November 2017.**Y**. Zhang, Y. Mei,**Tang**and K. Jiang, “Memetic algorithm with route decomposing for periodic capacitated arc routing problem,”*Applied Soft Computing*, 52: 1130-1142, March 2017.- Li,
**K. Tang***, 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. - He, G. Jia, Z. Zhu, Q. Huang,
**K. Tang**, J. Liu, M. Musolesi, J. K. Heath and X. Yao, “Cooperative Co-Evolutionary Module Identification with Application to Cancer Disease Module Discovery,”*IEEE Transactions on Evolutionary Computation*, 20(6): 874-891, December 2016. - Weise, Y. Wu, R. Chiong,
**K. Tang**and J. Lässig, “Global versus local search: the impact of population sizes on evolutionary algorithm performance,”*Journal of Global Optimization*, 66(3): 511-534, November 2016. - Yang, B. Sendhoff,
**K. Tang**and X. Yao, “Target shape design optimization by evolving B-splines with cooperative coevolution,”*Applied Soft Computing*, 48: 672-682, November 2016. - Sun,
**K. Tang***, 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. **Tang**, P. Yang and X. Yao, “Negatively Correlated Search,”*IEEE Journal on Selected Areas in Communications*, 34(3): 1-9, March 2016.- Wang,
**K. Tang***, 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. - Hong and
**K. Tang***, “Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance,”*Memetic Computing*, 8(1): 35-44, February 2016. - Yang,
**K. Tang***, 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. - Fu, B. Sendhoff,
**K. Tang**and X. Yao, “Robust Optimization Over Time: Problem Difficulties and Benchmark Problems,”*IEEE Transactions on Evolutionary Computation*, 19(5): 731-745, October 2015. - Omidvar, X. Li and
**K. Tang**, “Designing Benchmark Problems for Large-Scale Continuous Optimization,”*Information Sciences*, 316: 419-436, September 2015. - Li, J. Li,
**K. Tang**and X. Yao, “Many-Objective Evolutionary Algorithms: A Survey,”*ACM Computing Surveys*, 48(1), Article 13, 35 pages, September 2015. - Yang,
**K. Tang***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. - Wan,
**K. 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. - Wang, M. Emmerich, R. Li,
**K. Tang***, 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. - Yang,
**K. Tang***and X. Yao, “A Learning-to-Rank Approach to Software Defect Prediction,”*IEEE Transactions on Reliability*, 64(1): 234-246, March 2015. - Li and
**K. Tang***, “History-Based Topological Speciation for Multimodal Optimization,”*IEEE Transactions on Evolutionary Computation*, 19(1): 136-150, February 2015. - Lu,
**K. Tang***, B. Sendhoff and X. Yao, “A New Self-adaptation Scheme for Differential Evolution,”*Neurocomputing*, 146: 2-16, December 2014. **Tang***, F. Peng, G. Chen and X. Yao, “Population-based Algorithm Portfolios with automated constituent algorithms selection,”*Information Sciences*, 279: 94-104, September 2014.- Weise, R. Chiong, J. Lassig,
**K. Tang**, S. Tsutsui, W. Chen, Z. Michalewicz and X. Yao, “Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem,”*IEEE Computational Intelligence Magazine*, 9(3): 40-52, August 2014. (This paper was highlighted by the IEEE Computational Intelligence Magazine as “**Publication Spotlight**” in its August 2014 issue, Page 12.) - Weise, M. Wan, P. Wang,
**K. Tang**, A. Devert and X. Yao, “Frequency Fitness Assignment,”*IEEE Transactions on Evolutionary Computation*, 18(2): 226-243, April 2014. - Lu,
**K. Tang**, B. Sendhoff and X. Yao, “A Review of Concurrent Optimization Methods,”*International Journal of Bio-inspired Computation*, 6(1): 22-31, March 2014. - Wang,
**K. Tang***, T. Weise, E. P. K. Tsang and X. Yao, “Multiobjective Genetic Programming for Maximizing ROC Performance,”*Neurocomputing*, 125: 102-118, February 2014. - Lin,
**K. Tang***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. - Jin,
**K. Tang***, X. Yu, B. Sendhoff and X. Yao, “A framework for finding robust optimal solutions over time,”*Memetic Computing*, 5(1): 3-18, March 2013. - Yang, X. Li, C. P. Bowers, T. Schnier,
**K. Tang**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. - Cai, J. Zhang, C. Zhou, X. Cao and
**K. Tang**, “Using computational intelligence for large scale air route networks design,”*Applied Soft Computing*, 12(9): 2790-2800, September 2012. - Lu and
**K. Tang***, “Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems,”*Journal of Computer Science and Technology*, 27(5): 1024-1034, September 2012. - Weise, R. Chiong and
**K. Tang**, “Evolutionary Optimization: Pitfalls and Booby Traps,”*Journal of Computer Science and Technology*, 27(5): 907-936, September 2012. - Wang and
**K. Tang***, “Feature Selection for MAUC Oriented Classification Systems,”*Neurocomputing*, 89: 39-54, July 2012. - Chen,
**K. Tang***, G. Chen and X. Yao, “A Large Population Size Can Be Unhelpful in Evolutionary Algorithms,”*Theoretical Computer Science*, 436: 54-70, June 2012. - Weise and
**K. Tang**, “Evolving Distributed Algorithms with Genetic Programming,”*IEEE Transactions on Evolutionary Computation*, 16(2): 242-265, April 2012. - Devert, T. Weise and
**K. Tang**, “A Study on Scalable Representations for Evolutionary Optimization of Ground Structures,”*Evolutionary Computation*, 20(3): 453-472, January 2012. - Mei,
**K. Tang***and X. Yao, “A Memetic Algorithm for Periodic Capacitated Arc Routing Problem,”*IEEE Transactions on Systems, Man, and Cybe**rnetics: Part B*, 41(6): 1654-1667, December 2011. - Yang,
**K. Tang***and X. Yao, “Scalability of Generalized Adaptive Differential Evolution for Large-Scale Continuous Optimization,”*Soft Computing*, 15(11): 2141-2155, November 2011. - Yu,
**K. Tang***and X. Yao, “Immigrant Schemes for Evolutionary Algorithms in Dynamic Environments: Adapting the Replacement Rate,”*Science in China Series F: Information Sciences*, 54(7): 1352-1364, July 2011. - Liu,
**K. Tang**, Z. Yang and D. Liu, “A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm,”*IEEE Photonics Technology Letters*, 23(19): 1385-1387, June 2011. - Mei,
**K. Tang***and X. Yao, “Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem,”*IEEE Transactions on Evolutionary Computation*, 15(2): 151-165, April 2011. - Wang,
**K. Tang***and X. Yao, “A Memetic Algorithm for Multi-level Redundancy Allocation,”*IEEE Transactions on Reliability*, 59(4): 754-765, December 2010. - Peng,
**K. Tang***, G. Chen and X. Yao, “Population-based Algorithm Portfolios for Numerical Optimization,”*IEEE Transactions on Evolutionary Computation*, 14(5): 782-800, October 2010. - Wang,
**K. Tang***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. - Chen,
**K. Tang***, 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. **Tang**, 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.**Tang**, M. Lin, F. L. Minku and X. Yao, “Selective Negative Correlation Learning Approach to Incremental Learning,”*Neurocomputing*, 72(13-15): 2796-2805, August 2009.**Tang**, G. Pugalenthi, P. N. Suganthan, C. J. Lanczycki and S. Chakrabarti, “Prediction of Functionally Important Sites from Protein Sequences Using Sparse Kernel Least Squares Classifiers,”*Biochemical and Biophysical Research Communications*, 384(2): 155-159, June 2009.- Mei,
**K. Tang***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. - Yu,
**K. Tang***, T. Chen and X. Yao, “Empirical Analysis of Evolutionary Algorithms with Immigrants Schemes for Dynamic Optimization,”*Memetic Computing*, 1(1): 3-24, March 2009. - Pugalenthi,
**K. Tang**, 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. - Yang,
**K. Tang***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.) - Pugalenthi,
**K. Tang**, P. N. Suganthan, G. Archunan and R. Sowdhamini, “A Machine Learning Approach for The Identification of Odorant binding Proteins from Sequence-derived Properties,”*BMC-Bioinformatics*, 8:351, September 2007. (This paper was highlighted by ScienceWatch.com as a “**New Hot Paper**”. The report of an online interview of the authors is available at: http://archive.sciencewatch.com/dr/nhp/2009/09marnhp/09marnhpRamET/) **K. Tang**, 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.**K. Tang**, P. N. Suganthan, X. Yao, “An Analysis of Diversity Measures,”*Machine Learning*, 65: 247-271, October 2006.**K. Tang**, 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.

**Refereed Papers in Conference Proceedings:**

- Zhang,
**K. Tang**and X. Yao, “Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning,” In: Advances in Neural Information Processing Systems 30 (NIPS'17), Long Beach, CA, December 4-9, 2017, pp.1802--1812. - Qian, J. Shi, Y. Yu,
**K. Tang**and Z.-H. Zhou, “Subset Selection under Noise,” In: Advances in Neural Information Processing Systems 30 (NIPS'17), Long Beach, CA, December 4-9, 2017, pp.3563-3573. - Qian, J. Shi, Y. Yu and
**K. Tang**, “On Subset Selection with General Cost Constraints,” in*Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17)*, Melbourne, Australia, 2017, pp.2613-2619. - Qian, J. Shi, Y. Yu,
**K. Tang**and Z.-H. Zhou, “Optimizing Ratio of Monotone Set Functions,” in*Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17)*, Melbourne, Australia, 2017, pp.2606-2612. - Qian, C. Bian, W. Jiang and
**K. Tang**, “Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise,” in*Proceedings of the 19th ACM Conference on Genetic and Evolutionary Computation (GECCO'17)*, Berlin, Germany, 2017, pp.1399-1406. - Qian,
**K. Tang**and Z.-H. Zhou, “Selection Hyper-heuristics Can Provably be Helpful in Evolutionary Multi-objective Optimization,” in*Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN'16)*, Edinburgh, Scotland, September 17-21, 2016, pp.835-846. - Fu, J. Zhong, Y. Liu, Z. Wang and
**K. Tang**, “A Non-parametric Approach for Learning from Crowds,” in*Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN’16)*, Vancouver, Canada, July 24-29, 2016, pp. 2228-2235. - Jiang, G. Li, J. Liu, Y. Liu and
**K. Tang,**“A Trajectory-based Approach for Object Detection from Video,” in*Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN’16)*, Vancouver, Canada, July 24-29, 2016, pp. 2887-2893. - Yang, G. Lu,
**K. Tang**and X. Yao, “A Multi-Modal Optimization Approach to Single Path Planning for Unmanned Aerial Vehicle,” in*Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC’16)*, Vancouver, Canada, July 24-29, 2016, pp. 1735-1742. - Li, C. Qian, J. Li,
**K. Tang**and X. Yao, “Search Based Recommender System Using Many-Objective Evolutionary Algorithm,” in*Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC’16)*, Vancouver, Canada, July 24-29, 2016, pp. 120-126. - Qian, J.-C. Shi, Y. Yu,
**K. Tang**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. - Zhang,
**K. Tang**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. - Zhong,
**K. 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. - Wu, Y. Sun, X. Liang,
**K. 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. - Liu, Y. Wei,
**K. Tang**, A. K. Qin and X. 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. - Hong, G. Lu, P. Yang, Y. Wang and
**K. 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. - Lu, S. Menzel,
**K. Tang**and X. Yao, “The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution,” in*Proceedings of the 10th International Conference on Simulated Evolution And Learning (SEAL 2014)*, December 15-18, 2014,*Lecture Notes in Computer Science*Volume 8886, 2014, pp.82-93, Springer-Verlag, Berlin. - Miao, J. Wang, A. Zhou and
**K. Tang**, “Regularized Boost for Semi-supervised Ranking,” in*Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems**(IES2014),*November 10-12, 2014, Singapore,*Proceedings in Adaptation, Learning and Optimization Volume 1, 2015,*pp. 643-651*.* - Yang,
**K. Tang**, L. Li and A. K. Qin, “Evolutionary Robust Optimization with Multiple Solutions,” in*Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems**(IES2014),*November 10-12, 2014, Singapore,*Proceedings in Adaptation, Learning and Optimization Volume 1, 2015,*pp. 611-625*.* - Chen, Q. Guo,
**K. Tang**, 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. - Fu, P. R. Lewis, B. Sendhoff,
**K. Tang**, and X. Yao, “What Are Dynamic Optimization Problems?” in*Proceedings of**the 2014 IEEE Congress on Evolutionary Computation (CEC2014)*, Beijing, China, July 6-11, 2014, pp. 1550-1557. - Zhong,
**K. Tang**and A. K. Qin, “Finding Convex Hull Vertices in Metric Space,” in*Proceedings of**the 2014 International Joint Conference on Neural Networks**(IJCNN2014)*, Beijing, China, July 6-11, 2014, pp. 1587-1592. - Yang,
**K. Tang**and J. A. Lozano, “Estimation of Distribution Algorithms based Unmanned Aerial Vehicle Path Planner Using a New Coordinate System,” in*Proceedings of**the 2014 IEEE Congress on Evolutionary Computation (CEC2014)*, Beijing, China, July 6-11, 2014, pp. 1469-1476. - Weise, M. Wan,
**K. Tang**and X. Yao, “Evolving exact integer algorithms with Genetic Programming,” in*Proceedings of**the 2014 IEEE Congress on Evolutionary Computation (CEC2014)*, Beijing, China, July 6-11, 2014, pp.1816-1823. - Li, J. Li,
**K. Tang**and X. Yao, “An Improved Two Archive Algorithm for Many-Objective Optimization,” in*Proceedings of**the 2014 IEEE Congress on Evolutionary Computation (CEC2014)*, Beijing, China, July 6-11, 2014, pp. 2869-2876. - Miao and
**K. Tang**, “Semi-supervised Ranking via List-wise Approach,” in*Proceedings of the 14*, Hefei, China, October 20-23, 2013, pp. 376-383, Lecture Notes in Computer Science, Volume 8206, Springer-Verlag Berlin Heidelberg, Germany.^{th}International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’13) - Zhuang,
**K. Tang**and Y. Jin, “Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient,” in*Proceedings of the 14*, Hefei, China, October 20-23, 2013, pp. 366-375, Lecture Notes in Computer Science, Volume 8206, Springer-Verlag Berlin Heidelberg, Germany.^{th}International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’13) - Wan,
**K. Tang**and R. Wang, “Gradient Boosting-based Negative Correlation Learning,” in*Proceedings of the 14*, Hefei, China, October 20-23, 2013, pp. 358-365, Lecture Notes in Computer Science, Volume 8206, Springer-Verlag Berlin Heidelberg, Germany.^{th}International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’13) - Liu and
**K. Tang**, “Scaling Up Covariance Matrix Adaptation Evolution Strategy using Cooperative Coevolution,” in^{th}International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’13) - Chen and
**K. Tang**, “Impact of problem decomposition on Cooperative Coevolution,” in*Proceedings of 2013 IEEE Congress on Evolutionary Computation (CEC’13)*, Cancun, Mexico, June 20-23, 2013, pp. 733-740. - Li, R. Wang and
**K. Tang**, “Combining Semi-Supervised and Active Learning for Hyperspectral Image Classification,” in*Proceedings of 2013 IEEE Symposium Series on Computational Intelligence (SSCI’13)*, Singapore, April 16-19, 2013, pp. 89-94. - Wang,
**K. Tang**and X. Yao, “A Memetic Algorithm for Uncertain Capacitated Arc Routing Problems,” in*Proceedings of 2013 IEEE Symposium Series on Computational Intelligence (SSCI’13)*, Singapore, April 16-19, 2013, pp. 80-87. - Wang, W. Dong, Y. Wang,
**K. Tang**and X. Yao, “Pipe Failure 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. - Huang, G. Jia, T. White, M. Musolesi, N. Turan,
**K. Tang**, S. He, J. K. Heath and X. Yao, “Community Detection Using Cooperative Co-evolutionary Differential Evolution,” in*Proceedings of the 12th International Conference on Parallel Problem Solving From Nature*. Taormina, Italy, September 1-5, 2012. - Weise, A. Devert and
**K. Tang**, “A Developmental Solution to (Dynamic) Capacitated Arc Routing Problems using Genetic Programming,” in*Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'12)*, Philadelphia, PA, USA, July 7–11, 2012, pp. 831-838. - Fu, B. Sendhoff,
**K. Tang**, and Xin Yao, “Characterizing environmental changes in Robust Optimization Over Time,” in*Proceedings of the IEEE Congress on Evolutionary Computation (CEC2012)*, Brisbane, Queensland, Australia, 10-15 June 2012, pp. 1-8. - Chen, H. Chen and
**K. Tang**, “Semi-supervised Learning with Extremely Sparse Labeled Data on Multiple Semi-supervised Assumptions,” in*Proceedings of**The 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)*, Dalian, China, 14-16 October 2011, pp. 242-247. **Tang**, 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.- Lu,
**K. Tang**, and X. Yao, “Classification-Assisted Differential Evolution for Computationally Expensive Problems,” in*Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC2011)*, New Orleans, USA, 5-8 June 2011, pp. 1986-1993. - Wang,
**K. Tang**, E.P.K. Tsang and X. Yao, “A Memetic Genetic Programming with Decision Tree-based Local Search for Classiﬁcation Problems,” in*Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC2011)*, New Orleans, USA, 5-8 June 2011, pp. 916-923. - Fan,
**K. Tang**and T. Weise, “Margin-Based Over-Sampling Method for Learning From Imbalanced Datasets,” in*Proceedings of**the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011)*, Shenzhen, China, 24-27 May 2011, pp. 309-320. - Wan, T. Weise and
**K. Tang**, “Novel Loop Structures and the Evolution of Mathematical Algorithms,” in*Proceedings of the 14th European Conference on Genetic Programming (EuroGP'11)*, Torino, Italy, 27-29 April 2011, pp. 300-309, Lecture Notes in Computer Science, Volume 6621, Springer-Verlag, Berlin, Germany. - Chen, T. Weise, Z. Yang and
**K. 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)*, Kraków, Poland, September 11–15, 2010, pp. 300–309, Lecture Notes in Computer Science, Volume 6239, Part II, Springer-Verlag, Berlin, Germany. - Fan and
**K. Tang**, “Enhanced Maximum AUC Linear Classifier,” in*Proceedings of The 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2010)*, Yantai, China, 10-12 August 2010, vol. 4, pp. 1540-1544. - Wang, E. P. K. Tsang, T. Weise,
**K. Tang**and X. Yao, “Using GP to Evolve Decision Rules for Classification in Financial Data Sets,” in*Proceedings of**the 9th IEEE International Conference on Cognitive Informatics (ICCI 2010)*, Beijing, China, 7-9 July 2010, pp. 722-727. - Weise, L. Niu and
**K. Tang**, “AOAB – Automated Optimization Algorithm Benchmarking,” in*Proceedings of the 2010**Genetic and Evolutionary Computation Conference (GECCO-2010)*, Portland, USA, 7-11 July 2010, pp. 1479-1486. - Lu,
**K. Tang**and X. Yao, “Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification,” in*Proceedings of**the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010)*, San Sebastián, Spain, 23-25 June 2010, Lecture Notes in Computer Science, Volume 6076, Springer-Verlag, Berlin pp. 335-342. - Yu, Y. Jin,
**K. Tang**and X. Yao, “Robust Optimization over Time - A New Perspective on Dynamic Optimization Problems,” in*Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC2010)*, Barcelona, Spain, 18-23 July 2010, pp. 3998-4003. - Mei,
**K. Tang**and X. Yao, “Capacitated Arc Routing Problem in Uncertain Environments,” in*Proceedings of**the 2010 IEEE Congress on Evolutionary Computation (CEC2010)*, Barcelona, Spain, 18-23 July 2010, pp. 1400-1407. - Fu, Y. Mei,
**K. Tang**and Y. Zhu, “Memetic Algorithm with Heuristic Candidate List Strategy for Capacitated Arc Routing Problem,” in*Proceedings of**the 2010 IEEE Congress on Evolutionary Computation (CEC2010)*, Barcelona, Spain, 18-23 July 2010, pp. 3229-3236. - Wang and
**K. Tang**, “Feature Selection for Maximizing the Area Under the ROC Curve,” in*Proceedings of the 2009 International Conference on Data Mining - Workshops*, Miami, USA, 6-9 December 2009, pp. 400-405. - Yang,
**K. Tang**and X. Yao, “The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines,” in*Proceedings of the 10*Lecture Notes in Computer Science, Volume 5788, Springer-Verlag, Berlin, September 2009, pp. 184-190.^{th}International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2009), - Wang,
**K. Tang**and X. Yao, “Diversity Exploration and Negative Correlation Learning on Imbalanced Data Sets,” in*Proceedings of the**2009 International Joint Conference on Neural Networks (IJCNN2009)*, Atlanta, USA, 14-19 June 2009, pp. 3259-3266. - Chen,
**K. Tang**, G. Chen and X. Yao, “Rigorous Time Complexity Analysis of Univariate Marginal Distribution Algorithm with Margins,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 2157-2164. - Chen, P. K. Lehre,
**K. Tang**and X. Yao, “When Is an Estimation of Distribution Algorithm Better than an Evolutionary Algorithm?,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 1470-1477. - Chen,
**K. Tang**and T. Chen, “A Stochastic Method for Controlling the Scaling Parameters of Cauchy Mutation in Fast Evolutionary Programming,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 1101-1107. - Mei,
**K. Tang**and X. Yao, “Improved Memetic Algorithm for Capacitated Arc Routing Problem,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 1699-1706. - Peng,
**K. Tang**, G. Chen and X. Yao, “Multi-start JADE with knowledge transfer for numerical optimization,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 1889-1895. - Wang, T. Chen,
**K. Tang**and X. Yao, “A Multi-objective Approach to Redundancy Allocation Problem in Parallel-series Systems,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 582-589. - Yang, J. Zhang,
**K. Tang**, X. Yao and A. Sanderson, “An Adaptive Coevolutionary Differential Evolution Algorithm for Large-scale Optimization,” in*Proceedings of**the 2009 IEEE Congress on Evolutionary Computation (CEC2009)*, Trondheim, Norway, 18-21 May 2009, pp. 102-109. - Wang, Z. Yang,
**K. Tang**, and X. Yao, “Adaptive Differential Evolution for Multi-objective Optimization,” in*Proceedings of**the 20th International Conference on Multiple Criteria Decision Making (MCDM'09)*, Chengdu, China, 2009, pp. 9-16. - Lin,
**K. Tang**and X. Yao, “Selective Negative Correlation Learning Algorithm for Incremental Learning,” in*Proceedings of the**2008 International Joint Conference on Neural Networks (IJCNN2008)*, Hong Kong, 2008, pp. 2526-2531. - Yu,
**K. Tang**and X. Yao, “An Immigrants Scheme Based on Environmental Information for Genetic Algorithms in Changing Environments,” in*Proceedings of the**2008 IEEE Congress on Evolutionary Computation (CEC2008)*, Hong Kong, 2008, pp. 1141-1147. - Wang,
**K. Tang**and X. Yao, “A Multi-objective Approach to Testing Resource Allocation in Modular Software Systems,” in*Proceedings of the**2008 IEEE Congress on Evolutionary Computation (CEC2008)*, Hong Kong, 2008, pp. 1148-1153. - Yang,
**K. Tang**and X. Yao, “Multilevel Cooperative Coevolution for Large Scale Optimization,” in*Proceedings of the**2008 IEEE Congress on Evolutionary Computation (CEC2008)*, Hong Kong, 2008, pp. 1663-1670. - Yang,
**K. Tang**and X. Yao, “Self-adaptive Differential Evolution with Neighborhood Search,” in*Proceedings of the**2008 IEEE Congress on Evolutionary Computation (CEC2008)*, Hong Kong, 2008, pp. 1110-1116. **Tang**, Z. Wang, X. Cao and J. Zhang, “A Multi-objective Evolutionary Approach to Aircraft Landing Scheduling Problems,” in*Proceedings of the**2008 IEEE Congress on Evolutionary Computation (CEC2008)*, Hong Kong, 2008, pp. 3651-3657.- Chen,
**K. Tang**, G. Chen and X. Yao, “On the Analysis of Average Time Complexity of Estimation of Distribution Algorithms,” in*Proceedings of**2007 IEEE Congress on Evolutionary Computation (CEC2007)*, Singapore, 2007, pp. 453-460. - Yang,
**K. Tang**and X. Yao, “Differential Evolution for High-Dimensional Function Optimization,” in*Proceedings of**2007 IEEE Congress on Evolutionary Computation (CEC2007)*, Singapore, 2007, pp. 3523-3530. - Ashish, G. Fogel,
**E. K. Tang**and P. N. Suganthan, “Feature Selection Approach for Quantitative Prediction of Transcriptional Activities,” in*Proceedings of**the 2006 IEEE**Symposium on Computational Intelligence in Bioinformatics and Computational Biology*2006. **K. Tang**, P. N. Suganthan and X. Yao, “Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization,” in*Proceedings of**the 2005 IEEE**Symposium on Computational Intelligence in Bioinformatics and Computational Biology**(CIBCB)*, San Diego, USA, November 2005, pp. 9-17.**K. Tang**, P. N. Suganthan and X. Yao, “Nonlinear Feature Extraction Using Evolutionary Algorithm,” in*Proceedings of the 11*, Calcutta, India, November 2004, LNCS Vol. 3316, pp. 1014-1019.^{th}Int. Conference on Neural Information Processing**K. Tang**, P. N. Suganthan and X. Yao, “Generalized LDA Using Relevance Weighting and Evolution Strategy,” in*Proceedings of**the 2004**Congress o**n**Evolutionary Computation*, Portland, USA, June 2004, Vol. 2, pp. 2230-2234.

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