Xiaoliang Ma is currently an Associate Professor with the College of Computer Science and Software Engineering, Shenzhen University. He received the Ph.D. degree in computer application technology from Xidian University, China, in 2014.  His research interests include artificial intelligence, evolutionary algorithms, multi-objective optimization, large-scale optimization, path optimization and other directions. More than 50 papers have been published.

Representative papers:
[1] Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu*. A Survey on Cooperative Co-evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2018, accepted, 10.1109/TEVC.2018.2868770. 
[2] Xiaoliang Ma, Fang Liu, Yutao Qi, Xiaodong Wang, Lingling Li, Licheng Jiao, Minglei Yin, Maoguo Gong. A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables. IEEE Transactions on Evolutionary Computation, 2016, 20(2): 275-298. 
[3] Xiaoliang Ma, Qingfu Zhang, Guangdong Tian, Junshan Yang, and Zexuan Zhu. On Tchebycheff decomposition approaches for multiobjective evolutionary optimization. IEEE Transactions on Evolutionary Computation, 2018, 22(2): 226-244. 
[4] Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Meiyun Liu, Jianshe Wu. MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem. Neurocomputing. 2014, 145: 336-352. 
[5] Xiaoliang Ma, Fang Liu, Yutao Qi. etal. MOEA/D with opposition-based learning for multiobjective optimization problem. Neurocomputing. 2014, (146):48-64.
[6] Xiaoliang Ma, Yutao Qi, Lingling Li, Maoguo Gong, Minglei Yin, Lingling Li, Licheng Jiao, Jianshe Wu. MOEA/D with uniform decomposition measurements for many-objective problems. Soft Computing. 2014.12, 18(12): 2541-2564.
[7] Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Xiaozheng Deng, Xiaodong Wang, Bei Dong, Zhanting Hou, Yongxiao Zhang, Jianshe Wu. MOEA/D with biased weight adjustment inspired by user-preference and its application on multi-objective reservoir flood control problem. Soft Computing, 20(12): 4999-5023, 2016.
[8] Yutao Qi, Xiaoliang Ma, Fang Liu, Licheng Jiao, Jianyong Sun, Jianshe Wu. MOEA/D with adaptive weight adjustment. Evolutionary Computation. 2014, 22(2): 231-264.
[9] Yutao Qi, Liang Bao, Xiaoliang Ma, Qiguang Miao, Xiaodong Li. Self-adaptive multi-objective evolutionary algorithm based on decomposition for large-scale problems: A case study on reservoir flood control operation. Information Sciences. 367-368(1): 529-549, 2016.
[10] Yutao Qi, Qingfu Zhang, Xiaoliang Ma, Yining Quan, Qiguang Miao. Utopian point based decomposition for multi-objective optimization problems with complicated Pareto fronts. Applied Soft Computing, 844-859, 2017. 
[11] Yang Junshan, Zhou Jiarui, Zexuan Zhu, Xiaoliang Ma, Zhen Ji. Iterative Ensemble Feature Selection for Multiclass Classification of Imbalanced Microarray Data. Journal of Biological Research, 2016, 23(13):1-9.