Mr. Xiaogen Zhou received his Ph.D degree from Guijun Zhang's Lab at College of Information Engineering in Zhejiang University of Technology in 2018. From 2016.12-2018.2, he acted as a jointly trained PhD student of China Scholar Council at the University of Michigan (Ann Arbor) in USA. He is currently a Post-Doctoral Fellow of Yang Zhang Lab at Department of Computational Medicine and Bioinformatics in University of Michigan (Ann Arbor). His research interests include intelligent information processing, optimization theory and algorithm design, and bioinformatics.

Published Papers (>> Google Scholar Citation Profile)

• Xiaogen Zhou, Jun Hu, Chengxin Zhang, Guijun Zhang, and Yang Zhang. Assembling multidomain protein structures through analogous global structural alignments [J]. Proceedings of the National Academy of Sciences, 2019, 116(32): 15930-15938. [Web Server]

• Xiaogen Zhou, Chunxiang Peng, Jun Liu, Yang Zhang, and Guijun Zhang. Underestimation-assisted global-local cooperative differential evolution and the application to protein structure prediction [J]. IEEE Transactions on Evolutionary Computation, doi:10.1109/TEVC.2019.2938531, 2019.

• Xiaogen Zhou and Guijun Zhang. Differential Evolution With Underestimation-Based Multimutation Strategy [J]. IEEE Transactions on Cybernetics, 2019, 49(4): 1353-1364.

• Xiaogen Zhou and Guijun Zhang. Abstract convex underestimation assisted multistage differential evolution [J]. IEEE Transactions on Cybernetics, 2017, 47(9): 2730-2741.

• Xiaogen Zhou, Guijun Zhang, Xiaohu Hao, and Li Yu. A novel differential evolution algorithm using local abstract convex underestimate strategy for global optimization [J]. Computers & Operations Reasearch, 2016, 75(11): 132-129.

• Xiaogen Zhou, Guijun Zhang, Xiaohu Hao, Li Yu, and Dongwei Xu. Enhanced differential evolution using local Lipschitz underestimate strategy for computationally expensive optimization problems [J]. Applied Soft Computing, 2016, 48(11): 169-181.

• Xiaogen Zhou, Guijun Zhang, and Xiaohu Hao. Differential evolution algorithm with local abstract convex region rartition [J]. Acta Automatica Sinica (自动化学报), 2015, 41(07): 1315-1327 (in Chinese).

• Xiaogen Zhou, Guijun Zhang, Xiaohu Hao, and Li Yu. Differential evolution algorithm based on local Lipschitz underestimate supporting hyperplanes [J]. Chinese Journal of Computers (计算机学报), 2016, 39(12): 2631-2651 (in Chinese).

• Xiaogen Zhou, Guijun Zhang, Shan Mei, and Jie Ming. Differential evolution algorithm based on abstract convex underestimate selection strategy [J]. Control Theory & Applications (控制理论与应用), 2015, 32(03): 388-397 (in Chinese).

• Guijun Zhang, Xiaogen Zhou, Xufeng Yu, and Xiaohu Hao. Enhancing protein conformational space sampling using distance profile-guided differential evolution [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(6): 1288-1301.

• Xiaohu Hao, Guijun Zhang, and Xiaogen Zhou. Conformational space sampling method using multi-subpopulation differential evolution for De novo protein structure prediction [J]. IEEE Transactions on NanoBioscience, 2017, 16(7): 618-633.

• Xiaohu Hao, Guijun Zhang, Xiaogen Zhou, and Xufeng Yu. A Novel Method Using Abstract Convex Underestimation in Ab-initio Protein Structure Prediction for Guiding Search in Conformational Feature Space [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, 13(5): 887-900.

• Xiaohu Hao, Guijun Zhang, and Xiaogen Zhou. Guiding exploration in conformational feature space with Lipschitz underestimation for ab-initio protein structure prediction [J]. Computational biology and chemistry, 2018, 73(4):105-119.

• Guijun Zhang and Xiaogen Zhou. Population-based global optimization algorithm using abstract convex underestimate [J]. Control and Decision (控制与决策), 2015, 30(06): 1116-1120 (in Chinese).

• Liujing Wang, Guijun Zhang, and Xiaogen zhou. Adaptive multi-strategy differential evolution algorithm based on state estimation feedback, Acta Automatica Sinica (自动化学报), in press.

• Guijun Zhang, Ming Chen, and Xiaogen Zhou. Two-stage differential evolution algorithm using dynamic niche radius for multimodal optimization, Control and Decision (控制与决策), 2016, 31(07): 1185-1191 (in Chinese).

• Guijun Zhang, Liujing Wang, Xiaogen Zhou, and Qing Ding. Differential evolution algorithm with conjugate enhancement strategy, Control and Decision (控制与决策), 2017, 32(07): 1313-1318 (in Chinese).

• Guijun Zhang, Xiaohu Hao, Xiaogen Zhou, and Chuanqing Qin. Ab-initio dynamic-step-size searching of protein conformational space, Journal of Jilin University (Engineering and Technology Edition) (吉林大学学报), 2016, 46(2): 585-594 (in Chinese).

• Xiaohu Hao, Guijun Zhang, Xiaogen Zhou, and Chuanqing Qian. Protein conformational space optimization algorithm based on fragment-assembly, Computer Science (计算机科学), 2015, 42(03): 237-240 (in Chinese).

• Guijun Zhang, Hudong Xia, Xiaogen Zhou, and Beijin Zhang. Hybrid differential evolution based on tabu search algorithm for distribution network line planning, Computer Science (计算机科学), 2016, 43(10): 248-255. 2016 (in Chinese).

• Xiaogen Zhou, Guijun Zhang, Xiaohu Hao, Li Yu, and Dongwei Xu. Differential Evolution with multi-stage strategies for global optimization [C]. IEEE Congress on Evolutionary Computation, 2016, 2550-2557, Canada.

• Guijun Zhang, Dongwei Li, Xiaogen Zhou, and Dongwei Xu. Differential evolution with dynamic niche radius strategy for multimodal optimization [C]. The 27th Chinese Control and Decision Conference, 2015, 3059-3064, Qingdao.

• Guijun Zhang, Xufeng Yu, Xiaogen Zhou, and Xiaohu Hao. A population-based conformational optimal algorithm using replica-exchange in ab-initio protein structure prediction [C]. The 28th Chinese Control and Decision Conference, 2016, 701-706, Yinchuan.

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