師資
王振坤，IEEE高級會員、南方科技大學助理教授、廣東省全驅系統理論與技術重點實驗室副主任、博士生導師，研究方向為人工智能與調度優化，以第一/通訊作者身份在IEEE匯刊、ICML、NeurIPS等國際高水平期刊和會議上發表論文80余篇（其中IEEE匯刊論文20篇和CCF A類會議論文12篇），獲2023年度中國仿真學會自然科學獎二等獎（1/7）、2023年度廣東省自然科學二等獎（2/5）、第八屆全國青年人工智能創新創業大會創新組一等獎（1/3）、第六屆智能優化與調度學術會議青年科學家獎、 華為公司火花獎、深圳市“海外高層次人才”等榮譽；主持國自然面上和青年項目、省市級項目多項，擔任兩個JCR Q1期刊的副編輯（Associate Editor）、IEEE計算智能學會深圳分會學生事務主席、中國人工智能學會青年工作委員會委員、中國仿真學會智能仿真優化與調度專委會委員以及多個國際會議的程序委員會委員。
研究方向
多目標優化與啟發式算法
神經組合優化與供應鏈管理
數據驅動的復雜優化
醫學影像處理
工作經歷
2020 年 6 月 - 至今 南方科技大學，自動化與智能制造學院，助理教授
2020 年 4 月 - 5 月 香港城市大學深圳研究院，研究員
2019 年 1 月 - 2020 年 3 月 香港城市大學，電腦科學系，博士后研究員
2017 年 2 月 - 2019 年 1 月 南洋理工大學，計算機科學與工程學院，博士后研究員
教育經歷
2011 年 - 2016 年 西安電子科技大學，電子工程學院，博士
2007 年 - 2011 年 山東建筑大學，信息與電氣工程學院，學士
發表文章
Journal publications
[1] Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo and Zhenkun Wang. “Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, in press.(TSMC, IF: 7.351)
[2] Jianping Luo, Xiongwen Huang, Yun Yang, Xia Li, Zhenkun Wang, Jiqiang Feng. “A Many-objective Particle Swarm Optimizer based on Indicator and Direction Vectors for Many-objective Optimization”. Information Sciences, 514: 166-202 2020.(INS, IF: 5.524)
[3] Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng. “A Neurodynamic Approach to Nonsmooth Pseudoconvex Optimization Problems” , Neural Networks, 124: 180-192.(NN, IF: 7.197)
[4] Hao Li, Yew-Soon Ong, Maoguo Gong and Zhenkun Wang. “Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study”, IEEE Transactions on Evolutionary Computation, 23(5): 733-747, 2019.(TEVC, IF: 8.508)
[5] Jianping Luo, Abhishek Gupta, Yew-Soon Ong and Zhenkun Wang. “Evolutionary Optimization of Expensive Multi-objective Problems with Gaussian Co-subPF Surrogates”, IEEE Transactions on Cybernetics, 49(5): 1708-1721, 2019.(TCYB, IF: 10.387)
[6] Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta and Qingfu Zhang. “A Generator for Multiobjective Test Problems with Difficult-to-Approximate Pareto Front Boundaries” IEEE Transactions on Evolutionary Computation, 23(4): 556-571, 2019.(TEVC, IF: 8.508)
[7] Zhenkun Wang, Yew-Soon Ong and Hisao Ishibuchi. “On Scalable Multiobjective Test Problems with Hardly-dominated Boundaries”, IEEE Transactions on Evolutionary Computation, 23(2): 217-231, 2019.(TEVC, IF: 8.508)
[8] Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi and Licheng Jiao. “On The Use of Two Reference Points in Decomposition Based Multiobjective Evolutionary Algorithms,”, Swarm and Evolutionary Computation, 34: 89-102, 2017.(Swarm & EC, IF: 6.33)
[9] Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, Kai Qin, Zhenkun Wang and Licheng Jiao. “Discrete Particle Swarm Optimization for High-order Graph Matching”, Information Sciences, 328: 158-171 2016.(INS, IF: 5.524)
[10] Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong and Licheng Jiao. Adaptive Replacement Strategies for MOEA/D, IEEE Transactions on Cybernetics, 46(2): 474-486, 2016.(TCYB, IF: 10.387) [ESI highly cited paper]
Conference publications
[1] Qingyu Tan, Zhenkun Wang, Yew-Soon Ong, Kin Huat Low. “Evolutionary Optimization-based Mission Planning for UAS Traffic Management (UTM)”, 2019 International Conference on Unmanned Aircraft Systems, p. 952-958, (ICUAS) 2019.
[2] Mohamed Faisal B Mohamed Salleh, Wanchao Chi, Zhenkun Wang, Shuangyao Huang, Da-Yang Tan, Tingting Huang, Kin Huat Low. “Preliminary Concept of Adaptive Urban Airspace Management for Unmanned Aircraft Operations” AIAA Information Systems-AIAA Infotech@ Aerospace p. 2260, (AIAA) 2018.
[3] Xingxing Hao, Jing Liu, Zhenkun Wang. “An Improved Global Replacement Strategy for MOEA/D on Many-objective Kanpsack Problems.” 2017 IEEE Congress on Automation Science and Engineering, p. 624-629, (CASE) 2017.
[4] Improved Adaptive Global Replacement Scheme for MOEA/D-AGR.
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin-Chun Ng, Chi-Chung Cheung, Andrew K Lui.
In 2016 IEEE Congress on Evolutionary Computation, p. 2153-2160, (CEC) 2016.
[5] Zhenkun Wang, Qingfu Zhang, Hui Li. “Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work.” 2015 IEEE Conference on Systems, Mans and Cybernetics, p. 2849–2854. (SMC) 2015.
[6] Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou. “A Replacement Strategy for Balancing Convergence and Diversity in MOEA/D.” 2014 IEEE Congress on Evolutionary Computation, p. 2132-2139, (CEC) 2014.