師資
王振坤，IEEE高級(jí)會(huì)員、南方科技大學(xué)助理教授、廣東省全驅(qū)系統(tǒng)理論與技術(shù)重點(diǎn)實(shí)驗(yàn)室副主任、博士生導(dǎo)師，研究方向?yàn)槿斯ぶ悄芘c調(diào)度優(yōu)化，以第一/通訊作者身份在IEEE匯刊、ICML、NeurIPS等國(guó)際高水平期刊和會(huì)議上發(fā)表論文80余篇（其中IEEE匯刊論文20篇和CCF A類會(huì)議論文12篇），獲2023年度中國(guó)仿真學(xué)會(huì)自然科學(xué)獎(jiǎng)二等獎(jiǎng)（1/7）、2023年度廣東省自然科學(xué)二等獎(jiǎng)（2/5）、第八屆全國(guó)青年人工智能創(chuàng)新創(chuàng)業(yè)大會(huì)創(chuàng)新組一等獎(jiǎng)（1/3）、第六屆智能優(yōu)化與調(diào)度學(xué)術(shù)會(huì)議青年科學(xué)家獎(jiǎng)、 華為公司火花獎(jiǎng)、深圳市“海外高層次人才”等榮譽(yù)；主持國(guó)自然面上和青年項(xiàng)目、省市級(jí)項(xiàng)目多項(xiàng)，擔(dān)任兩個(gè)JCR Q1期刊的副編輯（Associate Editor）、IEEE計(jì)算智能學(xué)會(huì)深圳分會(huì)學(xué)生事務(wù)主席、中國(guó)人工智能學(xué)會(huì)青年工作委員會(huì)委員、中國(guó)仿真學(xué)會(huì)智能仿真優(yōu)化與調(diào)度專委會(huì)委員以及多個(gè)國(guó)際會(huì)議的程序委員會(huì)委員。
研究方向
多目標(biāo)優(yōu)化與啟發(fā)式算法
神經(jīng)組合優(yōu)化與供應(yīng)鏈管理
數(shù)據(jù)驅(qū)動(dòng)的復(fù)雜優(yōu)化
醫(yī)學(xué)影像處理
工作經(jīng)歷
2020 年 6 月 - 至今 南方科技大學(xué)，自動(dòng)化與智能制造學(xué)院，助理教授
2020 年 4 月 - 5 月 香港城市大學(xué)深圳研究院，研究員
2019 年 1 月 - 2020 年 3 月 香港城市大學(xué)，電腦科學(xué)系，博士后研究員
2017 年 2 月 - 2019 年 1 月 南洋理工大學(xué)，計(jì)算機(jī)科學(xué)與工程學(xué)院，博士后研究員
教育經(jīng)歷
2011 年 - 2016 年 西安電子科技大學(xué)，電子工程學(xué)院，博士
2007 年 - 2011 年 山東建筑大學(xué)，信息與電氣工程學(xué)院，學(xué)士
發(fā)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.