2014 – 2018: Ph. D, Department of Computer Science, University of Angers, France
2011 – 2014: MA. Eng, Department of Control Science and Engineering, Zhejiang University, China
2007 – 2011: B.S., Department of Automation, Donghua University, China

2024 – now: Associate Professor, Shanghai Jiao Tong University
2021 – 2023: Assistant Professor, Shanghai Jiao Tong University
2018 – 2021: Assistant Professor, East China University of Science and Technology

Combinatorial optimization, evolutionary computation, intelligent optimization, meta-heuristics, machine learning, and their applications to transportation and logistics.

[1]. National Natural Science Foundation of China (NSFC), General Program (Project No.72371157)，2024-2027， PI.
[2]. National Natural Science Foundation of China (NSFC), Youth Program (Project No.61903144)，2020-2022， PI.
[3]. Shanghai Pujiang Program (Category C) (Project No.23PJC070), 2023-2026, PI.
[4]. Macau Young Scholars Program (Project No.AM2020011), 2021-2022, PI.
[5]. Shanghai Sailing Program (No.19YF1412400), 2019-2022， PI.
[6]. Shenzhen Institute of Artificial Intelligence and Robotics, Open Program (Project No.AC01202005002), PI.
[7]. National Key R&D Program of China (Project No.2018AAA0101300), 2019-2022
[8]. Fundo Para o Desenvolvimento das Ciências da Tecnologia (FDCT), (Project No. 0047/2021/A1), 2021-2024
[9]. CITIC Heavy Industry Program (Project No. 21-2288), 2021-2022

He has over 40 publications, including journal papers on INFORMS JOC (UTD-24, Featured Article), INFORMS TS, EJOR, IEEE TEVC, IEEE TCYB, IEEE TSMC, IEEE TITS, IEEE TASE, IEEE TCCS, etc. His Google Scholar is 1500+ (h-index 20 and i10-index 32)
2024
[1].Yangming Zhou, Jiaqi Li, Jin-Kao Hao*, and Fred Glover* (2024). Detecting Critical Nodes in Sparse Graphs via “Reduce-Solve-Combine” Memetic Search. INFORMS Journal on Computing, 36(1):39-60 (UTD-24, Featured Article).  ResearchGate  News
[2].Yangming Zhou, Jin-Kao Hao*, and Zhen Li (2024). Heuristic Search for Rank Aggregation with Application to Label Ranking. INFORMS Journal on Computing, 36(2):308-326 (UTD-24).  ResearchGate
[3].Yangming Zhou, Chenhui Qu, Qinghua Wu*, Yawen Kou, Zhibin Jiang, and MengChu Zhou* (2024). A Bilevel Hybrid Iterated Search Approach to Soft-clustered Capacitated Arc Routing Problems. Transportation Research Part B: Methodological,184:102944.  ResearchGate
[4].Yangming Zhou, Wenqiang Xu, MengChu Zhou, and Zhang-Hua Fu* (2024). Bi-trajectory Hybrid Search to Solve Bottleneck-minimized Colored Traveling Salesman Problems. IEEE Transactions on Automation Science and Engineering,21(1):895-905.  ResearchGate
[5].Yuning Chen, Junhua Xue, Yangming Zhou*, and Qinghua Wu (2024). An Efficient Threshold Acceptance-based Multi-layer Search Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Transactions on Intelligent Transportation Systems, Online.  ResearchGate
[6].Yangming Zhou, Gezi Wang, and MengChu Zhou* (2024). Detecting k-Vertex Cuts in Sparse Networks via a Fast Local Search Approach. IEEE Transactions on Computational Social Systems, 11(2):1832-1841.  ResearchGate

2023
[7].Yangming Zhou, Yawen Kou, and MengChu Zhou* (2023). Bilevel Memetic Search Approach for Soft-Clustered Vehicle Routing Problem. Transportation Science, 57(3):701-716.  ResearchGate
[8].Yangming Zhou, Gezi Wang, Jin-Kao Hao, Na Geng, and Zhibin Jiang* (2023). A Fast Tri-individual Memetic Search for the Distance-based Critical Node Problem. European Journal of Operational Research, 308(2):540-554.  ResearchGate
[9].Yangming Zhou, Xiaze Zhang, Na Geng, Zhibin Jiang, Shouguang Wang, and MengChu Zhou* (2023). Frequent Itemset-Driven Search for Finding Minimal Node Separators and Its Application to Air Transportation Network Analysis. IEEE Transactions on Intelligent Transportation Systems, 24(8):8348-8360.  ResearchGate

2022
[10].Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, and MengChu Zhou* (2022). Multi-neighborhood Simulated Annealing-based Iterated Local Search for Colored Traveling Salesman Problems. IEEE Transactions on Intelligent Transportation Systems, 23(9):16072-16082.  ResearchGate
[11].Yangming Zhou, Jin-Kao Hao*, and Beatrice Duval (2022). Frequent Pattern Based Search: A Case Study on the Quadratic Assignment Problem. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(3):1503-1515.  ResearchGate

2021
[12].Yangming Zhou, Jin-Kao Hao*, Zhang-Hua Fu*, Zhe Wang, and Xiangjing Lai (2021). Variable Population Memetic Search: A Case Study on the Critical Node Problem. IEEE Transactions on Evolutionary Computation, 25(1):187-200.  ResearchGate
[13].Yangming Zhou, Zhe Wang, Yan Jin, and Zhang-Hua Fu* (2021). Late Acceptance-based Heuristic Algorithms for Identifying Critical Nodes of Weighted Graphs. Knowledge-Based Systems, 211:106562.  ResearchGate
[14].Tingting Cai, Zhiyuan Ma, Hong Zheng, and Yangming Zhou*. NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on the EHRs. Neural Computing and Applications, 33:125235-12549.  ResearchGate

2020
[15].Zhe Wang*, Bolu Wang, Yangming Zhou*, Dongdong Li, and Yichao Yin (2020). Weight-Based Multiple Empirical Kernel Learning with Neighbor Discriminant Constraint for Heart Failure Mortality Prediction. Journal of Biomedical Informatics, 101:103340.  ResearchGate

2019
[16].Yangming Zhou, Jin-Kao Hao*, and Fred Glover (2019). Memetic Search for Identifying Critical Nodes in Sparse Graphs. IEEE Transactions on Cybernetics, 49(10):3699-3712.  ResearchGate
[17].Qi Wang, Yangming Zhou*, Tong Ruan, Daqi Gao, Yuhang Xia, and Ping He (2019). Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition. Journal of Biomedical Informatics，92:103133.  ResearchGate
[18].Jiahui Qiu#, Yangming Zhou#*, Qi Wang, Tong Ruan*, and Ju Gao (2019). Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network with Conditional Random Field. IEEE Transactions on NanoBioscience，18(3):306-315.  ResearchGate
[19].Tong Ruan, Liqi Lei, Yangming Zhou*, Jie Zhai, Le Zhang, Ping He, and Ju Gao (2019). Representation Learning for Clinical Time Series Prediction Tasks in Electronic Health Records. BMC Medical Informatics and Decision Making, 19(8):259.  ResearchGate

2018
[20].Yangming Zhou, Beatrice Duval, and Jin-Kao Hao* (2018). Improving Probability Learning Based Local Search for Graph Coloring. Applied Soft Computing, 65:542-553.  ResearchGate
[21].Yangming Zhou and Guoping Qiu* (2018). Random Forest for Label Ranking. Expert Systems with Applications, 112:99-109.  ResearchGate

2017
[22].Yangming Zhou, Jin-Kao Hao*, and Beatrice Duval (2017). Opposition-Based Memetic Search for the Maximum Diversity Problem. IEEE Transactions on Evolutionary Computation, 21(5):731-745.  ResearchGate
[23].Yangming Zhou and Jin-Kao Hao* (2017). An Iterated Local Search Algorithm for the Minimum Differential Dispersion Problem. Knowledge-Based Systems, 125:26-38.  ResearchGate

2016
[24].Yangming Zhou, Jin-Kao Hao*, and Beatrice Duval (2017). Reinforcement Learning based Local Search for Grouping Problems: A Case Study on Graph Coloring. Expert Systems with Applications, 64:412-422.  ResearchGate

2014
[25].Yangming Zhou, Yangguang Liu, Xiao-Zhi Gao, and Guoping Qiu (2014). A Label Ranking Method based on Gaussian Mixture Model. Knowledge-Based Systems, 72:108-113.  ResearchGate
[26].Yangguang Liu, Yangming Zhou, Shiting Wen, Chaogang Tang (2014). A Strategy on Selecting Performance Metrics for Classifier Evaluation. International Journal of Mobile Computing and Multimedia Communications, 6(4):20-35 (SCI).  ResearchGate

[1].《Artificial Intelligence and its Applications》 (Graduate Course)
[2].《Big Data and Internet of Things》 (Graduate Course)
[3].《Computer Programming》 (Undergraduate Course)

[1]. Academic Editor of PLOS ONE (JCR Q1)
[2]. Industry Chairs of IEEE iCaMaL 2024
[3]. Associate Editor of IEEE SMC 2024
[4]. Reviewers of IEEE TKDE, IEEE TNNLS, IEEE TEVC, IEEE TASE, IEEE TITS, IEEE TSMC, IEEE TBD, ACM TELO, IEEE/CAA JAS, COR, PR, BKS, etc.

[1]. Shanghai Pujiang Program (2023)
[2]. Macau Young Scholars Program (2020)
[3]. Young Talents Program (Category A) (2019)
[4]. Shanghai Sailing Program (2019)
[5]. Outstanding Reviewer of Knowledge-Based Systems Journal (2017)