2014 – 2018 法国昂热大学 计算机 博士
2011 – 2014 浙江大学 控制工程 硕士
2007 – 2011 东华大学 自动化 本科

2021 – 至今 上海交通大学 中美物流研究院 助理研究员、副研究员
2018 – 2021 华东理工大学 计算机科学与工程系 讲师

运筹优化，智能优化，进化计算，人工智能，大数据，机器学习及其在智能制造、交通与物流供应链领域的应用。

1. 国家自然科学基金项目，不确定环境下数据与知识驱动的智能生产计划方法研究，2024-01至2027-12，在研，主持。
2. 上海市白玉兰人才计划浦江项目，基于关键节点检测的网络脆弱性评估算法与应用研究，2023-10至2026-09，在研，主持。
3. 深圳市人工智能与机器人研究院探索项目, 基于学习机制的多移动机器人路径规划算法及其应用, 2020-11至2022-10, 结题, 主持。
4. 国家自然科学基金项目，面向一类关键节点检测问题的学习型进化算法研究，2020-01至2022-12，结题，主持。
5. 上海市青年科技英才扬帆计划项目，基于学习机制的混合进化算法研究，2019-05至2022-04，结题，主持。
6. 科技创新2030-“新一代人工智能”重大项目，群智涌现机理与演化计算方法， 2019-10至2022-10，结题，参与。

在运筹优化和人工智能领域发表和录用SCI/SSCI论文30余篇，其中第一作者/通信作者论文24篇。Google Scholar引用1400余次，H因子为19，i10因子为29。 部分代表性论文如下(*表示通信作者)：
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):39-40 (UTD-24, Featured Article，运筹优化领域顶级期刊).  ResearchGate  校新闻网
[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，运筹优化领域顶级期刊).  ResearchGate
[3].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 (自动化领域权威期刊).  ResearchGate
[4].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 (智能交通领域顶级期刊).  ResearchGate
[5].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 (社会科学领域高水平期刊).  ResearchGate

2023
[6].Yangming Zhou, Yawen Kou, and MengChu Zhou* (2023). Bilevel Memetic Search Approach for Soft-Clustered Vehicle Routing Problem. Transportation Science, 57(3):701-716. (交通和物流领域顶级期刊) ResearchGate
[7].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 (运筹优化领域权威期刊).  ResearchGate
[8].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 (智能交通领域顶级期刊).  ResearchGate

2022
[9].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 (智能交通领域顶级期刊).  ResearchGate
[10].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 (人工智能领域顶级期刊).  ResearchGate

2021
[11].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 (人工智能领域顶级期刊).  ResearchGate
[12].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 (人工智能领域高水平期刊).  ResearchGate
[13].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 (人工智能领域高水平期刊).  ResearchGate

2020
[14].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 (医疗信息领域高水平期刊).  ResearchGate

2019
[15].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 (人工智能领域顶级期刊).  ResearchGate
[16].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 (医疗信息领域高水平期刊).  ResearchGate
[17].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 (医疗信息领域高水平期刊).  ResearchGate
[18].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 (医疗信息领域高水平期刊).  ResearchGate

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

2017
[21].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 (人工智能领域顶级期刊).  ResearchGate
[22].Yangming Zhou and Jin-Kao Hao* (2017). An Iterated Local Search Algorithm for the Minimum Differential Dispersion Problem. Knowledge-Based Systems, 125:26-38 (人工智能领域高水平期刊).  ResearchGate

2016
[23].Yangming Zhou, Jin-Kao Hao*, and Beatrice Duval (2016). Reinforcement Learning Based Local Search for Grouping Problems: A Case Study on Graph Coloring. Expert Systems with Applications, 64:412-422 (人工智能领域高水平期刊).  ResearchGate

2014
[24].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 (人工智能领域高水平期刊).  ResearchGate
[25].Yangming Zhou, Yangguang Liu*, Jiangang Yang, Xiaoqi He, and Liangliang Liu (2014). A Taxonomy of Label Ranking Algorithms. Journal of Computers, 9(3):557-565.  ResearchGate

主讲课程:
1.《人工智能应用》
2.《大数据与物联网应用》
3.《计算机程序设计(全英文)》

已授权国家发明专利5项，授权计算机软件著作权4项。
1. 一种面向桥梁病害评级数据的去噪方法, ZL201910327313.0, 国家发明专利，已授权
2. 一种基于问答的临床文本机构化方法, ZL201910757519.7, 国家发明专利，已授权
3. 一种基于集中注意力模型的实体、关系联合学习方法, ZL201910764347.6, 国家发明专利，已授权
4. 一种多粒度医疗实体联合识别的方法及装置, ZL201910764347.6, 国家发明专利，已授权
5. 一种基于边界增强的心衰死亡预测系统, ZL202010079358.3, 国家发明专利，已授权
6. 一种求解软集群车辆路径问题的混合模因搜索方法, 2022107143937, 国家发明专利，已公开

1. 香港中文大学(深圳), 客座副研究员
2. 教育部学位与研究生教育发展中心, 研究生学位论文评审专家
3. 综合性SCI期刊《PLoS One》学术编辑
4. 国际电气和电子工程师协会高级会员(IEEE Senior Member)

1. 上海市白玉兰人才计划浦江项目 (2023)
2. 人力资源和社会保障部澳门青年学者计划 (2020)
3. 上海市青年科技英才扬帆计划 (2019)
4.《Knowledge-Based Systems》 (SCI, 中科院1区TOP期刊)杰出审稿人 (2017)