金博       博士 

  副教授， 博士生导师

  Office:    济事楼509

  Email:     bjin@tongji.edu.cn

主讲课程

计算机系统结构

研究方向

☆机器学习、多智能体强化学习、群体智能理论及应用

代表性科研项目

1、ZF预研项目, 可解释性××××技术, 2022-2024，项目负责人.

2、国家自然科学基金青年项目, 面向电子健康档案的患者相似度模型研究及其儿童社区获得性肺炎临床应用, 2018–2020, 项目负责人.

3、上海市科委创新行动计划人工智能科技支持专项, 面向多模态医学数据开放共享的数据治理解决方案, 2020-2022 课题负责人.

4、上海市科委创新行动计划人工智能科技支持专项, 可信人工智能关键共性技术研究, 2020-2022, 核心骨干.

5、科技部科技创新2030—新一代人工智能重大项目, 结构自适应自演化的高级机器学习方法研究,2020-2023，核心骨干.

6、国家自然科学基金重点项目, 面向患者健康档案的患者健康轨迹过程建模以及在呼吸道疾病的临床应用研究, 2017–2020，核心骨干.

7、上海市科委创新行动计划基础研究项目重点项目, 基于统计关联学习的异构数据融合理论方法及计算, 2015–2018, 核心骨干.

8、欧冶工业品企业合作项目, 面向钢铁工业品的商机挖掘与智能匹配技术, 2023-2023，项目负责人.

9、卡斯柯企业合作项目, 面向智慧城轨的可信人工智能技术, 2020-2021, 子项目负责人.

10、卡斯柯企业合作项目, 基于深度学习的地铁视频分析研究, 卡斯柯信号有限公司，2019-2020，项目负责人.

11、卡斯柯企业合作项目, 基于计算机视觉的轨交系统自动化测试技术, 卡斯柯信号有限公司，2018–2019，项目负责人.

代表性论文

1、Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha. F2A2: Flexible fully-decentralized approximate actor-critic for cooperative multi-agent reinforcement learning. Journal of Machine Learning Research (JMLR). 2023.

2、Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha. Hierarchical Diffusion for Offline Decision Making. International Conference on Machine Learning (ICML). 2023.

3、Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang. Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. Proceedings of the ACM Web Conference (WWW). 2023.

4、Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha. Learning Structured Communication for Multi-agent Reinforcement Learning. Autonomous Agents and Multi-Agent Systems (AAMAS). 2023.

5、Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha. Learning Optimal “Pigovian Tax” in Sequential Social Dilemmas. Autonomous Agents and Multi-Agent Systems (AAMAS). 2023.

6、Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang. Obtaining Dyadic Fairness by Optimal Transport. IEEE International Conference on Big Data (Big Data). 2022.

7、Hongyuan zha Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang. Mitigating Disparate Impact on Model Accuracy in Differentially Private Learning. Information Sciences. 2022.

8、Wenhao Li, Xiangfeng Wang Wang, Bo Jin, Dijun Luo, Hongyuan Zha. Structured Cooperative Reinforcement Learning with Time-varying Composite Action Space. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

9、Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang. Learning to schedule multi-NUMA virtual machines via reinforcement learning. Pattern Recognition (PR), 2022.

10、Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha. Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. International Conference on Learning Representations (ICLR), 2022.

11、Xiangfeng Wang Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha. VMAgent: A Practical Virtual Machine Scheduling Platform. International Joint Conference on Artificial Intelligence (IJCAI), 2022.

12、Xiangfeng Wang Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha. Multi-Agent Path Finding with Prioritized Communication Learning. International Conference on Robotics and Automation (ICRA), 2022.

13、Tingyu Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang. Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. International Conference on Database Systems for Advanced Applications (DASFAA), 2022.

14、Yua Hua, Xiangfeng Wang, Bo Jin, Wwenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha. HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2021.

15、Junjie Sheng, Yiqiu Hu, Wwenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang. Learning to Schedule Multi-NUMA Virtual Machines via Reinforcement Learning. Pattern Recognition (PR), 2021.

16、Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha. Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. Autonomous Agents and Multiagent Systems (AAMAS), 2021.

17、Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang. Boundaryaware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning. IEEE Transactions on Medical Imaging (TMI), 2020.

18、Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin. Low Rank Communication for Federated Learning. International Conference on Database Systems for Advanced Applications (DASFAA), 2020.

19、Wenyan Liu, Chuyun Shen, Xiangfeng Wang, Bo Jin, Xinjian Lu, Xiaoling Wang, Hongyuan Zha, Jifeng He. Fairness in Trustworthy Machine Learning: A Survey. Journal of Software, 2020.

20、Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li. Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Transactions on Cybernetics, 2020.

21、Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha. Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR), 2018.

22、Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha, Junchi Yan. Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. 30th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

23、Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha, Xiaokang Yang. On modeling and predicting individual paper citation count over time. 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.