个人简介
工作经历
2020-08至现在, 北京理工大学, 自动化学院, 教授
2018-05至2020-07, 美国明尼苏达大学, 博士后, 导师: Georgios B. Giannakis
教育经历
2015-02至2018-04, 美国明尼苏达大学, 电子与计算机工程, 博士, 导师: Georgios B. Giannakis
2011-09至2018-03, 北京理工大学, 控制科学与工程, 博士, 导师: 陈杰
2007-09至2011-06, 北京理工大学, 电气工程及其自动化, 学士
近5年承担的科研项目
科技部国家重点研发计划青年项目“数据/模型混合驱动的生产线智能协同与自主决策理论”，2021.11-2024.10，主持
国家自然科学基金面上项目“干扰对抗环境下多智能体分布式强化学习方法”， 2022.01-2024.12，主持
军科委国防科技173计划技术领域基金重点项目“面向xxx的强化学习算法”， 2021.11-2024.10，主持
中国人工智能学会-华为MindSpore学术奖励基金“多智能体分布式强化学习方法与有限时间性能分析”，2021.12-2022.11，主持
科研获奖
2019年获中国自动学学会“优秀博士学位论文奖”
2019年获国际电力与能源协会年会（IEEE PES-GM）“最佳会议论文”
2017年欧洲信号处理会议（Eusipco）“最佳学生论文奖”
讲授课程
研究生，最优化理论与方法
本科生，智能控制基础
教学成果
2020年教育部“互联网+”银奖
近期论文
查看导师新发文章
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Book Chapters
J. Chen, A. Sadeghi, H. Cao, and G. Wang*, Learning Shared and Discriminative Information from Multiview Data. Recent Advancements in Multi-View Data Analytics, W. Pedrycz, S.-M. Chen Editors, to appear 2022.
A. Sadeghi, G. B. Giannakis, G. Wang*, and Fatemeh Sheikholeslami, Reinforcement Learning for Caching with Space-Time Popularity Dynamics. Edge Caching for Mobile Networks, V. Poor and W. Chen Editors, December 2021.
Journal Papers
J. Chen, J. Sun, and G. Wang*, “From Unmanned Systems to Autonomous Intelligent Systems,” Engineering, pp. 1-5, to appear February 2022.
W. Liu, J. Sun, G. Wang*, F. Bullo, and J. Chen, “Data-Driven Resilient Model Predictive Control under Denial-of-Service,” IEEE Transactions on Automatic Control, pp. 1-13, conditionally accepted as a Paper March 2023.
G. Wang*, “Finite-time Error Bounds of Biased Stochastic Approximation with Application to TD-learning,” IEEE Transactions on Signal Processing, pp. 1-13, to appear 2022.
W. Liu, J. Sun*, G. Wang, F. Bullo, and J. Chen, “Resilient Control under Quantization and Denial-of-Service” IEEE Transactions on Automatic Control, pp. 1-13, to appear 2022.
G. Wang, H. Zhu, G. B. Giannakis, and J. Sun*, “Robust Power System State Estimation from Rank-One Measurements,” IEEE Transactions on Control of Network Systems, vol. 6, no. 4, pp. 1391-1403, December 2019.
G. Wang, G. B. Giannakis*, and J. Chen, “Robust and Scalable Power System State Estimation using Composite Optimization,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6137-6147, November 2019.
G. Wang*, G. B. Giannakis, and J. Chen, “Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization,” IEEE Transactions on Signal Processing, vol. 67, no. 9, pp. 2357-2370, May 2019.
G. Wang, G. B. Giannakis, J. Chen, and J. Sun*, “Distribution System State Estimation: An Overview of Recent Developments,” Springer Frontiers of Information Technology & Electronic Engineering, vol. 20, no. 1, pp. 4-17, January 2019. (Best Paper Award)
G. Wang, G. B. Giannakis*, Y. Saad, and J. Chen, “Phase Retrieval via Reweighted Amplitude Flow,” IEEE Transactions on Signal Processing, vol. 66, no. 11, pp. 2818-2833, June 2018.
G. Wang, G. B. Giannakis*, and Y. C. Eldar, “Solving Random Systems of Quadratic Equations via Truncated Amplitude Flow,” IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 773-794, February 2018.
Conference Papers
B. Tang, Y. Zhong, U. Neumann, G. Wang, S. Chen, and Y. Zhang, “Collaborative Uncertainty in MultiAgent Trajectory Forecasting,” Neural Information Processing Systems (NeurIPS), virtual, December 7-10, 2021. (Acceptance rate: 26%)
Z. Chen, W. Zhang, J. Yan, G. Wang, and J.-Y. Wang, “Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation,” ACM Intl. Conf. on Information and Knowledge Management (CIKM), Turin, Italy, October 22-26, 2021.
G. Wang, S. Lu, G. B. Giannakis, G. Tesauro, and J. Sun, “Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis,” Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 6-12, 2020. (Acceptance rate: 20%)
G. Wang and G. B. Giannakis, “Finite-Time Error Bounds for Biased Stochastic Approximation Algorithms with Applications to Q-Learning,” Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), Palermo, Sicily, Italy, June 3-5, 2020.
G. Wang, G. B. Giannakis, and J. Chen, “Fast LAV Estimation via Composite Optimization,” IEEE Power & Energy Society General Meeting (PES-GM), Atlanta, GA, August 4-8, 2019.
lected as one of the Best Conference Papers
G. Wang, G. B. Giannakis, Y. Saad, and J. Chen, “Solving Most Systems of Random Quadratic Equations,” Neural Information Process. Systems (NeurIPS), Long Beach, USA, Dec. 4-9, 2017. (Acceptance rate: 21%)
G. Wang, G. B. Giannakis, and J. Chen, “Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow,” European Signal Processing Conference (EUSIPCO), Kos Island, Greece, August 28-September 3, 2017.
G. Wang and G. B. Giannakis, “Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow,” Neural Information Processing Systems (NeurIPS), Barcelona, Spain, December 5-10, 2016. (Acceptance rate: 22.72%)
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