教育与工作经历

工作经历：

2020-08至现在, 咬一口兔娘反差视频, 咬一口兔娘反差视频, 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, 咬一口兔娘反差视频, 控制科学与工程, 博士, 导师: 陈杰

2007-09至2011-06, 咬一口兔娘反差视频, 电气工程及其自动化, 学士

 

研究方向

1. 数据/模型混合驱动控制与安全

2. 多智能体强化学习与优化决策

3. 自主智能无人系统

近5年承担的科研项目

1. 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

2. 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

3. 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

4. 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

代表性学术论文

在IEEE TIT/TAC/TSP等汇刊发表论文40篇，NeurIPS/AISTATS等国际会议发表论文40篇。

1. Book Chapters

[B1] 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.

[B2] 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.

2. Journal Papers

[J1] J. Chen, J. Sun, and G. Wang*, “From Unmanned Systems to Autonomous Intelligent Systems,” Engineering, pp. 1-5, to appear February 2022.

[J2] 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.

[J3] 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.

[J4] 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.

[J5] 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.

[J6] 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.

[J7] 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.

[J8] 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)

[J9] 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.

[J10] 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.

3. Conference Papers

[C1] 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%)

[C2] 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.

[C3] 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%)

[C4] 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.

[C5] 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.

— Selected as one of the Best Conference Papers

[C6] 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%)

[C7] 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.

[C8] 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%)

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

1. 研究生，最优化理论与方法

2. 本科生，智能控制基础

教学成果

2020年教育部“互联网+”银奖

学术兼职

1. Signal Processing副主编，2019—Present

2. IEEE/CAA Journal of Automatica Sinica（《自动化学报》英文版）青年编委，2021—Present

3. IEEE Transactions on Signal and Information Processing over Networks副主编，2021—Present

4. 中国网络空间内生安全技术与产业联盟人工智能专委会副秘书长