教育与工作经历

工作经历：

2020-08至现在, yl34511线路中心, yl34511线路中心, 教授

2018-05至2020-07, 美国明尼苏达大学, 博士后

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

2011-09至2018-03, yl34511线路中心, 控制科学与工程, 博士

2007-09至2011-06, yl34511线路中心, 电气工程及其自动化, 学士

 

研究方向

1. 数据驱动控制与安全

2. 世界模型与强化学习

3. 具身智能与无人系统

课题组长期招收博士后、科研助理、工程师，欢迎与我邮件联系。

近5年承担的科研项目

1. 国家自然科学基金联合重点项目“不完全信息下分布式探测系统动态博弈理论与智能决策方法”，2024.01-2027.12，主持

2. 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

3. 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

4. JW科技委173技术领域基金重点项目“xxx强化学习算法”，2021.11-2024.10，主持

5. 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

近五年，指导本科生、硕士生、博士生在NeurIPS/ICRA/ICASSP/CDC等国际会议上发表论文40篇，以及Automatica、IEEE TAC/TSP/RAL等期刊上发表论文50篇。

1. Book Chapters

[B1] J. Chen, H. Cao, A. Sadeghi, and G. Wang*, Learning Shared and Discriminative Information from Multiview Data. Recent Advancements in Multi-View Data Analytics, W. Pedrycz, S.-M. Chen Editors, May 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.

[B3] V. Kekatos, G. Wang, H. Zhu, and G. B. Giannakis, PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches. Advances in Power System State Estimation, M. El-Hawary Editor, December 2019.

2. Selected Journal Papers

[J1] Z. Zhou, G. Wang*, J. Sun, J. Wang, and J. Chen, “Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight,” IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 7913 - 7920, December 2023.

[J2] W. Liu, J. Sun, G. Wang*, F. Bullo, and J. Chen, “Data-driven Self-Triggered Control via Trajectory Prediction,” IEEE Transactions on Automatic Control, vol. 68, no. 11, pp. 6951 - 6958, November 2023.

[J3] W. Liu, J. Sun, G. Wang*, F. Bullo, and J. Chen, “Data-Driven Resilient Predictive Control under Denial-of-Service,” IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 4722–4737, August 2023. (高被引)

[J4] W. Liu, M. Wakaiki, J. Sun, G. Wang*, J. Chen, “Self-triggered resilient stabilization of linear systems with quantized outputs,” Automatica, vol. 153, p. 111006, July 2023.

[J5] H. Cao, G. Wang*, J. Sun, F. Deng, and J. Chen, “Deep Contrastive Principal Component Analysis Adaptive to Nonlinear Data,” IEEE Transactions on Signal Processing, vol. 70, pp. 5738-5750, December 2022.

[J6] W. Liu, J. Sun*, G. Wang, F. Bullo, and J. Chen, “Resilient Control under Quantization and Denial-of-Service,” IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 3879-3891, August 2022.

[J7] G. Wang*, “Finite-time Error Bounds of Biased Stochastic Approximation with Application to TD-learning,” IEEE Transactions on Signal Processing, vol. 70, pp. 950 - 962, March 2022.

[J8] 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.

[J9] 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.

[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. (高被引)

3. Selected Conference Papers

[C1] W. Zhang, G. Wang, J. Sun, Y. Yuan, and G. Huang, “STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning,” Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, December 10-16, 2023. (第一作者为本科生，CCF-A)

[C2] X. Wang, Y. Li, J. Sun, G. Wang, J. Chen, and L. Dou, “Data-driven Self-triggered Control for Linear Networked Control Systems,” IEEE Conference on Control and Decision, Singapore, December 13-15, 2023.

[C3] Y. Li, W. Liu, J. Sun, G. Wang, and J. Chen, “Distributed Event-triggered Consensus Control from Noisy Data Using Matrix Polytopes,” IEEE Conference on Control and Decision, Singapore, December 13-15, 2023.

[C4] W. Liu, Y. Li, J. Sun, G. Wang, and J. Chen, “Data-driven Self-triggering Mechanism for State Feedback Control,” IEEE Conference on Control and Decision, Singapore, December 13-15, 2023.

[C5] B. Tang, Y. Zhong, U. Neumann, G. Wang, S. Chen, and Y. Zhang, “Collaborative Uncertainty in Multi-Agent Trajectory Forecasting,” Neural Information Processing Systems (NeurIPS), virtual, December 7-10, 2021. (Acceptance rate: 26%)

[C6] 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%)

[C7] 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.

[C8] 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%)

[C9] 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. — Received the Best Student Paper Award

[C10] 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%)

授权国家发明专利

1. 王钢，曹宏杰，孙健，陈杰. 一种基于深度神经网络的对比主成分数据分析方法，202210288502.3

2. 王钢，李依霏，孙健，陈杰，王信.一种完全数据驱动的多智能体系统事件触发控制方法，202210386266.9

3. 王钢，翁博熙，孙健，陈杰.一种基于竞争机制的群体智能元学习方法，202210533337.3

4. 王钢，刘文婕，孙健，陈杰.一种针对未知系统的数据驱动自触发控制方法，202210547677.1

5. 王钢，刘文婕，孙健，陈杰.一种基于数据的系统自触发状态闭环控制方法，202210680785.6

6. 王钢，冯肇晗，肖伟，周子煜，翁博熙，孙健，陈杰.一种混合策略驱动的模型预测控制方法，202211296624.3

7. 王钢，李依霏，孙健，陈杰，王信.一种数据驱动的多智能体系统自触发跟踪控制方法，202211331357.9

8. 王钢，梅云鹏，孙健，曾宪琳，陈杰.一种基于单目RGB图像的螺栓姿态估计方法，202310019029.3

9. 王钢，周子煜，孙健，陈杰. Method and system for unmanned aerial vehicle (UAV) path planning and tracking control and electronic device，2023-05-24，英国，2307784.5

10. 王钢，曹宏杰，孙健，甘明刚，陈杰. Hybrid data and model-driven method for predicting remaining useful life of mechanical component, 2023-06-27，美国，US18/214,881

科研获奖

1. 2024年入选国家级领军人才，2020年入选国家级青年人才

2. 2023年入选全球前2%顶尖科学家榜单

3. 2023年获IEEE信号处理学会“最佳编委奖”

4. 2022年中国自动化学会自然科学一等奖

5. 2022年IEEE控制系统协会北京分会“青年作者奖”

6. 2021年中国工程院院刊《信息与电子工程前沿（英文版）》“最佳论文奖”

7. 2019年CAA“优秀博士学位论文奖”

8. 2019年IEEE国际电力与能源协会年会“最佳会议论文奖”

9. 2017年欧洲信号处理会议“最佳学生论文奖”

讲授课程

1. 研究生，最优化理论与方法、科技写作与沟通

2. 本科生，智能控制基础

教学成果

1. “照萤杯”智能无人系统应用挑战赛 特等奖（2023年）

2. 教育部中国国际“互联网+”大学生创新创业大赛 银奖（2020年）、铜奖（2023年）

3. 第12届MathorCup高校数学建模挑战赛研究生组一等奖（2022年）

4. 指导研究生获国家研究生奖学金4人次（2021-2023年）

5. 指导多名研究生获yl34511线路中心优秀博士学位、硕士学位论文奖、徐特立奖学金（全校学生最高奖）、国家奖学金

学术兼职

1. 《Signal Processing》编委，2019至今

2. 《IEEE/CAA Journal of Automatica Sinica》青年编委，2021至今

3. 《IEEE Transactions on Signal and Information Processing over Networks》编委，2021至今

4. 《IEEE Open Journal of Control Systems》编委，2023至今

5. 中国自动化学会具身智能专业委员会副主任委员，2024至今

6. 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

7. IEEE控制系统协会北京分会副主席

8. 中国指挥与控制学会青工委副总干事

9. 中国自动化学会控制理论专业委员会委员