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教师队伍

模式识别与智能系统研究所

姓      名: 王钢 性别: 出生年月: 1988.6
职      称: 教授、博导 职务: 最高学历: 工学博士
学科方向: 模式识别与智能系统
人才计划: 办公地点: 国防科技园6号楼812
电子邮件: gangwang@bit.edu.cn 办公电话: 010-68917912
通讯地址: 北京市海淀区西三环北路甲2号院(中关村国防科技园)6号楼812

教育与工作经历

2007.09-2011.07 北京理工大学 电气工程及其自动化 工学学士
2011.09-2018.03 北京理工大学 控制科学与工程 工学博士
2015.02-2018.04 美国明尼苏达大学双城分校 电气工程 哲学博士
2018.05-2020.07美国明尼苏达大学双城分校 电气工程 博士后
2020.08至今 教授、博导

 

研究方向

分布式优化与控制
多智能体强化学习
信息物理系统安全
欢迎对我们的研究工作感兴趣的博士后、博士生、硕士生和本科生(申请者)与我邮件联系。

近5年承担的科研项目

代表性学术论文

 

代表性学术论文


M. Xiong, Q. Liu*, G. Wang, G. B. Giannakis, S. Zhang, J. Zhu, and C. Huang, “Resonant Beam Communications with Echo Interference Elimination,” IEEE Internet of Things Journal, to appear 2020. DOI:10.1109/JIOT.2020.3020908
G. Wu, G. Wang*, J. Sun, and L. Xiong “Optimal Switching Data Injection Attacks and Countermeasures in Cyber-Physical Systems,” IEEE Trans. Systems, Man, and Cybernetics: Systems, pp. 1-10, to appear 2019. DOI: 10.1109/TSMC.2019.2945067
G. Wu, H. Xiong*, G. Wang, and J. Sun, “Linear Quadratic Regulator of Discrete-time Switched Linear Systems,” IEEE Transactions on Circuits and Systems–II: Express Briefs, to appear 2020. DOI: 10.1109/TCSII.2020.2973302 
G. Wu, G. Wang, J. Sun*, and J. Chen, “Optimal Partial Feedback Attacks in Cyber-Physical Power Systems,” IEEE Transactions on Automatic Control, vol. 65, no. 9, pp. 3919-3926, September 2020.
Q. Yang, G. Wang, A. Sadeghi, G. B. Giannakis, and J. Sun*, “Two-Timescale Voltage Control in Distribution Grids using Deep Reinforcement Learning,” IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2313-2323, May 2020.
M. Liu, G. Wang, G. B. Giannakis, M. Xiong, and Q. Liu*, “Wireless Power Transmitter Deployment Balancing Fairness and Charging Service Quality,” IEEE Internet of Things Journal, vol. 7, no. 3, pp. 2223-2234, March 2019.
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.
A. Sadeghi, G. Wang*, and G. B. Giannakis, “Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks,” IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 4, pp. 1024-1033, 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.
M. Xiong, Q. Liu*, G. Wang, G. B. Giannakis, and C. Huang, “Resonant Beam Communications: Principles and Designs,” IEEE Communications Magazine, vol. 57, no. 10, pp. 34-39, October 2019.
Q. Zhang, G. Wang, J. Chen, G. B. Giannakis, and Q. Liu*, “Mobile Energy Transfer in Internet of Things,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 9012-9019, October 2019.
L. Zhang, G. Wang*, and G. B. Giannakis, “Real-time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks,” IEEE Trans. on Signal Processing, vol. 67, no. 15, pp. 4069-4077, August 2019.
J. Chen, G. Wang*, and G. B. Giannakis, “Graph Multiview Canonical Correlation Analysis,” IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 2826-2838, June 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.
J. Chen, G. Wang, and G. B. Giannakis*, “Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,” IEEE Transactions on Signal Processing, vol. 67, no. 3, pp. 740-752, February 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. 
L. Zhang, G. Wang, G. B. Giannakis*, and J. Chen, “Compressive Phase Retrieval via Reweighted Amplitude Flow,” IEEE Transactions on Signal Processing, vol. 66, no. 19, pp. 5029-5040, September 2018.
J. Chen, G. Wang*, Y. Shen, and G. B. Giannakis, “Canonical Correlation Analysis of Datasets with a Common Source Graph,” IEEE Transactions on Signal Processing, vol. 66, no. 16, pp. 4398-4408, August 2018.
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*, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, “Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound,” IEEE Transactions on Signal Processing, vol. 66, no. 6, pp. 1649-1658, March 2018.
G. Wang*, G. B. Giannakis, and Y. 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. (ESI高被引论文)
G. Wang, L. Zhang, G. B. Giannakis*, M. Akcakaya, and J. Chen, “Sparse Phase Retrieval via Truncated Amplitude Flow,” IEEE Transactions on Signal Processing, vol. 66, no. 2, pp. 479-491, January 2018.
L. Zhang, G. Wang, D. Romero, and G. B. Giannakis*, “Randomized Block Frank-Wolfe for Convergent Large- Scale Learning,” IEEE Transactions on Signal Processing, vol. 65, no. 24, pp. 6448-6461, December 2017.
G. Wang, G. B. Giannakis*, and J. Chen, “Scalable Solvers of Random Quadratic Equations via Stochastic Truncated Amplitude Flow,” IEEE Trans. on Signal Processing, vol. 65, no. 5, pp. 1961–1974, March 2017.
G. Wang*, V. Kekatos, A. J. Conejo, and G. B. Giannakis, “Ergodic Energy Management Leveraging Resource Variability in Distribution Grids,” IEEE Trans. on Power Systems, vol. 31, no. 6, pp. 4765-4775, Nov. 2016.
J. Chen, G. Wang, and J. Sun*, “Power Scheduling for Kalman Filtering over LossyWireless Sensor Networks,” IET on Control Theory & Applications, vol. 11, no. 4, pp. 531-540, February 2016.
V. Kekatos*, G. Wang, A. J. Conejo, and G. B. Giannakis, “Stochastic Reactive Power Management in Microgrids with Renewables,” IEEE Trans. on Power Systems, vol. 30, no. 6, pp. 3386-3395, November 2015.
G. Wang, J. Chen, and J. Sun*, “Stochastic Stability of Extended Filtering for Nonlinear Systems with Measurement Packet Losses,” IET Control Theory & Applications, vol. 7, no. 17, pp. 2048-2055, Nov. 2013.

 

部分会议论文

 

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.
J. Sun, G. Wang, G. B. Giannakis, Q. Yang, and Z. Yang, “Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation,” Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), Palermo, Sicily, Italy, June 3-5, 2020.
A. Sadeghi, G. Wang, and G. B. Giannakis, “Hierarchical Caching via Deep Reinforcement Learning,” Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-9, 2020.
Q. Yang, M. Coutino, G. Wang, G. B. Giannakis, and G. Leus, “Learning Connectivity and High-Order Interactions Radial Distribution Grids,” Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-9, 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.
— Selected as one of the Best Conference Papers
L. Zhang, G. Wang, and G. B. Giannakis, “Distribution System State Estimation Using Data- and Physics-Driven Deep Neural Networks,” IEEE Data Science Workshop (DSW), Minneapolis, MN, June 2-5, 2019.
J. Chen, G. Wang, and G. B. Giannakis, “Multiview Canonical Correlation Analysis over Graphs,” Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019.
L. Zhang, G. Wang, and G. B. Giannakis, “Real-time Power System State Estimation via Deep Unrolled Neural Networks,” Globalsip, Anaheim, CA, USA, Nov. 26-28, 2018.  
J. Chen, G. Wang, Y. Shen, and G. B. Giannakis, “Canonical Correlation Analysis with Common Graph Priors,” IEEE Statistical Signal Process. Wksp., Freiburg, Germany, June 10-13, 2018.
G. Wang, J. Chen, and G. B. Giannakis, “DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets,” Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 15-20, 2018.
L. Zhang, G. Wang, and G. B. Giannakis, “Going Beyond Linear Dependencies to Unveil Connectivity of Meshed Grids,” IEEE Wksp. on Comput. Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, December 10-13, 2017.
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.
— Received the Best Student Paper Award
G. Wang, G. Giannakis, J. Chen, and M. Akcakaya, “SPARTA: Sparse Phase Retrieval via Truncated Amplitude Flow,” Intl. Conf. on Acoustics, Speech, and Signal Process. (ICASSP), New Orleans, LA, Mar. 5-9, 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%)
B. Yang, G. Wang, and N. D. Sidiropoulos, “Tensor completion via group-sparse regularization,” Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, November 6-9, 2016.
G. Wang, V. Kekatos, and G. B. Giannakis, “Stochastic Energy Management in Distribution Grids,” IEEE Intl. Conf. on Acoustics, Speech, and Signal Process. (ICASSP), Shanghai, China, March 20-25, 2016.
D. K. Berberidis, G. Wang, V. Kekatos, and G. B. Giannakis, “Adaptive Censoring for Large-Scale Regressions,” Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, November 2-5, 2014.

 

专著章节

 

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, to appear October 2020.
V. Kekatos, G. Wang, H. Zhu, and G. B. Giannakis, PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches. Chapter 6 in Advances in Power System State Estimation, M. El-Hawary Editor, December 2019.

授权国家发明专利及出版专著

专著

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、出版教材及教学成果

讲授课程

出版教材

教学成果

学术兼职

IEEE Member
SCI期刊Signal Processing副主编
美国数学学会《数学评论》评论员、多个国际会议(包括NeurIPS、ICML、AAAI、ICLR、COLT、ICASSP等)程序委员会委员,以及优化、控制、信号处理和能源等国际主流期刊(包括IEEE TIT、TSP、TAC、TCNS、TPS、TSG、TSE、TCCN、TSIPN、TASE、TNNLS、TON、TSMC、TEC、IoTJ、JSTSP、CSL、PEL、JAS等)审稿人