Meng Wang

Associate Professor
Department of Electrical, Computer & Systems Engineering
Rensselaer Polytechnic Institute

Email:
Phone: 518.276.3842 Fax: 518-276-6261
ECSE Department, JEC 6024
Rensselaer Polytechnic Institute Troy, NY, 12180

Home   Research   Publications   Teaching   Group 


I am currently an Associate Professor with the Department of Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI), where I joined in December 2012. I obtained my Ph.D. in the School of Electrical and Computer Engineering at Cornell University in August 2012. I received the B.E. degree (with honors) and the M.S. degree (with honors) in Electrical Engineering from Tsinghua University, China, in 2005 and 2007 respectively. Prior to joining RPI, I was a postdoc research scholar at Duke University from August 2012 to December 2012. My research areas include machine learning and data analytics, energy systems, signal processing, and optimization. I am a recipient of the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award in 2019 and the Army Research Office (ARO) Young Investigator Program (YIP) Award in 2017. At Rensselaer, I received the James M. Tien '66 Early Career Award and Grant for Faculty in 2022 and School of Engineering Research Excellence Award in 2018. Please see my CV if you want to know more about me.

Openings

    Postdoc/visitor position: I am looking to host postdocs/visitors with background in machine learning, signal processing, and optimization. Please contact me along with your CV if you are interested.  
    Prospective graduate students: I am looking for highly motivated Ph.D. students with interests in machine learning to join my research group. If interested, please apply and mention my name in your application.  

Recent News

    Feb 2024: Hongkang's paper on the theoretical study of group imbalance is accepted to the IEEE Journal of Selected Topics in Signal Processing. Congrats!  

    Oct 2023: Hongkang receives RPI's Founders Award of Excellence. Congrats!  

    Oct 2023: Shuai and Hongkang's paper on the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration is accepted to the Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Congrats!  

    May 2023: Shuai will join New Jersey Institute of Technology as an Assistant Professor in Fall 2023. Best wishes on your new journey!  

    Apirl 2023: Nowaz's paper on sample efficiency of the mixture of experts is accepted as an oral presentation in the International Conference on Machine Learning (ICML) 2023. Congrats, Nowaz! A great start.  

    Apirl 2023: Ming won the Charles M. Close '62 Doctoral Prize from RPI ECSE for his outstanding work as a researcher and teacher and for showing promise of a distinguished academic or research career. Congratulations, Ming!  

    March 2023: Ming's paper on Bayesian High-Rank Hankel Matrix Completion for Nonlinear Synchrophasor Data Recovery is accepted to IEEE Transactions on Power Systems. Congratulations, Ming!  

    January 2023: Shuai's paper on Joint Sparse Learning for Graph Neural Networks and Hongkang's paper on the Theoretical Explanation of Vision Transformers are both accepted to the International Conference on Learning Representations (ICLR) 2023. Congratulations, Shuai and Hongkang!  

    December 2022: Hongkang won the 2022 Belsky Award for Computational Sciences and Engineering. Congratulations, Hongkang!  

    November 2022: Ming successfully defended his thesis. Congratulations, Dr. Ming Yi!  

    October 2022: Ming received Rensselaer's Founders Award of Excellence. Congratulations to Ming!  

    May 2022: I received the James M. Tien '66 Early Career Award and Grant for Faculty from Rensselaer.  

    May 2022: Hongkang's paper "Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling" is accepted to International Conference on Machine Learning (ICML) 2022. Congrats, Hongkang! A great start.  

    January 2022: Ming's paper "Bayesian Robust Hankel Matrix Completion with Uncertainty Modeling for Synchrophasor Data Recovery" has been accepted to ACM SIGEnergy Energy Informatics Review (EIR). Congrats, Ming!  

    January 2022: Shuai's paper "How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis" is accepted to the 10th International Conference on Learning Representations (ICLR) 2022. Congrats, Shuai!  

    September 2021: Shuai's paper "Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks" is accepted to the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021. Congrats, Shuai!  

    May 2021: Shuai Zhang won the Allen B. DuMont Prize from ECSE at RPI because his scholastic ability and contribution to the field. Congrats, Shuai!  
    January 2021: Ren's paper is accepted to the International Conference on Learning Representations (ICLR), 2021.  
    October 2020: Wenting and Ming's equally contributed paper "Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation" is accepted to IEEE Transactions on Power Systems. A great start for Ming.  
    August 2020: Ren's paper "Tensor Recovery from Noisy and Multi-Level Quantized Measurements" is accepted to EURASIP Journal on Advances in Signal Processing.  
    July 2020: Ren Wang successfully defended his thesis and will join the University of Michigan as a Postdoc. Congratulations, Dr. Wang!  
    June 2020: Ren's paper "Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases" is accepted to European Conference on Computer Vision (ECCV) 2020.  
    June 2020: Shuai's paper "Improved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-hidden-layer Case" is accepted to IEEE Transactions on Neural Networks and Learning Systems. Congrats, Shuai!  
    June 2020: Shuai Zhang's paper "Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case" is accepted to International Conference on Machine Learning (ICML) 2020.  
    May 2020: I am appointed as an Associate Editor of IEEE Transactions on Smart Grid.  
    April 2020: Ren Wang's paper "Achieve Data Privacy and Clustering Accuracy Simultaneously Through Quantized Data Recovery" is accepted to EURASIP Journal on Advances in Signal Processing.  
    Feb 2020: Paper "Synchrophasor Missing Data Recovery via Data-Driven Filtering" accepted to IEEE Transactions on Smart Grid.  
    December 2019: Wenting successfully defended her thesis and will join Los Alamos National Lab as a Postdoc Associate. Congratulations, Dr. Li!  
    September 2019: Shuai received Rensselaer's Founders Award of Excellence. Congratulations to Shuai!  
    September 2019: Ren received Rensselaer's Founders Award of Excellence. Congratulations to Ren!  
    August 2019: Yingshuai's paper "Modeless Streaming Synchrophasor Data Recovery in Nonlinear Systems" is accepted to IEEE Transactions on Power Systems. Congrats to Yingshuai!  
    August 2019: Hongkang Li and Orlem Lima Dos Santos joined our group. Welcome!  
    July 2019: Paper with Yang Cao, Andrew Thompson and Yao Xie is accepted to EURASIP Journal on Advances in Signal Processing.  
    May 2019: Wenting's paper "Real-time Line Outage Localization and PMU Placement in Power Systems through Convolutional Neural Networks" is accepted to IEEE Transactions on Power Systems. Congrats to Wenting!  
    April 2019: Our paper "Identifying Overlapping Successive Events Using a Shallow Convolutional Neural Network" is accepted to IEEE Transactions on Power Systems. Congrats to Wenting!  
    April 2019: Ren Wang is selected as one of IBM/RPI AI Horizons Scholars. Congrats to Ren!  
    February 2019: Our paper "Correction of Corrupted Columns in Robust Matrix Completion by Exploiting the Hankel Structure" is accepted to IEEE Transactions on Signal Processing. Congrats to Shuai!  
    December 2018: Ren's paper is published in IEEE JSTSP-Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. One figure is selected to print on the cover page of the issue.  
    November 2018: Yingshuai successfully defended his Ph.D. thesis. He will join Petuum, Inc as a senior software engineer. Congrats, Dr. Hao!  
    September 2018: Wenting Li won Rensselaer's Founders Award of Excellence. Congratulations to Wenting!  
    August 2018: Our paper "Data Recovery and Subspace Clustering from Quantized and Corrupted Measurements" is accepted to IEEE Journal of Selected Topics in Signal Processing, Special Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. Congrats to Ren!
    June 2018: Our paper "Model-less Data Quality Improvement of Streaming Synchrophasor Measurements by Exploiting the Low-Rank Hankel Structure" is accepted by IEEE Transactions on Power Systems. Congrats to Yingshuai!
    April 2018: I received the Rensselaer School of Engineering Research Excellence Award.
    March 2018: Our paper "Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure" is accepted to IEEE International Symposium on Information Theory (ISIT) 2018. Congrats to Shuai!
    March 2018: Our paper "Low-rank Matrix Recovery from Noisy, Quantized and Erroneous Measurements" is accepted to IEEE Trans. Signal Processing. Congrats to Pengzhi and Ren!  
    March 2018: Our paper "Multi-Channel Hankel Matrix Completion through Nonconvex Optimization" is accepted to the IEEE Journal of Selected Topics in Signal Processing. Congrats to Shuai and Yingshuai!    
    January 2018: Our paper "Real-time Event Identification through Low-dimensional Subspace Characterization of High-dimensional Synchrophasor Data" is accepted to IEEE Trans. Power Systems. Congrats to Wenting!  
    January 2018: Paper with Junbo Zhao and Lamine Mili has been accepted to IEEE Trans. Power Systems.  
    December 2017: Pengzhi Gao successfully defended his Ph.D. thesis and will be a data scientist at Petuum. Congrats, Dr. Gao!  
    September 2017: Yingshuai Hao won Rensselaer's Founders Award of Excellence. Congratulations to Yingshuai!  
    September 2017: Our paper "Multi-Channel Missing Data Recovery by Exploiting the Low-rank Hankel Structures" is accepted to IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017. Congrats to Shuai and Yingshuai!  
    June 2017: Our paper "Missing Data Recovery for High-dimensional Signals with Nonlinear Low-dimensional Structures" is accepted to IEEE Transactions on Signal Processing. Congrats to Pengzhi!  
    March 2017: Our paper "Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures" is accepted to IREP2017 - 10th Bulk Power Systems Dynamics and Control Symposium.  
    January 2017: Our paper "Fast Event Identification through Subspace Characterization of PMU Data in Power Systems" is accepted to IEEE Power & Energy Society General Meeting 2017. Congrats to Wenting!  
    November 2016: Our paper "Low-rank Matrix Recovery from Quantized and Erroneous Measurements: Accuracy-preserved Data Privatization in Power Grids" is presented at Asilomar Conference on Signals, Systems, and Computers 2016. Nice job, Pengzhi and Ren.  
    November 2016: Our paper "Likelihood Analysis of Cyber Data Attacks to Power Systems with Markov Decision Processes" has been accepted to IEEE Transactions on Smart Grid. Congrats to Yingshuai!  
    August 2016: Ren Wang and Shuai Zhang joined our group. Welcome!  
    July 2016: Our paper "Identification of Successive Unobservable Cyber Data Attacks in Power Systems" is accepted to IEEE Transactions on Signal Processing. Congrats to Pengzhi!  
    June 2016: Sean Bayman successfully finished the requirements for the MS degree and will be a software engineering at Boeing. Congrats to Sean!  
    September 2015: Pengzhi Gao won Rensselaer's Founders Award of Excellence. Congratulations to Pengzhi!  
    August 2015: Wenting Li joined our group. Welcome!  
    August 2015: Three papers accepted to IEEE GlobalSIP 2015. Congratulations to Pengzhi and Yingshuai.  
    June-July 2015: I visited Air Force Research Laboratory, Information Directorate, on Visiting Faculty Research Program.  
    March 2015: Pengzhi's paper was accepted to IEEE Transactions on Power Systems. Congrats!