Meng Wang

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

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: Dr. MD Kamruzzamant joins our group as a postdoc. Welcome, MD!  

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 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 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 Grids" 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!  

October 2019: I received the 2020 Air Force Office for Scientific Research (AFOSR) Young Investigator Program (YIP) award.  

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 on 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 to IEEE Transactions on Power Systems. Congrats to Yingshuai!

April 2018: I received 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!