Meng Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 46

Top Topics

Sample Complexity

Top Venues

IEEE Trans. Signal Process.

Publications

Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. CoRR (2024)
Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR (2024)
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR (2024)
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR (2024)
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR (2024)
Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP (2024)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR (2023)
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML (2023)
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR (2023)
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS (2023)
Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML (2022)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR (2022)
Hongkang Li, Shuai Zhang, Meng Wang
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS (2022)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR (2022)
Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR (2021)
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR (2021)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR (2021)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS (2021)
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) (2020)
Stavros Konstantinopoulos, Genevieve M. De Mijolla, Joe H. Chow, Hanoch Lev-Ari, Meng Wang
Synchrophasor Missing Data Recovery via Data-Driven Filtering. IEEE Trans. Smart Grid 11 (5) (2020)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS (2020)
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. CoRR (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. ICML (2020)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. CoRR (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR (2019)
Shuai Zhang, Meng Wang
Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Trans. Signal Process. 67 (10) (2019)
Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow
Multichannel Hankel Matrix Completion Through Nonconvex Optimization. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Yingshuai Hao, Meng Wang, Joe H. Chow
Likelihood Analysis of Cyber Data Attacks to Power Systems With Markov Decision Processes. IEEE Trans. Smart Grid 9 (4) (2018)
Ren Wang, Meng Wang, Jinjun Xiong
Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Shuai Zhang, Meng Wang
Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure. ISIT (2018)
Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66 (11) (2018)
Pengzhi Gao, Meng Wang
Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP (2018)
Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. 65 (20) (2017)
Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow
Multi-Channel missing data recovery by exploiting the low-rank hankel structures. CAMSAP (2017)
Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. CoRR (2016)
Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. 64 (21) (2016)
Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC (2016)
Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopolous, Yutaka Kokai, Nao Saito, Michael P. Razanousky
A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data. HICSS (2015)
Yingshuai Hao, Meng Wang, Joe H. Chow
Likelihood of cyber data injection attacks to power systems. GlobalSIP (2015)
Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
Matrix completion with columns in union and sums of subspaces. GlobalSIP (2015)
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
Sparse Recovery With Graph Constraints. IEEE Trans. Inf. Theory 61 (2) (2015)
Yingshuai Hao, Meng Wang, Joe H. Chow
Likelihood of Cyber Data Injection Attacks to Power Systems. CoRR (2015)
Meng Wang, Pengzhi Gao, Scott G. Ghiocel, Joe H. Chow, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of "unobservable" cyber data attacks on power grids. SmartGridComm (2014)
Meng Wang, Weiyu Xu, A. Robert Calderbank
Compressed sensing with corrupted participants. ICASSP (2013)
Weiyu Xu, Meng Wang, Jian-Feng Cai, Ao Tang
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks. IEEE Trans. Signal Process. 61 (24) (2013)
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
Sparse Recovery with Graph Constraints CoRR (2012)
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
Sparse recovery with graph constraints: Fundamental limits and measurement construction. INFOCOM (2012)
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
Sparse Recovery with Graph Constraints: Fundamental Limits and Measurement Construction CoRR (2011)
Weiyu Xu, Meng Wang, Ao Tang
On state estimation with bad data detection. CDC/ECC (2011)
Weiyu Xu, Meng Wang, Ao Tang
On State Estimation with Bad Data Detection CoRR (2011)
Weiyu Xu, Meng Wang, Enrique Mallada, Ao Tang
Recent results on sparse recovery over graphs. ACSCC (2011)
Weiyu Xu, Meng Wang, Ao Tang
Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks CoRR (2011)
Meng Wang, Weiyu Xu, Ao Tang
-Minimization (0 <= p <= 1). IEEE Trans. Inf. Theory 57 (11) (2011)
Meng Wang, Weiyu Xu, Ao Tang
A Unique "Nonnegative" Solution to an Underdetermined System: From Vectors to Matrices. IEEE Trans. Signal Process. 59 (3) (2011)
Meng Wang, Chee Wei Tan, Weiyu Xu, Ao Tang
Cost of Not Splitting in Routing: Characterization and Estimation. IEEE/ACM Trans. Netw. 19 (6) (2011)
Meng Wang, Weiyu Xu, Ao Tang
The Limits of Error Correction with lp Decoding CoRR (2010)
Meng Wang, Weiyu Xu, Ao Tang
A Unique "Nonnegative" Solution to an Underdetermined System: from Vectors to Matrices CoRR (2010)
Meng Wang, Weiyu Xu, Ao Tang
On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1) CoRR (2010)
Meng Wang, Weiyu Xu, Ao Tang
The limits of error correction with lp decoding. ISIT (2010)
Meng Wang, Ao Tang
Conditions for a unique non-negative solution to an underdetermined system. Allerton (2009)
Meng Wang, Chee Wei Tan, Ao Tang, Steven H. Low
How Bad is Single-Path Routing. GLOBECOM (2009)