default search action
Meng Wang 0003
Person information
- affiliation: Rensselaer Polytechnic Institute, Troy, NY, USA
- affiliation (PhD 2012): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Meng Wang — disambiguation page
- Meng Wang 0001
— Hefei University of Technology, China (and 4 more)
- Meng Wang 0002
- Meng Wang 0004
- Meng Wang 0005 — The Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Meng Wang 0006
- Meng Wang 0007
- Meng Wang 0008
- Meng Wang 0009
- Meng Wang 0010
- Meng Wang 0011
- Meng Wang 0012
- Meng Wang 0013
- Meng Wang 0014
- Meng Wang 0015
- Meng Wang 0016 — Zhejiang University, Hangzhou, China
- Meng Wang 0017
- Meng Wang 0018
- Meng Wang 0019
- Meng Wang 0020
- Meng Wang 0021
- Meng Wang 0022
- Meng Wang 0023
- Meng Wang 0024
- Meng Wang 0025
- Meng Wang 0026
- Meng Wang 0027
- Meng Wang 0028
- Meng Wang 0029
- Meng Wang 0030
- Meng Wang 0031
- Meng Wang 0032
- Meng Wang 0033
- Meng Wang 0034
- Meng Wang 0035
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c34]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: 6975-6979 - [c33]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. ICML 2024 - [c32]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. ICML 2024 - [c31]Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024 - [c30]Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen:
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. ICML 2024 - [c29]Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen:
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. SAM 2024: 1-5 - [i30]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 abs/2402.15607 (2024) - [i29]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 abs/2403.07310 (2024) - [i28]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 abs/2405.15920 (2024) - [i27]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 abs/2405.16646 (2024) - [i26]Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen:
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR abs/2406.01977 (2024) - [i25]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 abs/2406.17167 (2024) - [i24]Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. CoRR abs/2410.02167 (2024) - 2023
- [c28]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 - [c27]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR 2023 - [c26]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: 6074-6114 - [c25]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 - [i23]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 abs/2302.02922 (2023) - [i22]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR abs/2302.06015 (2023) - [i21]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. CoRR abs/2306.04073 (2023) - [i20]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 abs/2310.16173 (2023) - 2022
- [j17]Ehsan Hallaji
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. IEEE Trans. Inf. Forensics Secur. 17: 3934-3945 (2022) - [c24]Hongkang Li, Shuai Zhang, Meng Wang:
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS 2022: 37-42 - [c23]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 - [c22]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022: 13014-13051 - [i19]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 abs/2201.08514 (2022) - [i18]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR abs/2207.03584 (2022) - [i17]Hongkang Li, Shuai Zhang, Meng Wang:
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CoRR abs/2207.03615 (2022) - [i16]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. CoRR abs/2210.06729 (2022) - 2021
- [j16]Shuai Zhang, Meng Wang
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2622-2635 (2021) - [c21]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 - [c20]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: 2707-2720 - [i15]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 abs/2102.10454 (2021) - [i14]Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran:
Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach. CoRR abs/2103.15047 (2021) - [i13]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 abs/2110.05667 (2021) - 2020
- [j15]Ren Wang, Meng Wang, Jinjun Xiong
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. 2020(1): 22 (2020) - [j14]Ren Wang, Meng Wang, Jinjun Xiong
Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. 2020(1): 41 (2020) - [j13]Stavros Konstantinopoulos
Synchrophasor Missing Data Recovery via Data-Driven Filtering. IEEE Trans. Smart Grid 11(5): 4321-4330 (2020) - [c19]Ren Wang, Meng Wang, Jinjun Xiong
Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC 2020: 923-928 - [c18]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS 2020: 1-6 - [c17]Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) 2020: 222-238 - [c16]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: 11268-11277 - [i12]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 abs/2006.14117 (2020) - [i11]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 abs/2007.15802 (2020)
2010 – 2019
- 2019
- [j12]Shuai Zhang, Meng Wang
Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Trans. Signal Process. 67(10): 2580-2594 (2019) - [i10]Ren Wang, Meng Wang, Jinjun Xiong:
Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR abs/1912.02588 (2019) - 2018
- [j11]Shuai Zhang, Yingshuai Hao
Multichannel Hankel Matrix Completion Through Nonconvex Optimization. IEEE J. Sel. Top. Signal Process. 12(4): 617-632 (2018) - [j10]Ren Wang
Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. 12(6): 1547-1560 (2018) - [j9]Yingshuai Hao
Likelihood Analysis of Cyber Data Attacks to Power Systems With Markov Decision Processes. IEEE Trans. Smart Grid 9(4): 3191-3202 (2018) - [j8]Pengzhi Gao, Ren Wang
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66(11): 2918-2932 (2018) - [c15]Pengzhi Gao, Meng Wang:
Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP 2018: 4089-4093 - [c14]Shuai Zhang, Meng Wang:
Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure. ISIT 2018: 646-650 - 2017
- [j7]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): 5421-5436 (2017) - [c13]Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow:
Multi-Channel missing data recovery by exploiting the low-rank hankel structures. CAMSAP 2017: 1-5 - 2016
- [j6]Pengzhi Gao, Meng Wang
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. 64(21): 5557-5570 (2016) - [c12]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: 374-378 - [i9]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 abs/1607.04776 (2016) - 2015
- [j5]Meng Wang
Sparse Recovery With Graph Constraints. IEEE Trans. Inf. Theory 61(2): 1028-1044 (2015) - [c11]Yingshuai Hao, Meng Wang, Joe H. Chow:
Likelihood of cyber data injection attacks to power systems. GlobalSIP 2015: 657-661 - [c10]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Matrix completion with columns in union and sums of subspaces. GlobalSIP 2015: 785-789 - [c9]Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, 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: 2637-2644 - [i8]Yingshuai Hao, Meng Wang, Joe H. Chow:
Likelihood of Cyber Data Injection Attacks to Power Systems. CoRR abs/1512.05008 (2015) - 2014
- [c8]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: 830-835 - 2013
- [j4]Weiyu Xu, Meng Wang, Jian-Feng Cai
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks. IEEE Trans. Signal Process. 61(24): 6175-6187 (2013) - [c7]Meng Wang, Weiyu Xu, A. Robert Calderbank:
Compressed sensing with corrupted participants. ICASSP 2013: 4653-4657 - 2012
- [c6]Meng Wang, Weiyu Xu, Enrique Mallada
Sparse recovery with graph constraints: Fundamental limits and measurement construction. INFOCOM 2012: 1871-1879 - [i7]Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang:
Sparse Recovery with Graph Constraints. CoRR abs/1207.2829 (2012) - 2011
- [j3]Meng Wang, Weiyu Xu, Ao Tang:
On the Performance of Sparse Recovery Via lp-Minimization (0 <= p <= 1). IEEE Trans. Inf. Theory 57(11): 7255-7278 (2011) - [j2]Meng Wang, Chee Wei Tan
Cost of Not Splitting in Routing: Characterization and Estimation. IEEE/ACM Trans. Netw. 19(6): 1849-1859 (2011) - [j1]Meng Wang, Weiyu Xu, Ao Tang:
A Unique "Nonnegative" Solution to an Underdetermined System: From Vectors to Matrices. IEEE Trans. Signal Process. 59(3): 1007-1016 (2011) - [c5]Weiyu Xu, Meng Wang, Enrique Mallada
Recent results on sparse recovery over graphs. ACSCC 2011: 413-417 - [c4]Weiyu Xu, Meng Wang, Ao Tang:
On state estimation with bad data detection. CDC/ECC 2011: 5989-5994 - [i6]Weiyu Xu, Meng Wang, Ao Tang:
On State Estimation with Bad Data Detection. CoRR abs/1105.0442 (2011) - [i5]Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang:
Sparse Recovery with Graph Constraints: Fundamental Limits and Measurement Construction. CoRR abs/1108.0443 (2011) - [i4]Weiyu Xu, Meng Wang, Ao Tang:
Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks. CoRR abs/1112.6234 (2011) - 2010
- [c3]Meng Wang, Weiyu Xu, Ao Tang:
The limits of error correction with lp decoding. ISIT 2010: 749-753 - [i3]Meng Wang, Weiyu Xu, Ao Tang:
A Unique "Nonnegative" Solution to an Underdetermined System: from Vectors to Matrices. CoRR abs/1003.4778 (2010) - [i2]Meng Wang, Weiyu Xu, Ao Tang:
The Limits of Error Correction with lp Decoding. CoRR abs/1006.0277 (2010) - [i1]Meng Wang, Weiyu Xu, Ao Tang:
On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1). CoRR abs/1011.5936 (2010)
2000 – 2009
- 2009
- [c2]Meng Wang, Ao Tang:
Conditions for a unique non-negative solution to an underdetermined system. Allerton 2009: 301-307 - [c1]Meng Wang, Chee Wei Tan
How Bad is Single-Path Routing. GLOBECOM 2009: 1-6
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-20 20:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: