Meng Wang
Orcid: 0000-0003-0928-9691Affiliations:
- Rensselaer Polytechnic Institute, Troy, NY, USA
- Cornell University, Ithaca, NY, USA (PhD 2012)
According to our database1,
Meng Wang
authored at least 52 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance.
CoRR, 2024
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis.
CoRR, 2024
2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems.
IEEE Trans. Inf. Forensics Secur., 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
CoRR, 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
Proceedings of the International Conference on Machine Learning, 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022
2021
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case.
IEEE Trans. Neural Networks Learn. Syst., 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks.
CoRR, 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
IEEE Trans. Smart Grid, 2020
EURASIP J. Adv. Signal Process., 2020
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery.
EURASIP J. Adv. Signal Process., 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
2018
IEEE Trans. Signal Process., 2018
Likelihood Analysis of Cyber Data Attacks to Power Systems With Markov Decision Processes.
IEEE Trans. Smart Grid, 2018
IEEE J. Sel. Top. Signal Process., 2018
IEEE J. Sel. Top. Signal Process., 2018
Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures.
IEEE Trans. Signal Process., 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition.
IEEE Trans. Signal Process., 2016
Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
2013
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks.
IEEE Trans. Signal Process., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Sparse recovery with graph constraints: Fundamental limits and measurement construction.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
2011
A Unique "Nonnegative" Solution to an Underdetermined System: From Vectors to Matrices.
IEEE Trans. Signal Process., 2011
IEEE/ACM Trans. Netw., 2011
IEEE Trans. Inf. Theory, 2011
Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks
CoRR, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
2009
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009