Meng Wang - RankMe

87 papers A* 15B 3Misc 7Journal 52Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees. CoRR Mohammed Nowaz Rabbani Chowdhury, Hsinyu Tsai, Geoffrey W. Burr, Kaoutar El Maghraoui, Liu Liu, Meng Wang
2025	J	`jnl`	Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System. IEEE Comput. Archit. Lett. Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang
2025	J	`jnl`	Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System. CoRR Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang
2025	J	`jnl`	Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis. CoRR Hongkang Li, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Meng Wang
2025	A*	`conf`	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. ICLR Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang
2025	J	`jnl`	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. CoRR Hongkang Li, Yihua Zhang, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024	A*	`conf`	A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. ICML Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
2024	J	`jnl`	A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. CoRR Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
2024	A*	`conf`	How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	J	`jnl`	How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024	—	`conf`	Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. SAM Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024	J	`jnl`	Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024	A*	`conf`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. ICML Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	J	`jnl`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	J	`jnl`	Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. CoRR Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	J	`jnl`	Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	Misc	`conf`	Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
2024	A*	`conf`	What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. ICML Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2024	J	`jnl`	What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2023	A*	`conf`	A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
2023	J	`jnl`	A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
2023	A*	`conf`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	J	`jnl`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	A*	`conf`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	A*	`conf`	Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2023	J	`jnl`	Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2022	J	`jnl`	A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. CoRR Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
2022	J	`jnl`	A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. IEEE Trans. Inf. Forensics Secur. Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
2022	A*	`conf`	Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	J	`jnl`	Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	J	`jnl`	How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	A*	`conf`	How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	Misc	`conf`	Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS Hongkang Li, Shuai Zhang, Meng Wang
2022	J	`jnl`	Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CoRR Hongkang Li, Shuai Zhang, Meng Wang
2021	J	`jnl`	Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach. CoRR Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran
2021	J	`jnl`	Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen
2021	A*	`conf`	On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021	J	`jnl`	On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021	J	`jnl`	Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2021	A*	`conf`	Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	J	`jnl`	Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2020	A*	`conf`	Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. ICML Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	J	`jnl`	Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	Misc	`conf`	Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	—	`conf`	Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020	J	`jnl`	Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. CoRR Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020	Misc	`conf`	Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC Ren Wang, Meng Wang, Jinjun Xiong
2020	J	`jnl`	Synchrophasor Missing Data Recovery via Data-Driven Filtering. IEEE Trans. Smart Grid Stavros Konstantinopoulos, Genevieve M. De Mijolla, Joe H. Chow, Hanoch Lev-Ari, Meng Wang
2020	J	`jnl`	Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2019	J	`jnl`	Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Trans. Signal Process. Shuai Zhang, Meng Wang
2019	J	`jnl`	Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR Ren Wang, Meng Wang, Jinjun Xiong
2018	B	`conf`	Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure. ISIT Shuai Zhang, Meng Wang
2018	J	`jnl`	Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2018	Misc	`conf`	Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP Pengzhi Gao, Meng Wang
2018	J	`jnl`	Likelihood Analysis of Cyber Data Attacks to Power Systems With Markov Decision Processes. IEEE Trans. Smart Grid Yingshuai Hao, Meng Wang, Joe H. Chow
2018	J	`jnl`	Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
2018	J	`jnl`	Multichannel Hankel Matrix Completion Through Nonconvex Optimization. IEEE J. Sel. Top. Signal Process. Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow
2017	J	`jnl`	Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2017	—	`conf`	Multi-Channel missing data recovery by exploiting the low-rank hankel structures. CAMSAP Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow
2016	J	`jnl`	Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. CoRR Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
2016	J	`jnl`	Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
2016	Misc	`conf`	Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
2015	—	`conf`	A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data. HICSS 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
2015	J	`jnl`	Likelihood of Cyber Data Injection Attacks to Power Systems. CoRR Yingshuai Hao, Meng Wang, Joe H. Chow
2015	—	`conf`	Likelihood of cyber data injection attacks to power systems. GlobalSIP Yingshuai Hao, Meng Wang, Joe H. Chow
2015	—	`conf`	Matrix completion with columns in union and sums of subspaces. GlobalSIP Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2015	J	`jnl`	Sparse Recovery With Graph Constraints. IEEE Trans. Inf. Theory Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
2014	—	`conf`	Identification of "unobservable" cyber data attacks on power grids. SmartGridComm Meng Wang, Pengzhi Gao, Scott G. Ghiocel, Joe H. Chow, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
2013	Misc	`conf`	Compressed sensing with corrupted participants. ICASSP Meng Wang, Weiyu Xu, A. Robert Calderbank
2013	J	`jnl`	Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks. IEEE Trans. Signal Process. Weiyu Xu, Meng Wang, Jian-Feng Cai, Ao Tang
2012	J	`jnl`	Sparse Recovery with Graph Constraints CoRR Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
2012	A*	`conf`	Sparse recovery with graph constraints: Fundamental limits and measurement construction. INFOCOM Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
2011	J	`jnl`	A Unique "Nonnegative" Solution to an Underdetermined System: From Vectors to Matrices. IEEE Trans. Signal Process. Meng Wang, Weiyu Xu, Ao Tang
2011	J	`jnl`	Cost of Not Splitting in Routing: Characterization and Estimation. IEEE/ACM Trans. Netw. Meng Wang, Chee Wei Tan, Weiyu Xu, Ao Tang
2011	J	`jnl`	On State Estimation with Bad Data Detection CoRR Weiyu Xu, Meng Wang, Ao Tang
2011	—	`conf`	On state estimation with bad data detection. CDC/ECC Weiyu Xu, Meng Wang, Ao Tang
2011	J	`jnl`	On the Performance of Sparse Recovery Via l IEEE Trans. Inf. Theory Meng Wang, Weiyu Xu, Ao Tang
2011	—	`conf`	Recent results on sparse recovery over graphs. ACSCC Weiyu Xu, Meng Wang, Enrique Mallada, Ao Tang
2011	J	`jnl`	Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks CoRR Weiyu Xu, Meng Wang, Ao Tang
2011	J	`jnl`	Sparse Recovery with Graph Constraints: Fundamental Limits and Measurement Construction CoRR Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
2010	J	`jnl`	A Unique "Nonnegative" Solution to an Underdetermined System: from Vectors to Matrices CoRR Meng Wang, Weiyu Xu, Ao Tang
2010	J	`jnl`	On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1) CoRR Meng Wang, Weiyu Xu, Ao Tang
2010	J	`jnl`	The Limits of Error Correction with lp Decoding CoRR Meng Wang, Weiyu Xu, Ao Tang
2010	B	`conf`	The limits of error correction with lp decoding. ISIT Meng Wang, Weiyu Xu, Ao Tang
2009	—	`conf`	Conditions for a unique non-negative solution to an underdetermined system. Allerton Meng Wang, Ao Tang
2009	B	`conf`	How Bad is Single-Path Routing. GLOBECOM Meng Wang, Chee Wei Tan, Ao Tang, Steven H. Low