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Yuantao Gu
Yuantao Gu
Department of Electronic Engineering, Tsinghua University
Verified email at tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Sparse LMS for system identification
Y Chen, Y Gu, AO Hero
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
8752009
L0 Norm Constraint LMS for Sparse System Identification
Y Gu, J Jin, S Mei
Signal Processing Letters, IEEE 16 (9), 774-777, 2009
612*2009
Performance analysis of L0 norm constraint least mean square algorithm
G Su, J Jin, Y Gu, J Wang
IEEE Transactions on Signal Processing 60 (5), 2223-2235, 2012
2002012
A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework
J Jin, Y Gu, S Mei
IEEE Journal of Selected Topics in Signal Processing 4 (2), 409-420, 2010
1932010
Local-set-based graph signal reconstruction
X Wang, P Liu, Y Gu
IEEE transactions on signal processing 63 (9), 2432-2444, 2015
1882015
Disciplined convex-concave programming
X Shen, S Diamond, Y Gu, S Boyd
2016 IEEE 55th conference on decision and control (CDC), 1009-1014, 2016
1532016
Minimum error entropy Kalman filter
B Chen, L Dang, Y Gu, N Zheng, JC Príncipe
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (9), 5819-5829, 2019
1372019
Breaking the sample size barrier in model-based reinforcement learning with a generative model
G Li, Y Wei, Y Chi, Y Gu, Y Chen
Advances in neural information processing systems 33, 12861-12872, 2020
1282020
Linearized ADMM for nonconvex nonsmooth optimization with convergence analysis
Q Liu, X Shen, Y Gu
IEEE access 7, 76131-76144, 2019
1272019
Time-varying graph signal reconstruction
K Qiu, X Mao, X Shen, X Wang, T Li, Y Gu
IEEE Journal of Selected Topics in Signal Processing 11 (6), 870-883, 2017
1242017
LMS algorithm with gradient descent filter length
Y Gu, K Tang, H Cui
IEEE Signal Processing Letters 11 (3), 305-307, 2004
1212004
Regularized least-mean-square algorithms
Y Chen, Y Gu, AO Hero
arXiv preprint arXiv:1012.5066, 2010
962010
The convergence guarantees of a non-convex approach for sparse recovery
L Chen, Y Gu
IEEE Transactions on Signal Processing 62 (15), 3754-3767, 2014
922014
Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response
Y Gu, K Tang, H Cui, W Du
IEEE Signal Processing Letters 10 (1), 4-7, 2003
892003
Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction
G Li, Y Wei, Y Chi, Y Gu, Y Chen
Advances in neural information processing systems 33, 7031-7043, 2020
852020
Perturbation analysis of orthogonal matching pursuit
J Ding, L Chen, Y Gu
IEEE Transactions on Signal processing 61 (2), 398-410, 2012
822012
Block-sparsity-induced adaptive filter for multi-clustering system identification
S Jiang, Y Gu
IEEE Transactions on Signal Processing 63 (20), 5318-5330, 2015
792015
A distributed tracking algorithm for reconstruction of graph signals
X Wang, M Wang, Y Gu
IEEE Journal of Selected Topics in Signal Processing 9 (4), 728-740, 2015
742015
Is Q-learning minimax optimal? a tight sample complexity analysis
G Li, C Cai, Y Chen, Y Wei, Y Chi
Operations Research 72 (1), 222-236, 2024
652024
Walkman: A communication-efficient random-walk algorithm for decentralized optimization
X Mao, K Yuan, Y Hu, Y Gu, AH Sayed, W Yin
IEEE Transactions on Signal Processing 68, 2513-2528, 2020
622020
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