Huan Li

According to our database, Huan Li authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.

Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Convergence Rate Analysis of LION.

Yiming Dong, Huan Li, Zhouchen Lin

CoRR, 2024

On the O(×d/T^1/4) Convergence Rate of RMSProp and Its Momentum Extension Measured by 𝓁_l Norm: Better Dependence on the Dimension.

Huan Li, Zhouchen Lin

CoRR, 2024

2023

Optimization-inspired manual architecture design and neural architecture search.

Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin

Sci. China Inf. Sci., November, 2023

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity.

Huan Li, Zhouchen Lin

J. Mach. Learn. Res., 2023

2022

Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization.

Huan Li, Zhouchen Lin, Yongchun Fang

J. Mach. Learn. Res., 2022

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε^-7/4) Complexity.

Huan Li, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Alternating Direction Method of Multipliers for Machine Learning

Zhouchen Lin, Huan Li, Cong Fang

Springer, ISBN: 978-981-16-9839-2, 2022

2021

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization.

Huan Li, Zhouchen Lin

CoRR, 2021

2020

Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters.

Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin

IEEE Trans. Signal Process., 2020

Revisiting EXTRA for Smooth Distributed Optimization.

Huan Li, Zhouchen Lin

SIAM J. Optim., 2020

Accelerated First-Order Optimization Algorithms for Machine Learning.

Huan Li, Cong Fang, Zhouchen Lin

Proc. IEEE, 2020

Provable accelerated gradient method for nonconvex low rank optimization.

Huan Li, Zhouchen Lin

Mach. Learn., 2020

On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent.

Huan Li, Zhouchen Lin

J. Mach. Learn. Res., 2020

Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization.

Huan Li, Zhouchen Lin, Yongchun Fang

CoRR, 2020

Accelerated Optimization for Machine Learning - First-Order Algorithms

Zhouchen Lin, Huan Li, Cong Fang

Springer, ISBN: 978-981-15-2909-2, 2020

2019

Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis.

Huan Li, Zhouchen Lin

J. Sci. Comput., 2019

2018

Optimized projections for compressed sensing via direct mutual coherence minimization.

Canyi Lu, Huan Li, Zhouchen Lin

Signal Process., 2018

Optimization Algorithm Inspired Deep Neural Network Structure Design.

Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Construction of Incoherent Dictionaries via Direct Babel Function Minimization.

Huan Li, Zhouchen Lin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2016

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting.

Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.

Zhouchen Lin, Risheng Liu, Huan Li

Mach. Learn., 2015

Accelerated Proximal Gradient Methods for Nonconvex Programming.

Huan Li, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015