Accelerated Proximal Gradient Methods for Nonconvex Programming. - Huan Li 007; Zhouchen Lin (NIPS, 2015)

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. - Zhouchen Lin; Risheng Liu; Huan Li 007 (Mach. Learn., 2015)

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. - Canyi Lu; Huan Li 007; Zhouchen Lin; Shuicheng Yan (AAAI, 2016)

Construction of Incoherent Dictionaries via Direct Babel Function Minimization. - Huan Li 007; Zhouchen Lin (ACML, 2018)

Optimization Algorithm Inspired Deep Neural Network Structure Design. - Huan Li 007; Yibo Yang; Dongmin Chen; Zhouchen Lin (ACML, 2018)

Optimized projections for compressed sensing via direct mutual coherence minimization. - Canyi Lu; Huan Li 007; Zhouchen Lin (Signal Process., 2018)

Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis. - Huan Li 007; Zhouchen Lin (J. Sci. Comput., 2019)

Accelerated Optimization for Machine Learning - First-Order Algorithms - Zhouchen Lin; Huan Li 007; Cong Fang 001 (Springer, 2020)

Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization. - Huan Li 007; Zhouchen Lin; Yongchun Fang (CoRR, 2020)

On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent. - Huan Li 007; Zhouchen Lin (J. Mach. Learn. Res., 2020)

Provable accelerated gradient method for nonconvex low rank optimization. - Huan Li 007; Zhouchen Lin (Mach. Learn., 2020)

Accelerated First-Order Optimization Algorithms for Machine Learning. - Huan Li 007; Cong Fang 001; Zhouchen Lin (Proc. IEEE, 2020)

Revisiting EXTRA for Smooth Distributed Optimization. - Huan Li 007; Zhouchen Lin (SIAM J. Optim., 2020)

Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. - Huan Li 007; Cong Fang 001; Wotao Yin; Zhouchen Lin (IEEE Trans. Signal Process., 2020)

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization. - Huan Li 007; Zhouchen Lin (CoRR, 2021)

Alternating Direction Method of Multipliers for Machine Learning - Zhouchen Lin; Huan Li 007; Cong Fang 001 (Springer, 2022)

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε-7/4) Complexity. - Huan Li 007; Zhouchen Lin (ICML, 2022)

Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization. - Huan Li 007; Zhouchen Lin; Yongchun Fang (J. Mach. Learn. Res., 2022)

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity. - Huan Li 007; Zhouchen Lin (J. Mach. Learn. Res., 2023)

Optimization-inspired manual architecture design and neural architecture search. - Yibo Yang; Zhengyang Shen; Huan Li 007; Zhouchen Lin (Sci. China Inf. Sci., 2023)

On the O(×d/T1/4) Convergence Rate of RMSProp and Its Momentum Extension Measured by 𝓁l Norm: Better Dependence on the Dimension. - Huan Li 007; Zhouchen Lin (CoRR, 2024)

Convergence Rate Analysis of LION. - Yiming Dong; Huan Li 007; Zhouchen Lin (CoRR, 2024)

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. - Xingyu Xie; Pan Zhou 002; Huan Li 007; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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