撰写论文、专著、教材等
专著: ● Zhouchen Lin, Huan Li and Cong Fang, Accelerated Optimization for Machine Learning-First-Order Algorithms. Springer, 2020.
代表性论文:
● Huan Li, Cong Fang and Zhouchen Lin, Accelerated First-Order Optimization Algorithms for Machine Learning. Proceedings of the IEEE, 108(11):2067-2082, 2020. ● Huan Li and Zhouchen Lin, On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent. Journal of Machine Learning Research (JMLR), 21(33):1-45, 2020. ● Huan Li and Zhouchen Lin, Revisiting EXTRA for Smooth Distributed Optimization. SIAM Journal on Optimization (SIOPT), 30(3):1795-1821, 2020. ● Huan Li, Cong Fang, Wotao Yin and Zhouchen Lin,Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. IEEE transactions on Signal Processing (TSP), 68:4855-4870, 2020. ● Huan Li and Zhouchen Lin, Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization. Machine Learning, 109(1):103-134, 2020. ● Huan Li and Zhouchen Lin, Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis. Journal of Scientific Computing, 79(2):671-699, 2019. ● Huan Li and Zhouchen Lin, Accelerated Proximal Gradient Methods for Nonconvex Programming. Advances in Neural Information Processing Systems (NIPS), 2015. |