Large-Scale Training System for 100-Million Classification at Alibaba. - Liuyihan Song; Pan Pan; Kang Zhao; Hao Yang; Yiming Chen 003; Yingya Zhang; Yinghui Xu; Rong Jin 001 (KDD, 2020)

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. - Kun Yuan 001; Yiming Chen 003; Xinmeng Huang; Yingya Zhang; Pan Pan; Yinghui Xu; Wotao Yin (ICCV, 2021)

Accelerating Gossip SGD with Periodic Global Averaging. - Yiming Chen 003; Kun Yuan 001; Yingya Zhang; Pan Pan; Yinghui Xu; Wotao Yin (ICML, 2021)

Exponential Graph is Provably Efficient for Decentralized Deep Training. - Bicheng Ying; Kun Yuan 001; Yiming Chen 003; Hanbin Hu; Pan Pan; Wotao Yin (NeurIPS, 2021)

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. - Bicheng Ying; Kun Yuan 001; Hanbin Hu; Yiming Chen 003; Wotao Yin (CoRR, 2021)

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. - Xinmeng Huang; Yiming Chen 003; Wotao Yin; Kun Yuan 001 (NeurIPS, 2022)

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization. - Kun Yuan 001; Xinmeng Huang; Yiming Chen 003; Xiaohan Zhang; Yingya Zhang; Pan Pan (NeurIPS, 2022)

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. - Yutong He; Xinmeng Huang; Yiming Chen 003; Wotao Yin; Kun Yuan 001 (CoRR, 2023)

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures. - Yiming Chen 003; Yuan Zhang; Liyuan Cao; Kun Yuan 001; Zaiwen Wen (ICLR, 2025)

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models. - Yiming Chen 003; Yuan Zhang; Yin Liu; Kun Yuan 001; Zaiwen Wen (CoRR, 2025)