Online Cooperative Resource Allocation at the Edge: A Privacy-Preserving Approach. - Yuqing Li; Hok Chun Ng; Lin Zhang 059; Bo Li 001 (ICNP, 2020)

HyperGraph Convolution Based Attributed HyperGraph Clustering. - Barakeel Fanseu Kamhoua; Lin Zhang 059; Kaili Ma 001; James Cheng; Bo Li 001; Bo Han 003 (CIKM, 2021)

Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks. - Shaohuai Shi; Lin Zhang 059; Bo Li 001 (ICDCS, 2021)

Exact Shape Correspondence via 2D graph convolution. - Barakeel Fanseu Kamhoua; Lin Zhang 059; Yongqiang Chen 002; Han Yang 002; Kaili Ma 001; Bo Han 003; Bo Li 001; James Cheng (NeurIPS, 2022)

DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. - Lin Zhang 059; Shaohuai Shi; Xiaowen Chu 001; Wei Wang 030; Bo Li 001; Chengjian Liu (ICDCS, 2023)

Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. - Lin Zhang 059; Longteng Zhang; Shaohuai Shi; Xiaowen Chu 001; Bo Li 001 (ICDCS, 2023)

Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation. - Lin Zhang 059; Shaohuai Shi; Bo Li 001 (ICLR, 2023)

Accelerating Distributed K-FAC with Efficient Collective Communication and Scheduling. - Lin Zhang 059; Shaohuai Shi; Bo Li 001 (INFOCOM, 2023)

Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. - Lin Zhang 059; Shaohuai Shi; Xiaowen Chu 001; Wei Wang 030; Bo Li 001; Chengjian Liu (CoRR, 2023)

Eva: A General Vectorized Approximation Framework for Second-order Optimization. - Lin Zhang 059; Shaohuai Shi; Bo Li 001 (CoRR, 2023)

LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning. - Longteng Zhang; Lin Zhang 059; Shaohuai Shi; Xiaowen Chu 001; Bo Li 001 (CoRR, 2023)

Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. - Lin Zhang 059; Shaohuai Shi; Wei Wang 030; Bo Li 001 (IEEE Trans. Cloud Comput., 2023)

GRACE: A General Graph Convolution Framework for Attributed Graph Clustering. - Barakeel Fanseu Kamhoua; Lin Zhang 059; Kaili Ma 001; James Cheng; Bo Li 001; Bo Han 003 (ACM Trans. Knowl. Discov. Data, 2023)

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. - Xinglin Pan; Wenxiang Lin; Lin Zhang 059; Shaohuai Shi; Zhenheng Tang; Rui Wang; Bo Li 001; Xiaowen Chu 001 (ASPLOS (1), 2025)

SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning. - Ne Wang; Wenxiang Lin; Lin Zhang 059; Shaohuai Shi; Ruiting Zhou; Bo Li 001 (INFOCOM, 2025)

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap. - Wenxiang Lin; Xinglin Pan; Lin Zhang 059; Shaohuai Shi; Xuan Wang 002; Xiaowen Chu 001 (CoRR, 2025)