Lin Zhang

According to our database, Lin Zhang authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap.

Wenxiang Lin, Xinglin Pan, Lin Zhang, Shaohuai Shi, Xuan Wang, Xiaowen Chu

CoRR, August, 2025

SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning.

Ne Wang, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Ruiting Zhou, Bo Li

Proceedings of the IEEE INFOCOM 2025, 2025

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models.

Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2023

GRACE: A General Graph Convolution Framework for Attributed Graph Clustering.

Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han

ACM Trans. Knowl. Discov. Data, April, 2023

Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning.

Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li

IEEE Trans. Cloud Comput., 2023

LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning.

Longteng Zhang, Lin Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li

CoRR, 2023

Eva: A General Vectorized Approximation Framework for Second-order Optimization.

Lin Zhang, Shaohuai Shi, Bo Li

CoRR, 2023

Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning.

Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu

CoRR, 2023

Accelerating Distributed K-FAC with Efficient Collective Communication and Scheduling.

Lin Zhang, Shaohuai Shi, Bo Li

Proceedings of the IEEE INFOCOM 2023, 2023

Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation.

Lin Zhang, Shaohuai Shi, Bo Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluation and Optimization of Gradient Compression for Distributed Deep Learning.

Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining.

Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

Exact Shape Correspondence via 2D graph convolution.

Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks.

Shaohuai Shi, Lin Zhang, Bo Li

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

HyperGraph Convolution Based Attributed HyperGraph Clustering.

Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Online Cooperative Resource Allocation at the Edge: A Privacy-Preserving Approach.

Yuqing Li, Hok Chun Ng, Lin Zhang, Bo Li

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020