Lin Zhang - RankMe

20 papers A* 4A 4B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. ASPLOS (1) Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. CoRR Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap. CoRR Wenxiang Lin, Xinglin Pan, Lin Zhang, Shaohuai Shi, Xuan Wang, Xiaowen Chu
2025	A*	`conf`	SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning. INFOCOM Ne Wang, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Ruiting Zhou, Bo Li
2023	A*	`conf`	Accelerating Distributed K-FAC with Efficient Collective Communication and Scheduling. INFOCOM Lin Zhang, Shaohuai Shi, Bo Li
2023	A	`conf`	DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
2023	J	`jnl`	Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
2023	J	`jnl`	Eva: A General Vectorized Approximation Framework for Second-order Optimization. CoRR Lin Zhang, Shaohuai Shi, Bo Li
2023	A*	`conf`	Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation. ICLR Lin Zhang, Shaohuai Shi, Bo Li
2023	A	`conf`	Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. ICDCS Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
2023	J	`jnl`	Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. CoRR Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
2023	J	`jnl`	GRACE: A General Graph Convolution Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han
2023	J	`jnl`	LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning. CoRR Longteng Zhang, Lin Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
2023	J	`jnl`	Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. IEEE Trans. Cloud Comput. Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
2022	A*	`conf`	Exact Shape Correspondence via 2D graph convolution. NeurIPS Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng
2022	J	`jnl`	Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning. CoRR Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
2021	A	`conf`	Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks. ICDCS Shaohuai Shi, Lin Zhang, Bo Li
2021	J	`jnl`	Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks. CoRR Shaohuai Shi, Lin Zhang, Bo Li
2021	A	`conf`	HyperGraph Convolution Based Attributed HyperGraph Clustering. CIKM Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han
2020	B	`conf`	Online Cooperative Resource Allocation at the Edge: A Privacy-Preserving Approach. ICNP Yuqing Li, Hok Chun Ng, Lin Zhang, Bo Li