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Author

Lin Zhang

Observed name: Zhang, Lin
ORCID: 0000-0001-8493-4705
Observed ORCID: 0000-0001-8493-4705
OpenAlex ID: A5075963446
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
2023 · Lin Zhang, Shaohuai Shi, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS) · 23
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Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
2023 · Lin Zhang, Longteng Zhang, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS) · 20
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GRACE: A General Graph Convolution Framework for Attributed Graph Clustering
2022 · Barakeel Fanseu Kamhoua, Lin Zhang, et al. · ACM Transactions on Knowledge Discovery from Data · 17
Accurate Modeling and Efficient Estimation of the Print-Capture Channel With Application in Barcoding
2018 · Lin Zhang, Changsheng Chen, et al. · IEEE Transactions on Image Processing · 17
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models
2025 · Xinglin Pan, Wenxiang Lin, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 12
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LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
2023 · Zhang, Longteng, Zhang, Lin, et al. · arXiv (Cornell University) · 11
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HyperGraph Convolution Based Attributed HyperGraph Clustering
2021 · Barakeel Fanseu Kamhoua, Lin Zhang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 10
Online Cooperative Resource Allocation at the Edge: A Privacy-Preserving Approach
2020 · Yuqing Li, Hok Chun Ng, et al. · IEEE International Conference on Network Protocols (ICNP) · 10
SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning
2025 · Ne Wang, Wenxiang Lin, et al. · IEEE Conference on Computer Communications (INFOCOM) · 7
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
2021 · Shaohuai Shi, Lin Zhang, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS) · 6
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Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning
2022 · Lin Zhang, Shaohuai Shi, et al. · IEEE Transactions on Cloud Computing · 5
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Accelerating Distributed K-FAC with Efficient Collective Communication and Scheduling
2023 · Lin Zhang, Shaohuai Shi, et al. · IEEE Conference on Computer Communications (INFOCOM) · 4
Efficient Mixture-of-Experts Training With Pipelining Optimization
2026 · Ne Wang, Wenxiang Lin, et al. · IEEE Transactions on Computers · 1
Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training
2026 · Xiang, Guangyu, Kang, Xueze, et al. · arXiv (Cornell University)
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Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration
2026 · Kang, Xueze, Xiang, Guangyu, et al. · arXiv (Cornell University)
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KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding
2026 · Xiang, Guangyu, Kang, Xueze, et al. · arXiv (Cornell University)
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Metis: Bridging Text and Code Memory for Self-Evolving Agents
2026 · Dai, Zijie, He, Siuhin, et al. · arXiv (Cornell University)
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Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism
2026 · Sun, Boran, Jiang, Guoyong, et al. · arXiv (Cornell University)
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Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism
2026 · Boran Sun, Guoyong Jiang, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS)
GPS: Revisiting the Data Layout for Disk-based High-Dimensional Vector Search
2026 · Peiqi Yin, Xiao Yan, et al. · Proceedings of the ACM on Management of Data
HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap
2026 · Wenxiang Lin, Xinglin Pan, et al. · IEEE Conference on Computer Communications (INFOCOM)
Compass: Dissecting Communication and Computation Operators for Efficient LLM Training
2026 · Guangyu Xiang, Lin Zhang, et al. · IEEE Conference on Computer Communications (INFOCOM)
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Eva: A General Vectorized Approximation Framework for Second-order Optimization
2023 · Zhang, Lin, Shi, Shaohuai, et al. · arXiv (Cornell University)
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Towards scalable deep learning with communication optimizations
2023 · Lin Zhang
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Exact Shape Correspondence Via 2D Graph Convolution
2022 · Barakeel Fanseu Kamhoua, Lin Zhang, et al. · neural information processing systems
Works count: 29
Citation count: 146
H-index: 8
I10-index: 8
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