Keshi Ge

23 papers A 2B 1C 5Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A conf
AdaCheck: An Adaptive Checkpointing System for Efficient LLM Training with Redundancy Utilization.
FAST
Weijie Liu, Shengwei Li, Zhiquan Lai, Keshi Ge, Qiaoling Chen, Peng Sun, Dongsheng Li, Kai Lu
2026 J jnl
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-Scale MoE Models.
IEEE Trans. Parallel Distributed Syst.
Wei Wang, Zhiquan Lai, Dongsheng Li, Shengwei Li, Weijie Liu, Keshi Ge, Ao Shen, Huayou Su
2025 J jnl
AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers.
IEEE Trans. Computers
Weijie Liu, Kai Lu, Zhiquan Lai, Shengwei Li, Keshi Ge, Dongsheng Li, Xicheng Lu
2025 J jnl
Efficient deep neural network training via decreasing precision with layer capacity.
Frontiers Comput. Sci.
Ao Shen, Zhiquan Lai, Tao Sun, Shengwei Li, Keshi Ge, Weijie Liu, Dongsheng Li
2025 J jnl
Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism.
IEEE Trans. Parallel Distributed Syst.
Shengwei Li, Zhiquan Lai, Dongsheng Li, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Kai Lu
2024 J jnl
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training.
IEEE Trans. Parallel Distributed Syst.
Shengwei Li, Kai Lu, Zhiquan Lai, Weijie Liu, Keshi Ge, Dong Sheng Li
2024 C conf
HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism.
ISPA
Yanqi Hao, Zhiquan Lai, Wei Wang, Shengwei Li, Weijie Liu, Keshi Ge, Dongsheng Li
2024 J jnl
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models.
CoRR
Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Ao Shen, Huayou Su, Dong Sheng Li
2023 — conf
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division.
Euro-Par
Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li
2023 J jnl
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.
CoRR
Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu
2023 J jnl
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models.
IEEE J. Sel. Areas Commun.
Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li
2023 J jnl
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst.
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2023 C conf
Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.
CLUSTER
Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li
2022 C conf
AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing.
CLUSTER
Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li
2022 J jnl
BRGraph: An efficient graph neural network training system by reusing batch data on GPU.
Concurr. Comput. Pract. Exp.
Keshi Ge, Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li
2022 C conf
HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.
CLUSTER
Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li
2022 J jnl
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models.
CoRR
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2022 Misc conf
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
ICASSP
Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
2021 C conf
CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization.
CLUSTER
Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
2021 J jnl
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
CoRR
Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
2020 B conf
Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation.
IWQoS
Yixin Chen, Xinye Lin, Keshi Ge, Wenbo He, Dongsheng Li
2019 A conf
HPDL: Towards a General Framework for High-performance Distributed Deep Learning.
ICDCS
Dongsheng Li, Zhiquan Lai, Keshi Ge, Yiming Zhang, Zhaoning Zhang, Qinglin Wang, Huaimin Wang
2018 — conf
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
ICDM Workshops
Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu