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2020 – today
- 2025
[c5]Yujie Wang
, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui:
FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism. ASPLOS (2) 2025: 421-436- [c4]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. ASPLOS (2) 2025: 1139-1155 - [c3]Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui:
NetMoE: Accelerating MoE Training through Dynamic Sample Placement. ICLR 2025 - [i4]Xinyi Liu, Yujie Wang, Shenhan Zhu, Fangcheng Fu, Qingshuo Liu, Guangming Lin, Bin Cui:
Galvatron: An Automatic Distributed System for Efficient Foundation Model Training. CoRR abs/2504.21411 (2025) - 2024
- [j1]Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. IEEE Trans. Knowl. Data Eng. 36(8): 3906-3920 (2024) - [c2]Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI 2024: 8179-8187 - [c1]Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui:
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. NeurIPS 2024 - [i3]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR abs/2409.03365 (2024) - [i2]Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui:
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. CoRR abs/2411.08446 (2024) - [i1]Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui:
Data-Centric and Heterogeneity-Adaptive Sequence Parallelism for Efficient LLM Training. CoRR abs/2412.01523 (2024)
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