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2020 – today
- 2025
[c4]Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang:
Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. USENIX ATC 2025: 613-629- [c3]Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang:
GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. USENIX ATC 2025: 731-747 - [i7]Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang:
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation. CoRR abs/2504.19232 (2025) - [i6]Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao
, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng:
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR abs/2506.06122 (2025) - [i5]Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang:
RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training. CoRR abs/2509.21009 (2025) - [i4]Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan:
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. CoRR abs/2511.00796 (2025) - 2024
- [c2]Yanjie Song, Tianyuan Wu, Yuanhao Li, Guancheng Li, Yuchen Liu, Shu Yin, Wei Xue, Junchao Wang:
A Data Optimizer for Region-Aware Self-describing Files in Scientific Computing. SoCC 2024: 883-897 - [c1]Yuanhao Li, Tianyuan Wu, Guancheng Li, Yanjie Song, Shu Yin:
Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy. ICDCS 2024: 59-70 - [i3]Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang:
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR abs/2401.11240 (2024) - [i2]Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang:
FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training. CoRR abs/2410.12588 (2024) - [i1]Yicheng Feng, Yuetao Chen, Kaiwen Chen, Jingzong Li, Tianyuan Wu, Peng Cheng, Chuan Wu, Wei Wang, Tsung-Yi Ho, Hong Xu:
Echo: Simulating Distributed Training At Scale. CoRR abs/2412.12487 (2024) - 2022
- [j1]Yuchen Liu, Yixuan Meng, Kaiyuan Xu, Zijun Xu, Tianyuan Wu, Yiwei Yang, Shu Yin:
Reproducibility: Performance Evaluation of MemXCT on Azure CycleCloud Platform. IEEE Trans. Parallel Distributed Syst. 33(9): 2047-2049 (2022)
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