Tianyuan Wu

According to our database, Tianyuan Wu authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL.

Wei Gao, Yuheng Zhao, Dilxat Muhtar, Dakai An, Xuchun Shang, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Weixun Wang, Ju Huang, Teng Ma, Siran Yang, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, May, 2026

Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes.

Tianyuan Wu, Chaokun Chang, Lunxi Cao, Wei Gao, Wei Wang

CoRR, April, 2026

Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training.

Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching.

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

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure.

Wei Gao, Yuheng Zhao, Tianyuan Wu, Shaopan Xiong, Weixun Wang, Dakai An, Lunxi Cao, Dilxat Muhtar, Zichen Liu, Haizhou Zhao, Ju Huang, Siran Yang, Yongbin Li, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, December, 2025

RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training.

Tianyuan Wu, Lunxi Cao, Yining Wei, Wei Gao, Yuheng Zhao, Dakai An, Shaopan Xiong, Zhiqiang Lv, Ju Huang, Siran Yang, Yinghao Yu, Jiamang Wang, Lin Qu, Wei Wang

CoRR, December, 2025

AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs.

Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan

CoRR, November, 2025

RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training.

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

CoRR, September, 2025

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

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

CoRR, June, 2025

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation.

Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang

CoRR, April, 2025

GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference.

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

2024

Echo: Simulating Distributed Training At Scale.

Yicheng Feng, Yuetao Chen, Kaiwen Chen, Jingzong Li, Tianyuan Wu, Peng Cheng, Chuan Wu, Wei Wang, Tsung-Yi Ho, Hong Xu

CoRR, 2024

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

CoRR, 2024

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference.

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang

CoRR, 2024

Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy.

Yuanhao Li, Tianyuan Wu, Guancheng Li, Yanjie Song, Shu Yin

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

A Data Optimizer for Region-Aware Self-describing Files in Scientific Computing.

Yanjie Song, Tianyuan Wu, Yuanhao Li, Guancheng Li, Yuchen Liu, Shu Yin, Wei Xue, Junchao Wang

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2022

Reproducibility: Performance Evaluation of MemXCT on Azure CycleCloud Platform.

Yuchen Liu, Yixuan Meng, Kaiyuan Xu, Zijun Xu, Tianyuan Wu, Yiwei Yang, Shu Yin

IEEE Trans. Parallel Distributed Syst., 2022