Tianyuan Wu - RankMe

14 papers A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. CoRR Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan
2025	J	`jnl`	Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation. CoRR Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang
2025	—	`conf`	GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. USENIX ATC Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2025	J	`jnl`	Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR 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
2025	J	`jnl`	RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure. CoRR 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
2025	J	`jnl`	RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training. CoRR 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
2025	J	`jnl`	RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training. CoRR 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
2025	—	`conf`	Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. USENIX ATC Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024	—	`conf`	A Data Optimizer for Region-Aware Self-describing Files in Scientific Computing. SoCC Yanjie Song, Tianyuan Wu, Yuanhao Li, Guancheng Li, Yuchen Liu, Shu Yin, Wei Xue, Junchao Wang
2024	J	`jnl`	CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024	J	`jnl`	Echo: Simulating Distributed Training At Scale. CoRR Yicheng Feng, Yuetao Chen, Kaiwen Chen, Jingzong Li, Tianyuan Wu, Peng Cheng, Chuan Wu, Wei Wang, Tsung-Yi Ho, Hong Xu
2024	J	`jnl`	FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training. CoRR Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2024	A	`conf`	Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy. ICDCS Yuanhao Li, Tianyuan Wu, Guancheng Li, Yanjie Song, Shu Yin
2022	J	`jnl`	Reproducibility: Performance Evaluation of MemXCT on Azure CycleCloud Platform. IEEE Trans. Parallel Distributed Syst. Yuchen Liu, Yixuan Meng, Kaiyuan Xu, Zijun Xu, Tianyuan Wu, Yiwei Yang, Shu Yin