Haoyang Li

According to our database, Haoyang Li authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination.

Haoyang Li, Sheng Lin, Fangcheng Fu, Yuming Zhou, Xiaodong Ji, Yanfeng Zhao, Lefeng Wang, Jie Jiang, Bin Cui

CoRR, January, 2026

Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-Tolerant Distributed Training.

Xuanyu Wang, Fangcheng Fu, Haoyang Li, Hao Ge, Sheng Lin, Jiawen Niu, Bin Cui

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

2025

Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization.

Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Yujie Wang, Hailin Zhang, Xiaonan Nie, Bin Cui

Proc. ACM Manag. Data, June, 2025

LobRA: Multi-tenant Fine-tuning over Heterogeneous Data.

Sheng Lin, Fangcheng Fu, Haoyang Li, Hao Ge, Xuanyu Wang, Jiawen Niu, Yaofeng Tu, Bin Cui

Proc. VLDB Endow., April, 2025

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations.

Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Xupeng Miao, Bin Cui

CoRR, April, 2025

Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment.

Haoyang Li, Fangcheng Fu, Sheng Lin, Hao Ge, Xuanyu Wang, Jiawen Niu, Jinbao Xue, Yangyu Tao, Di Wang, Jie Jiang, Bin Cui

Proc. ACM Manag. Data, 2025

2024

Demystifying Workload Imbalances in Large Transformer Model Training over Variable-length Sequences.

Haoyang Li, Fangcheng Fu, Sheng Lin, Hao Ge, Xuanyu Wang, Jiawen Niu, Jie Jiang, Bin Cui

CoRR, 2024

Enabling Parallelism Hot Switching for Efficient Training of Large Language Models.

Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference.

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference.

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

CoRR, 2023