Borui Wan

According to our database, Borui Wan authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

MegaScale-Data: Scaling DataLoader for Multisource Large Foundation Model Training.

Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Shibiao Nong, Yanghua Peng, Haibin Lin, Chuan Wu

Proceedings of the 21st European Conference on Computer Systems, 2026

Laminar: A Scalable Asynchronous RL Post-Training Framework.

Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training.

Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

CoRR, April, 2025

Efficient LLM Serving on Hybrid Real-time and Best-effort Requests.

Borui Wan, Juntao Zhao, Chenyu Jiang, Chuanxiong Guo, Chuan Wu

CoRR, April, 2025

Robust LLM Training Infrastructure at ByteDance.

Borui Wan, Gaohong Liu, Zuquan Song, Jun Wang, Yun Zhang, Guangming Sheng, Shuguang Wang, Houmin Wei, Chenyuan Wang, Weiqiang Lou, Xi Yang, Mofan Zhang, Kaihua Jiang, Cheng Ren, Xiaoyun Zhi, Menghan Yu, Zhe Nan, Zhuolin Zheng, Baoquan Zhong, Qinlong Wang, Huan Yu, Jinxin Chi, Wang Zhang, Yuhan Li, Zixian Du, Sida Zhao, Yongqiang Zhang, Jingzhe Tang, Zherui Liu, Chuan Wu, Yanghua Peng, Haibin Lin, Wencong Xiao, Xin Liu, Liang Xiang

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development.

Borui Wan, Mingji Han, Yiyao Sheng, Yanghua Peng, Haibin Lin, Mofan Zhang, Zhichao Lai, Menghan Yu, Junda Zhang, Zuquan Song, Xin Liu, Chuan Wu

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

SplitQuant: Resource-Efficient LLM Offline Serving on Heterogeneous GPUs via Phase-Aware Model Partition and Adaptive Quantization.

Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu

Proceedings of the IEEE International Conference on Cluster Computing, 2025

2024

ByteCheckpoint: A Unified Checkpointing System for LLM Development.

Borui Wan, Mingji Han, Yiyao Sheng, Zhichao Lai, Mofan Zhang, Junda Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

CoRR, 2024

LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.

Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu

CoRR, 2024

POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.

Juntao Zhao, Borui Wan, Chuan Wu, Yanghua Peng, Haibin Lin

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices.

Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training.

Borui Wan, Juntao Zhao, Chuan Wu

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2021

ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access.

Gaoyang Liu, Shijie Wang, Borui Wan, Zekun Wang, Chen Wang

Proceedings of the 20th IEEE International Conference on Trust, 2021