| Adaptive message quantization and parallelization for distributed full-graph gnn training B Wan, J Zhao, C Wu Proceedings of Machine Learning and Systems 5, 203-218, 2023 | 22 | 2023 |
| Llm-pq: Serving llm on heterogeneous clusters with phase-aware partition and adaptive quantization J Zhao, B Wan, Y Peng, H Lin, C Wu arXiv preprint arXiv:2403.01136, 2024 | 10 | 2024 |
| ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development B Wan, M Han, Y Sheng, Y Peng, H Lin, M Zhang, Z Lai, Y Menghan, ... arXiv preprint arXiv:2407.20143, 2024 | 4* | 2024 |
| POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization J Zhao, B Wan, C Wu, Y Peng, H Lin Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024 | 1 | 2024 |
| QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices J Zhao, B Wan, Y Peng, H Lin, Y Zhu, C Wu 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024 | | 2024 |
| BCP: A Unified Checkpointing System for Large Foundation Model Development B Wan, M Han, Y Sheng, Y Peng, H Lin, M Zhang, Z Lai, M Yu, J Zhang, ... | | |
Chuan WuProfessor of Computer Science, The University of Hong KongVerificeret mail på cs.hku.hk