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Zhuohan Li
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2020 – today
- 2023
- [i11]Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR abs/2302.11665 (2023) - [i10]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023) - 2022
- [c10]Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI 2022: 559-578 - [i9]Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR abs/2201.12023 (2022) - [i8]Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
On Optimizing the Communication of Model Parallelism. CoRR abs/2211.05322 (2022) - 2021
- [j7]Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica:
Rearchitecting In-Memory Object Stores for Low Latency. Proc. VLDB Endow. 15(3): 555-568 (2021) - [c9]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML 2021: 6543-6552 - [c8]Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica:
Simple and Automatic Distributed Machine Learning on Ray. KDD 2021: 4094-4095 - [c7]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM 2021: 641-656 - [i7]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR abs/2102.07988 (2021) - 2020
- [c6]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968 - [i6]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR abs/2002.05814 (2020) - [i5]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR abs/2002.11794 (2020)
2010 – 2019
- 2019
- [c5]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c4]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c3]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. NeurIPS 2019: 3011-3020 - [i4]Yiping Lu
, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu:
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR abs/1906.02762 (2019) - [i3]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i2]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. CoRR abs/1910.11555 (2019) - 2018
- [j6]Yi An, Xiaoli Zhou, Zhuohan Li, Cheng Shao:
Earth pressure prediction in the chamber for earth pressure balanced shield machines. Int. J. Comput. Appl. Technol. 57(4): 354-360 (2018) - [j5]Zhenxin Fu, Lei Yang
, Wenbin Hou, Zhuohan Li, Yifan Wu, Yihua Cheng, Xiaolin Wang, Yun Liang:
Student Cluster Competition 2017, Team Peking University: Reproducing vectorization of the Tersoff multi-body potential on the Intel Broadwell architecture. Parallel Comput. 78: 28-32 (2018) - [c2]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [i1]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - 2017
- [j4]Lei Yang
, Yilong Li, Zhenxin Fu, Zhuohan Li, Wenbin Hou, Haoze Wu, Xiaolin Wang, Yun Liang:
ParConnect reproducibility report. Parallel Comput. 70: 22-26 (2017) - 2016
- [j3]Yi An, Peng Zhao, Zhuohan Li, Cheng Shao
:
Self-adaptive polygon mesh reconstruction based on ball-pivoting algorithm. Int. J. Comput. Appl. Technol. 54(1): 51-60 (2016) - 2013
- [j2]Zhuohan Li, C. He, T. Song, Cheng Shao
, Yi An:
A novel information exchange method for industrial heterogeneous fieldbuses. Int. J. Comput. Appl. Technol. 48(4): 345-352 (2013) - 2011
- [j1]Yi An, Cheng Shao
, Xiaoliang Wang, Zhuohan Li:
Geometric properties estimation from discrete curves using discrete derivatives. Comput. Graph. 35(4): 916-930 (2011) - [c1]Zhuohan Li, Cheng Shao
, Yi An, Chengge Sun, Youwen Lin, Xiaofang Wang:
Three-phase high voltage power supply design for electrostatic precipitator based on phase sequence self-adaption and redundant spark detection. iCAST 2011: 209-214
Coauthor Index

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last updated on 2023-03-26 00:36 CET by the dblp team
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