Zhuohan Li - RankMe

37 papers A* 15Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. SOSP Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2024	—	`—`	Empowering Large Language Models with Efficient and Automated Systems Zhuohan Li
2024	A*	`conf`	Fairness in Serving Large Language Models. OSDI Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Fairness in Serving Large Language Models. CoRR Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2024	A*	`conf`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2024	J	`jnl`	Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
2023	A*	`conf`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	A*	`conf`	Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
2023	J	`jnl`	Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica
2023	A*	`conf`	FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	J	`jnl`	High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR 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
2023	A*	`conf`	Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2023	—	`conf`	On Optimizing the Communication of Model Parallelism. MLSys Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
2023	J	`jnl`	What is the State of Memory Saving for Model Training? CoRR Xiaoxuan Liu, Siddharth Jha, Chuyan Zhu, Zhuohan Li, Alvin Cheung
2022	A*	`conf`	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI 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
2022	J	`jnl`	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2022	J	`jnl`	On Optimizing the Communication of Model Parallelism. CoRR Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2021	A*	`conf`	Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2021	J	`jnl`	Rearchitecting In-Memory Object Stores for Low Latency. Proc. VLDB Endow. Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica
2021	A*	`conf`	Simple and Automatic Distributed Machine Learning on Ray. KDD Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica
2021	A*	`conf`	TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica
2021	J	`jnl`	TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica
2020	J	`jnl`	Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2020	A*	`conf`	Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez
2020	J	`jnl`	Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez
2019	A*	`conf`	Efficient Training of BERT by Progressively Stacking. ICML Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	A*	`conf`	Fast Structured Decoding for Sequence Models. NeurIPS Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng
2019	J	`jnl`	Fast Structured Decoding for Sequence Models. CoRR Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng
2019	—	`conf`	Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Hint-Based Training for Non-Autoregressive Machine Translation. CoRR Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Towards Binary-Valued Gates for Robust LSTM Training. ICML Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	Towards Binary-Valued Gates for Robust LSTM Training. CoRR Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu