Lianmin Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | BlendServe: Optimizing Offline Inference with Resource-Aware Batching. | Yilong Zhao, Shuo Yang, Kan Zhu, Lianmin Zheng, Baris Kasikci, Yifan Qiao, Yang Zhou, Jiarong Xing, Ion Stoica |
| 2024 | ICLR | LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. | 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 | ICML | Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. | Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica |
| 2023 | ASPLOS | TensorIR: An Abstraction for Automatic Tensorized Program Optimization. | Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen |
| 2023 | ICML | FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang |
| 2023 | OSDI | AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. | Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica |
| 2023 | SOSP | Efficient Memory Management for Large Language Model Serving with PagedAttention. | Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica |
| 2022 | ICML | GACT: Activation Compressed Training for Generic Network Architectures. | Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung |
| 2022 | OSDI | Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. | 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 |
| 2021 | ICML | ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. | Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez |
| 2021 | KDD | Simple and Automatic Distributed Machine Learning on Ray. | Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica |
| 2020 | OSDI | Ansor: Generating High-Performance Tensor Programs for Deep Learning. | Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica |
| 2019 | ICPP | A Unified Optimization Approach for CNN Model Inference on Integrated GPUs. | Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang |
| 2018 | AAAI | MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. | Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | OSDI | TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. | Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy |