🧑‍🔬 Lianmin Zheng — all works

31 works · ← Lianmin Zheng

1. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
2. Efficient Memory Management for Large Language Model Serving with PagedAttentionarXiv:2309.06180Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, et al.2023 · 4,531 citations
3. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
4. SGLang: Efficient Execution of Structured Language Model ProgramsConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 729 citations
5. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
6. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
7. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning ↗OSDI 2022 · no summary yetLianmin Zheng et al.2022 · 279 citations
8. Learning to Optimize Tensor Programs ↗arXiv:1805.08166 · no summary yetTianqi Chen et al.2019 · 269 citations
9. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetarXiv:2309.11998Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 242 citations
10. A Hardware–Software Blueprint for Flexible Deep Learning Specialization ↗IEEE Micro · no summary yetThierry Moreau et al.2019 · 184 citations
11. AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving ↗OSDI 2023 · no summary yetZhuohan Li et al.2023 · 170 citations
12. MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence ↗arXiv:1712.00600 · no summary yetLianmin Zheng et al.2017 · 158 citations
13. TensorIR: An Abstraction for Automatic Tensorized Program Optimization ↗ASPLOS 2023 · no summary yetSiyuan Feng et al.2022 · 130 citations
14. Ansor: Generating High-Performance Tensor Programs for Deep Learning ↗arXiv:2006.06762 · no summary yetLianmin Zheng et al.2020 · 130 citations
15. Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesarXiv:2311.04850Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 103 citations
16. S-LoRA: Serving Thousands of Concurrent LoRA Adapters ↗MLSys 2024 · no summary yetYing Sheng et al.2023 · 80 citations
17. A Unified Optimization Approach for CNN Model Inference on Integrated GPUs ↗arXiv:1907.02154 · no summary yetLeyuan Wang et al.2019 · 42 citations
18. Post-Training Sparse Attention with Double Sparsity ↗arXiv:2408.07092 · no summary yetShuo Yang et al.2024 · 29 citations
19. ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ↗arXiv (Cornell University) · no summary yetJianfei Chen et al.2021 · 29 citations
20. TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers ↗neural information processing systems · no summary yetLianmin Zheng et al.2021 · 25 citations
21. On Optimizing the Communication of Model Parallelism ↗arXiv (Cornell University) · no summary yetYonghao Zhuang et al.2022 · 21 citations
22. GACT: Activation Compressed Training for Generic Network Architectures ↗arXiv (Cornell University) · no summary yetLiu, Xiaoxuan et al.2022 · 20 citations
23. BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching ↗arXiv (Cornell University) · no summary yetYilong Zhao et al.2024 · 16 citations
24. Size-to-depth: A New Perspective for Single Image Depth Estimation ↗arXiv (Cornell University) · no summary yetYiran Wu, Sihao Ying, Lianmin Zheng2018 · 16 citations
25. On Optimal Caching and Model Multiplexing for Large Model Inference ↗arXiv (Cornell University) · no summary yetBanghua Zhu et al.2023 · 5 citations
26. NumS: Scalable Array Programming for the Cloud ↗arXiv:2206.14276 · no summary yetMelih Elibol et al.2022 · 3 citations
27. Towards Optimal Caching and Model Selection for Large Model Inference ↗neural information processing systems · no summary yetBanghua Zhu et al.2023 · 2 citations
28. Simple and Automatic Distributed Machine Learning on Ray ↗no summary yetHao Zhang et al.2021 · 1 citation
29. Rapid Mapping of Photocathode Quantum Efficiency: A Magnetized Electron Beam Imaging Approach ↗arXiv (Cornell University) · no summary yetYihan Liu, Lianmin Zheng, Yingchao Du2026
30. Experiment Research on Feasibility of In-Situ Plasma Cleaning in Normal-conducting Copper Cavities ↗arXiv (Cornell University) · no summary yetQianxu Xia, Lianmin Zheng, Yingchao Du2024
31. Thermal emittance mapping of a cesium telluride photocathode using microlens-arrays based laser pattern beam ↗arXiv (Cornell University) · no summary yetLianmin Zheng et al.2019

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/lianmin-zheng/works/