---
title: "Lianmin Zheng — all works — Elamur Research"
description: "All 32 works of Lianmin Zheng in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/lianmin-zheng/works/"
---
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# Lianmin Zheng — all works

32 works · [← Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/)

1. **[Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena](https://md.research.elamur.ai/free/en/papers/zheng-2023-judging-llm-judge-mt-bench/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 4,573 citations*
2. [**Efficient Memory Management for Large Language Model Serving with PagedAttention arXiv:2309.06180**Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, et al.*2023 · 4,531 citations*](https://md.research.elamur.ai/free/en/papers/kwon-2023-efficient-memory-management-large-language/)
3. [**TVM: An Automated End-to-End Optimizing Compiler for Deep Learning arXiv:1802.04799**Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.*2018 · 1,384 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-tvm-automated-end-end-optimizing/)
4. **[SGLang: Efficient Execution of Structured Language Model Programs](https://md.research.elamur.ai/free/en/papers/zheng-2023-sglang-efficient-execution-structured-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.*2023 · 729 citations*
5. [**Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference arXiv:2403.04132**Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.*2024 · 546 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-chatbot-arena-open-platform-evaluating/)
6. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU arXiv:2303.06865**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
7. [**Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022**Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.*2022 · 279 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-alpa-automating-inter-intra-operator/)
8. [**Learning to Optimize Tensor Programs arXiv:1805.08166**Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.*2019 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-learning-optimize-tensor-programs/)
9. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset arXiv:2309.11998**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
10. **[A Hardware–Software Blueprint for Flexible Deep Learning Specialization ↗](https://doi.org/10.1109/mm.2019.2928962) IEEE Micro · no summary yet**Thierry Moreau et al.*2019 · 184 citations*
11. [**AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023**Zhuohan Li, Lianmin Zheng, Yinmin Zhong, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-alpaserve-statistical-multiplexing-model-parallelism/)
12. **[MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence ↗](https://arxiv.org/abs/1712.00600) arXiv:1712.00600 · no summary yet**Lianmin Zheng et al.*2017 · 158 citations*
13. **[TensorIR: An Abstraction for Automatic Tensorized Program Optimization ↗](https://doi.org/10.1145/3575693.3576933) ASPLOS 2023 · no summary yet**Siyuan Feng et al.*2022 · 130 citations*
14. **[Ansor: Generating High-Performance Tensor Programs for Deep Learning ↗](https://arxiv.org/abs/2006.06762) arXiv:2006.06762 · no summary yet**Lianmin Zheng et al.*2020 · 130 citations*
15. [**H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models arXiv:2306.14048**Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-h-2-o-heavy-hitter/)
16. [**Rethinking Benchmark and Contamination for Language Models with Rephrased Samples arXiv:2311.04850**Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-rethinking-benchmark-contamination-language-models/)
17. [**S-LoRA: Serving Thousands of Concurrent LoRA Adapters MLSys 2024**Ying Sheng, Shiyi Cao, Dacheng Li, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-s-lora-serving-thousands-concurrent/)
18. **[A Unified Optimization Approach for CNN Model Inference on Integrated GPUs ↗](https://arxiv.org/abs/1907.02154) arXiv:1907.02154 · no summary yet**Leyuan Wang et al.*2019 · 42 citations*
19. **[Post-Training Sparse Attention with Double Sparsity ↗](https://arxiv.org/abs/2408.07092) arXiv:2408.07092 · no summary yet**Shuo Yang et al.*2024 · 29 citations*
20. **[ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ↗](https://arxiv.org/abs/2104.14129) arXiv (Cornell University) · no summary yet**Jianfei Chen et al.*2021 · 29 citations*
21. **[TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers ↗](https://openalex.org/W3207748736) neural information processing systems · no summary yet**Lianmin Zheng et al.*2021 · 25 citations*
22. **[On Optimizing the Communication of Model Parallelism ↗](https://arxiv.org/abs/2211.05322) arXiv (Cornell University) · no summary yet**Yonghao Zhuang et al.*2022 · 21 citations*
23. **[GACT: Activation Compressed Training for Generic Network Architectures ↗](https://arxiv.org/abs/2206.11357) arXiv (Cornell University) · no summary yet**Liu, Xiaoxuan et al.*2022 · 20 citations*
24. **[BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching ↗](https://arxiv.org/abs/2411.16102) arXiv (Cornell University) · no summary yet**Yilong Zhao et al.*2024 · 16 citations*
25. **[Size-to-depth: A New Perspective for Single Image Depth Estimation ↗](https://arxiv.org/abs/1801.04461) arXiv (Cornell University) · no summary yet**Yiran Wu, Sihao Ying, Lianmin Zheng*2018 · 16 citations*
26. **[On Optimal Caching and Model Multiplexing for Large Model Inference ↗](https://arxiv.org/abs/2306.02003) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2023 · 5 citations*
27. **[NumS: Scalable Array Programming for the Cloud ↗](https://arxiv.org/abs/2206.14276) arXiv:2206.14276 · no summary yet**Melih Elibol et al.*2022 · 3 citations*
28. **[Towards Optimal Caching and Model Selection for Large Model Inference ↗](https://doi.org/10.52202/075280-2577) neural information processing systems · no summary yet**Banghua Zhu et al.*2023 · 2 citations*
29. **[Simple and Automatic Distributed Machine Learning on Ray ↗](https://doi.org/10.1145/3447548.3470816) no summary yet**Hao Zhang et al.*2021 · 1 citation*
30. **[Rapid Mapping of Photocathode Quantum Efficiency: A Magnetized Electron Beam Imaging Approach ↗](https://arxiv.org/abs/2609.02070) arXiv (Cornell University) · no summary yet**Yihan Liu, Lianmin Zheng, Yingchao Du*2026*
31. **[Experiment Research on Feasibility of In-Situ Plasma Cleaning in Normal-conducting Copper Cavities ↗](https://arxiv.org/abs/2408.14386) arXiv (Cornell University) · no summary yet**Qianxu Xia, Lianmin Zheng, Yingchao Du*2024*
32. **[Thermal emittance mapping of a cesium telluride photocathode using microlens-arrays based laser pattern beam ↗](https://arxiv.org/abs/1906.08074) arXiv (Cornell University) · no summary yet**Lianmin Zheng et al.*2019*