--- title: "Zihao Ye · Zhejiang A & F University — author profile and papers" description: "Zihao Ye, Zhejiang A & F University: 5 papers on Elamur Research (2023–2025), h-index 17 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zihao-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zihao-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zihao Ye # Zihao Ye Zihao Ye has 5 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/), [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/), [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/). 5 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5101740226) · [ORCID](https://orcid.org/0000-0002-6450-8108) · [Wikidata](https://www.wikidata.org/wiki/Q140835624) · [**h-index 17**](https://openalex.org/authors/A5101740226) · [57 works](https://openalex.org/works?filter=author.id:A5101740226) · [2,033 citations](https://openalex.org/works?filter=author.id:A5101740226&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/zihao-ye/#papers) · [🔗 Cited 574 times in our library](https://md.research.elamur.ai/free/en/authors/zihao-ye/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3977](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3977) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zihao+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zihao+Ye) · [dblp](https://dblp.org/search?q=Zihao+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Zihao+Ye) ## Affiliations [🎓**Fujian Agriculture and Forestry University** Fuzhou · China 2023–2026 · 5 papers*current*](https://ror.org/04kx2sy84) · [🎓**Zhejiang A & F University** Lin’an Shi · China 2022–2026 · 3 papers*current*](https://ror.org/02vj4rn06) · [🎓**Yantai University** Yantai · China 2026 · 1 paper*current*](https://ror.org/01rp41m56) · [🎓**University of Washington** Seattle · United States 2021–2025 · 6 papersEducation 2021–2025 · PhD student, Paul G. Allen School of Computer Science & EngineeringEmployment since 2021 · Research Assistant, Paul G. Allen School of Computer Science & Engineering](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Hainan Normal University** Haikou · China 2020–2024 · 6 papers](https://ror.org/031dhcv14) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2019–2020 · 3 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Shenzhen University** Shenzhen · China 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**South China Agricultural University** Guangzhou · China 2023–2024 · 2 papers](https://ror.org/05v9jqt67) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zihao-ye/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zihao-ye/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/zihao-ye/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving](https://md.research.elamur.ai/free/en/papers/ye-2025-flashinfer-efficient-customizable-attention-engine/)** *(2025 · 177 citations)* FlashInfer is an attention engine for LLM inference serving. It targets two problems: serving workloads keep changing, and attention variants and GPU architectures differ widely. Today each serving system ships its own narrow attention kernels, which is costly to maintain. FlashInfer replaces them with one… 2. **[Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/)** *(2023 · 156 citations)* LLM serving relies on batching to keep GPUs busy, and quantization can further reduce memory use and compute cost. 3. **[Punica: Multi-Tenant LoRA Serving](https://md.research.elamur.ai/free/en/papers/chen-2023-punica-multi-tenant-lora-serving/)** *(2023 · 81 citations)* Organisations that fine-tune one base LLM with LoRA for many tenants usually end up running each adapter as a separate model. 4. **[NanoFlow: Towards Optimal Large Language Model Serving Throughput](https://md.research.elamur.ai/free/en/papers/zhu-2024-nanoflow-optimal-large-language-model/)** *(2024 · 80 citations)* LLM serving is usually assumed to be limited by memory bandwidth, because every generated token requires reading the model weights and the KV-cache. 5. **[MagicPIG: LSH Sampling for Efficient LLM Generation](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/)** *(2024 · 68 citations)* Serving long-context LLMs is constrained by the KV cache. It consumes GPU memory and makes decoding memory-bound. Many speedups keep only the highest-scoring keys (TopK attention). The authors show this is a biased estimator that breaks down when attention is spread out, as in aggregation tasks like common- or… ## All works 7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving MLSys 2025**Zihao Ye, Lequn Chen, Ruihang Lai, et al.*2025 · 177 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-flashinfer-efficient-customizable-attention-engine/) 2. [**Atom: Low-bit Quantization for Efficient and Accurate LLM Serving MLSys 2024**Yilong Zhao, Chien-Yu Lin, Kan Zhu, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/) 3. **[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* 4. **[DGL-KE ↗](https://doi.org/10.1145/3397271.3401172) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Da Zheng et al.*2020 · 128 citations* 5. [**Punica: Multi-Tenant LoRA Serving MLSys 2024**Lequn Chen, Zihao Ye, Yongji Wu, et al.*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-punica-multi-tenant-lora-serving/) 6. [**NanoFlow: Towards Optimal Large Language Model Serving Throughput OSDI 2025**Kan Zhu, Yufei Gao, Yilong Zhao, et al.*2024 · 80 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-nanoflow-optimal-large-language-model/) 7. [**MagicPIG: LSH Sampling for Efficient LLM Generation arXiv:2410.16179**Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/) ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/) ×3 - [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/) ×3 - [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/) ×2 - [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/) ×2 - [Luis Ceze](https://md.research.elamur.ai/free/en/authors/luis-ceze/) ×2 - [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/) ×2 - [Yilong Zhao](https://md.research.elamur.ai/free/en/authors/yilong-zhao/) ×2 - [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/) - [Danyang Zhuo](https://md.research.elamur.ai/free/en/authors/danyang-zhuo/) - [Leon Bottou](https://md.research.elamur.ai/free/en/authors/leon-bottou/) - [Matthijs Douze](https://md.research.elamur.ai/free/en/authors/matthijs-douze/) - [Yang Zhou](https://md.research.elamur.ai/free/en/authors/yang-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - MLSys 2024 ×3 - ASPLOS 2023 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) - OSDI 2025 ## Cited by Papers of our library cite their works 574 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zihao-ye/cited-by/). Updated 2 November 2026