---
title: "Yilong Zhao — author profile and papers — Elamur Research"
description: "Yilong Zhao, First Affiliated Hospital of Xi'an Jiaotong University: 3 papers on Elamur Research (2023–2024), h-index 8 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yilong-zhao/"
---
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# Yilong Zhao

Yilong Zhao has 3 papers in our library, in 2023–2024, 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 [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/), [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/), [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5100297472) · [ORCID](https://orcid.org/0009-0004-0979-3550) · [**h-index 8**](https://openalex.org/authors/A5100297472) · [41 works](https://openalex.org/works?filter=author.id:A5100297472) · [195 citations](https://openalex.org/works?filter=author.id:A5100297472&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yilong-zhao/#papers) · [🔗 Cited 543 times in our library](https://md.research.elamur.ai/free/en/authors/yilong-zhao/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4588](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4588)

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=Yilong+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yilong+Zhao) · [dblp](https://dblp.org/search?q=Yilong+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Yilong+Zhao)

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏥**First Affiliated Hospital of Xi'an Jiaotong University** Xi'an · China 2025–2026 · 2 papers*current*](https://ror.org/02tbvhh96) · [🎓**Xi'an Jiaotong University** Xi'an · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Wuhan University** Wuhan · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Fudan University** Shanghai · China 2019–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Yanbian University** Yanji · China 2007–2009 · 3 papers](https://ror.org/039xnh269) · [🎓**Sun Yat-sen University** Guangzhou · China 2023–2025 · 2 papersEmployment since 2023 · School of Information Management](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🔬**Suzhou Institute of Biomedical Engineering and Technology** Suzhou · China 2021–2023 · 2 papers](https://ror.org/00f58mx93)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 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

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yilong-zhao/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yilong-zhao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/tang-2024-quest-query-aware-sparsity-efficient/)** *(2024 · 203 citations)* Generating text with very long contexts is slow because every new token requires reading the full KV cache from memory.
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. **[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.

## All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference arXiv:2406.10774**Jiaming Tang, Yilong Zhao, Kan Zhu, et al.*2024 · 203 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-quest-query-aware-sparsity-efficient/)
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. [**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/)
4. **[Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ↗](https://arxiv.org/abs/2502.01776) arXiv:2502.01776 · no summary yet**Haocheng Xi et al.*2025 · 56 citations*
5. **[Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation ↗](https://arxiv.org/abs/2505.18875) arXiv:2505.18875 · no summary yet**Shuo Yang et al.*2025 · 44 citations*
6. **[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*
7. **[An Extensible Software Transport Layer for GPU Networking ↗](https://arxiv.org/abs/2504.17307) arXiv:2504.17307 · no summary yet**Yang Zhou et al.*2025 · 10 citations*
8. **[BlendServe: Optimizing Offline Inference with Resource-Aware Batching ↗](https://doi.org/10.1145/3779212.3790133) ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yet**Yilong Zhao et al.*2026 · 2 citations*
9. **[LEANN: A Low-Storage Vector Index ↗](https://arxiv.org/abs/2506.08276) arXiv (Cornell University) · no summary yet**Yichuan Wang et al.*2025 · 2 citations*
10. **[Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding ↗](https://arxiv.org/abs/2512.01278) arXiv:2512.01278 · no summary yet**Yilong Zhao et al.*2025 · 2 citations*

## Co-authors here

10 co-authors with a page, the most papers together first.

- [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/) ×3
- [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/) ×2
- [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/) ×2
- [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/)
- [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/)
- [Jiaming Tang](https://md.research.elamur.ai/free/en/authors/jiaming-tang/)
- [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/)
- [Luis Ceze](https://md.research.elamur.ai/free/en/authors/luis-ceze/)
- [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/)
- [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
- MLSys 2024
- OSDI 2025

## Cited by

Papers of our library cite their works 543 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yilong-zhao/cited-by/).

Updated 2 November 2026
