--- title: "Zhekai Zhang — author profile and papers — Elamur Research" description: "Zhekai Zhang, Nvidia: 3 papers on Elamur Research (2019–2024), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhekai-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhekai-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhekai Zhang # Zhekai Zhang Zhekai Zhang has 3 papers in our library, in 2019–2024, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/), [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/), [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/). 3 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5065492534) · [ORCID](https://orcid.org/0000-0002-9777-3792) · [**h-index 12**](https://openalex.org/authors/A5065492534) · [58 works](https://openalex.org/works?filter=author.id:A5065492534) · [1,159 citations](https://openalex.org/works?filter=author.id:A5065492534&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/#papers) · [🔗 Cited 392 times in our library](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/cited-by/) · [⭐ Paper Stars ranking: #2897](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2897) 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=Zhekai+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhekai+Zhang) · [dblp](https://dblp.org/search?q=Zhekai+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhekai+Zhang) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2019–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Audencia Business School** Nantes · France 2025Employment since 2025 · Assistant Professor](https://ror.org/000axn811) · [🎓**Shenzhen University** Shenzhen · China 2025Employment since 2025 · Assistant Professor, Shenzhen Audencia Financial Technology Institute](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 1 work](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/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/year/2024/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/year/2020/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning](https://md.research.elamur.ai/free/en/papers/wang-2020-spatten-efficient-sparse-attention-architecture/)** *(2020 · 534 citations)* Attention-based NLP models such as BERT and GPT-2 run slowly on CPUs and GPUs. The cost grows quadratically with input length, much of the time goes to moving data rather than arithmetic, and existing accelerators were built for CNNs and RNNs. SpAtten (HPCA 2021) is an algorithm-hardware co-design that cuts both… 2. **[Once-for-All: Train One Network and Specialize it for Efficient Deployment](https://md.research.elamur.ai/free/en/papers/cai-2019-once-all-train-one-network/)** *(2019 · 252 citations)* Deploying neural networks across many devices (phones, CPUs, GPUs, FPGAs, microcontrollers) and latency budgets usually means designing or searching a new architecture and training it from scratch for each target, so the cost grows with every new scenario. 3. **[QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving](https://md.research.elamur.ai/free/en/papers/lin-2024-qserve-w4a8kv4-quantization-system-co/)** *(2024 · 120 citations)* Low-bit integer quantization promises faster LLM inference, but INT4 approaches have mostly helped small-batch edge scenarios. ## Co-authors here 7 co-authors with a page, the most papers together first. - [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) ×3 - [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/) ×2 - [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/) - [Han Cai](https://md.research.elamur.ai/free/en/authors/han-cai/) - [Hanrui Wang](https://md.research.elamur.ai/free/en/authors/hanrui-wang/) - [Haotian Tang](https://md.research.elamur.ai/free/en/authors/haotian-tang/) - [Shang Yang](https://md.research.elamur.ai/free/en/authors/shang-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/): [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2020](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2020/) - MLSys 2025 ## Cited by Papers of our library cite their works 392 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/cited-by/). Updated 2 November 2026