--- title: "Ligeng Zhu — author profile and papers — Elamur Research" description: "Ligeng Zhu: 2 papers on Elamur Research (2018–2020), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ligeng-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ligeng-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ligeng Zhu # Ligeng Zhu Ligeng Zhu has 2 papers in our library, in 2018–2020, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Han Cai](https://md.research.elamur.ai/free/en/authors/han-cai/), [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/), [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/). 2 papers in our library · 2018–2020 [OpenAlex](https://openalex.org/A5102302662) · [**h-index 16**](https://openalex.org/authors/A5102302662) · [39 works](https://openalex.org/works?filter=author.id:A5102302662) · [2,823 citations](https://openalex.org/works?filter=author.id:A5102302662&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ligeng-zhu/#papers) · [🔗 Cited 364 times in our library](https://md.research.elamur.ai/free/en/authors/ligeng-zhu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3215](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3215) 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=Ligeng+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ligeng+Zhu) · [dblp](https://dblp.org/search?q=Ligeng+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Ligeng+Zhu) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2025 · 15 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Nvidia** Santa Clara · United States 2024–2026 · 7 papers](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2024–2026 · 5 papers](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**Simon Fraser University** Burnaby · Canada 2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/simon-fraser-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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[GPU & parallel computing · 2 works](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/ligeng-zhu/year/2020/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/ligeng-zhu/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware](https://md.research.elamur.ai/free/en/papers/cai-2018-proxylessnas-direct-neural-architecture-search/)** *(2018 · 479 citations)* Neural architecture search typically costs thousands of GPU hours. Differentiable variants such as DARTS and One-Shot are cheaper, but they keep the activations of every candidate operation in memory, so memory grows with the number of choices. As a result, earlier methods search on cheaper stand-ins, such as smaller… 2. **[HAT: Hardware-Aware Transformers for Efficient Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/)** *(2020 · 294 citations)* Transformer models for machine translation are too slow on constrained devices. For example, Transformer-Big needs about 13G FLOPs and roughly 20 seconds on a Raspberry Pi to translate a 30-word sentence. The authors make two observations: FLOPs poorly predict real latency, and the architecture that runs fastest… ## All works 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware arXiv:1812.00332**Han Cai, Ligeng Zhu, Song Han*2018 · 479 citations*](https://md.research.elamur.ai/free/en/papers/cai-2018-proxylessnas-direct-neural-architecture-search/) 2. **[HAT: Hardware-Aware Transformers for Efficient Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.*2020 · 294 citations* 3. **[NVILA: Efficient Frontier Visual Language Models ↗](https://doi.org/10.1109/cvpr52734.2025.00390) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhijian Liu et al.*2025 · 73 citations* 4. **[LongVILA: Scaling Long-Context Visual Language Models for Long Videos ↗](https://arxiv.org/abs/2408.10188) arXiv:2408.10188 · no summary yet**Yukang Chen et al.*2024 · 49 citations* 5. **[Wolf: Dense Video Captioning with a World Summarization Framework ↗](https://arxiv.org/abs/2407.18908) arXiv (Cornell University) · no summary yet**Boyi Li et al.*2024 · 6 citations* 6. **[FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos ↗](https://arxiv.org/abs/2512.10927) arXiv (Cornell University) · no summary yet**Gan, Yulu et al.*2025 · 1 citation* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Han Cai](https://md.research.elamur.ai/free/en/authors/han-cai/) ×2 - [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) ×2 - [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/) - [Hanrui Wang](https://md.research.elamur.ai/free/en/authors/hanrui-wang/) - [Zhanghao Wu](https://md.research.elamur.ai/free/en/authors/zhanghao-wu/) - [Zhijian Liu](https://md.research.elamur.ai/free/en/authors/zhijian-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ## Cited by Papers of our library cite their works 364 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ligeng-zhu/cited-by/). Updated 2 November 2026