--- title: "Zhen Dong · Nanchang University — author profile and papers" description: "Zhen Dong, Nanchang University: 2 papers on Elamur Research (2023–2024), h-index 41 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zhen-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhen-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhen Dong # Zhen Dong Zhen Dong has 2 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 [Amir Gholami](https://md.research.elamur.ai/free/en/authors/amir-gholami/), [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/), [Coleman Hooper](https://md.research.elamur.ai/free/en/authors/coleman-hooper/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5070096266) · [ORCID](https://orcid.org/0000-0002-0152-3300) · [**h-index 41**](https://openalex.org/authors/A5070096266) · [216 works](https://openalex.org/works?filter=author.id:A5070096266) · [5,461 citations](https://openalex.org/works?filter=author.id:A5070096266&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-dong/#papers) · [🔗 Cited 228 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-dong/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5880](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5880) 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=Zhen+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhen+Dong) · [dblp](https://dblp.org/search?q=Zhen+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Zhen+Dong) ## Affiliations [🎓**Wuhan University** Wuhan · China 2013–2026 · 151 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🔬**State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing** Wuhan · China 2013–2026 · 123 papers*current*](https://ror.org/02bpap860) · [🎓**National University of Defense Technology** Changsha · China 2014–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Nanchang University** Nanchang · China 2026 · 1 paper*current*](https://ror.org/042v6xz23) · [🎓**Beijing Institute of Technology** Beijing · China 2011–2018 · 7 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🏛️**Ministry of Natural Resources** Beijing · China 2021–2024 · 5 papers](https://ror.org/02kxqx159) · [🎓**University of California, Berkeley** Berkeley · United States 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Nanjing University of Information Science and Technology** Nanjing · China 2021–2023 · 3 papers](https://ror.org/02y0rxk19) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2017–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**State Grid Corporation of China** Beijing · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [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/) · [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.[Efficient models & compression · 1 work](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/zhen-dong/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-dong/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SqueezeLLM: Dense-and-Sparse Quantization](https://md.research.elamur.ai/free/en/papers/kim-2023-squeezellm-dense-sparse-quantization/)** *(2023 · 170 citations)* Running large generative LLMs is costly because the weights are huge. For single-batch generation, the authors argue that speed is limited by memory bandwidth, the so-called Memory Wall, more than by arithmetic. Shrinking the weights should therefore cut latency directly. Earlier post-training quantization methods… 2. **[LLM Inference Unveiled: Survey and Roofline Model Insights](https://md.research.elamur.ai/free/en/papers/yuan-2024-llm-inference-unveiled-survey-roofline/)** *(2024 · 91 citations)* This survey targets a practical gap in research on efficient LLM inference. Many acceleration techniques exist, but there has been no unified way to reason about why they help on real hardware. The authors build their review around the Roofline model. It relates a workload's demands to a device's compute capacity and… ## All works 4 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. [**SqueezeLLM: Dense-and-Sparse Quantization arXiv:2306.07629**Sehoon Kim, Coleman Hooper, Amir Gholami, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-squeezellm-dense-sparse-quantization/) 2. **[RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations ↗](https://doi.org/10.1109/tpami.2023.3244951) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Haiping Wang et al.*2023 · 139 citations* 3. [**LLM Inference Unveiled: Survey and Roofline Model Insights arXiv 2024**Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2024-llm-inference-unveiled-survey-roofline/) 4. **[AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds ↗](https://doi.org/10.1109/iccv48922.2021.00606) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Runsong Zhu et al.*2021 · 58 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Amir Gholami](https://md.research.elamur.ai/free/en/authors/amir-gholami/) - [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/) - [Coleman Hooper](https://md.research.elamur.ai/free/en/authors/coleman-hooper/) - [Kurt Keutzer](https://md.research.elamur.ai/free/en/authors/kurt-keutzer/) - [Michael W. Mahoney](https://md.research.elamur.ai/free/en/authors/michael-w-mahoney/) - [Sehoon Kim](https://md.research.elamur.ai/free/en/authors/sehoon-kim/) - [Sheng Shen](https://md.research.elamur.ai/free/en/authors/sheng-shen/) - [Yang Zhou](https://md.research.elamur.ai/free/en/authors/yang-zhou/) - [Yong Jae Lee](https://md.research.elamur.ai/free/en/authors/yong-jae-lee/) - [Yuzhang Shang](https://md.research.elamur.ai/free/en/authors/yuzhang-shang/) - [Zhihang Yuan](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Transactions on Pattern Analysis and Machine Intelligence - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 228 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhen-dong/cited-by/). Updated 2 November 2026