--- title: "Hongzhan Chen — author profile and papers in our library" description: "Hongzhan Chen: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hongzhan-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hongzhan-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hongzhan Chen # Hongzhan Chen Hongzhan Chen has 2 papers in our library, in 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 [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/), [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/), [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5020187551) · [**h-index 4**](https://openalex.org/authors/A5020187551) · [11 works](https://openalex.org/works?filter=author.id:A5020187551) · [71 citations](https://openalex.org/works?filter=author.id:A5020187551&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hongzhan-chen/#papers) · [🔗 Cited 45 times in our library](https://md.research.elamur.ai/free/en/authors/hongzhan-chen/cited-by/) · [⭐ Paper Stars ranking: #8444](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8444) 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=Hongzhan+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongzhan+Chen) · [dblp](https://dblp.org/search?q=Hongzhan+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Hongzhan+Chen) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2022–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏢**Alibaba Group** Hangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 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** 2 papers](https://md.research.elamur.ai/free/en/authors/hongzhan-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Small LLMs Are Weak Tool Learners: A Multi-LLM Agent](https://md.research.elamur.ai/free/en/papers/shen-2024-small-llms-are-weak-tool/)** *(2024 · 65 citations)* The paper tackles a weakness of compact open-source LLMs used as tool-using agents. A single small model struggles to plan, call tools correctly and summarize results all at once. The authors propose α-UMi, which splits these duties across three LLMs: 2. **[Knowledge Distillation of Black-Box Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-knowledge-distillation-black-box-large/)** *(2024 · 10 citations)* Proprietary LLMs such as GPT-4 can only be reached through APIs. This means distilling them into smaller open models usually reduces to fine-tuning on their generated text, and the teacher's token distributions and hidden states stay out of reach. The authors propose Proxy-KD, which places an open white-box LLM… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) ×2 - [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/) ×2 - [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/) ×2 - [Xiaojun Quan](https://md.research.elamur.ai/free/en/authors/xiaojun-quan/) ×2 - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Ruijun Chen](https://md.research.elamur.ai/free/en/authors/ruijun-chen/) - [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 45 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hongzhan-chen/cited-by/). Updated 30 October 2026