--- title: "Xiang Wan — author profile and papers — Elamur Research" description: "Xiang Wan, Shenzhen Research Institute of Big Data: 5 papers on Elamur Research (2020–2024), h-index 33 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/xiang-wan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiang-wan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiang Wan # Xiang Wan Xiang Wan has 5 papers in our library, in 2020–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Zhihong Chen](https://md.research.elamur.ai/free/en/authors/zhihong-chen/), [Guiming Hardy Chen](https://md.research.elamur.ai/free/en/authors/guiming-hardy-chen/), [Jianquan Li](https://md.research.elamur.ai/free/en/authors/jianquan-li/). 5 papers in our library · 2020–2024 [OpenAlex](https://openalex.org/A5030367905) · [ORCID](https://orcid.org/0000-0002-2324-6527) · [Wikidata](https://www.wikidata.org/wiki/Q131166070) · [**h-index 33**](https://openalex.org/authors/A5030367905) · [138 works](https://openalex.org/works?filter=author.id:A5030367905) · [21,370 citations](https://openalex.org/works?filter=author.id:A5030367905&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/xiang-wan/#papers) · [🔗 Cited 420 times in our library](https://md.research.elamur.ai/free/en/authors/xiang-wan/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1958](https://md.research.elamur.ai/free/en/paper-stars/page/20/#star-1958) 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=Xiang+Wan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiang+Wan) · [dblp](https://dblp.org/search?q=Xiang+Wan) · [ACL Anthology](https://aclanthology.org/search/?q=Xiang+Wan) ## Affiliations [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 2018–2026 · 161 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2020–2026 · 67 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Hong Kong Baptist University** Hong Kong · Hong Kong 2012–2017 · 23 papers](https://ror.org/0145fw131) · [🎓**Hong Kong University of Science and Technology** Hong Kong · Hong Kong 2008–2025 · 16 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**University of Alberta** Edmonton · Canada 2004–2007 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-alberta/) · [🎓**Chinese University of Hong Kong** Hong Kong · Hong Kong 2009–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Washington** Seattle · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Medicine · 3 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 3 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2024** 1 paper ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-allava-harnessing-gpt4v-synthesized-data/) · [**2023** 3 papers Xiang Wan's papers of 2023](https://md.research.elamur.ai/free/en/authors/xiang-wan/year/2023/) · [**2020** 1 paper Generating Radiology Reports via Memory-driven Transformer](https://md.research.elamur.ai/free/en/papers/chen-2020-generating-radiology-reports-memory-driven/) ## Papers The most cited first (OpenAlex and our library). 1. **[Generating Radiology Reports via Memory-driven Transformer](https://md.research.elamur.ai/free/en/papers/chen-2020-generating-radiology-reports-memory-driven/)** *(2020 · 710 citations)* Chest X-ray reports are long, multi-sentence texts. They usually contain a findings section and an impression section. Standard image captioning models are built for short scene descriptions and handle such reports poorly. Earlier retrieval- and template-based systems depend on large databases or hand-built template… 2. **[HuatuoGPT, Towards Taming Language Model to Be a Doctor](https://md.research.elamur.ai/free/en/papers/zhang-2023-huatuogpt-taming-language-model-be/)** *(2023 · 282 citations)* The paper tackles how to build a Chinese medical consultation model that is both clear for patients and clinically competent. 3. **[Phoenix: Democratizing ChatGPT across Languages](https://md.research.elamur.ai/free/en/papers/chen-2023-phoenix-democratizing-chatgpt-across-languages/)** *(2023 · 68 citations)* Open ChatGPT-style assistants released in early 2023 were mostly built for English, or English plus Chinese. 4. **[ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-allava-harnessing-gpt4v-synthesized-data/)** *(2024 · 60 citations)* Lite vision-language models of about 4B parameters are cheap to train and run, but they usually trail 7B/13B LVLMs. 5. **[CMB: A Comprehensive Medical Benchmark in Chinese](https://md.research.elamur.ai/free/en/papers/wang-2023-cmb-comprehensive-medical-benchmark/)** *(2023 · 54 citations)* Evaluating LLMs for medicine in China is hard because translated English benchmarks miss local practice, especially traditional Chinese medicine (TCM). The authors therefore built CMB, a medical benchmark created natively in Chinese. It has two parts: ## All works 8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Generating Radiology Reports via Memory-driven Transformer](https://md.research.elamur.ai/free/en/papers/chen-2020-generating-radiology-reports-memory-driven/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhihong Chen, Yan Song, Tsung-Hui Chang, et al.*2020 · 710 citations* 2. **[HuatuoGPT, Towards Taming Language Model to Be a Doctor](https://md.research.elamur.ai/free/en/papers/zhang-2023-huatuogpt-taming-language-model-be/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongbo Zhang, Junying Chen, Feng Jiang, et al.*2023 · 282 citations* 3. [**Phoenix: Democratizing ChatGPT across Languages arXiv:2304.10453**Zhihong Chen, Feng Jiang, Junying Chen, et al.*2023 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-phoenix-democratizing-chatgpt-across-languages/) 4. [**ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models arXiv:2402.11684**Guiming Hardy Chen, Shunian Chen, Ruifei Zhang, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-allava-harnessing-gpt4v-synthesized-data/) 5. [**CMB: A Comprehensive Medical Benchmark in Chinese arXiv:2308.08833**Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-cmb-comprehensive-medical-benchmark/) 6. **[Improving Grammatical Error Correction with Multimodal Feature Integration](https://aclanthology.org/2023.findings-acl.594/) Findings of the Association for Computational Linguistics: ACL 2023 · original ↗ · no summary yet**Tao Fang et al.*2023 · 25 citations* 7. **[Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs](https://aclanthology.org/2025.acl-long.92/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Zhuo Li et al.*2025 · 9 citations* 8. **[Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm](https://aclanthology.org/2025.emnlp-main.270/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yet**Zhuo Li et al.*2025 · 5 citations* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Zhihong Chen](https://md.research.elamur.ai/free/en/authors/zhihong-chen/) ×5 - [Guiming Hardy Chen](https://md.research.elamur.ai/free/en/authors/guiming-hardy-chen/) ×4 - [Jianquan Li](https://md.research.elamur.ai/free/en/authors/jianquan-li/) ×4 - [Zhiyi Zhang](https://md.research.elamur.ai/free/en/authors/zhiyi-zhang/) ×4 - [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/) ×3 - [Feng Jiang](https://md.research.elamur.ai/free/en/authors/feng-jiang/) ×3 - [Junying Chen](https://md.research.elamur.ai/free/en/authors/junying-chen/) ×3 - [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/) ×2 - [Hongbo Zhang](https://md.research.elamur.ai/free/en/authors/hongbo-zhang/) ×2 - [Qingying Xiao](https://md.research.elamur.ai/free/en/authors/qingying-xiao/) ×2 - [Xiangbo Wu](https://md.research.elamur.ai/free/en/authors/xiangbo-wu/) ×2 - [Chen Zhang](https://md.research.elamur.ai/free/en/authors/chen-zhang/) ## 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/) ×2: [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) - Findings of the Association for Computational Linguistics: ACL 2023 - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 420 times (of the 141,840 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiang-wan/cited-by/). Updated 24 October 2026