--- title: "Yunhe Wang — author profile and papers — Elamur Research" description: "Yunhe Wang, Hebei University of Technology: 4 papers on Elamur Research (2023–2026), h-index 25 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yunhe-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yunhe-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yunhe Wang # Yunhe Wang Yunhe Wang has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yehui Tang](https://md.research.elamur.ai/free/en/authors/yehui-tang/), [Kai Han](https://md.research.elamur.ai/free/en/authors/kai-han/), [Fangcheng Liu](https://md.research.elamur.ai/free/en/authors/fangcheng-liu/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5100727355) · [ORCID](https://orcid.org/0000-0002-0013-4530) · [Wikidata](https://www.wikidata.org/wiki/Q92639817) · [**h-index 25**](https://openalex.org/authors/A5100727355) · [160 works](https://openalex.org/works?filter=author.id:A5100727355) · [2,258 citations](https://openalex.org/works?filter=author.id:A5100727355&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yunhe-wang/#papers) · [🔗 Cited 62 times in our library](https://md.research.elamur.ai/free/en/authors/yunhe-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7468](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7468) 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=Yunhe+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunhe+Wang) · [dblp](https://dblp.org/search?q=Yunhe+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yunhe+Wang) ## Affiliations [🎓**Hebei University of Technology** Tianjin · China 2021–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/universities/hebei-university-of-technology/) · [🎓**Wuhan University** Wuhan · China 2019–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**Northeast Normal University** Changchun · China 2016–2024 · 17 papers](https://md.research.elamur.ai/free/en/universities/northeast-normal-university/) · [🏢**Huawei Technologies** Shenzhen · China 2021–2025 · 16 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Jilin University** Changchun · China 2018–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**Taiyuan University of Technology** Taiyuan · China 2023–2025 · 11 papers](https://ror.org/03kv08d37) · [🎓**Jilin Agricultural University** Changchun · China 2016–2024 · 8 papers](https://ror.org/05dmhhd41) · [🎓**Henan Normal University** Xinxiang · China 2018–2024 · 7 papers](https://ror.org/00s13br28) · [🎓**Harbin Institute of Technology** Harbin · China 2018–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**China People's Public Security University** Beijing · China 2006–2007 · 4 papers](https://ror.org/05twya590) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 26 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yunhe-wang/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yunhe-wang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yunhe-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning](https://md.research.elamur.ai/free/en/papers/bi-2024-forest-thought-scaling-test-time/)** *(2024 · 43 citations)* Prompting schemes such as Chain-of-Thought and Tree-of-Thought usually follow one reasoning attempt to its end. 2. **[PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation](https://md.research.elamur.ai/free/en/papers/wang-2023-pangu-pi-enhancing-language/)** *(2023 · 10 citations)* Progress in large language models has mostly come from adding parameters and data. The design of the Transformer block itself gets little attention, even though large models are costly to run. The authors study LLaMA-style decoders and identify feature collapse: a rank metric shows token representations growing more… 3. **[PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language Models](https://md.research.elamur.ai/free/en/papers/tang-2024-pangu-pi-pro-rethinking/)** *(2024 · 8 citations)* On-device deployment needs small language models that still perform well. Most tiny models, however, simply reuse recipes designed for much larger LLMs, and few studies test which of those choices actually suit a ~1B-parameter model. The authors run a systematic set of ablations on a 1B LLaMA-style baseline, trained… 4. **[Multi-Granularity Semantic Revision for Large Language Model Distillation](https://md.research.elamur.ai/free/en/papers/liu-2026-multi-granularity-semantic-revision-large/)** *(2026 · 2 citations)* The paper addresses white-box knowledge distillation (KD) for auto-regressive LLMs, where a compact student learns from the full output distributions of a larger teacher. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations ↗](https://doi.org/10.1609/aaai.v36i4.20392) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhuohan Yu et al.*2022 · 110 citations* 2. [**Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning arXiv:2412.09078**Zhenni Bi, Kai Han, Chuanjian Liu, et al.*2024 · 43 citations*](https://md.research.elamur.ai/free/en/papers/bi-2024-forest-thought-scaling-test-time/) 3. [**PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation arXiv:2312.17276**Yunhe Wang, Hanting Chen, Yehui Tang, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pangu-pi-enhancing-language/) 4. [**PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language Models arXiv:2402.02791**Yehui Tang, Kai Han, Fangcheng Liu, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-pangu-pi-pro-rethinking/) 5. **[Multi-Granularity Semantic Revision for Large Language Model Distillation](https://md.research.elamur.ai/free/en/papers/liu-2026-multi-granularity-semantic-revision-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyu Liu, Yun Zhang, Wei Li, et al.*2026 · 2 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Yehui Tang](https://md.research.elamur.ai/free/en/authors/yehui-tang/) ×4 - [Kai Han](https://md.research.elamur.ai/free/en/authors/kai-han/) ×3 - [Fangcheng Liu](https://md.research.elamur.ai/free/en/authors/fangcheng-liu/) ×2 - [Hanting Chen](https://md.research.elamur.ai/free/en/authors/hanting-chen/) ×2 - [Zheyuan Bai](https://md.research.elamur.ai/free/en/authors/zheyuan-bai/) ×2 - [Tianyu Guo](https://md.research.elamur.ai/free/en/authors/tianyu-guo/) - [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/) - [Xiaoyu Liu](https://md.research.elamur.ai/free/en/authors/xiaoyu-liu/) - [Yun Wang](https://md.research.elamur.ai/free/en/authors/yun-wang/) - [Zhenni Bi](https://md.research.elamur.ai/free/en/authors/zhenni-bi/) - [Zhicheng Liu](https://md.research.elamur.ai/free/en/authors/zhicheng-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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yunhe-wang/cited-by/). Updated 1 November 2026