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 5Computer Science · 4 works Artificial Intelligence · 4 works Arts and Humanities · 3 works Language and Linguistics · 3 works Computer Vision and Pattern Recognition · 2 works

🧭 Topics 3Language models & pretraining · 4 works Reasoning · 1 work Efficient models & compression · 1 work

Works by year

2020s

20261 paper 20242 papers 20231 paper

Papers

The most cited first (OpenAlex and our library).

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning (2024 · 43 citations)
Prompting schemes such as Chain-of-Thought and Tree-of-Thought usually follow one reasoning attempt to its end.
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation (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…
PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language Models (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…
Multi-Granularity Semantic Revision for Large Language Model Distillation (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.

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhuohan Yu et al.2022 · 110 citations
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM ReasoningarXiv:2412.09078Zhenni Bi, Kai Han, Chuanjian Liu, et al.2024 · 43 citations
PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
Multi-Granularity Semantic Revision for Large Language Model DistillationAnnual Meeting of the Association for Computational Linguistics (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.

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): 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 →.

Updated 1 November 2026

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🧑‍🔬 Yunhe Wang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Yunhe Wang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by