--- title: "Cong Wang · Peking University — author profile and papers" description: "Cong Wang, Peking University: 4 papers on Elamur Research (2022–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/cong-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cong-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cong Wang # Cong Wang Cong Wang has 4 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Qing Gu](https://md.research.elamur.ai/free/en/authors/qing-gu/), [Yafeng Yin](https://md.research.elamur.ai/free/en/authors/yafeng-yin/), [Zhiwei Jiang](https://md.research.elamur.ai/free/en/authors/zhiwei-jiang/). 4 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5139720486) · [**h-index 0**](https://openalex.org/authors/A5139720486) · [7 works](https://openalex.org/works?filter=author.id:A5139720486) · [0 citations](https://openalex.org/works?filter=author.id:A5139720486&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/cong-wang/#papers) · [🔗 Cited 98 times in our library](https://md.research.elamur.ai/free/en/authors/cong-wang/cited-by/) · [⭐ Paper Stars ranking: #7921](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7921) 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=Cong+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cong+Wang) · [dblp](https://dblp.org/search?q=Cong+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Cong+Wang) ## Affiliations [🎓**Nanjing University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Texas A&M University** College Station · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/cong-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/cong-wang/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/cong-wang/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Accelerating Distributed MoE Training and Inference with Lina](https://md.research.elamur.ai/free/en/papers/li-2022-accelerating-distributed-moe-training-inference/)** *(2022 · 92 citations)* Mixture-of-Experts (MoE) models keep per-token compute low by sending each token to only one or two expert FFNs. 2. **[Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering](https://md.research.elamur.ai/free/en/papers/cheng-2025-contrastive-prompting-enhances-sentence-embeddings/)** *(2025 · 8 citations)* Large language models can produce sentence embeddings without any training data or fine-tuning: a prompt wraps the sentence, and the hidden state of the final token serves as the vector. 3. **[AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM](https://md.research.elamur.ai/free/en/papers/yang-2026-aea-adaptive-expert-allocation-improves/)** *(2026)* The paper addresses training-free sentence embeddings taken directly from Mixture-of-Experts (MoE) LLMs. Earlier work, such as MoEE, keeps the same Top-K number of experts for every layer and every token. The authors show that this uniform budget wastes capacity. In DeepSeekMoE-16B and OLMoE-1B-7B, expert outputs are… 4. **[Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective](https://md.research.elamur.ai/free/en/papers/xu-2026-investigating-more-explainable-partition-free/)** *(2026)* LLM compositionality is usually measured with compositional generalization tests, which have two weaknesses. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Qing Gu](https://md.research.elamur.ai/free/en/authors/qing-gu/) ×2 - [Yafeng Yin](https://md.research.elamur.ai/free/en/authors/yafeng-yin/) ×2 - [Zhiwei Jiang](https://md.research.elamur.ai/free/en/authors/zhiwei-jiang/) ×2 - [Zifeng Cheng](https://md.research.elamur.ai/free/en/authors/zifeng-cheng/) ×2 - [Ao Zhou](https://md.research.elamur.ai/free/en/authors/ao-zhou/) - [Houfeng Wang](https://md.research.elamur.ai/free/en/authors/houfeng-wang/) - [Yibo Zhu](https://md.research.elamur.ai/free/en/authors/yibo-zhu/) - [Yuchen Fu](https://md.research.elamur.ai/free/en/authors/yuchen-fu/) - [Zhonghui Wang](https://md.research.elamur.ai/free/en/authors/zhonghui-wang/) - [Ziyao Xu](https://md.research.elamur.ai/free/en/authors/ziyao-xu/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/cong-wang/cited-by/). Updated 2 November 2026