--- title: "Jiahao Wang — author profile and papers — Elamur Research" description: "Jiahao Wang, Universiti Sains Malaysia: 5 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jiahao-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiahao-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiahao Wang # Jiahao Wang Jiahao Wang has 5 papers in our library, in 2025–2026, 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 [Ngai Wong](https://md.research.elamur.ai/free/en/authors/ngai-wong/), [Runming Yang](https://md.research.elamur.ai/free/en/authors/runming-yang/), [Taiqiang Wu](https://md.research.elamur.ai/free/en/authors/taiqiang-wu/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139845661) · [**h-index 0**](https://openalex.org/authors/A5139845661) · [3 works](https://openalex.org/works?filter=author.id:A5139845661) · [0 citations](https://openalex.org/works?filter=author.id:A5139845661&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/jiahao-wang/#papers) · [🔗 Cited 97 times in our library](https://md.research.elamur.ai/free/en/authors/jiahao-wang/cited-by/) · [⭐ Paper Stars ranking: #7332](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7332) 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=Jiahao+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiahao+Wang) · [dblp](https://dblp.org/search?q=Jiahao+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jiahao+Wang) ## Affiliations [🏢**Baidu** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Universiti Sains Malaysia** George Town · Malaysia 2026 · 1 paper*current*](https://ror.org/02rgb2k63) · [🎓**University of Hong Kong** Pok Fu Lam · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) 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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 4 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jiahao-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jiahao-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[EfficientQAT: Efficient Quantization-Aware Training for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-efficientqat-efficient-quantization-aware-training/)** *(2025 · 82 citations)* Quantization-aware training (QAT) can compress large language models to very low bit-widths with little accuracy loss. 2. **[Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-rethinking-kullback-leibler-divergence-knowledge/)** *(2025 · 47 citations)* Distilling large language models usually means training a student to match the teacher's next-token distribution with a Kullback-Leibler loss. 3. **[Revisiting Model Interpolation for Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-revisiting-model-interpolation-efficient-reasoning/)** *(2026 · 6 citations)* The paper looks at efficient reasoning: how to keep the accuracy of long chain-of-thought models while producing fewer tokens. 4. **[JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-jointcq-improving-factual-hallucination-detection/)** *(2026)* The paper targets factual hallucination detection in open-domain question answering. Retrieval-based checking pipelines usually split an answer into claims, write search queries, gather evidence and then verify each claim. The authors argue that the first two steps are weak: claims lose their context, and queries are… 5. **[Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2026-tree-cot-rt-explainable-multi/)** *(2026)* The paper addresses Aspect Sentiment Quad Prediction (ASQP), which extracts aspect, category, opinion and sentiment from a sentence. ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Ngai Wong](https://md.research.elamur.ai/free/en/authors/ngai-wong/) ×2 - [Runming Yang](https://md.research.elamur.ai/free/en/authors/runming-yang/) ×2 - [Taiqiang Wu](https://md.research.elamur.ai/free/en/authors/taiqiang-wu/) ×2 - [Chaofan Tao](https://md.research.elamur.ai/free/en/authors/chaofan-tao/) - [Fan Xu](https://md.research.elamur.ai/free/en/authors/fan-xu/) - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Huixuan Zhang](https://md.research.elamur.ai/free/en/authors/huixuan-zhang/) - [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/) - [Mengzhao Chen](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/) - [Peng Gao](https://md.research.elamur.ai/free/en/authors/peng-gao/) - [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ## Cited by Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiahao-wang/cited-by/). Updated 2 November 2026