--- title: "Hao Gu — author profile and papers — Elamur Research" description: "Hao Gu, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/hao-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hao-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hao Gu # Hao Gu Hao Gu has 2 papers in our library, in 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 [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/), [Yike Guo](https://md.research.elamur.ai/free/en/authors/yike-guo/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139830069) · [**h-index 0**](https://openalex.org/authors/A5139830069) · [5 works](https://openalex.org/works?filter=author.id:A5139830069) · [0 citations](https://openalex.org/works?filter=author.id:A5139830069&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hao-gu/#papers) · 🔗 Cited 6 times in our library · [⭐ Paper Stars ranking: #10396](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10396) 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=Hao+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hao+Gu) · [dblp](https://dblp.org/search?q=Hao+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Hao+Gu) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](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.[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/) · [Language models & pretraining · 1 work](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/hao-gu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-bit-bit-progressive-qat-strategy/)** *(2026 · 3 citations)* Quantization-aware training (QAT) of LLMs at extreme precisions, such as 2-bit weights and activations, often breaks down. 2. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/)** *(2026 · 3 citations)* Large reasoning models are usually post-trained by supervised fine-tuning followed by reinforcement learning (SFT-then-RL). ## Co-authors here 9 co-authors with a page, the most papers together first. - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2 - [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) ×2 - [Yike Guo](https://md.research.elamur.ai/free/en/authors/yike-guo/) ×2 - [Chao Li](https://md.research.elamur.ai/free/en/authors/chao-li/) - [Hongming Piao](https://md.research.elamur.ai/free/en/authors/hongming-piao/) - [Jiacheng Liu](https://md.research.elamur.ai/free/en/authors/jiacheng-liu/) - [Lujun Li](https://md.research.elamur.ai/free/en/authors/lujun-li/) - [Xiangyu Yue](https://md.research.elamur.ai/free/en/authors/xiangyu-yue/) - [Yuxiao Ye](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/) ## 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/) ×2 ## Cited by Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026