--- title: "Zhaofeng He — author profile and papers — Elamur Research" description: "Zhaofeng He, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2026), h-index 9 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhaofeng-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhaofeng-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhaofeng He # Zhaofeng He Zhaofeng He 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Zhenbo Xu](https://md.research.elamur.ai/free/en/authors/zhenbo-xu/), [Zixuan Zhou](https://md.research.elamur.ai/free/en/authors/zixuan-zhou/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5057318866) · [ORCID](https://orcid.org/0000-0002-3433-8435) · [Wikidata](https://www.wikidata.org/wiki/Q131166903) · [**h-index 9**](https://openalex.org/authors/A5057318866) · [74 works](https://openalex.org/works?filter=author.id:A5057318866) · [464 citations](https://openalex.org/works?filter=author.id:A5057318866&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhaofeng-he/#papers) · [⭐ Paper Stars ranking: #14115](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14115) 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=Zhaofeng+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhaofeng+He) · [dblp](https://dblp.org/search?q=Zhaofeng+He) · [ACL Anthology](https://aclanthology.org/search/?q=Zhaofeng+He) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2022–2026 · 69 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [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/zhaofeng-he/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-safety-alignment-sae-constructed/)** *(2026)* LoRA-based safety tuning usually falls short of full fine-tuning and RL-based alignment, even though earlier work suggests that LLM safety behavior lives in low-rank structures. 2. **[SCVQ: Sparse-Compensated Vector Quantization for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-scvq-sparse-compensated-vector-quantization/)** *(2026)* Vector quantization (VQ) compresses LLM weights well at very low bit-widths, but it is slow in practice. Large codebooks and frequent table lookups consume memory bandwidth, and implicit-codebook alternatives depend on costly transforms such as Hadamard rotations. The authors propose SCVQ, a post-training… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Zhenbo Xu](https://md.research.elamur.ai/free/en/authors/zhenbo-xu/) ×2 - [Zixuan Zhou](https://md.research.elamur.ai/free/en/authors/zixuan-zhou/) ## 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 Updated 2 November 2026