--- title: "Conghui Zhu — author profile and papers — Elamur Research" description: "Conghui Zhu, Harbin Institute of Technology: 2 papers on Elamur Research (2025), h-index 13 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/conghui-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/conghui-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Conghui Zhu # Conghui Zhu Conghui Zhu has 2 papers in our library, in 2025, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Muyun Yang](https://md.research.elamur.ai/free/en/authors/muyun-yang/), [Tiejun Zhao](https://md.research.elamur.ai/free/en/authors/tiejun-zhao/), [Bing Xu](https://md.research.elamur.ai/free/en/authors/bing-xu/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5102790470) · [ORCID](https://orcid.org/0000-0003-3132-3059) · [**h-index 13**](https://openalex.org/authors/A5102790470) · [80 works](https://openalex.org/works?filter=author.id:A5102790470) · [619 citations](https://openalex.org/works?filter=author.id:A5102790470&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/conghui-zhu/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/conghui-zhu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9358](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9358) 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=Conghui+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Conghui+Zhu) · [dblp](https://dblp.org/search?q=Conghui+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Conghui+Zhu) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2009–2026 · 54 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Beihang University** Beijing · China 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Zhejiang Wanli University** Ningbo · China 2022 · 2 papers](https://ror.org/00rjdhd62) · [🏢**Baidu** Beijing · China 2013–2014 · 2 papers](https://md.research.elamur.ai/free/en/companies/baidu/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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).[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 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/conghui-zhu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation](https://md.research.elamur.ai/free/en/papers/zhou-2025-lora-drop-efficient-lora-parameter/)** *(2025 · 12 citations)* LoRA lowers the cost of fine-tuning. For billion-parameter models, though, its trainable weights still need considerable compute. Storage also adds up when providers keep a separate adapter for each user. Earlier pruning methods (Sparse Adapter, AdaLoRA, SoRA) rank adapter importance using only properties of the… 2. **[MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training](https://md.research.elamur.ai/free/en/papers/huang-2025-musc-improving-complex-instruction-following/)** *(2025 · 4 citations)* Large language models often fail on instructions that combine many constraints, frequently dropping some of them. ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection ↗](https://aclanthology.org/2022.findings-naacl.175/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Zhen Li et al.*2022 · 128 citations* 2. **[Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ↗](https://aclanthology.org/2020.acl-main.380/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Guanhua Zhang et al.*2020 · 81 citations* 3. **[LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation](https://md.research.elamur.ai/free/en/papers/zhou-2025-lora-drop-efficient-lora-parameter/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hongyun Zhou, Xiangyu Lu, Wang Xu, et al.*2025 · 12 citations* 4. **[MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training](https://md.research.elamur.ai/free/en/papers/huang-2025-musc-improving-complex-instruction-following/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Huang, Jiaheng Liu, Yancheng He, et al.*2025 · 4 citations* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Muyun Yang](https://md.research.elamur.ai/free/en/authors/muyun-yang/) ×2 - [Tiejun Zhao](https://md.research.elamur.ai/free/en/authors/tiejun-zhao/) ×2 - [Bing Xu](https://md.research.elamur.ai/free/en/authors/bing-xu/) - [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Shilong Li](https://md.research.elamur.ai/free/en/authors/shilong-li/) - [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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/) - Findings of the Association for Computational Linguistics: NAACL 2022 ## Cited by Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/conghui-zhu/cited-by/). Updated 31 October 2026