--- title: "Linfeng Zhang · Tianjin University — author profile and papers" description: "Linfeng Zhang, Tianjin University: 5 papers on Elamur Research (2025–2026), h-index 52 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/linfeng-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/linfeng-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Linfeng Zhang # Linfeng Zhang Linfeng Zhang has 5 papers in our library, in 2025–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [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/); often with [Shaobo Wang](https://md.research.elamur.ai/free/en/authors/shaobo-wang/), [Zichen Wen](https://md.research.elamur.ai/free/en/authors/zichen-wen/), [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100689117) · [ORCID](https://orcid.org/0000-0002-8470-5846) · [Wikidata](https://www.wikidata.org/wiki/Q85225308) · [**h-index 52**](https://openalex.org/authors/A5100689117) · [342 works](https://openalex.org/works?filter=author.id:A5100689117) · [16,157 citations](https://openalex.org/works?filter=author.id:A5100689117&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8581](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8581) 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=Linfeng+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Linfeng+Zhang) · [dblp](https://dblp.org/search?q=Linfeng+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Linfeng+Zhang) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Jilin University** Changchun · China 2017–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**Wuhan Institute of Technology** Wuhan · China 2025–2026 · 5 papers*current*](https://ror.org/04jcykh16) · [🎓**Sichuan University** Chengdu · China 2011–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🔬**State Key Laboratory of Proteomics** Beijing 2026 · 1 paper*current*](https://ror.org/019bev041) · [🎓**Tianjin University** Tianjin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Princeton University** Princeton · United States 2016–2025 · 39 papersEducation since 2016 · PHD candidate, PACM](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**University of Bridgeport** Bridgeport · United States 2008–2025 · 13 papers](https://ror.org/01rf3yp57) · [🎓**Peking University** Beijing · China 2016–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Southern University of Science and Technology** Shenzhen · China 2020–2023 · 11 papers](https://md.research.elamur.ai/free/en/universities/southern-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. 47 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 3 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More](https://md.research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/)** *(2025 · 44 citations)* Vision tokens make up most of the input to multimodal LLMs, which makes inference expensive. Most training-free pruning methods score each token's "importance" from attention maps and drop the low scorers. The authors argue this approach has four weaknesses. It treats scores as fixed even after other tokens are… 2. **[Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-video-compression-commander-plug-play/)** *(2025 · 16 citations)* Video large language models must process very long sequences of visual tokens, because every sampled frame adds hundreds of them. 3. **[LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint](https://md.research.elamur.ai/free/en/papers/ma-2025-led-merging-mitigating-safety-utility/)** *(2025 · 5 citations)* Combining several fine-tuned LLMs into one through training-free model merging tends to weaken safety. The merged model gains skills such as math or coding but becomes more willing to produce harmful output. The authors trace this to two causes. First, existing methods pick neurons by parameter magnitude, which… 4. **[StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/)** *(2026 · 3 citations)* Agent-based streaming video systems like M3-Agent store what they observe as a memory graph. Text nodes describe visual content, and face and voice nodes represent entities. As videos get longer, the number of text nodes grows sharply, and retrieval latency becomes too high for real-time question answering. 5. **[MelTrim: Coarse-to-Fine Data Pruning for Speech Classification](https://md.research.elamur.ai/free/en/papers/wang-2026-meltrim-coarse-fine-data-pruning/)** *(2026)* Data pruning, which means selecting a small coreset that trains models nearly as well as the full dataset, has been studied mostly for images and text. ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More](https://md.research.elamur.ai/free/en/papers/wen-2025-stop-looking-important-tokens-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zichen Wen, Yifeng Gao, Shaobo Wang, et al.*2025 · 44 citations* 2. **[Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-video-compression-commander-plug-play/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuyang Liu, Yiyu Wang, Junpeng Ma, et al.*2025 · 16 citations* 3. **[SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam? ↗](https://arxiv.org/abs/2507.05241) arXiv:2507.05241 · no summary yet**Jingyi Chai et al.*2025 · 13 citations* 4. **[LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint](https://md.research.elamur.ai/free/en/papers/ma-2025-led-merging-mitigating-safety-utility/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Ma, Dongrui Liu, Qian Chen, et al.*2025 · 5 citations* 5. **[StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junxi Wang, Te Sun, Jiayi Zhu, et al.*2026 · 3 citations* 6. **[MelTrim: Coarse-to-Fine Data Pruning for Speech Classification](https://md.research.elamur.ai/free/en/papers/wang-2026-meltrim-coarse-fine-data-pruning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaobo Wang, Tianle Niu, Xuan Ouyang, et al.*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Shaobo Wang](https://md.research.elamur.ai/free/en/authors/shaobo-wang/) ×2 - [Zichen Wen](https://md.research.elamur.ai/free/en/authors/zichen-wen/) ×2 - [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/) - [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/) - [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/) - [Junpeng Ma](https://md.research.elamur.ai/free/en/authors/junpeng-ma/) - [Junxian Li](https://md.research.elamur.ai/free/en/authors/junxian-li/) - [Qian Chen](https://md.research.elamur.ai/free/en/authors/qian-chen/) - [Qianli Ma](https://md.research.elamur.ai/free/en/authors/qianli-ma/) - [Qintong Zhang](https://md.research.elamur.ai/free/en/authors/qintong-zhang/) - [Weijia Li](https://md.research.elamur.ai/free/en/authors/weijia-li/) - [Xintong Li](https://md.research.elamur.ai/free/en/authors/xintong-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 - [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 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/cited-by/). Updated 2 November 2026