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Linfeng Zhang

Linfeng Zhang has 5 papers in our library, in 2025–2026, most of them on Efficient models & compression, Language models & pretraining, Bias, fairness & safety; often with Shaobo Wang, Zichen Wen, Conghui He.

5 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 52 · 342 works · 16,157 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 49 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7370

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2024–2026 · 20 paperscurrent🎓Jilin UniversityChangchun · China2017–2026 · 8 paperscurrent🎓Wuhan Institute of TechnologyWuhan · China2025–2026 · 5 paperscurrent🎓Sichuan UniversityChengdu · China2011–2026 · 3 paperscurrent🔬State Key Laboratory of ProteomicsBeijing2026 · 1 papercurrent🎓Tianjin UniversityTianjin · China2026 · 1 papercurrent🎓Princeton UniversityPrinceton · United States2016–2025 · 39 papersEducation since 2016 · PHD candidate, PACM🎓University of BridgeportBridgeport · United States2008–2025 · 13 papers🎓Peking UniversityBeijing · China2016–2025 · 12 papers🎓Southern University of Science and TechnologyShenzhen · China2020–2023 · 11 papers

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksComputer Vision and Pattern Recognition · 3 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 3 worksVision & language · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20262 papers20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More (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 (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 (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 (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 (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 MoreConference on Empirical Methods in Natural Language Processing (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 ModelsConference on Empirical Methods in Natural Language Processing (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? ↗arXiv:2507.05241 · no summary yetJingyi Chai et al.2025 · 13 citations
  4. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
  5. StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video UnderstandingFindings of the Association for Computational LinguisticsJunxi Wang, Te Sun, Jiayi Zhu, et al.2026 · 3 citations
  6. MelTrim: Coarse-to-Fine Data Pruning for Speech ClassificationFindings of the Association for Computational LinguisticsShaobo Wang, Tianle Niu, Xuan Ouyang, et al.2026

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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