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Yun Fu

Yun Fu has 4 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language, Reasoning; often with Yitian Zhang, Xuan Shen, Yifan Wang.

4 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 84 · 509 works · 31,480 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 150 times in our library · 21 more in our library without a page yet · ⭐ Paper Stars ranking: #11809

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

🎓Northeastern UniversityBoston · United States2012–2026 · 487 papersEmploymentcurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2006–2008 · 47 papersEducation🎓University at Buffalo, State University of New YorkBuffalo · United States2009–2012 · 29 papers🎓Northeastern UniversityShenyang · China2014–2026 · 15 papers🏢GTEStamford2008–2009 · 5 papers🎓University of Illinois SystemUrbana · United States2006–2008 · 5 papers🎓Xi'an Jiaotong UniversityXi'an · China2004–2005 · 3 papers🏢Adobe SystemsSan Jose · United States2017–2021 · 2 papers
🏛️University of Illinois at Urbana-ChampaignUrbana · United StatesEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksComputer Vision and Pattern Recognition · 4 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 4 worksVision & language · 2 worksEfficient models & compression · 1 workReasoning · 1 work

 Works by year

2020s

20264 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ACBQ: Adaptive Cross-Block Quantization of Large Language Models (2026)
    Post-training quantization (PTQ) lets large language models run with far less memory. However, existing methods rarely handle both 4-bit weight-and-activation quantization and 2-bit weight-only quantization well. The authors blame errors that build up as signals pass through many interdependent Transformer layers.
  2. From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation (2026)
    This survey covers an emerging area: driving pixel-level visual segmentation from natural-language instructions with language-based foundation models, namely LLMs (Large Language Models) together with their multimodal counterparts, LMMs (Large Multimodal Models).
  3. Towards Unified Multimodal Large Language Models: A survey (2026)
    Unified multimodal large language models (MLLMs) aim to both understand and generate text, images, audio and other modalities within one system.
  4. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning (2026)
    Large multimodal models (LMMs) perceive images well but often fail at multi-step reasoning grounded in visual evidence.

All works

25 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Large Scale Incremental Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYue Wu et al.2019 · 1,283 citations
  2. Visual Semantic Reasoning for Image-Text Matching ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKunpeng Li et al.2019 · 630 citations
  3. Rewrite the Stars ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXu Ma et al.2024 · 626 citations
  4. Multi-View Clustering via Deep Matrix Factorization ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHandong Zhao, Zhengming Ding, Yun Fu2017 · 504 citations
  5. Deep Sequential Context Networks for Action Prediction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYu Kong, Zhiqiang Tao, Yun Fu2017 · 169 citations
  6. Generative Multi-View Human Action Recognition ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetLichen Wang et al.2019 · 128 citations
  7. Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhengming Ding, Ming Shao, Yun Fu2017 · 127 citations
  8. Examples-Rules Guided Deep Neural Network for Makeup Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTaleb Alashkar et al.2017 · 118 citations
  9. Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSalma Abdel Magid et al.2021 · 117 citations
  10. Max-Margin Action Prediction Machine ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetYu Kong, Yun Fu2015 · 94 citations
  11. SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds ↗arXiv:2306.00980 · no summary yetYanyu Li et al.2023 · 90 citations
  12. Context Reasoning Attention Network for Image Super-Resolution ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYulun Zhang et al.2021 · 88 citations
  13. Families in the Wild (FIW) ↗ACM International Conference on Multimedia (ACM MM) · no summary yetJoseph P. Robinson et al.2016 · 83 citations
  14. Bilinear heterogeneous information machine for RGB-D action recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYu Kong, Yun Fu2015 · 81 citations
  15. Feature Selection Guided Auto-Encoder ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShuyang Wang, Zhengming Ding, Yun Fu2017 · 78 citations
  16. Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhengming Ding, Yun Fu2016 · 77 citations
  17. Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhiqiang Tao et al.2017 · 64 citations
  18. Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition ↗ACM International Conference on Multimedia (ACM MM) · no summary yetYue Wu et al.2016 · 63 citations
  19. UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗arXiv (Cornell University) · no summary yetCan Qin et al.2023 · 36 citations
  20. GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetCan Qin et al.2023 · 16 citations
  21. ACBQ: Adaptive Cross-Block Quantization of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hailing Wang, Jianglin Lu, Yitian Zhang, et al.2026
  22. From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.2026
  23. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026
  24. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal ReasoningFindings of the Association for Computational LinguisticsYifan Wang, Yun Fu2026
  25. NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhi Xu, Yun Fu2026

 Co-authors here

4 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 150 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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