---
title: "Yun Fu · Northeastern University — author profile and papers"
description: "Yun Fu, Northeastern University: 4 papers on Elamur Research (2026), h-index 84 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/yun-fu/"
---
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# Yun Fu

Yun Fu has 4 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yitian Zhang](https://md.research.elamur.ai/free/en/authors/yitian-zhang/), [Xuan Shen](https://md.research.elamur.ai/free/en/authors/xuan-shen/), [Yifan Wang](https://md.research.elamur.ai/free/en/authors/yifan-wang/).

4 papers in our library · 2026

[OpenAlex](https://openalex.org/A5005819096) · [ORCID](https://orcid.org/0000-0002-5098-2853) · [Wikidata](https://www.wikidata.org/wiki/Q64960197) · [**h-index 84**](https://openalex.org/authors/A5005819096) · [509 works](https://openalex.org/works?filter=author.id:A5005819096) · [31,480 citations](https://openalex.org/works?filter=author.id:A5005819096&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yun-fu/#papers) · [🔗 Cited 150 times in our library](https://md.research.elamur.ai/free/en/authors/yun-fu/cited-by/) · [21 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11809](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11809)

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=Yun+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yun+Fu) · [dblp](https://dblp.org/search?q=Yun+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Yun+Fu)

## Affiliations

[🎓**Northeastern University** Boston · United States 2012–2026 · 487 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2006–2008 · 47 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University at Buffalo, State University of New York** Buffalo · United States 2009–2012 · 29 papers](https://md.research.elamur.ai/free/en/universities/university-at-buffalo-state-university-of-new-york/) · [🎓**Northeastern University** Shenyang · China 2014–2026 · 15 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🏢**GTE** Stamford 2008–2009 · 5 papers](https://ror.org/03ek3rf92) · [🎓**University of Illinois System** Urbana · United States 2006–2008 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-system/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2004–2005 · 3 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🏢**Adobe Systems** San Jose · United States 2017–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/)

🏛️**University of Illinois at Urbana-Champaign** Urbana · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) Education

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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 3 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yun-fu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ACBQ: Adaptive Cross-Block Quantization of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-acbq-adaptive-cross-block-quantization/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-words-pixels-comprehensive-survey-large/)** *(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](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/)** *(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 ↗](https://doi.org/10.1109/cvpr.2019.00046) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yue Wu et al.*2019 · 1,283 citations*
2. **[Visual Semantic Reasoning for Image-Text Matching ↗](https://doi.org/10.1109/iccv.2019.00475) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kunpeng Li et al.*2019 · 630 citations*
3. **[Rewrite the Stars ↗](https://doi.org/10.1109/cvpr52733.2024.00544) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xu Ma et al.*2024 · 626 citations*
4. **[Multi-View Clustering via Deep Matrix Factorization ↗](https://doi.org/10.1609/aaai.v31i1.10867) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Handong Zhao, Zhengming Ding, Yun Fu*2017 · 504 citations*
5. **[Deep Sequential Context Networks for Action Prediction ↗](https://doi.org/10.1109/cvpr.2017.390) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yu Kong, Zhiqiang Tao, Yun Fu*2017 · 169 citations*
6. **[Generative Multi-View Human Action Recognition ↗](https://doi.org/10.1109/iccv.2019.00631) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Lichen Wang et al.*2019 · 128 citations*
7. **[Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2017.636) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhengming Ding, Ming Shao, Yun Fu*2017 · 127 citations*
8. **[Examples-Rules Guided Deep Neural Network for Makeup Recommendation ↗](https://doi.org/10.1609/aaai.v31i1.10626) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Taleb Alashkar et al.*2017 · 118 citations*
9. **[Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution ↗](https://doi.org/10.1109/iccv48922.2021.00425) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Salma Abdel Magid et al.*2021 · 117 citations*
10. **[Max-Margin Action Prediction Machine ↗](https://doi.org/10.1109/tpami.2015.2491928) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Yu Kong, Yun Fu*2015 · 94 citations*
11. **[SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds ↗](https://arxiv.org/abs/2306.00980) arXiv:2306.00980 · no summary yet**Yanyu Li et al.*2023 · 90 citations*
12. **[Context Reasoning Attention Network for Image Super-Resolution ↗](https://doi.org/10.1109/iccv48922.2021.00424) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yulun Zhang et al.*2021 · 88 citations*
13. **[Families in the Wild (FIW) ↗](https://doi.org/10.1145/2964284.2967219) ACM International Conference on Multimedia (ACM MM) · no summary yet**Joseph P. Robinson et al.*2016 · 83 citations*
14. **[Bilinear heterogeneous information machine for RGB-D action recognition ↗](https://doi.org/10.1109/cvpr.2015.7298708) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yu Kong, Yun Fu*2015 · 81 citations*
15. **[Feature Selection Guided Auto-Encoder ↗](https://doi.org/10.1609/aaai.v31i1.10811) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shuyang Wang, Zhengming Ding, Yun Fu*2017 · 78 citations*
16. **[Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions ↗](https://doi.org/10.1609/aaai.v30i1.10148) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhengming Ding, Yun Fu*2016 · 77 citations*
17. **[Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity ↗](https://doi.org/10.1609/aaai.v31i1.11203) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhiqiang Tao et al.*2017 · 64 citations*
18. **[Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition ↗](https://doi.org/10.1145/2964284.2984060) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yue Wu et al.*2016 · 63 citations*
19. **[UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗](https://arxiv.org/abs/2305.11147) arXiv (Cornell University) · no summary yet**Can Qin et al.*2023 · 36 citations*
20. **[GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ↗](https://doi.org/10.1109/iccv51070.2023.02110) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Can Qin et al.*2023 · 16 citations*
21. **[ACBQ: Adaptive Cross-Block Quantization of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-acbq-adaptive-cross-block-quantization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hailing Wang, Jianglin Lu, Yitian Zhang, et al.*2026*
22. **[From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation](https://md.research.elamur.ai/free/en/papers/wang-2026-words-pixels-comprehensive-survey-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.*2026*
23. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*
24. **[UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Wang, Yun Fu*2026*
25. **[NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise ↗](https://aclanthology.org/2026.acl-long.1833/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhi Xu, Yun Fu*2026*

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Yitian Zhang](https://md.research.elamur.ai/free/en/authors/yitian-zhang/) ×2
- [Xuan Shen](https://md.research.elamur.ai/free/en/authors/xuan-shen/)
- [Yifan Wang](https://md.research.elamur.ai/free/en/authors/yifan-wang/)
- [Yizhou Wang](https://md.research.elamur.ai/free/en/authors/yizhou-wang/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×5
- IEEE/CVF International Conference on Computer Vision (ICCV) ×5
- Proceedings of the AAAI Conference on Artificial Intelligence ×5
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×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
- ACM International Conference on Multimedia (ACM MM) ×2
- IEEE Transactions on Pattern Analysis and Machine Intelligence

## 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 →](https://md.research.elamur.ai/free/en/authors/yun-fu/cited-by/).

Updated 1 November 2026