---
title: "Jianbing Shen · University of Macau — author profile and papers"
description: "Jianbing Shen, University of Macau: 3 papers on Elamur Research (2026), h-index 65 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jianbing-shen/"
---
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# Jianbing Shen

Jianbing Shen has 3 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/); often with [Yucheng Zhou](https://md.research.elamur.ai/free/en/authors/yucheng-zhou/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5023184215) · [ORCID](https://orcid.org/0000-0003-2656-3082) · [Wikidata](https://www.wikidata.org/wiki/Q130876408) · [**h-index 65**](https://openalex.org/authors/A5023184215) · [187 works](https://openalex.org/works?filter=author.id:A5023184215) · [16,245 citations](https://openalex.org/works?filter=author.id:A5023184215&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jianbing-shen/#papers) · 🔗 Cited 47 times in our library · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12755](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12755)

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

## Affiliations

[🎓**University of Macau** Macao · China 2020–2026 · 128 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-macau/) · [🎓**Beijing Institute of Technology** Beijing · China 2008–2024 · 147 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🔬**Inception Institute of Artificial Intelligence** Abu Dhabi · United Arab Emirates 2018–2021 · 70 papers](https://md.research.elamur.ai/free/en/labs/inception-institute-of-artificial-intelligence/) · [🎓**Zhejiang University** Hangzhou · China 2005–2009 · 15 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Zhejiang University of Technology** Hangzhou · China 2002–2004 · 4 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university-of-technology/) · [🎓**ETH Zurich** Zurich · Switzerland 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**Indiana University – Purdue University Indianapolis** Indpls · United States 2008 · 3 papers](https://ror.org/05gxnyn08) · [🎓**Zhejiang Gongshang University** Hangzhou · China 2024 · 2 papers](https://ror.org/0569mkk41) · [🎓**University of California, Los Angeles** Los Angeles · United States 2018–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/)

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).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jianbing-shen/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Compatibility-Aware Dynamic Fine-Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-compatibility-aware-dynamic-fine-tuning/)** *(2026 · 1 citation)* Standard SFT of large language models tends to be unstable and to generalize poorly. The earlier Dynamic Fine-Tuning (DFT) method addresses this by correcting how gradients are scaled for individual tokens. However, DFT still treats every training demonstration as equally worth learning from. Real instruction…
2. **[Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity](https://md.research.elamur.ai/free/en/papers/zhou-2026-accelerating-training-autoregressive-video-generation/)** *(2026)* Autoregressive video generators predict long sequences of discrete VQ-VAE tokens, which makes training slow and costly.
3. **[Multimodal Large Language Models for Multi-Subject In-Context Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-multimodal-large-language-models-multi/)** *(2026)* Personalized text-to-image systems that must place several user-supplied subjects into one scene tend to break down as the number of references grows.

## All works

17 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Salient Object Detection With Pyramid Attention and Salient Edges ↗](https://doi.org/10.1109/cvpr.2019.00154) 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**Wenguan Wang et al.*2019 · 536 citations*
2. **[See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks ↗](https://doi.org/10.1109/cvpr.2019.00374) 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**Xiankai Lu et al.*2019 · 531 citations*
3. **[Saliency-aware geodesic video object segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298961) 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**Wenguan Wang, Jianbing Shen, Fatih Porikli*2015 · 530 citations*
4. **[Shifting More Attention to Video Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00875) 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**Deng-Ping Fan et al.*2019 · 521 citations*
5. **[Human-Aware Motion Deblurring ↗](https://doi.org/10.1109/iccv.2019.00567) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ziyi Shen et al.*2019 · 333 citations*
6. **[Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks ↗](https://doi.org/10.1109/iccv.2019.00933) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenguan Wang et al.*2019 · 304 citations*
7. **[An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00612) 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**Wenguan Wang et al.*2019 · 243 citations*
8. **[Learning Unsupervised Video Object Segmentation Through Visual Attention ↗](https://doi.org/10.1109/cvpr.2019.00318) 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**Wenguan Wang et al.*2019 · 238 citations*
9. **[Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation ↗](https://doi.org/10.1109/iccv48922.2021.01609) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xin Hao et al.*2021 · 217 citations*
10. **[Full-Duplex Strategy for Video Object Segmentation ↗](https://doi.org/10.1109/iccv48922.2021.00488) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ge-Peng Ji et al.*2021 · 132 citations*
11. **[Towards Bridging Semantic Gap to Improve Semantic Segmentation ↗](https://doi.org/10.1109/iccv.2019.00433) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yanwei Pang et al.*2019 · 129 citations*
12. **[Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks ↗](https://doi.org/10.1109/iccv.2019.00348) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Aamir Mustafa et al.*2019 · 128 citations*
13. **[Gaussian Affinity for Max-Margin Class Imbalanced Learning ↗](https://doi.org/10.1109/iccv.2019.00657) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Munawar Hayat et al.*2019 · 88 citations*
14. **[Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.00494) 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**Dongming Wu et al.*2022 · 61 citations*
15. **[Compatibility-Aware Dynamic Fine-Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-compatibility-aware-dynamic-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.*2026 · 1 citation*
16. **[Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity](https://md.research.elamur.ai/free/en/papers/zhou-2026-accelerating-training-autoregressive-video-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yucheng Zhou, Jianbing Shen*2026*
17. **[Multimodal Large Language Models for Multi-Subject In-Context Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-multimodal-large-language-models-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Zhou, Dubing Chen, Huan Zheng, et al.*2026*

## Co-authors here

1 co-author with a page, the most papers together first.

- [Yucheng Zhou](https://md.research.elamur.ai/free/en/authors/yucheng-zhou/) ×3

## 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 ×7
- IEEE/CVF International Conference on Computer Vision (ICCV) ×7
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 47 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026
