🧑‍🔬 Yu-Gang Jiang

🏛️ Affiliations

🎓Fudan UniversityShanghai · China2004–2026 · 400 papersEmploymentcurrent🎓City University of Hong KongHong Kong · China2006–2011 · 16 papersEducation🏢Jilian Technology GroupShanghai · China2019 · 13 papers🎓Columbia UniversityNew York · United States2009–2011 · 11 papers🎓Beijing Normal UniversityBeijing · China2004–2006 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders (2024 · 63 citations)
   Sparse Autoencoders (SAEs) are a leading unsupervised tool for splitting language-model activations into sparse, interpretable features.
2. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models (2026)
   Video Large Language Models (Vid-LLMs) do well on video QA, but it is unclear how stable their answers are when a user pushes back.

All works

18 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. CNN-Based Chinese NER with Lexicon Rethinking ↗International Joint Conference on Artificial Intelligence · no summary yetTao Gui et al.2019 · 297 citations
2. AdaViT: Adaptive Vision Transformers for Efficient Image 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 yetLingchen Meng et al.2022 · 271 citations
3. BEVT: BERT Pretraining of Video Transformers ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRui Wang et al.2022 · 239 citations
4. Balanced Contrastive Learning for Long-Tailed Visual 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 yetJianggang Zhu et al.2022 · 238 citations
5. ObjectFormer for Image Manipulation Detection and Localization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJunke Wang et al.2022 · 232 citations
6. PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYanqin Jiang et al.2023 · 198 citations
7. Semantic Proposal for Activity Localization in Videos via Sentence Query ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShaoxiang Chen, Yu–Gang Jiang2019 · 197 citations
8. Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification ↗ACM International Conference on Multimedia (ACM MM) · no summary yetZuxuan Wu et al.2016 · 173 citations
9. Motion Guided Spatial Attention for Video Captioning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShaoxiang Chen, Yu–Gang Jiang2019 · 130 citations
10. Trainable Undersampling for Class-Imbalance Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMinlong Peng et al.2019 · 112 citations
11. Cross-Domain Sentiment Classification with Target Domain Specific Information ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMinlong Peng et al.2018 · 109 citations
12. Image Block Augmentation for One-Shot Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZitian Chen et al.2019 · 107 citations
13. Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBojia Zi et al.2021 · 100 citations
14. Harnessing Object and Scene Semantics for Large-Scale Video Understanding ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZuxuan Wu et al.2016 · 88 citations
15. Motion Guided Region Message Passing for Video Captioning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShaoxiang Chen, Yu–Gang Jiang2021 · 75 citations
16. Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse AutoencodersarXiv:2410.20526Zhengfu He, Wentao Shu, Xuyang Ge, et al.2024 · 63 citations
17. AgentGym: Evolving Large Language Model-based Agents across Diverse Environments ↗arXiv:2406.04151 · no summary yetZhiheng Xi et al.2024 · 33 citations
18. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026

🤝 Co-authors here

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

• Bin Zhu
• Lingjie Chen
• Qipeng Guo
• Xipeng Qiu
• Xuanjing Huang
• Yunhua Zhou
• Zhengfu He

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
• Proceedings of the AAAI Conference on Artificial Intelligence ×5
• Annual Meeting of the Association for Computational Linguistics (ACL) ×2
• IEEE/CVF International Conference on Computer Vision (ICCV) ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• ACM International Conference on Multimedia (ACM MM)
• International Joint Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 320 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

Updated 2 November 2026

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