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Xiangyu Yue

Xiangyu Yue has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Bo Zheng, Hao Gu, Hao Wang.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 28 · 162 works · 6,213 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 211 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #9071

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

🎓Chinese University of Hong KongHong Kong · China2023–2026 · 64 paperscurrent🎓University of Hong KongPok Fu Lam · China2026 · 1 papercurrent🎓University of California, BerkeleyBerkeley · United States2018–2022 · 30 papers🔬Key Laboratory of Materials Modification by Laser, Ion and Electron BeamsDalian · China2025 · 6 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2025 · 2 papers

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

 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 · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States (2025 · 15 citations)
    Vision-language models (LVLMs) are easier to jailbreak than text-only LLMs. Common defenses rely on safety fine-tuning or protective prompts, which are costly or tend to over-refuse. This paper asks whether a model's own hidden states already show that a prompt is harmful before any output is generated.
  2. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models (2026 · 3 citations)
    Large reasoning models are usually post-trained by supervised fine-tuning followed by reinforcement learning (SFT-then-RL).
  3. AdaTooler-V: Adaptive Tool-Use for Images and Videos (2026 · 2 citations)
    Open-source multimodal LLMs that reason by interleaving text with visual tool calls, such as zooming into image regions or extracting video segments, often call tools even when they are not needed.

All works

11 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. Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetXiangyu Yue et al.2019 · 378 citations
  2. UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and 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 yetXiaohan Ding et al.2024 · 365 citations
  3. Unsupervised Point Cloud Pre-training via Occlusion Completion ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHanchen Wang et al.2021 · 241 citations
  4. LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model ↗arXiv:2304.15010 · no summary yetPeng Gao et al.2023 · 229 citations
  5. Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiangyu Yue et al.2021 · 163 citations
  6. Self-Supervised Pretraining Improves Self-Supervised Pretraining ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetColorado Reed et al.2022 · 108 citations
  7. ChemLLM: A Chemical Large Language Model ↗arXiv:2402.06852 · no summary yetDi Zhang et al.2024 · 82 citations
  8. InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to Verification ↗arXiv:2505.16938 · no summary yetInternAgent Team et al.2025 · 21 citations
  9. HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yilei Jiang, Xinyan Gao, Tianshuo Peng, et al.2025 · 15 citations
  10. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  11. AdaTooler-V: Adaptive Tool-Use for Images and VideosFindings of the Association for Computational LinguisticsChaoyang Wang, Kaituo Feng, Dongyang Chen, et al.2026 · 2 citations

 Co-authors here

10 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 211 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

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