🧑‍🔬 Ran He

🏛️ Affiliations

🔬Institute of AutomationBeijing · China2005–2026 · 254 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2005–2026 · 238 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2011–2026 · 142 paperscurrent🎓University of Science and Technology BeijingBeijing · China2026 · 1 papercurrent🎓Center for Excellence in Brain Science and Intelligence TechnologyShanghai · China2015–2024 · 77 papers🎓Dalian University of TechnologyDalian · China2010–2012 · 5 papers🎓ShanghaiTech UniversityShanghai · China2023 · 3 papers🎓Beijing Institute of TechnologyBeijing · China2019–2020 · 3 papers🎓National University of Defense TechnologyChangsha · China2024–2025 · 2 papers🎓University College of Applied ScienceGaza · Palestine2021–2023 · 2 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. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time (2026 · 2 citations)
   Test-Time Reinforcement Learning (TTRL) lets LLMs improve their reasoning on unlabeled test questions by using the majority-voted answer among sampled rollouts as a pseudo-reward.
2. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning (2026)
   Test-time reinforcement learning (TTRL) lets an LLM improve on unlabeled test questions. It samples many answers, takes the majority vote as a pseudo-label, and trains with GRPO. Because rewards come only from the model's own outputs, wrong pseudo-labels introduce misleading training signals. The authors examine…

All works

9 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. Invisible Backdoor Attack with Sample-Specific Triggers ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuezun Li et al.2021 · 430 citations
2. Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetKaiye Wang et al.2015 · 320 citations
3. CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetChaoyou Fu et al.2021 · 176 citations
4. Learning Invariant Deep Representation for NIR-VIS Face Recognition ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRan He et al.2017 · 157 citations
5. Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual 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 yetJian Liang et al.2019 · 82 citations
6. Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetQiaozhe Li et al.2019 · 68 citations
7. Discriminative Analysis Dictionary Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJun Feng Guo et al.2016 · 63 citations
8. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Yan, Jian Liang, Yanbo Wang, et al.2026 · 2 citations
9. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026

🤝 Co-authors here

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

• Jian Liang ×2
• Dong Yan
• Meng Wang
• Yanbo Wang

Venues

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

• Proceedings of the AAAI Conference on Artificial Intelligence ×3
• IEEE/CVF International Conference on Computer Vision (ICCV) ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• IEEE Transactions on Pattern Analysis and Machine Intelligence

🔗 Cited by

Papers of our library cite their works 252 times (of the 149,439 papers whose bibliographies we read); 80 citing papers with a page here →.

Updated 2 November 2026

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