--- title: "Ran He — author profile and papers — Elamur Research" description: "Ran He, Chinese Academy of Sciences: 2 papers on Elamur Research (2026), h-index 63 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/ran-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ran-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ran He # Ran He Ran He has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jian Liang](https://md.research.elamur.ai/free/en/authors/jian-liang/), [Dong Yan](https://md.research.elamur.ai/free/en/authors/dong-yan/), [Meng Wang](https://md.research.elamur.ai/free/en/authors/meng-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5112749024) · [ORCID](https://orcid.org/0000-0002-3807-991X) · [Wikidata](https://www.wikidata.org/wiki/Q131165307) · [**h-index 63**](https://openalex.org/authors/A5112749024) · [399 works](https://openalex.org/works?filter=author.id:A5112749024) · [15,143 citations](https://openalex.org/works?filter=author.id:A5112749024&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ran-he/#papers) · [🔗 Cited 252 times in our library](https://md.research.elamur.ai/free/en/authors/ran-he/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12587](https://md.research.elamur.ai/free/en/paper-stars/page/126/#star-12587) 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=Ran+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ran+He) · [dblp](https://dblp.org/search?q=Ran+He) · [ACL Anthology](https://aclanthology.org/search/?q=Ran+He) ## Affiliations [🔬**Institute of Automation** Beijing · China 2005–2026 · 254 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2005–2026 · 238 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2011–2026 · 142 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**University of Science and Technology Beijing** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🎓**Center for Excellence in Brain Science and Intelligence Technology** Shanghai · China 2015–2024 · 77 papers](https://md.research.elamur.ai/free/en/universities/center-for-excellence-in-brain-science-and-intelligence-technology/) · [🎓**Dalian University of Technology** Dalian · China 2010–2012 · 5 papers](https://md.research.elamur.ai/free/en/universities/dalian-university-of-technology/) · [🎓**ShanghaiTech University** Shanghai · China 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghaitech-university/) · [🎓**Beijing Institute of Technology** Beijing · China 2019–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**National University of Defense Technology** Changsha · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**University College of Applied Science** Gaza · Palestine 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-college-of-applied-science/) 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. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ran-he/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time](https://md.research.elamur.ai/free/en/papers/yan-2026-what-if-consensus-lies-selective/)** *(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](https://md.research.elamur.ai/free/en/papers/yu-2026-understanding-mitigating-spurious-signal-amplification/)** *(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 ↗](https://doi.org/10.1109/iccv48922.2021.01615) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yuezun Li et al.*2021 · 430 citations* 2. **[Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval ↗](https://doi.org/10.1109/tpami.2015.2505311) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Kaiye Wang et al.*2015 · 320 citations* 3. **[CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification ↗](https://doi.org/10.1109/iccv48922.2021.01161) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Chaoyou Fu et al.*2021 · 176 citations* 4. **[Learning Invariant Deep Representation for NIR-VIS Face Recognition ↗](https://doi.org/10.1609/aaai.v31i1.10786) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ran He et al.*2017 · 157 citations* 5. **[Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00309) 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**Jian Liang et al.*2019 · 82 citations* 6. **[Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition ↗](https://doi.org/10.1609/aaai.v33i01.33018634) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Qiaozhe Li et al.*2019 · 68 citations* 7. **[Discriminative Analysis Dictionary Learning ↗](https://doi.org/10.1609/aaai.v30i1.10213) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jun Feng Guo et al.*2016 · 63 citations* 8. **[What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time](https://md.research.elamur.ai/free/en/papers/yan-2026-what-if-consensus-lies-selective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-understanding-mitigating-spurious-signal-amplification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongcan Yu, Lingxiao He, Jian Liang, et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jian Liang](https://md.research.elamur.ai/free/en/authors/jian-liang/) ×2 - [Dong Yan](https://md.research.elamur.ai/free/en/authors/dong-yan/) - [Meng Wang](https://md.research.elamur.ai/free/en/authors/meng-wang/) - [Yanbo Wang](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) - [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/ran-he/cited-by/). Updated 2 November 2026