---
title: "Junchi Yan — author profile and papers — Elamur Research"
description: "Junchi Yan, Shanghai Jiao Tong University: 2 papers on Elamur Research (2024–2025), h-index 62 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/junchi-yan/"
---
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# Junchi Yan

Junchi Yan has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Aojun Zhou](https://md.research.elamur.ai/free/en/authors/aojun-zhou/), [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/), [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5087158377) · [ORCID](https://orcid.org/0000-0001-9639-7679) · [Wikidata](https://www.wikidata.org/wiki/Q53489826) · [**h-index 62**](https://openalex.org/authors/A5087158377) · [497 works](https://openalex.org/works?filter=author.id:A5087158377) · [18,635 citations](https://openalex.org/works?filter=author.id:A5087158377&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/junchi-yan/#papers) · [🔗 Cited 167 times in our library](https://md.research.elamur.ai/free/en/authors/junchi-yan/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6740](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6740)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2009–2026 · 375 papersEducation 2012–2015 · Ph.D, Electrical EngineeringEmployment since 2018*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Shanghai Innovation Institute** Shanghai · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/) · [🏢**IBM Research** Beijing · China 2011–2018 · 40 papersEmployment 2011–2018](https://md.research.elamur.ai/free/en/companies/ibm-research/) · [🎓**East China Normal University** Shanghai · China 2015–2019 · 30 papers](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2020–2024 · 22 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🏢**IBM** Armonk · United States 2015–2019 · 6 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**Shanghai Key Laboratory of Trustworthy Computing** Shanghai · China 2017 · 4 papers](https://ror.org/030qbr085) · [🏢**Artificial Intelligence in Medicine** Toronto · Canada 2025 · 2 papers](https://ror.org/05p590m36) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Amazon** Seattle · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/junchi-yan/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/junchi-yan/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-not-all-experts-are-equal/)** *(2024 · 88 citations)* Mixture-of-Experts LLMs such as Mixtral 8x7B activate only a few experts per token, yet every expert must stay in memory.
2. **[LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts](https://md.research.elamur.ai/free/en/papers/ren-2025-llms-know-their-vulnerabilities-uncover/)** *(2025 · 18 citations)* The paper investigates a safety weakness of aligned LLMs. Seemingly harmless prompts that are semantically connected to a harmful request can steer a model into producing unsafe output. The authors call this exploitation of "natural distribution shift" and contrast it with attacks that deliberately distort the toxic…

## All works

16 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. **[R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object ↗](https://doi.org/10.1609/aaai.v35i4.16426) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Xue Yang et al.*2019 · 1,253 citations*
2. **[SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects ↗](https://doi.org/10.1109/iccv.2019.00832) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xue Yang et al.*2019 · 1,058 citations*
3. **[MMRotate ↗](https://doi.org/10.1145/3503161.3548541) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yue Zhou et al.*2022 · 415 citations*
4. **[Learning Modulated Loss for Rotated Object Detection ↗](https://doi.org/10.1609/aaai.v35i3.16347) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Wen Qian et al.*2019 · 373 citations*
5. **[Deep Spectral Clustering Using Dual Autoencoder Network ↗](https://doi.org/10.1109/cvpr.2019.00419) 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**Xu Yang et al.*2019 · 317 citations*
6. **[Unsupervised Deep Learning for Optical Flow Estimation ↗](https://doi.org/10.1609/aaai.v31i1.10723) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhe Ren et al.*2017 · 295 citations*
7. **[Modeling the Intensity Function of Point Process Via Recurrent Neural Networks ↗](https://doi.org/10.1609/aaai.v31i1.10724) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shuai Xiao et al.*2017 · 210 citations*
8. **[Ternary Weight Networks ↗](https://doi.org/10.1109/icassp49357.2023.10094626) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Bin Liu et al.*2023 · 193 citations*
9. **[UniRE: A Unified Label Space for Entity Relation Extraction ↗](https://aclanthology.org/2021.acl-long.19/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yijun Wang et al.*2021 · 158 citations*
10. **[On Estimating Air Pollution from Photos Using Convolutional Neural Network ↗](https://doi.org/10.1145/2964284.2967230) ACM International Conference on Multimedia (ACM MM) · no summary yet**Chao Zhang et al.*2016 · 114 citations*
11. **[Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-not-all-experts-are-equal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xudong Lu, Qi Liu, Yuhui Xu, et al.*2024 · 88 citations*
12. **[Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ↗](https://doi.org/10.1109/iccv.2019.00404) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Hao Wang et al.*2019 · 85 citations*
13. **[TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics ↗](https://doi.org/10.24963/ijcai.2019/268) International Joint Conference on Artificial Intelligence · no summary yet**Shihui Yang et al.*2019 · 75 citations*
14. **[Discrete hyper-graph matching ↗](https://doi.org/10.1109/cvpr.2015.7298759) 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**Junchi Yan et al.*2015 · 67 citations*
15. **[On Machine Learning towards Predictive Sales Pipeline Analytics ↗](https://doi.org/10.1609/aaai.v29i1.9455) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Junchi Yan et al.*2015 · 56 citations*
16. **[LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts](https://md.research.elamur.ai/free/en/papers/ren-2025-llms-know-their-vulnerabilities-uncover/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qibing Ren, Hao Li, Dongrui Liu, et al.*2025 · 18 citations*

## Co-authors here

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

- [Aojun Zhou](https://md.research.elamur.ai/free/en/authors/aojun-zhou/)
- [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/)
- [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/)
- [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/)
- [Hongsheng Li](https://md.research.elamur.ai/free/en/authors/hongsheng-li/)
- [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/)
- [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/)
- [Qi Liu](https://md.research.elamur.ai/free/en/authors/qi-liu/)
- [Siyuan Huang](https://md.research.elamur.ai/free/en/authors/siyuan-huang/)
- [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/)

## 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 ×5
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- ACM International Conference on Multimedia (ACM MM) ×2
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- IEEE/CVF International Conference on Computer Vision (ICCV) ×2
- IEEE International Conference on Acoustics Speech and Signal Processing
- International Joint Conference on Artificial Intelligence
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 167 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junchi-yan/cited-by/).

Updated 31 October 2026