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Junchi Yan

Junchi Yan has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Bias, fairness & safety, Efficient models & compression; often with Aojun Zhou, Bo Zhang, Dongrui Liu.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 62 · 497 works · 18,635 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 167 times in our library · 14 more in our library without a page yet · ⭐ Paper Stars ranking: #6740

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

🎓Shanghai Jiao Tong UniversityShanghai · China2009–2026 · 375 papersEducation 2012–2015 · Ph.D, Electrical EngineeringEmployment since 2018current🎓Shanghai Innovation InstituteShanghai · China2024–2026 · 7 paperscurrent🏢IBM ResearchBeijing · China2011–2018 · 40 papersEmployment 2011–2018🎓East China Normal UniversityShanghai · China2015–2019 · 30 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2020–2024 · 22 papers🏢IBMArmonk · United States2015–2019 · 6 papers🔬Shanghai Key Laboratory of Trustworthy ComputingShanghai · China2017 · 4 papers🏢Artificial Intelligence in MedicineToronto · Canada2025 · 2 papers🎓Massachusetts Institute of TechnologyCambridge · United States2024 · 2 papers🏢AmazonSeattle · United States2022–2023 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20251 paper20241 paper

 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 (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 (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 ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXue Yang et al.2019 · 1,253 citations
  2. SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetXue Yang et al.2019 · 1,058 citations
  3. MMRotate ↗ACM International Conference on Multimedia (ACM MM) · no summary yetYue Zhou et al.2022 · 415 citations
  4. Learning Modulated Loss for Rotated Object Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetWen Qian et al.2019 · 373 citations
  5. Deep Spectral Clustering Using Dual Autoencoder Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXu Yang et al.2019 · 317 citations
  6. Unsupervised Deep Learning for Optical Flow Estimation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhe Ren et al.2017 · 295 citations
  7. Modeling the Intensity Function of Point Process Via Recurrent Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShuai Xiao et al.2017 · 210 citations
  8. Ternary Weight Networks ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetBin Liu et al.2023 · 193 citations
  9. UniRE: A Unified Label Space for Entity Relation Extraction ↗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 yetYijun Wang et al.2021 · 158 citations
  10. On Estimating Air Pollution from Photos Using Convolutional Neural Network ↗ACM International Conference on Multimedia (ACM MM) · no summary yetChao Zhang et al.2016 · 114 citations
  11. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (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 ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHao Wang et al.2019 · 85 citations
  13. TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics ↗International Joint Conference on Artificial Intelligence · no summary yetShihui Yang et al.2019 · 75 citations
  14. Discrete hyper-graph matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJunchi Yan et al.2015 · 67 citations
  15. On Machine Learning towards Predictive Sales Pipeline Analytics ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJunchi Yan et al.2015 · 56 citations
  16. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (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.

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 167 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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