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Fei Sha

Active 1992–2026

182
Papers
19,361
Citations
56
h-index
139
i10-index

Citations

Citations per year for Fei Sha1982: 1 citations1987: 1 citations1990: 2 citations1992: 1 citations1994: 1 citations1995: 1 citations1997: 6 citations1998: 5 citations1999: 2 citations2000: 11 citations2001: 8 citations2002: 10 citations2003: 26 citations2004: 51 citations2005: 94 citations2006: 135 citations2007: 181 citations2008: 211 citations2009: 273 citations2010: 303 citations2011: 299 citations2012: 302 citations2013: 346 citations2014: 486 citations2015: 628 citations2016: 622 citations2017: 721 citations2018: 910 citations2019: 1,075 citations2020: 1,205 citations2021: 1,114 citations2022: 740 citations2023: 656 citations2024: 570 citations2025: 422 citations2026: 125 citations1983–1986: no citations, so these years are not shown1988–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1993: no citations, so this year is not shown1996: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,577 citing papers, 28.2% of this breakdownUnited States: 2,947 citing papers, 23.3% of this breakdownUnited Kingdom: 692 citing papers, 5.5% of this breakdownAustralia: 498 citing papers, 3.9% of this breakdownIndia: 374 citing papers, 2.9% of this breakdownCanada: 355 citing papers, 2.8% of this breakdownFrance: 350 citing papers, 2.8% of this breakdownSingapore: 345 citing papers, 2.7% of this breakdownGermany: 343 citing papers, 2.7% of this breakdownHong Kong: 328 citing papers, 2.6% of this breakdownJapan: 324 citing papers, 2.6% of this breakdownSouth Korea: 267 citing papers, 2.1% of this breakdown
0%28.2%Other 17.9%

Institutions

Fields

  • Computer Science81.6%
  • Engineering6.9%
  • Biochemistry, Genetics and Molecular Biology2.9%
  • Physics and Astronomy1.4%
  • Medicine1.1%
  • Psychology1%
  • Other5.1%

Topics

  • Domain Adaptation and Few-Shot Learning10.4%
  • Multimodal Machine Learning Applications7.1%
  • Advanced Image and Video Retrieval Techniques4.7%
  • Topic Modeling4.6%
  • Natural Language Processing Techniques3.2%
  • Face and Expression Recognition2.8%
  • Other67.2%

Coauthors

All papers

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  1. Geodesic flow kernel for unsupervised domain adaptation

    Authors: Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 cited by 2,200

  2. An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild

    Authors: Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha - Lecture notes in computer science, ECCV (2) 2016 cited by 538

  3. WeatherBench 2: A benchmark for the next generation of data-driven global weather models

    Authors: Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, Álvaro Sánchez‐González, Vivian Yang, Robert W. Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallègue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron J. Bell, Fei Sha - arXiv (Cornell University), CoRR 2023 cited by 83

  4. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

    Authors: Nitya Thakkar, Mert Yüksekgönül, Jake Silberg, Animesh Garg, Nanyun Peng, Fei Sha, Rose Yu, Carl Vondrick, James Zou - ArXiv.org, CoRR 2025 cited by 42

  5. Synthesized Classifiers for Zero-Shot Learning

    Authors: Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 715

  6. Actor-Attention-Critic for Multi-Agent Reinforcement Learning

    Authors: Shariq Iqbal, Fei Sha - ICML 2019 cited by 970

  7. Cross-Modal and Hierarchical Modeling of Video and Text

    Authors: Bowen Zhang, Hexiang Hu, Fei Sha - Lecture notes in computer science, ECCV (13) 2018 cited by 181

  8. Generative AI for fast and accurate Statistical Computation of Fluids

    Authors: Roberto Molinaro, Samuel Lanthaler, Bogdan Raonić, Tobias Rohner, Victor Armegioiu, Simonis, Stephan, Grund, Dana, Ramic, Yannick, Zhong Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez - arXiv (Cornell University), CoRR 2024 cited by 30

  9. Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status from H&E images

    Authors: Rishi Rawat, Itzel Ortega, Preeyam Roy, Fei Sha, Darryl Shibata, Daniel Ruderman, David B. Agus - Scientific Reports 2020 cited by 98

  10. Retrospective Encoders for Video Summarization

    Authors: Ke Zhang, Kristen Grauman, Fei Sha - Lecture notes in computer science, ECCV (8) 2018 cited by 138

  11. DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

    Authors: Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez - ICML 2024 cited by 37

  12. SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

    Authors: Lizao Li, Rob Carver, Ignacio Lopez-Gomez, Fei Sha, John Anderson - arXiv (Cornell University), CoRR 2023 cited by 25

  13. The Impact of Depth on Compositional Generalization in Transformer Language Models

    Authors: Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL-HLT 2024 cited by 18

  14. Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models

    Authors: Linlu Qiu, Fei Sha, Kelsey R. Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste - Nature Communications 2026 cited by 17

  15. Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

    Authors: Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 47

  16. Co-training Transformer with Videos and Images Improves Action Recognition

    Authors: Bowen Zhang, Jiahui Yu, Christopher Fifty, Wei Han, Andrew M. Dai, Ruoming Pang, Fei Sha - arXiv (Cornell University), CoRR 2021 cited by 47

  17. AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

    Authors: Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie - arXiv (Cornell University), CoRR 2020 cited by 43

  18. Marginalized Denoising Autoencoders for Domain Adaptation

    Authors: Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha - ICML 2012 cited by 837

  19. Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning

    Authors: Shariq Iqbal, Fei Sha - arXiv (Cornell University), CoRR 2019 cited by 45

  20. A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

    Authors: Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL-HLT 2024 cited by 14

  21. Mention Memory: incorporating textual knowledge into Transformers through entity mention attention

    Authors: Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen - ICLR 2022 cited by 55

  22. A Bayesian Theory of Mind Approach to Nonverbal Communication

    Authors: Jin Joo Lee, Fei Sha, Cynthia Breazeal - 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019 cited by 39

  23. A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus

    Authors: Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha - arXiv (Cornell University), CoRR 2020 cited by 33

  24. Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts

    Authors: Kun Fu, Junqi Jin, Runpeng Cui, Fei Sha, Changshui Zhang - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2016 cited by 179