Fei Sha

researcher and engineer in artificial intelligence and machine learning


1600 Amphitheatre Parkway

Montain View, CA 94093

Work: fsha at google dot com

I work at Google Research.

My research interests are Artificial Intelligence / Machine Learning (AI/ML), and AI for Science / Scientific Machine Learning (SciML), with a specific application focus on AI for Weather and Climate Science. At Google Research, I lead a team of scientists and engineers, working in those directions.

I was a Professor of Computer Science at University of Southern California (USC). I no longer provide research assistantships, postdoc or internship positions there. So please do not inquire those opportunities with me.

I do respond to service requests to the research communities, though my bandwidth is limited.


Jul 24, 2023 going to ICML 2023!
Jul 3, 2023 moving my website at USC (last archive) to this one.

selected publications


  1. ICLR
    Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
    Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, and 1 more author
    In ICLR, 2023


  1. ICLR
    Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
    Michiel Jong, Yury Zemlyanskiy, Nicholas FitzGerald, and 2 more authors
    In ICLR, 2022


  1. ICML
    Actor-Attention-Critic for Multi-Agent Reinforcement Learning
    Shariq Iqbal, and Fei Sha
    In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019


  1. CVPR
    Synthesized classifiers for zero-shot learning
    Soravit Changpinyo, Weilun Chao, Boqing Gong, and 1 more author
    In Proc. of CVPR, 2016


  1. NeurIPS
    Similarity Component Analysis
    Soravit Changpinyo, Kuan Liu, and Fei Sha
    In Proc. of Annual Conference on Neural Information Processing Systems (NIPS), 2013


  1. CVPR
    Geodesic Flow Kernel for Unsupervised Domain Adaptation
    Boqing Gong, Yuan Shi, Fei Sha, and 1 more author
    In Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2012


  1. NeurIPS
    Unsupervised Kernel Dimension Reduction
    Meihong Wang, Fei Sha, and Michael I. Jordan
    In Proceedings of Neural Information Processing (NIPS), 2010


  1. NeurIPS
    Large margin hidden Markov models for automatic speech recognition
    Fei Sha, and Lawrence K. Saul
    In Advances in Neural Information Processing Systems 19, 2007


    Shallow Parsing with Conditional Random Fields
    Fei Sha, and Fernando Pereira
    In Proceedings of Human Language Technology-NAACL 2003, 2003