My research interests are Artificial Intelligence / Machine Learning (AI/ML), and AI for Science / Scientific Machine Learning (SciML). 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 offer research assistantships, postdoc or internship positions there. So please do not inquire those opportunities with me.
I do respond to service requests from research communities, including writing reference letters, serving on (grant) panels and editorial boards, organizing conferences. My bandwidth is limited so I apologize in advance if your request is not responded promptly.
@article{lopezgomez25r2d2,title={Dynamical-generative downscaling of climate model ensembles},author={Lopez-Gomez, Ignacio and Wan, Zhong Yi and Zepeda-N\'{u}nez, Leonardo and Schneider, Tapio and Anderson, John and Sha, Fei},year={2025},volume={122},number={17},journal={PNAS},pmid={40279391}}
2024
Sci. Adv.
Generative emulation of weather forecast ensembles with diffusion models
Lizao Li, Robert Carver, Ignacio Lopez-Gomez, and 2 more authors
@article{li24seeds,author={Li, Lizao and Carver, Robert and Lopez-Gomez, Ignacio and Sha, Fei and Anderson, John},title={Generative emulation of weather forecast ensembles with diffusion models},journal={Science Advances},volume={10},number={13},year={2024},pmid={38552014}}
ICML
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, and 4 more authors
@inproceedings{schiff24dyslim,title={DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems},author={Schiff, Yair and Wan, Zhong Yi and Parker, Jeffrey B. and Hoyer, Stephan and Kuleshov, Volodymyr and Sha, Fei and Zepeda-Nunez, Leonardo},year={2024},booktitle={Proc. of ICML},}
NAACL
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
Tiwalayo Eisape, Michael Tessler, Ishita Dasgupta, and 3 more authors
In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024
@inproceedings{eisape24syllogistic,title={A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models},author={Eisape, Tiwalayo and Tessler, Michael and Dasgupta, Ishita and Sha, Fei and Steenkiste, Sjoerd and Linzen, Tal},booktitle={Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics},year={2024},}
JAMES
WeatherBench 2: A Benchmark for the Next Generation of Data-Driven Global Weather Models
Stephan Rasp, Stephan Hoyer, Alexander Merose, and 15 more authors
Journal of Advances in Modeling Earth Systems, 2024
@article{rasp24weatherbench,author={Rasp, Stephan and Hoyer, Stephan and Merose, Alexander and Langmore, Ian and Battaglia, Peter and Russell, Tyler and Sanchez-Gonzalez, Alvaro and Yang, Vivian and Carver, Rob and Agrawal, Shreya and Chantry, Matthew and Ben Bouallegue, Zied and Dueben, Peter and Bromberg, Carla and Sisk, Jared and Barrington, Luke and Bell, Aaron and Sha, Fei},title={WeatherBench 2: A Benchmark for the Next Generation of Data-Driven Global Weather Models},journal={Journal of Advances in Modeling Earth Systems},volume={16},number={6},year={2024},doi={10.1029/2023ms004019}}
2023
NeurIPS
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, and 5 more authors
In Advances in Neural Information Processing Systems, 2023
@inproceedings{boral23les,author={Boral, Anudhyan and Wan, Zhong Yi and Zepeda-Nunez, Leonardo and Lottes, James and Wang, Qing and Chen, Yi-Fan and Anderson, John and Sha, Fei},booktitle={Advances in Neural Information Processing Systems},editor={Oh, A. and Naumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.},pages={69270--69283},publisher={Curran Associates, Inc.},title={Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations},volume={36},year={2023},}
NeurIPS
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, and 4 more authors
In Advances in Neural Information Processing Systems, 2023
@inproceedings{wan23debias,author={Wan, Zhong Yi and Baptista, Ricardo and Boral, Anudhyan and Chen, Yi-Fan and Anderson, John and Sha, Fei and Zepeda-N\'{u}\~{n}ez, Leonardo},booktitle={Advances in Neural Information Processing Systems},editor={Oh, A. and Naumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.},pages={47749--47763},publisher={Curran Associates, Inc.},title={Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models},volume={36},year={2023}}
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
@inproceedings{wan23evolve,author={Wan, Zhong Yi and Zepeda-N\'{u}\~{n}ez, Leonardo and Boral, Anudhyan and Sha, Fei},title={Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems},booktitle={ICLR},year={2023},}
2022
ICLR
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Michiel Jong, Yury Zemlyanskiy, Nicholas FitzGerald, and 2 more authors
@inproceedings{dejong22mention,title={Mention Memory: incorporating textual knowledge into Transformers through entity mention attention},author={de Jong, Michiel and Zemlyanskiy, Yury and FitzGerald, Nicholas and Sha, Fei and Cohen, William},booktitle={ICLR},year={2022},}
2019
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
@inproceedings{iqbal19acc,author={Iqbal, Shariq and Sha, Fei},editor={Chaudhuri, Kamalika and Salakhutdinov, Ruslan},title={Actor-Attention-Critic for Multi-Agent Reinforcement Learning},booktitle={Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},series={Proceedings of Machine Learning Research},volume={97},pages={2961--2970},publisher={{PMLR}},year={2019},}
2016
CVPR
Synthesized classifiers for zero-shot learning
Soravit Changpinyo, Weilun Chao, Boqing Gong, and 1 more author
@inproceedings{changpinyo16zero,author={Changpinyo, Soravit and Chao, Weilun and Gong, Boqing and Sha, Fei},title={Synthesized classifiers for zero-shot learning},booktitle={Proc. of CVPR},year={2016},}
2013
NeurIPS
Similarity Component Analysis
Soravit Changpinyo, Kuan Liu, and Fei Sha
In Proc. of Annual Conference on Neural Information Processing Systems (NIPS), 2013
@inproceedings{chanpingyo13sca,author={Changpinyo, Soravit and Liu, Kuan and Sha, Fei},title={Similarity Component Analysis},booktitle={Proc. of Annual Conference on Neural Information Processing Systems (NIPS)},year={2013},}
2012
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
@inproceedings{gong12gfk,author={Gong, Boqing and Shi, Yuan and Sha, Fei and Grauman, Kristen},title={Geodesic Flow Kernel for Unsupervised Domain Adaptation},booktitle={Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},address={Providence, Rhode Island},year={2012}}
2010
NeurIPS
Unsupervised Kernel Dimension Reduction
Meihong Wang, Fei Sha, and Michael I. Jordan
In Proceedings of Neural Information Processing (NIPS), 2010
@inproceedings{wang10ukdr,author={Wang, Meihong and Sha, Fei and Jordan, Michael I.},title={Unsupervised Kernel Dimension Reduction},booktitle={Proceedings of Neural Information Processing (NIPS)},year={2010},}
2007
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
@inproceedings{sha07hmm,author={Sha, Fei and Saul, Lawrence K.},title={Large margin hidden {M}arkov models for automatic speech recognition},booktitle={Advances in Neural Information Processing Systems 19},year={2007},editor={Sch\"{o}lkopf, B. and Platt, J.C. and Hofmann, T.},pages={1249--1256},address={Cambridge, MA},publisher={MIT Press},owner={feisha},}
2003
NAACL-HLT
Shallow Parsing with Conditional Random Fields
Fei Sha, and Fernando Pereira
In Proceedings of Human Language Technology-NAACL 2003, 2003
@inproceedings{sha03shallow,author={Sha, Fei and Pereira, Fernando},title={Shallow Parsing with Conditional Random Fields},booktitle={Proceedings of Human Language Technology-NAACL 2003},year={2003},pages={213--220},address={Edmonton, Canada}}
