Building 32 G484, MIT
I am a fourth-year PhD student at MIT CSAIL, advised by Prof. Regina Barzilay. Before I came to MIT, I spent five years studying math in Shanghai and Madison. I got my bachelor degree from Shanghai Jiao Tong University in 2016, and my master degrees from UW-Madison in 2017 and from MIT in 2018.
I became interested in machine learning back in 2016, when I was working with Prof. David Page and Prof. Rebecca Willett on Hawkes process modeling of adverse drug reactions [MLHC17]. My recent reserach focuses on the following topics:
- Transfer learning: improving low-resource performance by connecting human rationale and model attention [EMNLP18]; leveraging distributional signatures for few-shot text classification [ICLR20].
- Robustness (against spurious correlations): learning stable classifiers by comparing different data environments [ICML21] and by transferring spurious features [Preprint].
|Jun 15, 2021||Our work Learning Stable Classifiers by Transferring Unstable Features is now available on arXiv.|
|May 8, 2021||Our work Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers was accepted to ICML 2021.|
|Dec 19, 2019||Our work Few-shot Text Classification with Distributional Signatures was accepted to ICLR 2020.|
- Learning Stable Classifiers by Transferring Unstable FeaturesPreprint 2021
- Predict then Interpolate: A Simple Algorithm to Learn Stable ClassifiersIn International Conference on Machine Learning 2021
- Few-shot Text Classification with Distributional SignaturesIn International Conference on Learning Representations 2020
- Deriving Machine Attention from Human RationalesIn Empirical Methods in Natural Language Processing 2018