Xudong Shen

Xudong Shen

Ph.D. student

National University of Singapore

About Me : )

Hi! I am Xudong Shen (沈旭东). Friends also call me Oliver. I am a 3rd year Ph.D. student at National Univeristy of Singapore, advised by professor Mohan Kankanhalli. Between 2015 and 2019, I was an undergraduate at Zhejiang University, China, majoring in Naval Architect and Ocean Engineering. I can be reached at xudong-shen@u-nus-edu (replace hyphens with dots). My cv is here.

I study fairness and bias in machine learning, with application to vision and language. I also study discrimination in economics.

I believe in Diversity, Equity & Inclusion. I am committed to promote these values.

If you are interested, I’ve written something more about myself

Working Papers

[w1] Xudong Shen, Tianhui Tan, Jussi Keppo, and Tuan Q. Phan, Discrimination and Its Drivers: Improved Identification from P2P Lending.

[w2] Xudong Shen, Yongkang Wong, and Mohan Kankanhalli, Theoretical Guarantees of Subgroup-Fair Representation via Task Anticipation.

Preprints

[p1] Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, …, Xudong Shen, … (125 authors), “NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation”, 2021. [arXiv]

[p2] Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, …, Xudong Shen, … (40 authors), “Benchmarking Generalization via In-Context Instructions on 1,600+ Language Tasks”, 2022. [arXiv]

Publications

[2021a] Ziwei Xu, Xudong Shen, Yongkang Wong, and Mohan S Kankanhalli, “Unsupervised Motion Representation Learning with Capsule Autoencoders”, NeurIPS, 2021. [Paper] [Code] [Slide] [Video]

[2022a] Xudong Shen, Yongkang Wong, and Mohan S Kankanhalli, “Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [Paper] [Code]