Xudong Shen

Xudong Shen

Ph.D. student

National University of Singapore

About Me : )

Heyyy! I am Xudong Shen (沈旭东). Friends also call me Oliver. I am a 4th year Ph.D. student at National Univeristy of Singapore, advised by professor Mohan Kankanhalli, as well as a part-time research intern at the Sea AI Lab. I am interested in fairness and other safety problems of ML applications. I have worked on fair representation learning, gender discrimination in FinTech, and biases in large language models. And I can be reached at xudong-shen@u-nus-edu (replace hyphens with dots).

Between 2015 and 2019, I was an undergraduate at Zhejiang University, China, majoring in Naval Architect and Ocean Engineering. During this period, I explored various topics including computational fluid dynamics, satellite imaging, and policy research. My cv is here.

I believe in Diversity, Equity & Inclusion. I am committed to uphold 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, Unwarranted Gender Disparity and Its Drivers in Online P2P Lending.
          — We show an improved identification of the taste-based and the belief-based gender discrimination drivers in P2P lending.
          — Oral presentation at the International Conference on Smart Finance, 2022, [slides].
          — Preparing journal submission.

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


[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 Trans. PAMI, 2022. [Paper] [Code]

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

[2023a] Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, …, Xudong Shen, …, “NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation”, JMLR, 2023. [arXiv]

[2023b] Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, …, Xudong Shen, …, “Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models”, Northern European Journal of Language Technology (NEJLT), 2023. [arXiv]

[2023c] Xudong Shen, Tianhui Tan, Tuan Q. Phan, Jussi Keppo, “Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending”, ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023. [forthcoming]