Hi! 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. 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, with focus on FinTech.
I believe in Diversity, Equity & Inclusion. I am committed to uphold these values.
If you are interested, I’ve written something more about myself…
[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 gender discrimination drivers in the P2P lending context.
— 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.
[p1] Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, …, Xudong Shen, …, “NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation”, 2021. [arXiv]
[p2] Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, …, Xudong Shen, …, “Benchmarking Generalization via In-Context Instructions on 1,600+ Language Tasks”, 2022. [arXiv]
[p3] Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, …, Xudong Shen, …, “Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models”, 2022. [arXiv]
[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]