Papers
Towards Conceptualization of “Fair Explanation”: Impact of Asian Hate Speech Explanations on Content Moderators Joint work with Tin Nguyen, Aayushi Roy, Hal Daumé III, and Marine Carpuat.
- Accepted by EMNLP 2023 Main Conference.
Working Projects
Personalized Assortment Optimization for a Subscription Business Model of Experience Goods Joint work with Gah-Yi Ban, Wedad J. Elmaghraby, and L. Beril Toktay.
Scheduled to present at INFORMS 2024, Seattle, WA.
Finalist, INFORMS MIF Summer Webinar Competition, 2024.
Presented at Purdue Operations Symposium (2023), POMS (2024), and Imperial President’s PhD Scholars Research Symposium (2024, by co-author).
Crafting Freelance Success: Unveiling the Impact of Availability on Match Quality through Conversational Analytics Joint work with Ashish S. Kabra and Kunpeng Zhang.
Presented at Purdue Operations Conference (2024).
Presented at POMS (2023, 2024), INFORMS (2023), and Smith DOIT Doctoral Consortium (2023, 2024).
From Complexity to Clarity: Trustworthy NLP to Alleviate Disparity in Credit Card Debt Joint work with Jane Jiang and Wedad J. Elmaghraby.
- Supported by the Faculty-Student Research Award (FSRA, $15,000) from the Graduate School.
A Colletion of Computer Science Projects
Technical AI Fairness Criteria Might Constitutionally Apply to U.S. Recidivism Risk Assessment Tools, but How and for Whom? Joint work with Tin Nguyen, Kem Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh
Effort-aware Fairness: Measures and Mitigations in AI-assisted Decision Making Joint work with Tin Nguyen, Zora Che, Kem Nguyen-Le, Donald Braman, Hal Daumé III, Furong Huang, and Zubin Jelveh
Bipartite Networked Multi-agent Reinforcement Learning for Decentralized Matching Markets Joint work with Yan Xu.
- Presented at POMS Conference 2024, Minneapolis, MN.