Wang, Jingyan

11 publications

TMLR 2025 Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani

JMLR 2024 Debiasing Evaluations That Are Biased by Evaluations Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar Shah

ICMLW 2024 Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady

NeurIPS 2023 Perceptual Adjustment Queries and an Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew McRae, Jingyan Wang, Mark Davenport, Ashwin Pananjady

ICMLW 2023 Perceptual Adjustment Queries: An Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

NeurIPS 2022 Recruitment Strategies That Take a Chance Gregory Kehne, Ariel D Procaccia, Jingyan Wang

UAI 2021 A Heuristic for Statistical Seriation Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi

AAAI 2021 Debiasing Evaluations That Are Biased by Evaluations Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah

AAAI 2020 Ranking and Rating Rankings and Ratings Jingyan Wang, Nihar B. Shah

AISTATS 2020 Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons Jingyan Wang, Nihar Shah, R Ravi

WACV 2018 The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement Jingyan Wang, Olga Russakovsky, Deva Ramanan