Jingyan Wang

According to our database, Jingyan Wang authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052).

Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang

Dagstuhl Reports, 2024

What Can Natural Language Processing Do for Peer Review?

Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

CoRR, 2024

Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs.

Diptangshu Sen, Jingyan Wang, Juba Ziani

CoRR, 2024

Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems.

Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani

CoRR, 2024

Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception.

Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

Modeling and Correcting Bias in Sequential Evaluation.

Jingyan Wang, Ashwin Pananjady

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.

Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Understanding and Mitigating Biases in Evaluation.

Jingyan Wang

PhD thesis, 2022

Recruitment Strategies That Take a Chance.

Gregory Kehne, Ariel D. Procaccia, Jingyan Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?

Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

2021

A heuristic for statistical seriation.

Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Debiasing Evaluations That Are Biased by Evaluations.

Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons.

Jingyan Wang, Nihar B. Shah, R. Ravi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Ranking and Rating Rankings and Ratings.

Jingyan Wang, Nihar B. Shah

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings.

Jingyan Wang, Nihar B. Shah

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement.

Jingyan Wang, Olga Russakovsky, Deva Ramanan

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2015

Having Your Cake and Eating It Too: Jointly Optimal Erasure Codes for I/O, Storage, and Network-bandwidth.

K. V. Rashmi, Preetum Nakkiran, Jingyan Wang, Nihar B. Shah, Kannan Ramchandran

Proceedings of the 13th USENIX Conference on File and Storage Technologies, 2015

2014

Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora.

Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014