Jingyan Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Pairwise Comparisons

Language Processing

Top Venues

Publications

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
What Can Natural Language Processing Do for Peer Review? CoRR (2024)
Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). Dagstuhl Reports 14 (1) (2024)
Jingyan Wang, Ashwin Pananjady
Modeling and Correcting Bias in Sequential Evaluation. EC (2023)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS (2023)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR (2023)
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? HCOMP (2022)
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? CoRR (2022)
Jingyan Wang, Ashwin Pananjady
Modeling and Correcting Bias in Sequential Evaluation. CoRR (2022)
Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi
A heuristic for statistical seriation. UAI (2021)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That Are Biased by Evaluations. AAAI (2021)
Jingyan Wang, Nihar B. Shah, R. Ravi
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons. AISTATS (2020)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That are Biased by Evaluations. CoRR (2020)
Jingyan Wang, Nihar B. Shah
Ranking and Rating Rankings and Ratings. AAAI (2020)
Jingyan Wang, Nihar B. Shah
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. AAMAS (2019)
Jingyan Wang, Nihar B. Shah, R. Ravi
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons. CoRR (2019)
Jingyan Wang, Nihar B. Shah
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. CoRR (2018)
Jingyan Wang, Olga Russakovsky, Deva Ramanan
The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement. WACV (2018)
K. V. Rashmi, Preetum Nakkiran, Jingyan Wang, Nihar B. Shah, Kannan Ramchandran
Having Your Cake and Eating It Too: Jointly Optimal Erasure Codes for I/O, Storage, and Network-bandwidth. FAST (2015)
Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora. ICMLA (2014)