Data Mining Best Theoretical Paper

2021 Winner(s)

Winning material: WOOD: Wasserstein-based Out-of-Distribution Detection

Purpose of the Award

The Data Mining (DM) Society of INFORMS announces the DM Best Paper Competition to recognize excellence among its members. The objective of the best paper competition is to recognize excellence among the high-quality research works of DM society members, and brings prestige to DM Society as well as to the recipients.

Application process:

Click here for more information.


Past Awardees

2021 Winner(s)
Yinan Wang, Virginia Tech Wenbo Sun Jionghua (Judy) Jin, University of Michigan Zhenyu (James) Kong, Virginia Polytechnic Institute and State University
Xiaowei Yue, Georgia Institute of Technology
2021 Runner-Up
Nurretin Dorukhan Sergin Jiyun Hu Hao Yan Ziyue Li, The Hong Kong University of Science and Technology
Chen Zhang Fugee Tsung, The Hong Kong University of Science and Technology
2020 First Place
Jinzhi Bu, MIT
David Simchi-Levi , Massachusetts Institute of Technology
Yunzong Xu, MIT
2020 Second Place
Chaosheng Dong, Univeristy of Pittsburgh
Bo Zeng, Univeristy of Pittsburgh
2020 Third Place
Nicolò Bertani, INSEAD
Ville Satopaa, INSEAD
Shane Jensen, University of Pennsylvania
2020 Finalist
Xubo Yue, University of Michigan
Raed Al Kontar, University of Wisconsin, Madison
2018 Winner(s)
Max Biggs, MIT Rim Hariss, MIT
Mostafa Reisi Gahrooei, Georgia Institute of Technology
2018 Finalist
Raquel de Souza Borges Ferreira, Purdue University