• Ziyue Li

Tensor Topic Models with Graphs and Their Applications on Individualized Travel Patterns

•  Shenghan Guo

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

•  Guanzhou Wei

Physics-informed Statistical Modeling for Wildfire Aerosols Propagation using Multi-source Geostationary Satellite Remote-sensing Image Streams

•  Shixiang Zhu

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data

The Best Applied Paper Award Winner:

Guanzhou Wei, Venkat Krishnan, Manajit Sengupta, Yu Xie, Haitao Liao, Xiao Liu - Department of Industrial Engineering, University of Arkansas

Physics-informed Statistical Modeling for Wildfire Aerosols Propagation using Multi-source Geostationary Satellite Remote-sensing Image Streams

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Best Theoretical Paper Finalists

•  Naichen Shi

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

• Yinan Wang

WOOD: Wasserstein-based Out-of-Distribution Detection

• Botao Wang

Attention-based Anomaly Detection for Time Series with Principal and Residual Space Monitoring

•  Nurretin Dorukhan Sergin

Low-rank and Sparse Tensor Decomposition with RidgeRegularized Subspace Clustering for Metro Passenger Flow Modeling

The Best Theoretical Paper Award Winner:

Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu (James) Kong, Xiaowei Yue - Virginia Tech

WOOD: Wasserstein-based Out-of-Distribution Detection

Data Mining Best Paper Awards: Student / General Tracks

Best Student Paper Finalists

• Efficient Global Optimization of Two-layer ReLU Networks: Adversarial Training and Quadratic-time Algorithms

Yatong Bai, Tanmay Gautam, Somayeh Sojoudi (UC Berkeley)

• Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach

Ryan Cory-Wright & Nicholas A.G. Johnson, Dimitris Bertsimas (MIT)

• A Sparsity-induced Active Anomaly Discovery Method and its Applications in Additive Manufacturing

Bo Shen, James Kong (Virginia Tech)

• Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms

Qing Ye, Weijun Xie (Virginia Tech)

The Winner

• Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach

by Ryan Cory-Wright & Nicholas A.G. Johnson, Dimitris Bertsimas (MIT)

Best  Paper Finalists

• Prediction with Missing Data

Dimitris Bertsimas (MIT) Arthur Delarue (MIT), Jean Pauphilet (London School of Business)

• Acceptable Set Topic Modeling

Lauren Berk Wheelock (Dyno Therapeutics), Dessislava A. Pachamanova (Babson College & MIT)

• Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization

Rad Niazadeh (UC, Booth School of Business), Negin Golrezaei (MIT), Joshua Wang (Google), Fransisca Susan (MIT), Ashwinkumar Badanidiyuru(Google)

• Bandit Learning for Proportionally Fair Allocations

Tianyu Wang(Fudan Univ.), Cynthia Rudin (Duke University)

 
The Winner

• Acceptable Set Topic Modeling

Lauren Berk Wheelock (Dyno Therapeutics), Dessislava A. Pachamanova (Babson College & MIT)