Wong, Weng-Keen

18 publications

AAAI 2025 Data Augmentation Approaches for Satellite Imagery Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson

ICML 2024 Biharmonic Distance of Graphs and Its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering Mitchell Black, Lucy Lin, Weng-Keen Wong, Amir Nayyeri

CVPR 2023 Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong

NeurIPSW 2021 Unsupervised Attribute Alignment for Characterizing Distribution Shift Matthew Lyle Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Weng-Keen Wong, Peer-timo Bremer

UAI 2018 An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates Travis Moore, Weng-Keen Wong

ECCV 2018 Open Set Learning with Counterfactual Images Lawrence Neal, Matthew Olson, Xiaoli Fern, Weng-Keen Wong, Fuxin Li

ICML 2016 Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model Xinze Guan, Raviv Raich, Weng-Keen Wong

AAAI 2014 A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong

AAAI 2014 Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project Jun Yu, Weng-Keen Wong, Steve Kelling

AAAI 2011 End-User Feature Labeling via Locally Weighted Logistic Regression Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett

MLJ 2010 Machine Learning Algorithms for Event Detection Dragos D. Margineantu, Weng-Keen Wong, Denver Dash

AAAI 2008 Markov Blanket Feature Selection for Support Vector Machines Jianqiang Shen, Lida Li, Weng-Keen Wong

JMLR 2005 What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks Weng-Keen Wong, Andrew Moore, Gregory Cooper, Michael Wagner

UAI 2004 Bayesian Biosurveillance of Disease Outbreaks Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner

ICML 2003 Bayesian Network Anomaly Pattern Detection for Disease Outbreaks Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner

ICML 2003 Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning Andrew W. Moore, Weng-Keen Wong

AAAI 2002 Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner

ICML 1999 Distributed Value Functions Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller