Distributed Value Functions. - Jeff G. Schneider; Weng-Keen Wong; Andrew W. Moore 001; Martin A. Riedmiller (ICML, 1999)

Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. - Weng-Keen Wong; Andrew W. Moore 001; Gregory F. Cooper; Michael M. Wagner 001 (AAAI/IAAI, 2002)

Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. - Fu-Chiang Tsui; Jeremy U. Espino; Michael M. Wagner 001; Per H. Gesteland; Oleg Ivanov; Robert T. Olszewski; Zhen Liu; Xiaoming Zeng; Wendy W. Chapman; Weng-Keen Wong; Andrew W. Moore 001 (AMIA, 2002)

Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. - Andrew W. Moore 001; Weng-Keen Wong (ICML, 2003)

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. - Weng-Keen Wong; Andrew W. Moore 001; Gregory F. Cooper; Michael M. Wagner 001 (ICML, 2003)

Bayesian Biosurveillance of Disease Outbreaks. - Gregory F. Cooper; Denver Dash; John D. Levander; Weng-Keen Wong; William R. Hogan; Michael M. Wagner 001 (UAI, 2004)

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. - Weng-Keen Wong; Andrew W. Moore 001; Gregory F. Cooper; Michael M. Wagner 001 (J. Mach. Learn. Res., 2005)

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

Logical Hierarchical Hidden Markov Models for Modeling User Activities. - Sriraam Natarajan; Hung Hai Bui; Prasad Tadepalli; Kristian Kersting; Weng-Keen Wong (ILP, 2008)

Integrating rich user feedback into intelligent user interfaces. - Simone Stumpf; Erin Sullivan; Erin Fitzhenry; Ian Oberst; Weng-Keen Wong; Margaret M. Burnett (IUI, 2008)

An Ensemble Learning and Problem Solving Architecture for Airspace Management. - Xiaoqin Zhang 001; Sung Wook Yoon; Phillip DiBona; Darren Scott Appling; Li Ding 001; Janardhan Rao Doppa; Derek T. Green; Jinhong K. Guo; Ugur Kuter; Geoffrey Levine; Reid MacTavish; Daniel McFarlane; et al. (IAAI, 2009)

Fixing the program my computer learned: barriers for end users, challenges for the machine. - Todd Kulesza; Weng-Keen Wong; Simone Stumpf; Stephen Perona; Rachel White; Margaret M. Burnett; Ian Oberst; Amy J. Ko (IUI, 2009)

Category detection using hierarchical mean shift. - Pavan Vatturi; Weng-Keen Wong (KDD, 2009)

QSRA - a quality-value guided de novo short read assembler. - Douglas W. Bryant Jr.; Weng-Keen Wong; Todd C. Mockler (BMC Bioinform., 2009)

Interacting meaningfully with machine learning systems: Three experiments. - Simone Stumpf; Vidya Rajaram; Lida Li; Weng-Keen Wong; Margaret M. Burnett; Thomas G. Dietterich; Erin Sullivan; Jonathan L. Herlocker (Int. J. Hum. Comput. Stud., 2009)

Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. - Jun Yu; Weng-Keen Wong; Rebecca A. Hutchinson (ICDM, 2010)

Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. - Todd Kulesza; Simone Stumpf; Margaret M. Burnett; Weng-Keen Wong; Yann Riche; Travis Moore; Ian Oberst; Amber Shinsel; Kevin McIntosh (VL/HCC, 2010)

Supersplat - spliced RNA-seq alignment. - Douglas W. Bryant Jr.; Rongkun Shen; Henry D. Priest; Weng-Keen Wong; Todd C. Mockler (Bioinform., 2010)

Machine learning algorithms for event detection. - Dragos D. Margineantu; Weng-Keen Wong; Denver Dash (Mach. Learn., 2010)

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 (AAAI, 2011)

Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project. - Steve Kelling; Jun Yu; Jeff Gerbracht; Weng-Keen Wong (e-Science Workshops, 2011)

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. - Todd Kulesza; Margaret M. Burnett; Simone Stumpf; Weng-Keen Wong; Shubhomoy Das; Alex Groce; Amber Shinsel; Forrest Bice; Kevin McIntosh (IS-EUD, 2011)

End-user feature labeling: a locally-weighted regression approach. - Weng-Keen Wong; Ian Oberst; Shubhomoy Das; Travis Moore; Simone Stumpf; Kevin McIntosh; Margaret M. Burnett (IUI, 2011)

Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study. - Amber Shinsel; Todd Kulesza; Margaret M. Burnett; William Curran; Alex Groce; Simone Stumpf; Weng-Keen Wong (VL/HCC, 2011)

Why-oriented end-user debugging of naive Bayes text classification. - Todd Kulesza; Simone Stumpf; Weng-Keen Wong; Margaret M. Burnett; Stephen Perona; Amy J. Ko; Ian Oberst (ACM Trans. Interact. Intell. Syst., 2011)

End-user interactions with intelligent and autonomous systems. - Simone Stumpf; Margaret M. Burnett; Volkmar Pipek; Weng-Keen Wong (CHI Extended Abstracts, 2012)

Automated data verification in a large-scale citizen science project: A case study. - Jun Yu; Steve Kelling; Jeff Gerbracht; Weng-Keen Wong (eScience, 2012)

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. - Steve Kelling; Jeff Gerbracht; Daniel Fink 002; Carl Lagoze; Weng-Keen Wong; Jun Yu; Theodoros Damoulas; Carla P. Gomes (IAAI, 2012)

Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? - William Curran; Travis Moore; Todd Kulesza; Weng-Keen Wong; Sinisa Todorovic; Simone Stumpf; Rachel White; Margaret M. Burnett (IUI, 2012)

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. - Xiaoqin Zhang 001; Bhavesh Shrestha; Sung Wook Yoon; Subbarao Kambhampati; Phillip DiBona; Jinhong K. Guo; Daniel McFarlane; Martin O. Hofmann; Kenneth R. Whitebread; Darren Scott Appling; Elizabeth T. Whitaker; Ethan Trewhitt; et al. (ACM Trans. Intell. Syst. Technol., 2012)

Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. - Yonglei Zheng; Weng-Keen Wong; Xinze Guan; Stewart Trost (IAAI, 2013)

Detecting insider threats in a real corporate database of computer usage activity. - Ted E. Senator; Henry G. Goldberg; Alex Memory; William T. Young; Brad Rees; Robert Pierce; Daniel Huang 003; Matthew Reardon; David A. Bader; Edmond Chow; Irfan A. Essa; Joshua Jones; et al. (KDD, 2013)

Taming compiler fuzzers. - Yang Chen 024; Alex Groce; Chaoqiang Zhang; Weng-Keen Wong; Xiaoli Z. Fern; Eric Eide; John Regehr (PLDI, 2013)

Too much, too little, or just right? Ways explanations impact end users' mental models. - Todd Kulesza; Simone Stumpf; Margaret M. Burnett; Sherry Yang 002; Irwin Kwan; Weng-Keen Wong (VL/HCC, 2013)

End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. - Shubhomoy Das; Travis Moore; Weng-Keen Wong; Simone Stumpf; Ian Oberst; Kevin McIntosh; Margaret M. Burnett (Artif. Intell., 2013)

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. - Steve Kelling; Jeff Gerbracht; Daniel Fink 002; Carl Lagoze; Weng-Keen Wong; Jun Yu; Theodoros Damoulas; Carla P. Gomes (AI Mag., 2013)

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, 2014)

Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction. - Matt Unrath; Zhifei Zhang; Alex K. Goins; Ryan Carpenter; Weng-Keen Wong; Ravi Balasubramanian (HCOMP, 2014)

Taming a Fuzzer Using Delta Debugging Trails. - Yuanli Pei; Arpit Christi; Xiaoli Z. Fern; Alex Groce; Weng-Keen Wong (ICDM Workshops, 2014)

Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor. - Alex K. Goins; Ryan Carpenter; Weng-Keen Wong; Ravi Balasubramanian (IROS, 2014)

Latent dirichlet allocation based diversified retrieval for e-commerce search. - Jun Yu; Sunil Mohan; Duangmanee Putthividhya; Weng-Keen Wong (WSDM, 2014)

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems. - Alex Groce; Todd Kulesza; Chaoqiang Zhang; Shalini Shamasunder; Margaret M. Burnett; Weng-Keen Wong; Simone Stumpf; Shubhomoy Das; Amber Shinsel; Forrest Bice; Kevin McIntosh (IEEE Trans. Software Eng., 2014)

Discovering Hotspots and Coldspots of Species Richness in eBird Data. - Travis Moore; Weng-Keen Wong (AAAI Workshop: Computational Sustainability, 2015)

Principles of Explanatory Debugging to Personalize Interactive Machine Learning. - Todd Kulesza; Margaret M. Burnett; Weng-Keen Wong; Simone Stumpf (IUI, 2015)

TIPR: transcription initiation pattern recognition on a genome scale. - Taj Morton; Weng-Keen Wong; Molly Megraw (Bioinform., 2015)

Systematic Construction of Anomaly Detection Benchmarks from Real Data. - Andrew Emmott; Shubhomoy Das; Thomas G. Dietterich; Alan Fern; Weng-Keen Wong (CoRR, 2015)

Incorporating Expert Feedback into Active Anomaly Discovery. - Shubhomoy Das; Weng-Keen Wong; Thomas G. Dietterich; Alan Fern; Andrew Emmott (ICDM, 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 (ICML, 2016)

Implementation of a Gaussian process-based machine learning grasp predictor. - Alex K. Goins; Ryan Carpenter; Weng-Keen Wong; Ravi Balasubramanian (Auton. Robots, 2016)

Incorporating Feedback into Tree-based Anomaly Detection. - Shubhomoy Das; Weng-Keen Wong; Alan Fern; Thomas G. Dietterich; Md Amran Siddiqui (CoRR, 2017)

Open Set Learning with Counterfactual Images. - Lawrence Neal; Matthew L. Olson; Xiaoli Z. Fern; Weng-Keen Wong; Fuxin Li (ECCV (6), 2018)

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern; Weng-Keen Wong; Xinze Guan (ICASSP, 2018)

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

Computational sustainability: computing for a better world and a sustainable future. - Carla P. Gomes; Thomas G. Dietterich; Christopher Barrett; Jon Conrad; Bistra Dilkina; Stefano Ermon; Fei Fang 001; Andrew Farnsworth; Alan Fern; Xiaoli Z. Fern; Daniel Fink 002; Douglas H. Fisher; et al. (Commun. ACM, 2019)

Counterfactual States for Atari Agents via Generative Deep Learning. - Matthew L. Olson; Lawrence Neal; Fuxin Li; Weng-Keen Wong (CoRR, 2019)

Sequential Feature Explanations for Anomaly Detection. - Md Amran Siddiqui; Alan Fern; Thomas G. Dietterich; Weng-Keen Wong (ACM Trans. Knowl. Discov. Data, 2019)

The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. - Travis Moore; Weng-Keen Wong (AISTATS, 2020)

IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. - Jiaqi Bao; Bechir Hamdaoui; Weng-Keen Wong (IWCMC, 2020)

Discovering Anomalies by Incorporating Feedback from an Expert. - Shubhomoy Das; Weng-Keen Wong; Thomas G. Dietterich; Alan Fern; Andrew Emmott (ACM Trans. Knowl. Discov. Data, 2020)

Contrastive Identification of Covariate Shift in Image Data. - Matthew L. Olson; Thuy-Vy Nguyen; Gaurav Dixit; Neale Ratzlaff; Weng-Keen Wong; Minsuk Kahng (IEEE VIS (Short Papers), 2021)

Counterfactual state explanations for reinforcement learning agents via generative deep learning. - Matthew L. Olson; Roli Khanna; Lawrence Neal; Fuxin Li; Weng-Keen Wong (Artif. Intell., 2021)

Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. - Jared Gaskin; Bechir Hamdaoui; Weng-Keen Wong (CNS, 2022)

An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. - Jun Chen; Weng-Keen Wong; Bechir Hamdaoui; Abdurrahman Elmaghbub; Kathiravetpillai Sivanesan; Richard Dorrance; Lily L. Yang (ICC, 2022)

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. - Matthew L. Olson; Shusen Liu 001; Rushil Anirudh; Jayaraman J. Thiagarajan; Peer-Timo Bremer; Weng-Keen Wong (CVPR, 2023)

ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. - Abdurrahman Elmaghbub; Bechir Hamdaoui; Weng-Keen Wong (ICC, 2023)

HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. - Luke Puppo; Weng-Keen Wong; Bechir Hamdaoui; Abdurrahman Elmaghbub (ISCC, 2023)

Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. - Jared Gaskin; Abdurrahman Elmaghbub; Bechir Hamdaoui; Weng-Keen Wong (IEEE Access, 2023)

Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. - Matthew L. Olson; Shusen Liu 001; Jayaraman J. Thiagarajan; Bogdan Kustowski; Weng-Keen Wong; Rushil Anirudh (CoRR, 2023)

Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. - Jun Chen; Weng-Keen Wong; Bechir Hamdaoui (ICC, 2024)

Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering. - Mitchell Black 002; Lucy Lin; Weng-Keen Wong; Amir Nayyeri (ICML, 2024)

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