Weng-Keen Wong

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 31

Top Topics

Anomaly Detection

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Jun Chen, Weng-Keen Wong, Bechir Hamdaoui
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. CoRR (2024)
Mitchell Black, Lucy Lin, Amir Nayyeri, Weng-Keen Wong
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering. CoRR (2024)
Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. ICC (2023)
Jared Gaskin, Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. IEEE Access 11 (2023)
Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. ISCC (2023)
Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. CoRR (2023)
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR (2023)
Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. CoRR (2023)
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models. CoRR (2023)
Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. CoRR (2023)
Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CNS (2022)
Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CoRR (2022)
Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. ICC (2022)
Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. CoRR (2022)
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
Contrastive Identification of Covariate Shift in Image Data. IEEE VIS (Short Papers) (2021)
Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artif. Intell. 295 (2021)
Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. CoRR (2021)
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
Contrastive Identification of Covariate Shift in Image Data. CoRR (2021)
Travis Moore, Weng-Keen Wong
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. AISTATS (2020)
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Jiaqi Bao, Bechir Hamdaoui, Weng-Keen Wong
IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. IWCMC (2020)
Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong
Counterfactual States for Atari Agents via Generative Deep Learning. CoRR (2019)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62 (9) (2019)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP (2018)
Travis Moore, Weng-Keen Wong
An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. UAI (2018)
Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li
Open Set Learning with Counterfactual Images. ECCV (6) (2018)
Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
Incorporating Feedback into Tree-based Anomaly Detection. CoRR (2017)
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
Incorporating Expert Feedback into Active Anomaly Discovery. ICDM (2016)
Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
Implementation of a Gaussian process-based machine learning grasp predictor. Auton. Robots 40 (4) (2016)
Xinze Guan, Raviv Raich, Weng-Keen Wong
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model. ICML (2016)
Travis Moore, Weng-Keen Wong
Discovering Hotspots and Coldspots of Species Richness in eBird Data. AAAI Workshop: Computational Sustainability (2015)
Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong
Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR (2015)
Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf
Principles of Explanatory Debugging to Personalize Interactive Machine Learning. IUI (2015)
Taj Morton, Weng-Keen Wong, Molly Megraw
TIPR: transcription initiation pattern recognition on a genome scale. Bioinform. 31 (23) (2015)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
Sequential Feature Explanations for Anomaly Detection. CoRR (2015)
Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor. IROS (2014)
Jun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong
Latent dirichlet allocation based diversified retrieval for e-commerce search. WSDM (2014)
Matt Unrath, Zhifei Zhang, Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction. HCOMP (2014)
Alex Groce, Todd Kulesza, Chaoqiang Zhang, Shalini Shamasunder, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf, Shubhomoy Das, Amber Shinsel, Forrest Bice, Kevin McIntosh
You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems. IEEE Trans. Software Eng. 40 (3) (2014)
Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. AAAI (2014)
Jun Yu, Weng-Keen Wong, Steve Kelling
Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project. AAAI (2014)
Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong
Taming a Fuzzer Using Delta Debugging Trails. ICDM Workshops (2014)
Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr
Taming compiler fuzzers. PLDI (2013)
Shubhomoy Das, Travis Moore, Weng-Keen Wong, Simone Stumpf, Ian Oberst, Kevin McIntosh, Margaret M. Burnett
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. Artif. Intell. 204 (2013)
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Sherry Yang, Irwin Kwan, Weng-Keen Wong
Too much, too little, or just right? Ways explanations impact end users' mental models. VL/HCC (2013)
Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
Detecting insider threats in a real corporate database of computer usage activity. KDD (2013)
Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. AI Mag. 34 (1) (2013)
Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost
Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. IAAI (2013)
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
Bayesian Biosurveillance of Disease Outbreaks CoRR (2012)
Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. IAAI (2012)
Jun Yu, Steve Kelling, Jeff Gerbracht, Weng-Keen Wong
Automated data verification in a large-scale citizen science project: A case study. eScience (2012)
William Curran, Travis Moore, Todd Kulesza, Weng-Keen Wong, Sinisa Todorovic, Simone Stumpf, Rachel White, Margaret M. Burnett
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? IUI (2012)
Simone Stumpf, Margaret M. Burnett, Volkmar Pipek, Weng-Keen Wong
End-user interactions with intelligent and autonomous systems. CHI Extended Abstracts (2012)
Xiaoqin Zhang, 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, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 3 (4) (2012)
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
End-User Feature Labeling via Locally Weighted Logistic Regression. AAAI (2011)
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
End-user feature labeling: a locally-weighted regression approach. IUI (2011)
Steve Kelling, Jun Yu, Jeff Gerbracht, Weng-Keen Wong
Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project. e-Science Workshops (2011)
Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, Kevin McIntosh
Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. IS-EUD (2011)
Amber Shinsel, Todd Kulesza, Margaret M. Burnett, William Curran, Alex Groce, Simone Stumpf, Weng-Keen Wong
Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study. VL/HCC (2011)
Todd Kulesza, Simone Stumpf, Weng-Keen Wong, Margaret M. Burnett, Stephen Perona, Amy J. Ko, Ian Oberst
Why-oriented end-user debugging of naive Bayes text classification. ACM Trans. Interact. Intell. Syst. 1 (1) (2011)
Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
Machine learning algorithms for event detection. Mach. Learn. 79 (3) (2010)
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Weng-Keen Wong, Yann Riche, Travis Moore, Ian Oberst, Amber Shinsel, Kevin McIntosh
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. VL/HCC (2010)
Douglas W. Bryant Jr., Rongkun Shen, Henry D. Priest, Weng-Keen Wong, Todd C. Mockler
Supersplat - spliced RNA-seq alignment. Bioinform. 26 (12) (2010)
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. ICDM (2010)
Douglas W. Bryant Jr., Weng-Keen Wong, Todd C. Mockler
short read assembler. BMC Bioinform. 10 (2009)
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Stephen Perona, Rachel White, Margaret M. Burnett, Ian Oberst, Amy J. Ko
Fixing the program my computer learned: barriers for end users, challenges for the machine. IUI (2009)
Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread
An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI (2009)
Simone Stumpf, Vidya Rajaram, Lida Li, Weng-Keen Wong, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Jonathan L. Herlocker
Interacting meaningfully with machine learning systems: Three experiments. Int. J. Hum. Comput. Stud. 67 (8) (2009)
Pavan Vatturi, Weng-Keen Wong
Category detection using hierarchical mean shift. KDD (2009)
Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP (2008)
Jianqiang Shen, Lida Li, Weng-Keen Wong
Markov Blanket Feature Selection for Support Vector Machines. AAAI (2008)
Simone Stumpf, Erin Sullivan, Erin Fitzhenry, Ian Oberst, Weng-Keen Wong, Margaret M. Burnett
Integrating rich user feedback into intelligent user interfaces. IUI (2008)
Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. J. Mach. Learn. Res. 6 (2005)
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
Bayesian Biosurveillance of Disease Outbreaks. UAI (2004)
Andrew W. Moore, Weng-Keen Wong
Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. ICML (2003)
Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML (2003)
Fu-Chiang Tsui, Jeremy U. Espino, Michael M. Wagner, Per H. Gesteland, Oleg Ivanov, Robert T. Olszewski, Zhen Liu, Xiaoming Zeng, Wendy W. Chapman, Weng-Keen Wong, Andrew W. Moore
Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. AMIA (2002)
Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI (2002)
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller
Distributed Value Functions. ICML (1999)