Weng-Keen Wong

88 papers A* 18A 10B 6C 4Misc 2Journal 34Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory. AAAI Taylor Dinkins, Weng-Keen Wong, Basavaraj R. Amogi, Paola Pesantez-Cabrera, Jaitun Patel, Lav R. Khot, Alan Fern
2025	—	`conf`	Bluetooth Fingerprint Identification Under Domain Shift Through Transient Phase Derivative. CNS Haytham Albousayri, Bechir Hamdaoui, Weng-Keen Wong, Nora Basha
2025	J	`jnl`	Bluetooth Fingerprint Identification Under Domain Shift Through Transient Phase Derivative. CoRR Haytham Albousayri, Bechir Hamdaoui, Weng-Keen Wong, Nora Basha
2025	A*	`conf`	Data Augmentation Approaches for Satellite Imagery. AAAI Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson
2025	A*	`conf`	Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection. ICDM Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa
2024	A*	`conf`	Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering. ICML Mitchell Black, Lucy Lin, Weng-Keen Wong, Amir Nayyeri
2024	J	`jnl`	Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering. CoRR Mitchell Black, Lucy Lin, Amir Nayyeri, Weng-Keen Wong
2024	J	`jnl`	Transformer-powered surrogates close the ICF simulation-experiment gap with extremely limited data. Mach. Learn. Sci. Technol. Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh
2024	—	`conf`	Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. ICC Jun Chen, Weng-Keen Wong, Bechir Hamdaoui
2024	J	`jnl`	Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. CoRR Jun Chen, Weng-Keen Wong, Bechir Hamdaoui
2023	—	`conf`	ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. ICC Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
2023	J	`jnl`	ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. CoRR Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
2023	A*	`conf`	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
2023	J	`jnl`	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models. CoRR Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
2023	J	`jnl`	Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. IEEE Access Jared Gaskin, Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
2023	C	`conf`	HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. ISCC Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub
2023	J	`jnl`	HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. CoRR Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub
2023	J	`jnl`	Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. CoRR Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh
2022	—	`conf`	An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. ICC Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang
2022	J	`jnl`	An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. CoRR Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang
2022	—	`conf`	Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CNS Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong
2022	J	`jnl`	Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CoRR Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong
2021	—	`conf`	Contrastive Identification of Covariate Shift in Image Data. IEEE VIS (Short Papers) Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
2021	J	`jnl`	Contrastive Identification of Covariate Shift in Image Data. CoRR Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
2021	J	`jnl`	Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. CoRR Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
2021	J	`jnl`	Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artif. Intell. Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
2020	J	`jnl`	Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2020	B	`conf`	IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. IWCMC Jiaqi Bao, Bechir Hamdaoui, Weng-Keen Wong
2020	A	`conf`	The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. AISTATS Travis Moore, Weng-Keen Wong
2019	J	`jnl`	Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 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
2019	J	`jnl`	Counterfactual States for Atari Agents via Generative Deep Learning. CoRR Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong
2019	J	`jnl`	Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
2018	A	`conf`	An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. UAI Travis Moore, Weng-Keen Wong
2018	Misc	`conf`	Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan
2018	—	`conf`	Open Set Learning with Counterfactual Images. ECCV (6) Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li
2017	J	`jnl`	Incorporating Feedback into Tree-based Anomaly Detection. CoRR Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
2016	A*	`conf`	Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model. ICML Xinze Guan, Raviv Raich, Weng-Keen Wong
2016	J	`jnl`	Implementation of a Gaussian process-based machine learning grasp predictor. Auton. Robots Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
2016	A*	`conf`	Incorporating Expert Feedback into Active Anomaly Discovery. ICDM Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2015	—	`conf`	Discovering Hotspots and Coldspots of Species Richness in eBird Data. AAAI Workshop: Computational Sustainability Travis Moore, Weng-Keen Wong
2015	A	`conf`	Principles of Explanatory Debugging to Personalize Interactive Machine Learning. IUI Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf
2015	J	`jnl`	Sequential Feature Explanations for Anomaly Detection. CoRR Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
2015	J	`jnl`	Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong
2015	J	`jnl`	TIPR: transcription initiation pattern recognition on a genome scale. Bioinform. Taj Morton, Weng-Keen Wong, Molly Megraw
2014	A*	`conf`	A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. AAAI Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong
2014	A*	`conf`	Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project. AAAI Jun Yu, Weng-Keen Wong, Steve Kelling
2014	A	`conf`	Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor. IROS Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
2014	A	`conf`	Latent dirichlet allocation based diversified retrieval for e-commerce search. WSDM Jun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong
2014	—	`conf`	Taming a Fuzzer Using Delta Debugging Trails. ICDM Workshops Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong
2014	B	`conf`	Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction. HCOMP Matt Unrath, Zhifei Zhang, Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian
2014	J	`jnl`	You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems. IEEE Trans. Software Eng. Alex Groce, Todd Kulesza, Chaoqiang Zhang, Shalini Shamasunder, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf, Shubhomoy Das, Amber Shinsel, Forrest Bice, Kevin McIntosh
2013	J	`jnl`	A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. AI Mag. Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
2013	A*	`conf`	Detecting insider threats in a real corporate database of computer usage activity. KDD 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
2013	J	`jnl`	End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. Artif. Intell. Shubhomoy Das, Travis Moore, Weng-Keen Wong, Simone Stumpf, Ian Oberst, Kevin McIntosh, Margaret M. Burnett
2013	C	`conf`	Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. IAAI Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost
2013	A*	`conf`	Taming compiler fuzzers. PLDI Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr
2013	B	`conf`	Too much, too little, or just right? Ways explanations impact end users' mental models. VL/HCC Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Sherry Yang, Irwin Kwan, Weng-Keen Wong
2012	J	`jnl`	An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 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
2012	—	`conf`	Automated data verification in a large-scale citizen science project: A case study. eScience Jun Yu, Steve Kelling, Jeff Gerbracht, Weng-Keen Wong
2012	J	`jnl`	Bayesian Biosurveillance of Disease Outbreaks CoRR Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2012	—	`conf`	End-user interactions with intelligent and autonomous systems. CHI Extended Abstracts Simone Stumpf, Margaret M. Burnett, Volkmar Pipek, Weng-Keen Wong
2012	A	`conf`	Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? IUI William Curran, Travis Moore, Todd Kulesza, Weng-Keen Wong, Sinisa Todorovic, Simone Stumpf, Rachel White, Margaret M. Burnett
2012	C	`conf`	eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. IAAI Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
2011	—	`conf`	Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project. e-Science Workshops Steve Kelling, Jun Yu, Jeff Gerbracht, Weng-Keen Wong
2011	A*	`conf`	End-User Feature Labeling via Locally Weighted Logistic Regression. AAAI Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
2011	A	`conf`	End-user feature labeling: a locally-weighted regression approach. IUI Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
2011	B	`conf`	Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study. VL/HCC Amber Shinsel, Todd Kulesza, Margaret M. Burnett, William Curran, Alex Groce, Simone Stumpf, Weng-Keen Wong
2011	—	`conf`	Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. IS-EUD Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, Kevin McIntosh
2011	J	`jnl`	Why-oriented end-user debugging of naive Bayes text classification. ACM Trans. Interact. Intell. Syst. Todd Kulesza, Simone Stumpf, Weng-Keen Wong, Margaret M. Burnett, Stephen Perona, Amy J. Ko, Ian Oberst
2010	B	`conf`	Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. VL/HCC Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Weng-Keen Wong, Yann Riche, Travis Moore, Ian Oberst, Amber Shinsel, Kevin McIntosh
2010	J	`jnl`	Machine learning algorithms for event detection. Mach. Learn. Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
2010	A*	`conf`	Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. ICDM Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
2010	J	`jnl`	Supersplat - spliced RNA-seq alignment. Bioinform. Douglas W. Bryant Jr., Rongkun Shen, Henry D. Priest, Weng-Keen Wong, Todd C. Mockler
2009	C	`conf`	An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI 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
2009	A*	`conf`	Category detection using hierarchical mean shift. KDD Pavan Vatturi, Weng-Keen Wong
2009	A	`conf`	Fixing the program my computer learned: barriers for end users, challenges for the machine. IUI Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Stephen Perona, Rachel White, Margaret M. Burnett, Ian Oberst, Amy J. Ko
2009	J	`jnl`	Interacting meaningfully with machine learning systems: Three experiments. Int. J. Hum. Comput. Stud. Simone Stumpf, Vidya Rajaram, Lida Li, Weng-Keen Wong, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Jonathan L. Herlocker
2009	J	`jnl`	QSRA - a quality-value guided BMC Bioinform. Douglas W. Bryant Jr., Weng-Keen Wong, Todd C. Mockler
2008	A	`conf`	Integrating rich user feedback into intelligent user interfaces. IUI Simone Stumpf, Erin Sullivan, Erin Fitzhenry, Ian Oberst, Weng-Keen Wong, Margaret M. Burnett
2008	B	`conf`	Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
2008	A*	`conf`	Markov Blanket Feature Selection for Support Vector Machines. AAAI Jianqiang Shen, Lida Li, Weng-Keen Wong
2005	J	`jnl`	What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. J. Mach. Learn. Res. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
2004	A	`conf`	Bayesian Biosurveillance of Disease Outbreaks. UAI Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2003	A*	`conf`	Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
2003	A*	`conf`	Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. ICML Andrew W. Moore, Weng-Keen Wong
2002	Misc	`conf`	Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. AMIA 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
2002	—	`conf`	Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
1999	A*	`conf`	Distributed Value Functions. ICML Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller