Weng-Keen Wong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
20
Active years
1999–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory. | Taylor Dinkins, Weng-Keen Wong, Basavaraj R. Amogi, Paola Pesantez-Cabrera, Jaitun Patel, Lav R. Khot, Alan Fern |
| 2025 | AAAI | Data Augmentation Approaches for Satellite Imagery. | Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson |
| 2025 | ICDM | Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection. | Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa |
| 2024 | ICML | 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 |
| 2023 | CVPR | 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 |
| 2023 | ISCC | HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. | Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub |
| 2020 | AISTATS | The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. | Travis Moore, Weng-Keen Wong |
| 2020 | IWCMC | IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. | Jiaqi Bao, Bechir Hamdaoui, Weng-Keen Wong |
| 2018 | ECCV | Open Set Learning with Counterfactual Images. | Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li |
| 2018 | ICASSP | Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. | Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan |
| 2018 | UAI | An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. | Travis Moore, Weng-Keen Wong |
| 2016 | ICDM | Incorporating Expert Feedback into Active Anomaly Discovery. | Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott |
| 2016 | ICML | 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 |
| 2015 | AAAI | Discovering Hotspots and Coldspots of Species Richness in eBird Data. | Travis Moore, Weng-Keen Wong |
| 2015 | IUI | Principles of Explanatory Debugging to Personalize Interactive Machine Learning. | Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf |
| 2014 | AAAI | A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. | Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong |
| 2014 | AAAI | Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project. | Jun Yu, Weng-Keen Wong, Steve Kelling |
| 2014 | HCOMP | 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 |
| 2014 | ICDM | Taming a Fuzzer Using Delta Debugging Trails. | Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong |
| 2014 | IROS | 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 |
| 2014 | WSDM | Latent dirichlet allocation based diversified retrieval for e-commerce search. | Jun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong |
| 2013 | IAAI | Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. | Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost |
| 2013 | KDD | 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, 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 | PLDI | Taming compiler fuzzers. | Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr |
| 2012 | CHI | End-user interactions with intelligent and autonomous systems. | Simone Stumpf, Margaret M. Burnett, Volkmar Pipek, Weng-Keen Wong |
| 2012 | IAAI | eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. | Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes |
| 2012 | IUI | 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 |
| 2011 | AAAI | 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 |
| 2011 | IUI | 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 |
| 2010 | ICDM | Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. | Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | 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 Ontan, 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 | IUI | 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 |
| 2009 | KDD | Category detection using hierarchical mean shift. | Pavan Vatturi, Weng-Keen Wong |
| 2008 | AAAI | Markov Blanket Feature Selection for Support Vector Machines. | Jianqiang Shen, Lida Li, Weng-Keen Wong |
| 2008 | ILP | Logical Hierarchical Hidden Markov Models for Modeling User Activities. | Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong |
| 2008 | IUI | Integrating rich user feedback into intelligent user interfaces. | Simone Stumpf, Erin Sullivan, Erin Fitzhenry, Ian Oberst, Weng-Keen Wong, Margaret M. Burnett |
| 2004 | UAI | Bayesian Biosurveillance of Disease Outbreaks. | Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner |
| 2003 | ICML | Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. | Andrew W. Moore, Weng-Keen Wong |
| 2003 | ICML | Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. | Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner |
| 2002 | AAAI | Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. | Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner |
| 2002 | AMIA | Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. | 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 |
| 1999 | ICML | Distributed Value Functions. | Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller |