Weng-Keen Wong
Orcid: 0000-0002-6673-343X
According to our database1,
Weng-Keen Wong
authored at least 71 papers
between 1999 and 2024.
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Bibliography
2024
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift.
Proceedings of the IEEE International Conference on Communications, 2024
2023
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data.
CoRR, 2023
IEEE Access, 2023
Proceedings of the IEEE Symposium on Computers and Communications, 2023
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation.
Proceedings of the IEEE International Conference on Communications, 2023
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification.
Proceedings of the IEEE International Conference on Communications, 2022
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022
2021
Counterfactual state explanations for reinforcement learning agents via generative deep learning.
Artif. Intell., 2021
Proceedings of the 2021 IEEE Visualization Conference, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
ACM Trans. Knowl. Discov. Data, 2019
Commun. ACM, 2019
2018
An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
2016
Auton. Robots, 2016
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Bioinform., 2015
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015
Proceedings of the Computational Sustainability, 2015
2014
You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.
IEEE Trans. Software Eng., 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Evaluating the efficacy of grasp metrics for utilization in a Gaussian Process-based grasp predictor.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014
Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
AI Mag., 2013
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.
Artif. Intell., 2013
Too much, too little, or just right? Ways explanations impact end users' mental models.
Proceedings of the 2013 IEEE Symposium on Visual Languages and Human Centric Computing, 2013
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013
2012
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
ACM Trans. Intell. Syst. Technol., 2012
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012
Proceedings of the 8th IEEE International Conference on E-Science, 2012
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012
2011
ACM Trans. Interact. Intell. Syst., 2011
Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study.
Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011
Proceedings of the End-User Development - Third International Symposium, 2011
Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project.
Proceedings of the IEEE 7th International Conference on E-Science, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling.
Proceedings of the ICDM 2010, 2010
2009
Int. J. Hum. Comput. Stud., 2009
BMC Bioinform., 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Fixing the program my computer learned: barriers for end users, challenges for the machine.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009
2008
Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2005
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
J. Mach. Learn. Res., 2005
2004
2003
Proceedings of the Machine Learning, 2003
Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning.
Proceedings of the Machine Learning, 2003
2002
Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System.
Proceedings of the AMIA 2002, 2002
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
1999
Distributed Value Functions.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999