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2020 – today
- 2024
[c50]Jun Chen, Weng-Keen Wong, Bechir Hamdaoui:
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. ICC 2024: 3567-3572- [c49]Mitchell Black, Lucy Lin, Weng-Keen Wong, Amir Nayyeri:
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering. ICML 2024 - [i15]Jun Chen, Weng-Keen Wong, Bechir Hamdaoui:
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. CoRR abs/2403.04036 (2024) - [i14]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 abs/2406.07574 (2024) - 2023
- [j17]Jared Gaskin, Abdurrahman Elmaghbub
, Bechir Hamdaoui, Weng-Keen Wong:
Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. IEEE Access 11: 86801-86823 (2023) - [c48]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: 7981-7990 - [c47]Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. ICC 2023: 6199-6204 - [c46]Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub:
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. ISCC 2023: 1122-1128 - [i13]Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. CoRR abs/2301.12360 (2023) - [i12]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 abs/2303.10774 (2023) - [i11]Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub:
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. CoRR abs/2305.09594 (2023) - [i10]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 abs/2312.03642 (2023) - 2022
- [c45]Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong:
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CNS 2022: 1-9 - [c44]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: 4318-4323 - [i9]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 abs/2202.09777 (2022) - [i8]Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong:
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. CoRR abs/2209.00786 (2022) - 2021
- [j16]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: 103455 (2021) - [c43]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: 36-40 - [i7]Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. CoRR abs/2101.12446 (2021) - [i6]Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng:
Contrastive Identification of Covariate Shift in Image Data. CoRR abs/2108.08000 (2021) - 2020
- [j15]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): 49:1-49:32 (2020) - [c42]Travis Moore, Weng-Keen Wong:
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. AISTATS 2020: 2677-2686 - [c41]Jiaqi Bao, Bechir Hamdaoui, Weng-Keen Wong:
IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. IWCMC 2020: 565-570
2010 – 2019
- 2019
- [j14]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): 56-65 (2019) - [j13]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong:
Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13(1): 1:1-1:22 (2019) - [i5]Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual States for Atari Agents via Generative Deep Learning. CoRR abs/1909.12969 (2019) - 2018
- [c40]Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li:
Open Set Learning with Counterfactual Images. ECCV (6) 2018: 620-635 - [c39]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan:
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP 2018: 2281-2285 - [c38]Travis Moore, Weng-Keen Wong:
An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. UAI 2018: 756-765 - 2017
- [i4]Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui:
Incorporating Feedback into Tree-based Anomaly Detection. CoRR abs/1708.09441 (2017) - 2016
- [j12]Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian:
Implementation of a Gaussian process-based machine learning grasp predictor. Auton. Robots 40(4): 687-699 (2016) - [c37]Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Incorporating Expert Feedback into Active Anomaly Discovery. ICDM 2016: 853-858 - [c36]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: 2330-2339 - 2015
- [j11]Taj Morton, Weng-Keen Wong, Molly Megraw:
TIPR: transcription initiation pattern recognition on a genome scale. Bioinform. 31(23): 3725-3732 (2015) - [c35]Travis Moore, Weng-Keen Wong:
Discovering Hotspots and Coldspots of Species Richness in eBird Data. AAAI Workshop: Computational Sustainability 2015 - [c34]Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf:
Principles of Explanatory Debugging to Personalize Interactive Machine Learning. IUI 2015: 126-137 - [i3]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong:
Sequential Feature Explanations for Anomaly Detection. CoRR abs/1503.00038 (2015) - [i2]Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong:
Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR abs/1503.01158 (2015) - 2014
- [j10]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): 307-323 (2014) - [c33]Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong:
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. AAAI 2014: 500-507 - [c32]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: 3017-3023 - [c31]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: 60-61 - [c30]Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong:
Taming a Fuzzer Using Delta Debugging Trails. ICDM Workshops 2014: 840-843 - [c29]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: 3353-3360 - [c28]Jun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong:
Latent dirichlet allocation based diversified retrieval for e-commerce search. WSDM 2014: 463-472 - 2013
- [j9]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: 56-74 (2013) - [j8]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): 10-20 (2013) - [c27]Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost:
Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. IAAI 2013: 1575-1581 - [c26]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: 1393-1401 - [c25]Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr:
Taming compiler fuzzers. PLDI 2013: 197-208 - [c24]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: 3-10 - 2012
- [j7]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): 75:1-75:38 (2012) - [c23]Simone Stumpf, Margaret M. Burnett, Volkmar Pipek, Weng-Keen Wong:
End-user interactions with intelligent and autonomous systems. CHI Extended Abstracts 2012: 2755-2758 - [c22]Jun Yu, Steve Kelling, Jeff Gerbracht, Weng-Keen Wong:
Automated data verification in a large-scale citizen science project: A case study. eScience 2012: 1-8 - [c21]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: 2229-2236 - [c20]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: 285-288 - [i1]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. CoRR abs/1207.4122 (2012) - 2011
- [j6]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): 2:1-2:31 (2011) - [c19]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: 1575-1578 - [c18]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: 20-27 - [c17]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: 171-186 - [c16]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: 115-124 - [c15]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: 47-54 - 2010
- [j5]Douglas W. Bryant Jr., Rongkun Shen, Henry D. Priest, Weng-Keen Wong, Todd C. Mockler:
Supersplat - spliced RNA-seq alignment. Bioinform. 26(12): 1500-1505 (2010) - [j4]Dragos D. Margineantu, Weng-Keen Wong, Denver Dash:
Machine learning algorithms for event detection. Mach. Learn. 79(3): 257-259 (2010) - [c14]Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson:
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. ICDM 2010: 1157-1162 - [c13]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: 41-48
2000 – 2009
- 2009
- [j3]Douglas W. Bryant Jr., Weng-Keen Wong, Todd C. Mockler:
QSRA - a quality-value guided de novo short read assembler. BMC Bioinform. 10 (2009) - [j2]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): 639-662 (2009) - [c12]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 - [c11]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: 187-196 - [c10]Pavan Vatturi, Weng-Keen Wong:
Category detection using hierarchical mean shift. KDD 2009: 847-856 - 2008
- [c9]Jianqiang Shen, Lida Li, Weng-Keen Wong:
Markov Blanket Feature Selection for Support Vector Machines. AAAI 2008: 696-701 - [c8]Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong:
Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP 2008: 192-209 - [c7]Simone Stumpf, Erin Sullivan, Erin Fitzhenry, Ian Oberst, Weng-Keen Wong, Margaret M. Burnett:
Integrating rich user feedback into intelligent user interfaces. IUI 2008: 50-59 - 2005
- [j1]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: 1961-1998 (2005) - 2004
- [c6]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. UAI 2004: 94-103 - 2003
- [c5]Andrew W. Moore, Weng-Keen Wong:
Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. ICML 2003: 552-559 - [c4]Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner:
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML 2003: 808-815 - 2002
- [c3]Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner:
Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI 2002: 217-223 - [c2]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
1990 – 1999
- 1999
- [c1]Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller:
Distributed Value Functions. ICML 1999: 371-378
Coauthor Index
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