I-Jeng Wang

65 papers A* 3A 7B 4C 2Misc 6Journal 24Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study.
CoRR
Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu
2024 J jnl
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment.
CoRR
Gregory Canal, Vladimir Leung, Philip Sage, Eric Heim, I-Jeng Wang
2024 — conf
Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis.
AIED Companion (2)
Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu
2023 A* conf
A Risk-Sensitive Approach to Policy Optimization.
AAAI
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2023 A conf
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?
WACV
Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina
2023 J jnl
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.
CoRR
Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann
2022 J jnl
A Risk-Sensitive Approach to Policy Optimization.
CoRR
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2022 A conf
Learning a Group-Aware Policy for Robot Navigation.
IROS
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang
2021 — conf
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents.
SafeAI@AAAI
Jared Markowitz, Marie Chau, I-Jeng Wang
2021 A* conf
Out-of-Distribution Robustness with Deep Recursive Filters.
ICRA
Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
2021 J jnl
Out-of-Distribution Robustness with Deep Recursive Filters.
CoRR
Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
2021 J jnl
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection.
Neural Comput.
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
2020 J jnl
Group-Aware Robot Navigation in Crowded Environments.
CoRR
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
2020 J jnl
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks.
CoRR
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
2020 — conf
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks.
ECCV Workshops (1)
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
2020 — conf
Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation.
HCI (37)
Kapil D. Katyal, Katie M. Popek, Gregory D. Hager, I-Jeng Wang, Chien-Ming Huang
2020 J jnl
TanksWorld: A Multi-Agent Environment for AI Safety Research.
CoRR
Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
2020 J jnl
Unsupervised Semantic Attribute Discovery and Control in Generative Models.
CoRR
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
2019 J jnl
Deep embeddings for novelty detection in myopathy.
Comput. Biol. Medicine
Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
2019 — conf
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening.
ISBI
Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
2019 A* conf
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection.
CVPR
Philippe Burlina, Neil Joshi, I-Jeng Wang
2018 J jnl
Adversarial Examples in Remote Sensing.
CoRR
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
2018 — conf
Adversarial examples in remote sensing.
SIGSPATIAL/GIS
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
2017 J jnl
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning.
CoRR
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
2017 Misc conf
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning.
MVA
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
2017 — conf
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks.
CVPR Workshops
Kapil D. Katyal, I-Jeng Wang, Philippe Burlina
2015 — conf
JHU/APL CONSENSE: The Confidence-Based System Ensembler.
TAC
Michael D. Lieberman, Christine D. Piatko, I-Jeng Wang, Joseph Downs, Perry Wilson
2015 C conf
Zero Shot Deep Learning from Semantic Attributes.
ICMLA
Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang
2014 Misc conf
Conformal predictors for online track classification.
ICASSP
Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
2013 — conf
A practical test set bound for rank learning.
MLSP
Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen
2013 — conf
JHUAPL TAC-KBP2013 Slot Filler Validation System.
TAC
I-Jeng Wang, Edwina Liu, Cash Costello, Christine D. Piatko
2012 — conf
Exploiting adaptive beamforming for compressive measurements.
SAM
Matthew D. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I-Jeng Wang, Dennis Lucarelli, Keir Christian Lauritzen
2012 — conf
Local distance metric learning for efficient conformal predictors.
MLSP
Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
2010 — conf
Consensus with robustness to outliers via distributed optimization.
CDC
Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal
2010 J jnl
Distributed Consensus on Camera Pose.
IEEE Trans. Image Process.
Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina
2010 B conf
Tracking a non-cooperative mobile target using low-power pulsed Doppler radars.
LCN
Jong Hyun Lim, Andreas Terzis, I-Jeng Wang
2009 J jnl
Target localization in camera wireless networks.
Pervasive Mob. Comput.
Ryan Farrell, Roberto García, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang
2008 J jnl
A hybrid Branch-and-Bound and evolutionary approach for allocating strings of applications to heterogeneous distributed computing systems.
J. Parallel Distributed Comput.
Vladimir Shestak, Edwin K. P. Chong, Howard Jay Siegel, Anthony A. Maciejewski, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley
2008 J jnl
A macroeconomic model for resource allocation in large-scale distributed systems.
J. Parallel Distributed Comput.
Xin Bai, Dan C. Marinescu, Ladislau Bölöni, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
2008 B conf
Distributed Inference for Network Localization Using Radio Interferometric Ranging.
EWSN
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang
2008 — conf
Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints.
CDC
Anshu Saksena, I-Jeng Wang
2008 — conf
Energy-efficient sensor management in multi-static active sonar networks.
ACSCC
I-Jeng Wang, Jong Hyun Lim, Andreas Terzis
2008 C conf
Exploiting time and user diversity in distributed medium access control for mobile ad-hoc networks.
QSHINE
Qinqing Zhang, Lotfi Benmohamed, I-Jeng Wang
2008 J jnl
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions.
Int. J. Control
I-Jeng Wang, James C. Spall
2006 A conf
A brokering framework for large-scale heterogeneous systems.
IPDPS
Xin Bai, Ladislau Bölöni, Dan C. Marinescu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
2006 A conf
Plan switching: an approach to plan execution in changing environments.
IPDPS
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
2006 — conf
Slip surface localization in wireless sensor networks for landslide prediction.
IPSN
Andreas Terzis, Annalingam Anandarajah, Kevin Moore, I-Jeng Wang
2005 J jnl
Bayesian model selection for mining mass spectrometry data.
Neural Networks
Anshu Saksena, Dennis Lucarelli, I-Jeng Wang
2005 A conf
Resource Allocation for Periodic Applications in a Shipboard Environment.
IPDPS
Vladimir Shestak, Edwin K. P. Chong, Anthony A. Maciejewski, Howard Jay Siegel, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley
2005 Misc conf
Sensor networks for landslide detection.
SenSys
Annalingam Anandarajah, Kevin Moore, Andreas Terzis, I-Jeng Wang
2005 — conf
Surveillance Camera Coordination Through Distributed Scheduling.
CDC/ECC
Cash Costello, I-Jeng Wang
2005 B conf
Using domain knowledge to constrain structure learning in a Bayesian bioagent detector.
IJCNN
Anshu Saksena, Dennis Lucarelli, I-Jeng Wang
2004 Misc conf
Decentralized synchronization protocols with nearest neighbor communication.
SenSys
Dennis Lucarelli, I-Jeng Wang
2004 A conf
Toward building a robust and intelligent video surveillance system: a case study.
ICME
Edward Y. Chang, Yuan-Fang Wang, I-Jeng Wang
2003 — conf
A Statistical Model of Proteolytic Digestion.
CSB
I-Jeng Wang, Christopher P. Diehl, Fernando J. Pineda
2003 A conf
Field-Theoretic Methods for Intractable Probabilistic Models.
SDM
Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda
2003 — conf
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions.
CDC
I-Jeng Wang, James C. Spall
2003 J jnl
Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences.
ACM Trans. Model. Comput. Simul.
Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus, I-Jeng Wang
2002 Misc conf
Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences.
WSC
Xiaoping Xiong, I-Jeng Wang, Michael C. Fu
2000 J jnl
Monotone Optimal Policies for a Transient Queueing Staffing Problem.
Oper. Res.
Michael C. Fu, Steven I. Marcus, I-Jeng Wang
1999 B conf
Automatic recognition and assignment of missile pieces in clutter.
IJCNN
Cheryl Resch, Fernando J. Pineda, I-Jeng Wang
1999 J jnl
Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms.
IEEE Trans. Inf. Theory
Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni
1999 Misc conf
Quality of Service Attributes in a Hierarchical System for Global Information Dissemination: A Preliminary Study.
PDPTA
Surjamukhi Chatterjea, Edwin K. P. Chong, Howard Jay Siegel, Steven D. Jones, I-Jeng Wang, Michael Jurczyk
1998 J jnl
A deterministic analysis of stochastic approximation with randomized directions.
IEEE Trans. Autom. Control.
I-Jeng Wang, Edwin K. P. Chong
1997 J jnl
Weighted averaging and stochastic approximation.
Math. Control. Signals Syst.
I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni