I-Jeng Wang

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Intelligent Tutoring

Recursive Filters

Robot Navigation

Top Venues

Publications

Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu
Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. AIED Companion (2) (2024)
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
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR (2023)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. AAAI (2023)
Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV (2023)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. CoRR (2022)
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang
Learning a Group-Aware Policy for Robot Navigation. IROS (2022)
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. Neural Comput. 33 (3) (2021)
Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
Out-of-Distribution Robustness with Deep Recursive Filters. CoRR (2021)
Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager
Out-of-Distribution Robustness with Deep Recursive Filters. ICRA (2021)
Jared Markowitz, Marie Chau, I-Jeng Wang
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. SafeAI@AAAI (2021)
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
TanksWorld: A Multi-Agent Environment for AI Safety Research. CoRR (2020)
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. CoRR (2020)
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
Group-Aware Robot Navigation in Crowded Environments. CoRR (2020)
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. ECCV Workshops (1) (2020)
Kapil D. Katyal, Katie M. Popek, Gregory D. Hager, I-Jeng Wang, Chien-Ming Huang
Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation. HCI (37) (2020)
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR (2020)
Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105 (2019)
Philippe Burlina, Neil Joshi, I-Jeng Wang
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR (2019)
Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. ISBI (2019)
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
Adversarial examples in remote sensing. SIGSPATIAL/GIS (2018)
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
Adversarial Examples in Remote Sensing. CoRR (2018)
Kapil D. Katyal, I-Jeng Wang, Philippe Burlina
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops (2017)
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. CoRR (2017)
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. MVA (2017)
Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang
Zero Shot Deep Learning from Semantic Attributes. ICMLA (2015)
Michael D. Lieberman, Christine D. Piatko, I-Jeng Wang, Joseph Downs, Perry Wilson
JHU/APL CONSENSE: The Confidence-Based System Ensembler. TAC (2015)
Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
Conformal predictors for online track classification. ICASSP (2014)
Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen
A practical test set bound for rank learning. MLSP (2013)
I-Jeng Wang, Edwina Liu, Cash Costello, Christine D. Piatko
JHUAPL TAC-KBP2013 Slot Filler Validation System. TAC (2013)
Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
Local distance metric learning for efficient conformal predictors. MLSP (2012)
Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina
Distributed Consensus on Camera Pose. IEEE Trans. Image Process. 19 (9) (2010)
Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal
Consensus with robustness to outliers via distributed optimization. CDC (2010)
Jong Hyun Lim, Andreas Terzis, I-Jeng Wang
Tracking a non-cooperative mobile target using low-power pulsed Doppler radars. LCN (2010)
Ryan Farrell, Roberto García, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang
Target localization in camera wireless networks. Pervasive Mob. Comput. 5 (2) (2009)
I-Jeng Wang, James C. Spall
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions. Int. J. Control 81 (8) (2008)
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang
Distributed Inference for Network Localization Using Radio Interferometric Ranging. EWSN (2008)
Qinqing Zhang, Lotfi Benmohamed, I-Jeng Wang
Exploiting time and user diversity in distributed medium access control for mobile ad-hoc networks. QSHINE (2008)
Anshu Saksena, I-Jeng Wang
Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints. CDC (2008)
I-Jeng Wang, Jong Hyun Lim, Andreas Terzis
Energy-efficient sensor management in multi-static active sonar networks. ACSCC (2008)
Xin Bai, Dan C. Marinescu, Ladislau Bölöni, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
A macroeconomic model for resource allocation in large-scale distributed systems. J. Parallel Distributed Comput. 68 (2) (2008)
Vladimir Shestak, Edwin K. P. Chong, Howard Jay Siegel, Anthony A. Maciejewski, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley
A hybrid Branch-and-Bound and evolutionary approach for allocating strings of applications to heterogeneous distributed computing systems. J. Parallel Distributed Comput. 68 (4) (2008)
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
Plan switching: an approach to plan execution in changing environments. IPDPS (2006)
Andreas Terzis, Annalingam Anandarajah, Kevin Moore, I-Jeng Wang
Slip surface localization in wireless sensor networks for landslide prediction. IPSN (2006)
Xin Bai, Ladislau Bölöni, Dan C. Marinescu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang
A brokering framework for large-scale heterogeneous systems. IPDPS (2006)
Annalingam Anandarajah, Kevin Moore, Andreas Terzis, I-Jeng Wang
Sensor networks for landslide detection. SenSys (2005)
Anshu Saksena, Dennis Lucarelli, I-Jeng Wang
Bayesian model selection for mining mass spectrometry data. Neural Networks 18 (5-6) (2005)
Cash Costello, I-Jeng Wang
Surveillance Camera Coordination Through Distributed Scheduling. CDC/ECC (2005)
Vladimir Shestak, Edwin K. P. Chong, Anthony A. Maciejewski, Howard Jay Siegel, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley
Resource Allocation for Periodic Applications in a Shipboard Environment. IPDPS (2005)
Dennis Lucarelli, I-Jeng Wang
Decentralized synchronization protocols with nearest neighbor communication. SenSys (2004)
Edward Y. Chang, Yuan-Fang Wang, I-Jeng Wang
Toward building a robust and intelligent video surveillance system: a case study. ICME (2004)
I-Jeng Wang, James C. Spall
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. CDC (2003)
I-Jeng Wang, Christopher P. Diehl, Fernando J. Pineda
A Statistical Model of Proteolytic Digestion. CSB (2003)
Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus, I-Jeng Wang
Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences. ACM Trans. Model. Comput. Simul. 13 (2) (2003)
Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda
Field-Theoretic Methods for Intractable Probabilistic Models. SDM (2003)
Xiaoping Xiong, I-Jeng Wang, Michael C. Fu
Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences. WSC (2002)
Michael C. Fu, Steven I. Marcus, I-Jeng Wang
Monotone Optimal Policies for a Transient Queueing Staffing Problem. Oper. Res. 48 (2) (2000)
Surjamukhi Chatterjea, Edwin K. P. Chong, Howard Jay Siegel, Steven D. Jones, I-Jeng Wang, Michael Jurczyk
Quality of Service Attributes in a Hierarchical System for Global Information Dissemination: A Preliminary Study. PDPTA (1999)
Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni
Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. IEEE Trans. Inf. Theory 45 (2) (1999)
Cheryl Resch, Fernando J. Pineda, I-Jeng Wang
Automatic recognition and assignment of missile pieces in clutter. IJCNN (1999)
I-Jeng Wang, Edwin K. P. Chong
A deterministic analysis of stochastic approximation with randomized directions. IEEE Trans. Autom. Control. 43 (12) (1998)
I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni
Weighted averaging and stochastic approximation. Math. Control. Signals Syst. 10 (1) (1997)