I-Jeng Wang

According to our database, I-Jeng Wang authored at least 57 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.

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

CoRR, 2023

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Risk-Sensitive Approach to Policy Optimization.

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning a Group-Aware Policy for Robot Navigation.

Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection.

William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina

Neural Comput., 2021

Out-of-Distribution Robustness with Deep Recursive Filters.

Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents.

Jared Markowitz, Marie Chau, I-Jeng Wang

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

Group-Aware Robot Navigation in Crowded Environments.

Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang

CoRR, 2020

TanksWorld: A Multi-Agent Environment for AI Safety Research.

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

CoRR, 2020

Unsupervised Semantic Attribute Discovery and Control in Generative Models.

William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina

CoRR, 2020

Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation.

Kapil D. Katyal, Katie M. Popek, Gregory D. Hager, I-Jeng Wang, Chien-Ming Huang

Proceedings of the Artificial Intelligence in HCI, 2020

Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks.

Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Deep embeddings for novelty detection in myopathy.

Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda

Comput. Biol. Medicine, 2019

Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening.

Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection.

Philippe Burlina, Neil Joshi, I-Jeng Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Adversarial examples in remote sensing.

Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning.

Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang

CoRR, 2017

Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning.

Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks.

Kapil D. Katyal, I-Jeng Wang, Philippe Burlina

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

JHU/APL CONSENSE: The Confidence-Based System Ensembler.

Michael D. Lieberman, Christine D. Piatko, I-Jeng Wang, Joseph Downs, Perry Wilson

Proceedings of the 2015 Text Analysis Conference, 2015

Zero Shot Deep Learning from Semantic Attributes.

Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Conformal predictors for online track classification.

Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

JHUAPL TAC-KBP2013 Slot Filler Validation System.

I-Jeng Wang, Edwina Liu, Cash Costello, Christine D. Piatko

Proceedings of the Sixth Text Analysis Conference, 2013

A practical test set bound for rank learning.

Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012

Local distance metric learning for efficient conformal predictors.

Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Exploiting adaptive beamforming for compressive measurements.

Matthew D. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I-Jeng Wang, Dennis Lucarelli, Keir C. Lauritzen

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

2010

Distributed Consensus on Camera Pose.

Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina

IEEE Trans. Image Process., 2010

Tracking a non-cooperative mobile target using low-power pulsed Doppler radars.

Jong Hyun Lim, Andreas Terzis, I-Jeng Wang

Proceedings of the 35th Annual IEEE Conference on Local Computer Networks, 2010

Consensus with robustness to outliers via distributed optimization.

Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Target localization in camera wireless networks.

Ryan Farrell, Roberto García, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang

Pervasive Mob. Comput., 2009

2008

A hybrid Branch-and-Bound and evolutionary approach for allocating strings of applications to heterogeneous distributed computing systems.

Vladimir Shestak, Edwin K. P. Chong, Howard Jay Siegel, Anthony A. Maciejewski, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley

J. Parallel Distributed Comput., 2008

A macroeconomic model for resource allocation in large-scale distributed systems.

Xin Bai, Dan C. Marinescu, Ladislau Bölöni, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang

J. Parallel Distributed Comput., 2008

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions.

I-Jeng Wang, James C. Spall

Int. J. Control, 2008

Exploiting time and user diversity in distributed medium access control for mobile ad-hoc networks.

Qinqing Zhang, Lotfi Benmohamed, I-Jeng Wang

Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, 2008

Distributed Inference for Network Localization Using Radio Interferometric Ranging.

Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang

Proceedings of the Wireless Sensor Networks, 5th European Conference, 2008

Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints.

Anshu Saksena, I-Jeng Wang

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Energy-efficient sensor management in multi-static active sonar networks.

I-Jeng Wang, Jong Hyun Lim, Andreas Terzis

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2006

Slip surface localization in wireless sensor networks for landslide prediction.

Andreas Terzis, Annalingam Anandarajah, Kevin Moore, I-Jeng Wang

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Plan switching: an approach to plan execution in changing environments.

Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

A brokering framework for large-scale heterogeneous systems.

Xin Bai, Ladislau Bölöni, Dan C. Marinescu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

2005

Bayesian model selection for mining mass spectrometry data.

Anshu Saksena, Dennis Lucarelli, I-Jeng Wang

Neural Networks, 2005

Sensor networks for landslide detection.

Annalingam Anandarajah, Kevin Moore, Andreas Terzis, I-Jeng Wang

Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 2005

Resource Allocation for Periodic Applications in a Shipboard Environment.

Vladimir Shestak, Edwin K. P. Chong, Anthony A. Maciejewski, Howard Jay Siegel, Lotfi Benmohamed, I-Jeng Wang, Rose A. Daley

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Surveillance Camera Coordination Through Distributed Scheduling.

Cash Costello, I-Jeng Wang

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Decentralized synchronization protocols with nearest neighbor communication.

Dennis Lucarelli, I-Jeng Wang

Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, 2004

Toward building a robust and intelligent video surveillance system: a case study.

Edward Y. Chang, Yuan-Fang Wang, I-Jeng Wang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003

Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences.

Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus, I-Jeng Wang

ACM Trans. Model. Comput. Simul., 2003

Field-Theoretic Methods for Intractable Probabilistic Models.

Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda

Proceedings of the Third SIAM International Conference on Data Mining, 2003

A Statistical Model of Proteolytic Digestion.

I-Jeng Wang, Christopher P. Diehl, Fernando J. Pineda

Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions.

I-Jeng Wang, James C. Spall

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences.

Xiaoping Xiong, I-Jeng Wang, Michael C. Fu

Proceedings of the 34th Winter Simulation Conference: Exploring New Frontiers, 2002

2000

Monotone Optimal Policies for a Transient Queueing Staffing Problem.

Michael C. Fu, Steven I. Marcus, I-Jeng Wang

Oper. Res., 2000

1999

Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms.

Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni

IEEE Trans. Inf. Theory, 1999

Quality of Service Attributes in a Hierarchical System for Global Information Dissemination: A Preliminary Study.

Surjamukhi Chatterjea, Edwin K. P. Chong, Howard Jay Siegel, Steven D. Jones, I-Jeng Wang, Michael Jurczyk

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

Automatic recognition and assignment of missile pieces in clutter.

Cheryl Resch, Fernando J. Pineda, I-Jeng Wang

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A deterministic analysis of stochastic approximation with randomized directions.

I-Jeng Wang, Edwin K. P. Chong

IEEE Trans. Autom. Control., 1998

1997

Weighted averaging and stochastic approximation.

I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni

Math. Control. Signals Syst., 1997