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2020 – today
- 2024
[c39]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: 38-46- [i12]Gregory Canal, Vladimir Leung, Philip Sage, Eric Heim, I-Jeng Wang:
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment. CoRR abs/2408.01301 (2024) - 2023
- [c38]Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang:
A Risk-Sensitive Approach to Policy Optimization. AAAI 2023: 15019-15027 - [c37]Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina:
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023: 1380-1389 - [i11]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 abs/2305.17300 (2023) - 2022
- [c36]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: 11328-11335 - [i10]Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora
, I-Jeng Wang:
A Risk-Sensitive Approach to Policy Optimization. CoRR abs/2208.09106 (2022) - 2021
- [j13]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): 802-826 (2021) - [c35]Jared Markowitz, Marie Chau, I-Jeng Wang:
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. SafeAI@AAAI 2021 - [c34]Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager:
Out-of-Distribution Robustness with Deep Recursive Filters. ICRA 2021: 14134-14140 - [i9]Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager:
Out-of-Distribution Robustness with Deep Recursive Filters. CoRR abs/2104.02799 (2021) - 2020
- [c33]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: 105-119 - [c32]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: 353-368 - [i8]William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR abs/2002.11169 (2020) - [i7]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 abs/2002.11174 (2020) - [i6]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 abs/2005.00656 (2020) - [i5]Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang:
Group-Aware Robot Navigation in Crowded Environments. CoRR abs/2012.12291 (2020)
2010 – 2019
- 2019
- [j12]Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105: 46-53 (2019) - [c31]Philippe Burlina, Neil Joshi, I-Jeng Wang:
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR 2019: 11507-11516 - [c30]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: 1910-1914 - 2018
- [c29]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial examples in remote sensing. SIGSPATIAL/GIS 2018: 408-411 - [i4]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial Examples in Remote Sensing. CoRR abs/1805.10997 (2018) - 2017
- [c28]Kapil D. Katyal, I-Jeng Wang, Philippe Burlina:
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops 2017: 490-491 - [c27]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: 194-197 - [i3]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 abs/1712.03151 (2017) - 2015
- [c26]Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang:
Zero Shot Deep Learning from Semantic Attributes. ICMLA 2015: 871-876 - [i2]Michael D. Lieberman, Christine D. Piatko, I-Jeng Wang, Joseph Downs, Perry Wilson:
JHU/APL CONSENSE: The Confidence-Based System Ensembler. TAC 2015 - 2014
- [c25]Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens:
Conformal predictors for online track classification. ICASSP 2014: 2922-2926 - 2013
- [c24]Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen:
A practical test set bound for rank learning. MLSP 2013: 1-6 - [i1]I-Jeng Wang, Edwina Liu, Cash Costello, Christine D. Piatko:
JHUAPL TAC-KBP2013 Slot Filler Validation System. TAC 2013 - 2012
- [c23]Matthew D. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I-Jeng Wang, Dennis Lucarelli, Keir Christian Lauritzen:
Exploiting adaptive beamforming for compressive measurements. SAM 2012: 337-340 - [c22]Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang:
Local distance metric learning for efficient conformal predictors. MLSP 2012: 1-6 - 2010
- [j11]Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina:
Distributed Consensus on Camera Pose. IEEE Trans. Image Process. 19(9): 2396-2407 (2010) - [c21]Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal:
Consensus with robustness to outliers via distributed optimization. CDC 2010: 2111-2117 - [c20]Jong Hyun Lim, Andreas Terzis, I-Jeng Wang:
Tracking a non-cooperative mobile target using low-power pulsed Doppler radars. LCN 2010: 913-920
2000 – 2009
- 2009
- [j10]Ryan Farrell, Roberto García, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang:
Target localization in camera wireless networks. Pervasive Mob. Comput. 5(2): 165-181 (2009) - 2008
- [j9]I-Jeng Wang, James C. Spall:
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions. Int. J. Control 81(8): 1232-1238 (2008) - [j8]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): 182-199 (2008) - [j7]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): 410-426 (2008) - [c19]I-Jeng Wang, Jong Hyun Lim, Andreas Terzis:
Energy-efficient sensor management in multi-static active sonar networks. ACSCC 2008: 1611-1616 - [c18]Anshu Saksena, I-Jeng Wang:
Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints. CDC 2008: 1109-1114 - [c17]Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang:
Distributed Inference for Network Localization Using Radio Interferometric Ranging. EWSN 2008: 52-73 - [c16]Qinqing Zhang, Lotfi Benmohamed, I-Jeng Wang:
Exploiting time and user diversity in distributed medium access control for mobile ad-hoc networks. QSHINE 2008: 20 - 2006
- [c15]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 - [c14]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 - [c13]Andreas Terzis, Annalingam Anandarajah, Kevin Moore, I-Jeng Wang:
Slip surface localization in wireless sensor networks for landslide prediction. IPSN 2006: 109-116 - 2005
- [j6]Anshu Saksena, Dennis Lucarelli, I-Jeng Wang:
Bayesian model selection for mining mass spectrometry data. Neural Networks 18(5-6): 843-849 (2005) - [c12]Cash Costello, I-Jeng Wang:
Surveillance Camera Coordination Through Distributed Scheduling. CDC/ECC 2005: 1485-1490 - [c11]Anshu Saksena, Dennis Lucarelli, I-Jeng Wang:
Using domain knowledge to constrain structure learning in a Bayesian bioagent detector. IJCNN 2005: 2601-2606 - [c10]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 - [c9]Annalingam Anandarajah, Kevin Moore, Andreas Terzis, I-Jeng Wang:
Sensor networks for landslide detection. SenSys 2005: 268-269 - 2004
- [c8]Edward Y. Chang, Yuan-Fang Wang, I-Jeng Wang:
Toward building a robust and intelligent video surveillance system: a case study. ICME 2004: 1391-1394 - [c7]Dennis Lucarelli, I-Jeng Wang:
Decentralized synchronization protocols with nearest neighbor communication. SenSys 2004: 62-68 - 2003
- [j5]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): 180-209 (2003) - [c6]I-Jeng Wang, James C. Spall:
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. CDC 2003: 3808-3813 - [c5]I-Jeng Wang, Christopher P. Diehl, Fernando J. Pineda:
A Statistical Model of Proteolytic Digestion. CSB 2003: 506-508 - [c4]Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda:
Field-Theoretic Methods for Intractable Probabilistic Models. SDM 2003: 294-298 - 2002
- [c3]Xiaoping Xiong, I-Jeng Wang, Michael C. Fu:
Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences. WSC 2002: 285-291 - 2000
- [j4]Michael C. Fu, Steven I. Marcus, I-Jeng Wang:
Monotone Optimal Policies for a Transient Queueing Staffing Problem. Oper. Res. 48(2): 327-331 (2000)
1990 – 1999
- 1999
- [j3]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): 810-814 (1999) - [c2]Cheryl Resch, Fernando J. Pineda, I-Jeng Wang:
Automatic recognition and assignment of missile pieces in clutter. IJCNN 1999: 3177-3181 - [c1]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: 1076-1082 - 1998
- [j2]I-Jeng Wang, Edwin K. P. Chong:
A deterministic analysis of stochastic approximation with randomized directions. IEEE Trans. Autom. Control. 43(12): 1745-1749 (1998) - 1997
- [j1]I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Weighted averaging and stochastic approximation. Math. Control. Signals Syst. 10(1): 41-60 (1997)
Coauthor Index
aka: Philippe M. Burlina
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