I-Jeng Wang - RankMe

65 papers A* 3A 7B 4C 2Misc 6Journal 24Unranked 19

Year	Rank	Type	Title / 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