| 2025 | AIES | Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study. | 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 | AIED | Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. | Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu |
| 2023 | AAAI | A Risk-Sensitive Approach to Policy Optimization. | Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang |
| 2023 | WACV | Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? | Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina |
| 2022 | IROS | 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 |
| 2021 | AAAI | Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. | Jared Markowitz, Marie Chau, I-Jeng Wang |
| 2021 | ICRA | Out-of-Distribution Robustness with Deep Recursive Filters. | Kapil D. Katyal, I-Jeng Wang, Gregory D. Hager |
| 2020 | ECCV | 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 |
| 2020 | HCI | Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation. | Kapil D. Katyal, Katie M. Popek, Gregory D. Hager, I-Jeng Wang, Chien-Ming Huang |
| 2019 | CVPR | Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. | Philippe Burlina, Neil Joshi, I-Jeng Wang |
| 2017 | CVPR | Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. | Kapil D. Katyal, I-Jeng Wang, Philippe Burlina |
| 2017 | MVA | Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. | Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang |
| 2015 | ICMLA | Zero Shot Deep Learning from Semantic Attributes. | Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang |
| 2014 | ICASSP | Conformal predictors for online track classification. | Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens |
| 2010 | LCN | Tracking a non-cooperative mobile target using low-power pulsed Doppler radars. | Jong Hyun Lim, Andreas Terzis, I-Jeng Wang |
| 2008 | ACSSC | Energy-efficient sensor management in multi-static active sonar networks. | I-Jeng Wang, Jong Hyun Lim, Andreas Terzis |
| 2008 | EWSN | Distributed Inference for Network Localization Using Radio Interferometric Ranging. | Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang |
| 2008 | Qshine | Exploiting time and user diversity in distributed medium access control for mobile ad-hoc networks. | Qinqing Zhang, Lotfi Benmohamed, I-Jeng Wang |
| 2005 | IJCNN | Using domain knowledge to constrain structure learning in a Bayesian bioagent detector. | Anshu Saksena, Dennis Lucarelli, I-Jeng Wang |
| 2005 | SENSYS | Sensor networks for landslide detection. | Annalingam Anandarajah, Kevin Moore, Andreas Terzis, I-Jeng Wang |
| 2004 | SENSYS | Decentralized synchronization protocols with nearest neighbor communication. | Dennis Lucarelli, I-Jeng Wang |
| 2003 | SDM | Field-Theoretic Methods for Intractable Probabilistic Models. | Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda |
| 2002 | WSC | Optimization via simulation: randomized-direction stochastic approximation algorithms using deterministic sequences. | Xiaoping Xiong, I-Jeng Wang, Michael C. Fu |
| 1999 | IJCNN | Automatic recognition and assignment of missile pieces in clutter. | Cheryl Resch, Fernando J. Pineda, I-Jeng Wang |
| 1999 | PDPTA | 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 |