| 2025 | SIGIR | AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing. | Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang |
| 2024 | UAI | Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains. | Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi |
| 2023 | AISTATS | A New Modeling Framework for Continuous, Sequential Domains. | Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi |
| 2022 | AISTATS | Conditionally Tractable Density Estimation using Neural Networks. | Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi |
| 2021 | AISTATS | Dynamic Cutset Networks. | Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate |
| 2021 | ISMAR | Personal Identifiability and Obfuscation of User Tracking Data From VR Training Sessions. | Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi |
| 2021 | VR | Personal Identifiability of User Tracking Data During VR Training. | Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi |
| 2020 | ISMAR | Extracting Velocity-Based User-Tracking Features to Predict Learning Gains in a Virtual Reality Training Application. | Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi |
| 2017 | RTCSA | Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads. | Hailiang Dong, Edwin Hsing-Mean Sha, Weiwen Jiang, Xianzhang Chen, Runyu Zhang, Qingfeng Zhuge |