| Personal identifiability and obfuscation of user tracking data from VR training sessions AG Moore, RP McMahan, H Dong, N Ruozzi 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2021 | 32 | 2021 |
| Extracting velocity-based user-tracking features to predict learning gains in a virtual reality training application AG Moore, RP McMahan, H Dong, N Ruozzi 2020 IEEE international symposium on mixed and augmented reality (ISMAR …, 2020 | 26 | 2020 |
| Personal identifiability of user tracking data during VR training AG Moore, RP McMahan, H Dong, N Ruozzi 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021 | 15 | 2021 |
| On the design of minimal-cost pipeline systems satisfying hard/soft real-time constraints W Jiang, EHM Sha, Q Zhuge, L Yang, H Dong, X Chen IEEE Transactions on Emerging Topics in Computing 9 (1), 24-34, 2018 | 8 | 2018 |
| Towards the design of efficient and consistent index structure with minimal write activities for non-volatile memory EHM Sha, W Jiang, H Dong, Z Ma, R Zhang, X Chen, Q Zhuge IEEE Transactions on Computers 67 (3), 432-448, 2017 | 7 | 2017 |
| Optimal functional unit assignment and voltage selection for pipelined MPSoC with guaranteed probability on time performance W Jiang, EHM Sha, Q Zhuge, H Dong, X Chen ACM SIGPLAN Notices 52 (5), 41-50, 2017 | 7 | 2017 |
| Dynamic cutset networks C Roy, T Rahman, H Dong, N Ruozzi, V Gogate International Conference on Artificial Intelligence and Statistics, 3106-3114, 2021 | 6 | 2021 |
| On the design of reliable heterogeneous systems via checkpoint placement and core assignment E Sha, H Dong, W Jiang, Q Zhuge, X Chen, L Yang Proceedings of the 2018 Great Lakes Symposium on VLSI, 475-478, 2018 | 3 | 2018 |
| A new modeling framework for continuous, sequential domains H Dong, J Amato, V Gogate, N Ruozzi International Conference on Artificial Intelligence and Statistics, 11118-11131, 2023 | 2 | 2023 |
| Conditionally tractable density estimation using neural networks H Dong, C Roy, T Rahman, V Gogate, N Ruozzi International Conference on Artificial Intelligence and Statistics, 6933-6946, 2022 | 2 | 2022 |
| Learning distributionally robust tractable probabilistic models in continuous domains H Dong, J Amato, VG Gogate, N Ruozzi The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | | 2024 |
| Learning Tractable Probabilistic Graphical Models in Continuous and Temporal Domains H Dong | | 2023 |
| Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads H Dong, EHM Sha, W Jiang, X Chen, R Zhang, Q Zhuge 2017 IEEE 23rd International Conference on Embedded and Real-Time Computing …, 2017 | | 2017 |
Nicholas RuozziUniversity of Texas at DallasVerified email at utdallas.edu