| Recurrent Attentive Neural Process for Sequential Data S Qin, J Zhu, J Qin, W Wang, D Zhao arXiv preprint arXiv:1910.09323, 2019 | 18 | 2019 |
| Understanding v2v driving scenarios through traffic primitives W Wang, W Zhang, J Zhu, D Zhao IEEE Transactions on Intelligent Transportation Systems, 2020 | 13 | 2020 |
| Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios C Zhang, J Zhu, W Wang, J Xi arXiv preprint arXiv:2003.00759, 2020 | 10 | 2020 |
| Modeling multi-vehicle interaction scenarios using gaussian random field Y Guo, VV Kalidindi, M Arief, W Wang, J Zhu, H Peng, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3974-3980, 2019 | 10 | 2019 |
| Clustering Driving Encounter Scenarios Using Connected Vehicle Trajectories W Wang, A Ramesh, J Zhu, J Li, D Zhao IEEE Transactions on Intelligent Vehicles, 2020 | 9 | 2020 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes M Xu, W Ding, J Zhu, Z Liu, B Chen, D Zhao Advances in Neural Information Processing Systems 33, 2020 | 7 | 2020 |
| Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process J Zhu, S Qin, W Wang, D Zhao arXiv preprint arXiv:1910.08102, 2019 | 7 | 2019 |
| Theoretical models of threshold stress intensity factor and critical hydride length for delayed hydride cracking considering thermal stresses J Zhang, J Zhu, S Ding, L Chen, W Li, H Pang Nuclear Engineering and Technology 50 (7), 1138-1147, 2018 | 6 | 2018 |
| A theoretical model for delayed hydride cracking velocity considering the temperature history and temperature gradients J Zhang, J Zhu, S Ding Nuclear Materials and Energy 16, 95-107, 2018 | 6 | 2018 |
| A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives J Zhu, W Wang, D Zhao 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 4 | 2018 |
| Context-Aware Safe Reinforcement Learning for Non-Stationary Environments B Chen, Z Liu, J Zhu, M Xu, W Ding, D Zhao arXiv preprint arXiv:2101.00531, 2021 | 3 | 2021 |
| A General Framework of Learning Multi-Vehicle Interaction Patterns from Video C Zhang, J Zhu, W Wang, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4323-4328, 2019 | 3 | 2019 |
| Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data J Zhu, A Guha, M Xu, Y Ma, R Lei, V Loffredo, XL Nguyen, D Zhao arXiv preprint arXiv:2102.03895, 2021 | 1 | 2021 |
| Simulation of the Delayed Hydride Cracking Velocity for Zirconium Alloy Materials Considering Irradiation Effects J Zhang, B Wang, J Zhu, S Ding, L Chen, W Li, H Pang International Conference on Nuclear Engineering 57816, V003T02A055, 2017 | 1 | 2017 |
| SYSTEM AND METHOD FOR UNIFYING HETEROGENOUS DATASETS USING PRIMITIVES D Zhao, J Zhu, W Wang US Patent App. 16/384,108, 2020 | | 2020 |
| Robust Unsupervised Learning of Temporal Dynamic Interactions A Guha, R Lei, J Zhu, XL Nguyen, D Zhao arXiv preprint arXiv:2006.10241, 2020 | | 2020 |
Ding ZhaoAssistant Professor @ Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
