| Learning to collide: An adaptive safety-critical scenarios generating method W Ding, B Chen, M Xu, D Zhao 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 45* | 2020 |
| Multimodal safety-critical scenarios generation for decision-making algorithms evaluation W Ding, B Chen, B Li, KJ Eun, D Zhao IEEE Robotics and Automation Letters 6 (2), 1551-1558, 2021 | 36 | 2021 |
| Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters W Ding, W Wang, D Zhao 2019 IEEE International Conference on Robotics and Automation (ICRA), 2018 | 35* | 2018 |
| Task-agnostic online reinforcement learning with an infinite mixture of gaussian processes M Xu, W Ding, J Zhu, Z Liu, B Chen, D Zhao Conference on Neural Information Processing Systems (NeurIPS) 2020, 2020 | 27 | 2020 |
| Vehicle Pose and Shape Estimation through Multiple Monocular Vision W Ding, S Li, G Zhang, X Lei, H Qian 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018 | 25 | 2018 |
| Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021 | 24* | 2021 |
| Cmts: A conditional multiple trajectory synthesizer for generating safety-critical driving scenarios W Ding, M Xu, D Zhao 2020 IEEE International Conference on Robotics and Automation (ICRA), 4314-4321, 2020 | 24 | 2020 |
| Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation W Ding, S Li, H Qian 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018 | 24 | 2018 |
| MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks W Ding, L He 2018 Interspeech, 2018 | 23 | 2018 |
| Data Augmentation and Prior Knowledge-based Regularization for Sound Event Localization and Detection W Ding*, J Zhang*, L He DCASE 2019 Task 3 Report, 2019 | 20 | 2019 |
| Adaptive multi-scale detection of acoustic events W Ding, L He IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 294-306, 2019 | 18 | 2019 |
| A survey on safety-critical scenario generation from methodological perspective W Ding, C Xu, H Lin, B Li, D Zhao arXiv preprint arXiv:2202.02215, 2022 | 15 | 2022 |
| Context-Aware Safe Reinforcement Learning for Non-Stationary Environments B Chen, Z Liu, J Zhu, M Xu, W Ding, D Zhao 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 13 | 2021 |
| Multi-Scale Time-Frequency Attention for Acoustic Event Detection J Zhang, W Ding, J Kang, L He 2019 Interspeech, 2019 | 11 | 2019 |
| Trustworthy reinforcement learning against intrinsic vulnerabilities: Robustness, safety, and generalizability M Xu, Z Liu, P Huang, W Ding, Z Cen, B Li, D Zhao arXiv preprint arXiv:2209.08025, 2022 | 6 | 2022 |
| Evaluation method of the vibration reduction effect considering the real load-and frequency-dependent stiffness of slab-track mats Z Zhao, K Wei, W Ding, F Cheng, P Wang Materials 14 (2), 452, 2021 | 6 | 2021 |
| SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles C Xu, W Ding, W Lyu, Z Liu, S Wang, Y He, H Hu, D Zhao, B Li Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 5 | 2022 |
| CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation W Ding, H Lin, B Li, D Zhao 6th Annual Conference on Robot Learning (CoRL) 2022, 2022 | 5* | 2022 |
| Effect of viscoelastic-plastic dynamic properties of rail pads on curved rail dynamic characteristics based on the modified SEM–SM hybrid method Y Dou, P Wang, W Ding, S Wang, K Wei Vehicle System Dynamics 61 (1), 58-82, 2023 | 4 | 2023 |
| UM-SIMULINK Co-simulation for the vibration reduction optimization of a magnetorheological damping steel-spring floating slab track Z Zhao, K Wei, W Ding, W Du, H Li Construction and Building Materials 307, 124923, 2021 | 3 | 2021 |
Ding ZhaoCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
