| 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 | 30 | 2020 |
| 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 | 28* | 2018 |
| 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 | 25 | 2021 |
| 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 | 22 | 2018 |
| MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks W Ding, L He 2018 Interspeech, 2018 | 21 | 2018 |
| Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation W Ding, S Li, H Qian 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018 | 20 | 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 | 19 | 2020 |
| 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 | 17 | 2020 |
| 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 | 17 | 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 | 14 | 2019 |
| Multi-Scale Time-Frequency Attention for Acoustic Event Detection J Zhang, W Ding, J Kang, L He 2019 Interspeech, 2019 | 12 | 2019 |
| 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 | 10 | 2021 |
| 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 | 9 | 2021 |
| Semantically controllable scene generation with guidance of explicit knowledge W Ding, B Li, KJ Eun, D Zhao arXiv preprint arXiv:2106.04066, 2021 | 3 | 2021 |
| Certifiable deep importance sampling for rare-event simulation of black-box systems M Arief, Y Bai, W Ding, S He, Z Huang, H Lam, D Zhao arXiv preprint arXiv:2111.02204, 2021 | 2 | 2021 |
| 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 | 1 | 2022 |
| CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation W Ding, H Lin, B Li, D Zhao arXiv preprint arXiv:2110.13939, 2021 | 1 | 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 arXiv preprint arXiv:2206.09682, 2022 | | 2022 |
Ding ZhaoAssistant Professor @ Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
