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Wenhao Ding
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引用次数
引用次数
年份
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
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
272020
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
232021
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
222018
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
W Ding, L He
2018 Interspeech, 2018
212018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
W Ding, S Li, H Qian
2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018
202018
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
172020
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
172020
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
172019
Adaptive multi-scale detection of acoustic events
W Ding, L He
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 294-306, 2019
132019
Multi-Scale Time-Frequency Attention for Acoustic Event Detection
J Zhang, W Ding, J Kang, L He
2019 Interspeech, 2019
92019
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
82021
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
72021
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
22021
Semantically controllable scene generation with guidance of explicit knowledge
W Ding, B Li, KJ Eun, D Zhao
arXiv e-prints, arXiv: 2106.04066, 2021
22021
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
12022
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
12021
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