Wenhao Ding
Wenhao Ding
Research Scientist, NVIDIA Research
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Zitiert von
Zitiert von
A survey on safety-critical driving scenario generation—A methodological perspective
W Ding, C Xu, M Arief, H Lin, B Li, D Zhao
IEEE Transactions on Intelligent Transportation Systems, 2023
Learning to collide: An adaptive safety-critical scenarios generating method
W Ding, B Chen, M Xu, D Zhao
2020 IROS, 2020
Multimodal safety-critical scenarios generation for decision-making algorithms evaluation
W Ding, B Chen, B Li, KJ Eun, D Zhao
IEEE RA-L, 2021
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters
W Ding, W Wang, D Zhao
2019 ICRA, 2018
Cmts: A conditional multiple trajectory synthesizer for generating safety-critical driving scenarios
W Ding, M Xu, D Zhao
2020 ICRA, 2020
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
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
2021 AISTATS, 2021
Vehicle Pose and Shape Estimation through Multiple Monocular Vision
W Ding, S Li, G Zhang, X Lei, H Qian
2018 ROBIO, 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
2020 NeurIPS, 2020
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
B Chen, Z Liu, J Zhu, M Xu, W Ding, D Zhao
2021 ICRA, 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
2022 NeurIPS, 2022
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
W Ding, S Li, H Qian
2018 ROBIO, 2018
Multi-Scale Time-Frequency Attention for Acoustic Event Detection
J Zhang, W Ding, J Kang, L He
2019 Interspeech, 2019
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
W Ding, H Lin, B Li, D Zhao
2022 NeurIPS, 2022
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
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
W Ding, H Lin, B Li, D Zhao
2022 CoRL, 2022
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
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
W Ding, L He
2018 Interspeech, 2018
Adaptive multi-scale detection of acoustic events
W Ding, L He
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
Seasondepth: Cross-season monocular depth prediction dataset and benchmark under multiple environments
H Hu, B Yang, Z Qiao, S Liu, J Zhu, Z Liu, W Ding, D Zhao, H Wang
2023 IROS, 2023
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