Wenhao Ding

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 57

Top Topics

Shape Estimation

Causal Discovery

Reinforcement Learning

Gaussian Processes

Top Venues

IEEE Robotics Autom. Lett.

Publications

Zhengxian Zhang, Xiaogang Wang, Yun Li, Yi Liu, Yuan Xu, Jingjuan Li, Wenhao Ding, Hongze Li, Hong Yang
River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion. Expert Syst. Appl. 251 (2024)
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR (2024)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9 (5) (2024)
Miao Li, Wenhao Ding, Ding Zhao
Privacy Risks in Reinforcement Learning for Household Robots. ICRA (2024)
Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR (2024)
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR (2024)
Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh
GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. BuildSys@SenSys (2023)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR (2023)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR (2023)
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
Learning to View: Decision Transformers for Active Object Detection. ICRA (2023)
Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR (2023)
Qiliang Zhu, Wenhao Ding, Mingsen Xiang, Mengzhen Hu, Ning Zhang
Loan Default Prediction Based on Convolutional Neural Network and LightGBM. Int. J. Data Warehous. Min. 19 (1) (2023)
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
Learning to View: Decision Transformers for Active Object Detection. CoRR (2023)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL (2023)
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML (2023)
Wenhao Ding
Critical Scenario Generation for Developing Trustworthy Autonomy. CoRR (2023)
Miao Li, Wenhao Ding, Ding Zhao
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR (2023)
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR (2023)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR (2023)
Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS (2023)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS (2023)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS (2022)
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR (2022)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR (2022)
Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang
Solving practical multi-body dynamics problems using a single neural operator. CoRR (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL (2022)
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR (2022)
Wenhao Ding, Qing He, Hanghang Tong, Ping Wang
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR (2022)
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. NeurIPS (2022)
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge. CoRR (2021)
Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR (2021)
Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA (2021)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR (2021)
Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. AISTATS (2021)
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR (2020)
Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. CoRR (2020)
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. CoRR (2020)
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS (2020)
Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. IROS (2020)
Wenhao Ding, Liang He
Adaptive Multi-Scale Detection of Acoustic Events. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Wenhao Ding, Mengdi Xu, Ding Zhao
CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. ICRA (2020)
Wenhao Ding, Minjun Xu, Ding Zhao
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. CoRR (2020)
Wenhao Ding, Liang He
Adaptive Multi-scale Detection of Acoustic Events. CoRR (2019)
Wenhao Ding, Wenshuo Wang, Ding Zhao
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA (2019)
Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He
Multi-Scale Time-Frequency Attention for Acoustic Event Detection. INTERSPEECH (2019)
Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. CoRR (2019)
Wenhao Ding, Mengdi Xu, Ding Zhao
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. CoRR (2019)
Wenhao Ding, Wenshuo Wang, Ding Zhao
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR (2018)
Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian, Yangsheng Xu
Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision. CoRR (2018)
Wenhao Ding, Liang He
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. CoRR (2018)
Wenhao Ding, Liang He
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. INTERSPEECH (2018)
Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian
Vehicle Pose and Shape Estimation Through Multiple Monocular Vision. ROBIO (2018)
Wenhao Ding, Shuaijun Li, Huihuan Qian
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation. CoRR (2018)
Wenhao Ding, Shuaijun Li, Huihuan Qian, Yongquan Chen
Hierarchical Reinforcement Learning Framework Towards Multi-Agent Navigation. ROBIO (2018)