Wenhao Ding - RankMe

86 papers A* 14A 5B 1Misc 2Journal 59Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Structured Chain-of-Thought in Autonomous Vehicles. CoRR Yi Gu, Yan Wang, Yuxiao Chen, Yurong You, Wenjie Luo, Yue Wang, Wenhao Ding, Boyi Li, Heng Yang, Boris Ivanovic, Marco Pavone
2026	J	`jnl`	Explicit differentiable slicing and global deformation for cardiac mesh reconstruction. Medical Image Anal. Yihao Luo, Dario Sesia, Fanwen Wang, Yinzhe Wu, Wenhao Ding, Md. Kamrul Hasan, Jiahao Huang, Fadong Shi, Anoop Shah, Amit Kaura, Jamil Mayet, Guang Yang, Choon Hwai Yap
2026	J	`jnl`	Real-Time Pulsatile Flow Prediction for Realistic, Diverse Intracranial Aneurysm Morphologies using a Graph Transformer and Steady-Flow Data Augmentation. CoRR Yiying Sheng, Wenhao Ding, Dylan Roi, Leonard Leong Litt Yeo, Hwa Liang Leo, Choon Hwai Yap
2026	J	`jnl`	Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. IEEE Robotics Autom. Lett. Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal
2026	J	`jnl`	The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms. CoRR Lingdong Kong, Shaoyuan Xie, Zeying Gong, Ye Li, Meng Chu, Ao Liang, Yuhao Dong, Tianshuai Hu, Ronghe Qiu, Rong Li, Hanjiang Hu, Dongyue Lu, Wei Yin, Wenhao Ding, Linfeng Li, Hang Song, Wenwei Zhang, Yuexin Ma, Junwei Liang, Zhedong Zheng, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi, Ziwei Liu
2025	J	`jnl`	An improved model for time-varying mesh stiffness of super-high-contact-ratio helical gear pair considering contact disparities on differently sliced fractal surfaces. Commun. Nonlinear Sci. Numer. Simul. Guodong Zhu, Kang Huang, Yangshou Xiong, Anqi Li, Jiyou Peng, Wenhao Ding
2025	A*	`conf`	CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories. ICRA Peide Huang, Wenhao Ding, Benjamin Stoler, Jonathan Francis, Bingqing Chen, Ding Zhao
2025	A*	`conf`	Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone
2025	J	`jnl`	Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning. CoRR Zhenghao "Mark" Peng, Wenhao Ding, Yurong You, Yuxiao Chen, Wenjie Luo, Thomas Tian, Yulong Cao, Apoorva Sharma, Danfei Xu, Boris Ivanovic, Boyi Li, Bolei Zhou, Yan Wang, Marco Pavone
2025	J	`jnl`	CrashAgent: Crash Scenario Generation via Multi-modal Reasoning. CoRR Miao Li, Wenhao Ding, Haohong Lin, Yiqi Lyu, Yihang Yao, Yuyou Zhang, Ding Zhao
2025	J	`jnl`	Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. CoRR Letian Wang, Marc-Antoine Lavoie, Sandro Papais, Barza Nisar, Yuxiao Chen, Wenhao Ding, Boris Ivanovic, Hao Shao, Abulikemu Abuduweili, Evan Cook, Yang Zhou, Péter Karkus, Jiachen Li, Changliu Liu, Marco Pavone, Steven Lake Waslander
2025	J	`jnl`	High-speed railway track geometry robust maintenance with Bayesian deep learning-enhanced physical-informed neural networks. Comput. Aided Civ. Infrastructure Eng. Huakun Sun, Yan Gao, Congyang Xu, Wenhao Ding, Fei Yang, Ping Wang, Qing He
2025	B	`conf`	MedREX: A Dual-Biaffine Attention and Feature-Enhanced Joint Model for Chinese Medical Entity-Relation Extraction. ICTAI Wenhao Ding, Xudong Luo
2025	J	`jnl`	MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning. CoRR Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu
2025	J	`jnl`	Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving. CoRR Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao
2025	J	`jnl`	RealDrive: Retrieval-Augmented Driving with Diffusion Models. CoRR Wenhao Ding, Sushant Veer, Yuxiao Chen, Yulong Cao, Chaowei Xiao, Marco Pavone
2025	J	`jnl`	Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network. Comput. Biol. Medicine Wei Xuan Chan, Wenhao Ding, Bing Huan Li, Hong Shen Wong, Choon Hwai Yap
2025	J	`jnl`	Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. CoRR Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal
2025	J	`jnl`	Semantically Adversarial Scene Generation With Explicit Knowledge Guidance. IEEE Trans. Intell. Transp. Syst. Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2025	J	`jnl`	Surprise Potential as a Measure of Interactivity in Driving Scenarios. CoRR Wenhao Ding, Sushant Veer, Karen Leung, Yulong Cao, Marco Pavone
2025	—	`conf`	Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. MICCAI (10) Wenhao Ding, Kangjun Ji, Simão Castro, Yihao Luo, Dylan Roi, Choon Hwai Yap
2025	J	`jnl`	Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. CoRR Wenhao Ding, Choon Hwai Yap, Kangjun Ji, Simão Castro
2025	J	`jnl`	dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning. CoRR Yingzi Ma, Yulong Cao, Wenhao Ding, Shuibai Zhang, Yan Wang, Boris Ivanovic, Ming Jiang, Marco Pavone, Chaowei Xiao
2024	A*	`conf`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. NeurIPS Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2024	J	`jnl`	Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CoRR Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone
2024	J	`jnl`	Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction. CoRR Yihao Luo, Dario Sesia, Fanwen Wang, Yinzhe Wu, Wenhao Ding, Jiahao Huang, Fadong Shi, Anoop Shah, Amit Kaural, Jamil Mayet, Guang Yang, Choon Hwai Yap
2024	J	`jnl`	In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning. IEEE J. Biomed. Health Informatics Yiwen Dong, Sung Eun Kim, Kornel Schadl, Peide Huang, Wenhao Ding, Jessica Rose, Hae Young Noh
2024	A*	`conf`	OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. NeurIPS Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024	J	`jnl`	OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024	A*	`conf`	Privacy Risks in Reinforcement Learning for Household Robots. ICRA Miao Li, Wenhao Ding, Ding Zhao
2024	—	`conf`	RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. ECCV (62) Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone
2024	J	`jnl`	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. Zhengxian Zhang, Xiaogang Wang, Yun Li, Yi Liu, Yuan Xu, Jingjuan Li, Wenhao Ding, Hongze Li, Hong Yang
2024	J	`jnl`	Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
2023	J	`jnl`	A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
2023	A*	`conf`	Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
2023	J	`jnl`	Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
2023	J	`jnl`	Critical Scenario Generation for Developing Trustworthy Autonomy. CoRR Wenhao Ding
2023	—	`conf`	GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. BuildSys Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh
2023	A*	`conf`	Learning to View: Decision Transformers for Active Object Detection. ICRA Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
2023	J	`jnl`	Learning to View: Decision Transformers for Active Object Detection. CoRR Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
2023	J	`jnl`	Loan Default Prediction Based on Convolutional Neural Network and LightGBM. Int. J. Data Warehous. Min. Qiliang Zhu, Wenhao Ding, Mingsen Xiang, Mengzhen Hu, Ning Zhang
2023	J	`jnl`	RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone
2023	J	`jnl`	Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
2023	A	`conf`	SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang
2023	A*	`conf`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	J	`jnl`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	Misc	`conf`	What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2023	J	`jnl`	What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2023	J	`jnl`	Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR Miao Li, Wenhao Ding, Ding Zhao
2022	J	`jnl`	A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
2022	Misc	`conf`	CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022	A*	`conf`	Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022	J	`jnl`	Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022	J	`jnl`	PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR Wenhao Ding, Qing He, Hanghang Tong, Ping Wang
2022	A*	`conf`	SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. NeurIPS Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
2022	J	`jnl`	SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
2022	J	`jnl`	Solving practical multi-body dynamics problems using a single neural operator. CoRR Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang
2022	J	`jnl`	Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
2021	J	`jnl`	CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2021	A*	`conf`	Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao
2021	J	`jnl`	Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao
2021	A	`conf`	Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. AISTATS Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao
2021	J	`jnl`	Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. IEEE Robotics Autom. Lett. Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
2021	J	`jnl`	Semantically Controllable Scene Generation with Guidance of Explicit Knowledge. CoRR Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao
2020	J	`jnl`	Adaptive Multi-Scale Detection of Acoustic Events. IEEE ACM Trans. Audio Speech Lang. Process. Wenhao Ding, Liang He
2020	A*	`conf`	CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. ICRA Wenhao Ding, Mengdi Xu, Ding Zhao
2020	J	`jnl`	Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. CoRR Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao
2020	A	`conf`	Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. IROS Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao
2020	J	`jnl`	Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. CoRR Wenhao Ding, Minjun Xu, Ding Zhao
2020	J	`jnl`	Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. CoRR Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
2020	A*	`conf`	Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
2020	J	`jnl`	Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
2019	A*	`conf`	A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA Wenhao Ding, Wenshuo Wang, Ding Zhao
2019	J	`jnl`	Adaptive Multi-scale Detection of Acoustic Events. CoRR Wenhao Ding, Liang He
2019	J	`jnl`	CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. CoRR Wenhao Ding, Mengdi Xu, Ding Zhao
2019	A	`conf`	Multi-Scale Time-Frequency Attention for Acoustic Event Detection. INTERSPEECH Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He
2019	J	`jnl`	Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. CoRR Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He
2018	—	`conf`	Hierarchical Reinforcement Learning Framework Towards Multi-Agent Navigation. ROBIO Wenhao Ding, Shuaijun Li, Huihuan Qian, Yongquan Chen
2018	J	`jnl`	Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation. CoRR Wenhao Ding, Shuaijun Li, Huihuan Qian
2018	A	`conf`	MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. INTERSPEECH Wenhao Ding, Liang He
2018	J	`jnl`	MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. CoRR Wenhao Ding, Liang He
2018	J	`jnl`	Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR Wenhao Ding, Wenshuo Wang, Ding Zhao
2018	—	`conf`	Vehicle Pose and Shape Estimation Through Multiple Monocular Vision. ROBIO Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian
2018	J	`jnl`	Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision. CoRR Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian, Yangsheng Xu