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2020 – today
- 2026
[j12]Kaustav Chakraborty
, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal:
Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. IEEE Robotics Autom. Lett. 11(3): 3262-3269 (2026)- [i46]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:
The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms. CoRR abs/2601.05014 (2026) - [i45]Yiying Sheng, Wenhao Ding, Dylan Roi, Leonard Leong Litt Yeo, Hwa Liang Leo, Choon Hwai Yap:
Real-Time Pulsatile Flow Prediction for Realistic, Diverse Intracranial Aneurysm Morphologies using a Graph Transformer and Steady-Flow Data Augmentation. CoRR abs/2601.19876 (2026) - [i44]Yi Gu, Yan Wang, Yuxiao Chen, Yurong You, Wenjie Luo, Yue Wang, Wenhao Ding, Boyi Li, Heng Yang, Boris Ivanovic, Marco Pavone:
Accelerating Structured Chain-of-Thought in Autonomous Vehicles. CoRR abs/2602.02864 (2026) - 2025
- [j11]Huakun Sun, Yan Gao, Congyang Xu, Wenhao Ding, Fei Yang, Ping Wang, Qing He:
High-speed railway track geometry robust maintenance with Bayesian deep learning-enhanced physical-informed neural networks. Comput. Aided Civ. Infrastructure Eng. 40(24): 3934-3952 (2025) - [j10]Wei Xuan Chan, Wenhao Ding, Bing Huan Li, Hong Shen Wong, Choon Hwai Yap:
Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network. Comput. Biol. Medicine 190: 110074 (2025) - [j9]Guodong Zhu, Kang Huang, Yangshou Xiong, Anqi Li, Jiyou Peng, Wenhao Ding:
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. 146: 108806 (2025) - [j8]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Semantically Adversarial Scene Generation With Explicit Knowledge Guidance. IEEE Trans. Intell. Transp. Syst. 26(2): 1510-1521 (2025) - [c27]Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR 2025: 5422-5432 - [c26]Peide Huang, Wenhao Ding, Benjamin Stoler, Jonathan Francis, Bingqing Chen, Ding Zhao:
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories. ICRA 2025: 5474-5481 - [c25]Wenhao Ding, Xudong Luo:
MedREX: A Dual-Biaffine Attention and Feature-Enhanced Joint Model for Chinese Medical Entity-Relation Extraction. ICTAI 2025: 1448-1454 - [c24]Wenhao Ding, Kangjun Ji, Simão Castro, Yihao Luo, Dylan Roi, Choon Hwai Yap:
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. MICCAI (10) 2025: 595-604 - [i43]Wenhao Ding, Sushant Veer, Karen Leung, Yulong Cao, Marco Pavone:
Surprise Potential as a Measure of Interactivity in Driving Scenarios. CoRR abs/2502.05677 (2025) - [i42]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:
Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. CoRR abs/2505.09074 (2025) - [i41]Wenhao Ding, Choon Hwai Yap, Kangjun Ji, Simão Castro:
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. CoRR abs/2505.10407 (2025) - [i40]Miao Li, Wenhao Ding, Haohong Lin, Yiqi Lyu, Yihang Yao, Yuyou Zhang, Ding Zhao:
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning. CoRR abs/2505.18341 (2025) - [i39]Wenhao Ding, Sushant Veer, Yuxiao Chen, Yulong Cao, Chaowei Xiao, Marco Pavone:
RealDrive: Retrieval-Augmented Driving with Diffusion Models. CoRR abs/2505.24808 (2025) - [i38]Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu:
MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning. CoRR abs/2505.24871 (2025) - [i37]Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal:
Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. CoRR abs/2507.22389 (2025) - [i36]Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao:
Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving. CoRR abs/2511.21584 (2025) - [i35]Yingzi Ma, Yulong Cao, Wenhao Ding, Shuibai Zhang, Yan Wang, Boris Ivanovic, Ming Jiang, Marco Pavone, Chaowei Xiao:
dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning. CoRR abs/2512.04459 (2025) - [i34]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:
Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning. CoRR abs/2512.24426 (2025) - 2024
- [j7]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: 124078 (2024) - [j6]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): 4639-4646 (2024) - [j5]Yiwen Dong, Sung Eun Kim, Kornel Schadl, Peide Huang, Wenhao Ding, Jessica Rose, Hae Young Noh:
In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning. IEEE J. Biomed. Health Informatics 28(12): 7054-7067 (2024) - [c23]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. ECCV (62) 2024: 93-110 - [c22]Miao Li, Wenhao Ding, Ding Zhao:
Privacy Risks in Reinforcement Learning for Household Robots. ICRA 2024: 5148-5154 - [c21]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. NeurIPS 2024 - [c20]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. NeurIPS 2024 - [i33]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 abs/2403.13208 (2024) - [i32]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 abs/2407.10967 (2024) - [i31]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 abs/2407.14653 (2024) - [i30]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:
Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction. CoRR abs/2409.02070 (2024) - [i29]Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CoRR abs/2412.05334 (2024) - 2023
- [j4]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): 1-16 (2023) - [j3]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): 6971-6988 (2023) - [c19]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: 734-760 - [c18]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c17]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: 7140-7146 - [c16]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: 11384-11389 - [c15]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS 2023 - [c14]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 2023: 177-188 - [i28]Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen:
Learning to View: Decision Transformers for Active Object Detection. CoRR abs/2301.09544 (2023) - [i27]Wenhao Ding:
Critical Scenario Generation for Developing Trustworthy Autonomy. CoRR abs/2305.00339 (2023) - [i26]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR abs/2305.11340 (2023) - [i25]Miao Li, Wenhao Ding, Ding Zhao:
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR abs/2306.09273 (2023) - [i24]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 abs/2306.15864 (2023) - [i23]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR abs/2307.07907 (2023) - [i22]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 abs/2311.10747 (2023) - [i21]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR abs/2312.13303 (2023) - 2022
- [c13]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL 2022: 812-823 - [c12]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS 2022 - [c11]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 - [i20]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR abs/2202.02215 (2022) - [i19]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i18]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 abs/2206.09682 (2022) - [i17]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR abs/2207.09081 (2022) - [i16]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 abs/2209.08025 (2022) - [i15]Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. CoRR abs/2210.00222 (2022) - 2021
- [j2]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): 1551-1558 (2021) - [c10]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: 595-603 - [c9]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: 10689-10695 - [i14]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR abs/2101.00531 (2021) - [i13]Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao:
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge. CoRR abs/2106.04066 (2021) - [i12]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR abs/2110.13939 (2021) - 2020
- [j1]Wenhao Ding, Liang He:
Adaptive Multi-Scale Detection of Acoustic Events. IEEE ACM Trans. Audio Speech Lang. Process. 28: 294-306 (2020) - [c8]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. ICRA 2020: 4314-4321 - [c7]Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. IROS 2020: 2243-2250 - [c6]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 - [i11]Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. CoRR abs/2003.01197 (2020) - [i10]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 abs/2006.11441 (2020) - [i9]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 abs/2006.15722 (2020) - [i8]Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao:
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. CoRR abs/2009.08311 (2020)
2010 – 2019
- 2019
- [c5]Wenhao Ding, Wenshuo Wang, Ding Zhao:
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA 2019: 4255-4261 - [c4]Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Acoustic Event Detection. INTERSPEECH 2019: 3855-3859 - [i7]Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. CoRR abs/1904.00063 (2019) - [i6]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. CoRR abs/1910.00099 (2019) - [i5]Wenhao Ding, Liang He:
Adaptive Multi-scale Detection of Acoustic Events. CoRR abs/1911.06878 (2019) - 2018
- [c3]Wenhao Ding, Liang He:
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. INTERSPEECH 2018: 3633-3637 - [c2]Wenhao Ding, Shuaijun Li, Huihuan Qian, Yongquan Chen:
Hierarchical Reinforcement Learning Framework Towards Multi-Agent Navigation. ROBIO 2018: 237-242 - [c1]Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian:
Vehicle Pose and Shape Estimation Through Multiple Monocular Vision. ROBIO 2018: 709-715 - [i4]Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian, Yangsheng Xu:
Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision. CoRR abs/1802.03515 (2018) - [i3]Wenhao Ding, Liang He:
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. CoRR abs/1803.09059 (2018) - [i2]Wenhao Ding, Shuaijun Li, Huihuan Qian:
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation. CoRR abs/1807.05424 (2018) - [i1]Wenhao Ding, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR abs/1809.05680 (2018)
Coauthor Index
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