| 2026 | KSEM | Medical Relation Extraction via Retrieval and Dynamic Triggering. | Wenhao Ding, Xudong Luo, Kaile Su |
| 2025 | CVPR | Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. | Zhejun Zhang, Pter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2025 | ICRA | CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories. | Peide Huang, Wenhao Ding, Benjamin Stoler, Jonathan Francis, Bingqing Chen, Ding Zhao |
| 2025 | ICTAI | MedREX: A Dual-Biaffine Attention and Feature-Enhanced Joint Model for Chinese Medical Entity-Relation Extraction. | Wenhao Ding, Xudong Luo |
| 2025 | MICCAI | Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. | Wenhao Ding, Kangjun Ji, Simo Castro, Yihao Luo, Dylan Roi, Choon Hwai Yap |
| 2024 | ECCV | RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. | Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone |
| 2024 | ICRA | Privacy Risks in Reinforcement Learning for Household Robots. | Miao Li, Wenhao Ding, Ding Zhao |
| 2023 | CoRL | What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. | Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao |
| 2023 | ICML | Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. | Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone |
| 2023 | ICRA | Learning to View: Decision Transformers for Active Object Detection. | Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen |
| 2023 | IROS | SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. | Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang |
| 2023 | SENSYS | GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. | Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh |
| 2022 | CoRL | CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. | Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao |
| 2021 | AISTATS | Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. | Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao |
| 2021 | ICRA | Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. | Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao |
| 2020 | ICRA | CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. | Wenhao Ding, Mengdi Xu, Ding Zhao |
| 2020 | IROS | Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. | Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao |
| 2019 | ICRA | A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. | Wenhao Ding, Wenshuo Wang, Ding Zhao |
| 2019 | Interspeech | Multi-Scale Time-Frequency Attention for Acoustic Event Detection. | Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He |
| 2018 | Interspeech | MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. | Wenhao Ding, Liang He |