Ding Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
23
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*ICRA14 papers
- AIROS8 papers
- A*ICLR7 papers
- A*ICML7 papers
- AInterspeech6 papers
- MulticonferenceICASSP6 papers
- A*ACL4 papers
- A*CVPR4 papers
- UnrankedCoRL4 papers
- AAISTATS3 papers
- NationalWSC3 papers
- A*AAAI1 paper
- A*INFOCOM1 paper
- A*ECCV1 paper
- ANAACL1 paper
- AEACL1 paper
- A*EMNLP1 paper
- BGLOBECOM1 paper
- AWACV1 paper
- A*IJCAI1 paper
- BWCNC1 paper
- BVTC1 paper
- CUIC1 paper
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Tailored Primitive Initialization is the Secret Key to Reinforcement Learning. | Yihang Yao, Guangtao Zeng, Raina Wu, Yang Zhang, Ding Zhao, Zhang-Wei Hong, Chuang Gan |
| 2025 | AAAI | DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles. | Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li |
| 2025 | ACL | Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training. | Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang, Emerson Liu, Zuxin Liu, Chuang Gan, Ding Zhao |
| 2025 | ACL | Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety. | Yuyou Zhang, Miao Li, William Han, Yihang Yao, Zhepeng Cen, Ding Zhao |
| 2025 | CVPR | Causal Composition Diffusion Model for Closed-loop Traffic Generation. | Haohong Lin, Xin Huang, Tung Phan, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen |
| 2025 | ICRA | Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing. | Yuming Feng, Chuye Hong, Yaru Niu, Shiqi Liu, Yuxiang Yang, Ding Zhao |
| 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 | INFOCOM | SatPipe: Deterministic TCP Adaptation for Highly Dynamic LEO Satellite Networks. | Ding Zhao, Xinyu Zhang, Myungjin Lee |
| 2025 | IROS | DTactive: A Vision-Based Tactile Sensor with Active Surface. | Jikai Xu, Lei Wu, Changyi Lin, Ding Zhao, Huazhe Xu |
| 2025 | IROS | QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. | Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao |
| 2025 | ICRA | Agile Continuous Jumping in Discontinuous Terrains. | Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots |
| 2024 | AISTATS | Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2024 | CVPR | MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. | Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang |
| 2024 | ECCV | RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. | Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone |
| 2024 | ICLR | Learning from Sparse Offline Datasets via Conservative Density Estimation. | Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao |
| 2024 | ICLR | Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. | Xingyu Liu, Deepak Pathak, Ding Zhao |
| 2024 | ICLR | TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. | Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor |
| 2024 | ICML | Feasibility Consistent Representation Learning for Safe Reinforcement Learning. | Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao |
| 2024 | ICRA | Privacy Risks in Reinforcement Learning for Household Robots. | Miao Li, Wenhao Ding, Ding Zhao |
| 2024 | ICRA | Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. | Ye Li, Hanjiang Hu, Zuxin Liu, Xiaohao Xu, Xiaonan Huang, Ding Zhao |
| 2024 | ICRA | Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. | Haohong Lin, Radu Corcodel, Ding Zhao |
| 2024 | Interspeech | Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. | Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara Sainath, Yanzhang He, Pedro Moreno Mengibar |
| 2024 | IROS | LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. | Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao |
| 2024 | ICRA | Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. | Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held |
| 2024 | ICRA | COMPOSER: Scalable and Robust Modular Policies for Snake Robots. | Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao |
| 2024 | NAACL | Embodied Executable Policy Learning with Language-based Scene Summarization. | Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao |
| 2023 | ACL | SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin |
| 2023 | AISTATS | Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, 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 | CoRL | Continual Vision-based Reinforcement Learning with Group Symmetries. | Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao |
| 2023 | EACL | Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao |
| 2023 | EMNLP | Can Brain Signals Reveal Inner Alignment with Human Languages? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao |
| 2023 | GLOBECOM | Structured Two-Stage True-Time-Delay Array Code book Design for Multi - User Data Communication. | Aditya Wadaskar, Ding Zhao, Ibrahim Pehlivan, Danijela Cabric |
| 2023 | ICASSP | Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. | Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw |
| 2023 | ICASSP | Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao |
| 2023 | ICASSP | Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. | Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar |
| 2023 | ICLR | On the Robustness of Safe Reinforcement Learning under Observational Perturbations. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao |
| 2023 | ICLR | Hyper-Decision Transformer for Efficient Online Policy Adaptation. | Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan |
| 2023 | ICML | Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. | Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone |
| 2023 | ICML | Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao |
| 2023 | ICML | Constrained Decision Transformer for Offline Safe Reinforcement Learning. | Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao |
| 2023 | ICML | Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. | Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao |
| 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 | IROS | GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. | Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang |
| 2023 | WACV | LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos. | Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin |
| 2022 | CoRL | CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. | Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao |
| 2022 | CoRL | Robustness Certification of Visual Perception Models via Camera Motion Smoothing. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2022 | CVPR | Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. | Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao |
| 2022 | ICLR | COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. | Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li |
| 2022 | ICLR | CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. | Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li |
| 2022 | ICML | Constrained Variational Policy Optimization for Safe Reinforcement Learning. | Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao |
| 2022 | ICML | Prompting Decision Transformer for Few-Shot Policy Generalization. | Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | IJCAI | Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. | Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao |
| 2022 | Interspeech | A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. | Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman |
| 2022 | Interspeech | Federated Pruning: Improving Neural Network Efficiency with Federated Learning. | Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Franoise Beaufays |
| 2022 | Interspeech | Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss. | Ding Zhao, Zhan Zhang, Bin Yu, Yuehai Wang |
| 2022 | IROS | Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. | Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2022 | WCNC | Joint Transmit and Reflective Beamforming for IRS-Assisted Integrated Sensing and Communication. | Xianxin Song, Ding Zhao, Haocheng Hua, Tony Xiao Han, Xun Yang, Jie Xu |
| 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 | ICASSP | Dynamic Sparsity Neural Networks for Automatic Speech Recognition. | Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang |
| 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 |
| 2021 | Interspeech | Personalized Keyphrase Detection Using Speaker and Environment Information. | Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw |
| 2020 | ICASSP | A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. | Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirk Visontai, Yonghui Wu, Yu Zhang, 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 |
| 2020 | IROS | MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. | Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao |
| 2019 | CVPR | Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. | Hasan Asy'ari Arief, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Hvard Tveite, Ding Zhao |
| 2019 | ICASSP | Streaming End-to-end Speech Recognition for Mobile Devices. | Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein |
| 2019 | ICRA | A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. | Wenhao Ding, Wenshuo Wang, Ding Zhao |
| 2019 | ICRA | Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. | Zuxin Liu, Mansur Arief, Ding Zhao |
| 2019 | Interspeech | Shallow-Fusion End-to-End Contextual Biasing. | Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang |
| 2018 | WSC | Designing Importance samplers to simulate Machine Learning Predictors via Optimization. | Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2018 | WSC | Rare-Event simulation without Structural Information: a Learning-based Approach. | Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2017 | ICRA | Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models. | Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng |
| 2017 | VTC | The Impact of Road Configuration on V2V-Based Cooperative Localization. | Macheng Shen, Ding Zhao, Jing Sun |
| 2017 | WSC | Sequential experimentation to efficiently test automated vehicles. | Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2015 | UIC | Cloud Consumer Oriented Utility Model Research in Cloud Computing. | Xiaoxiong Liu, Ding Zhao, Yunchuan Qin, Zhuo Tang |