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Journal Articles
- 2024
[j30]Yuanlu Bai, Zhiyuan Huang
, Henry Lam, Ding Zhao:
Overconservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation. Manag. Sci. 70(10): 6852-6873 (2024)- [j29]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) - [j28]Rui Zheng, Limin Qi, Sizhuo Li, Zhihua Gan, Ding Zhao, Min Qiu:
Liquid Hydrogen Temperature Cryostage for Ice-Assisted Electron-Beam Lithography. IEEE Trans. Instrum. Meas. 73: 1-4 (2024) - [j27]Rujun Zhou, Lei Zhang, Yunlian Ding, Si Luo, Qiang Ling, Yao Chen, Yusheng Zhang, Yan Zhou, Ali Akhtar, Ding Zhao, Min Qiu, Daru Chen:
Lab-on-Fiber Fabry-Perot Interferometer Integrated With Functionalized Polymer for Carbon Dioxide Sensing. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - 2023
- [j26]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) - [j25]Jiaxin Liu, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li:
Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 24(12): 14858-14872 (2023) - 2022
- [j24]Hongbo Gao, Ming Liu, Fei Chen, Xiaoxiang Na, Ding Zhao, Jingtao Wang, Linghe Kong, Keqiang Li, Chun-Yi Su:
Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications. IEEE Trans Autom. Sci. Eng. 19(4): 2652-2655 (2022) - [j23]Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao:
Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. 23(1): 610-619 (2022) - [j22]Yuanlu Bai, Zhiyuan Huang, Henry Lam, Ding Zhao:
Rare-event Simulation for Neural Network and Random Forest Predictors. ACM Trans. Model. Comput. Simul. 32(3): 18:1-18:33 (2022) - 2021
- [j21]Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao:
Delay-aware model-based reinforcement learning for continuous control. Neurocomputing 450: 119-128 (2021) - [j20]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) - [j19]Zhong Cao, Diange Yang, Shaobing Xu, Huei Peng, Boqi Li, Shuo Feng, Ding Zhao:
Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 22(2): 990-1000 (2021) - [j18]Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao:
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. IEEE Trans. Intell. Transp. Syst. 22(9): 5737-5748 (2021) - 2020
- [j17]Junjie Chen, Manoj Bhat, Shiyan Jiang, Ding Zhao:
Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road. IEEE Access 8: 77285-77297 (2020) - [j16]Hasan Asy'ari Arief, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data. IEEE Access 8: 131848-131858 (2020) - [j15]Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao:
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. IEEE Trans. Intell. Veh. 5(3): 485-496 (2020) - 2019
- [j14]Jianxin Jia, Yueming Wang, Xiaoyu Cheng, Liyin Yuan, Ding Zhao, Qi Ye, Xiaoqiong Zhuang, Rong Shu, Jianyu Wang:
Destriping Algorithms Based on Statistics and Spatial Filtering for Visible-to-Thermal Infrared Pushbroom Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(6): 4077-4091 (2019) - [j13]Macheng Shen, Jing Sun, Huei Peng, Ding Zhao:
Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments. IEEE Trans. Intell. Transp. Syst. 20(6): 2255-2266 (2019) - [j12]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches. IEEE Trans. Intell. Transp. Syst. 20(8): 2986-2998 (2019) - 2018
- [j11]Wenshuo Wang, Ding Zhao:
Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications. IEEE Robotics Autom. Lett. 3(2): 1223-1229 (2018) - [j10]Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc:
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers. IEEE Trans. Intell. Transp. Syst. 19(3): 733-744 (2018) - [j9]Zhiyuan Huang, Henry Lam, David J. LeBlanc, Ding Zhao:
Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models. IEEE Trans. Intell. Transp. Syst. 19(9): 2845-2855 (2018) - [j8]Macheng Shen, Jing Sun, Ding Zhao:
The Impact of Road Configuration in V2V-Based Cooperative Localization: Mathematical Analysis and Real-World Evaluation. IEEE Trans. Intell. Transp. Syst. 19(10): 3220-3229 (2018) - [j7]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios. IEEE Trans. Veh. Technol. 67(5): 3887-3899 (2018) - [j6]Wenshuo Wang, Ding Zhao, Wei Han, Junqiang Xi:
A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model. IEEE Trans. Veh. Technol. 67(10): 9145-9157 (2018) - 2017
- [j5]Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan:
Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques. IEEE Trans. Intell. Transp. Syst. 18(3): 595-607 (2017) - [j4]Xianan Huang, Ding Zhao, Huei Peng:
Empirical Study of DSRC Performance Based on Safety Pilot Model Deployment Data. IEEE Trans. Intell. Transp. Syst. 18(10): 2619-2628 (2017) - [j3]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. IEEE Trans. Intell. Veh. 2(2): 85-98 (2017) - [j2]Wenshuo Wang, Ding Zhao:
Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model. IEEE Trans. Intell. Veh. 2(3): 221-232 (2017) - 2016
- [j1]Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Ding Zhao, Huei Peng, Christopher S. Pan:
Gap Acceptance During Lane Changes by Large-Truck Drivers - An Image-Based Analysis. IEEE Trans. Intell. Transp. Syst. 17(3): 772-781 (2016)
Conference and Workshop Papers
- 2024
- [c110]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS 2024: 217-225 - [c109]Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang:
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CVPR 2024: 21909-21921 - [c108]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. ECCV (62) 2024: 93-110 - [c107]Ding Zhao, Ibrahim Pehlivan, Aditya Wadaskar, Danijela Cabric:
Fast Frequency-Direction Mapping Design for Data Communication With True-Time-Delay Array Architecture. ICNC 2024: 1071-1076 - [c106]Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao:
Learning from Sparse Offline Datasets via Conservative Density Estimation. ICLR 2024 - [c105]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. ICLR 2024 - [c104]Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor:
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR 2024 - [c103]Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao:
Feasibility Consistent Representation Learning for Safe Reinforcement Learning. ICML 2024 - [c102]Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held:
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. ICRA 2024: 2845-2851 - [c101]Miao Li, Wenhao Ding, Ding Zhao:
Privacy Risks in Reinforcement Learning for Household Robots. ICRA 2024: 5148-5154 - [c100]Ye Li, Hanjiang Hu, Zuxin Liu, Xiaohao Xu, Xiaonan Huang, Ding Zhao:
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. ICRA 2024: 9018-9025 - [c99]Haohong Lin, Radu Corcodel, Ding Zhao:
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. ICRA 2024: 9227-9233 - [c98]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA 2024: 10800-10806 - [c97]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. IROS 2024: 6877-6884 - [c96]Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao:
Gradient shaping for multi-constraint safe reinforcement learning. L4DC 2024: 25-39 - [c95]Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao:
Embodied Executable Policy Learning with Language-based Scene Summarization. NAACL-HLT 2024: 1896-1913 - [c94]Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard:
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. RoboSoft 2024: 332-339 - 2023
- [c93]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. ACL (Findings) 2023: 1584-1601 - [c92]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. AISTATS 2023: 2677-2703 - [c91]Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Vision-based Reinforcement Learning with Group Symmetries. CoRL 2023: 222-240 - [c90]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 - [c89]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL (Findings) 2023: 442-453 - [c88]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao:
Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP (Findings) 2023: 1789-1804 - [c87]Aditya Wadaskar, Ding Zhao, Ibrahim Pehlivan, Danijela Cabric:
Structured Two-Stage True-Time-Delay Array Code book Design for Multi - User Data Communication. GLOBECOM 2023: 3378-3384 - [c86]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. ICASSP 2023: 1-5 - [c85]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao:
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP 2023: 1-5 - [c84]Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar:
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP 2023: 1-5 - [c83]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR 2023 - [c82]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR 2023 - [c81]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c80]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao:
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML 2023: 21586-21610 - [c79]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML 2023: 21611-21630 - [c78]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao:
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML 2023: 43129-43157 - [c77]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 - [c76]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS 2023: 1023-1030 - [c75]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 - [c74]Chengxiang Zhao, Wenhao Yu, Xiaohan Ma, Yuzhuang Zhao, Boqi Li, Weida Wang, Jia Hu, Hong Wang, Ding Zhao:
Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance. ITSC 2023: 2376-2383 - [c73]Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS 2023: 480-497 - [c72]Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen:
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. MLHC 2023: 473-488 - [c71]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS 2023 - [c70]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS 2023 - [c69]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS 2023 - [c68]Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin:
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos. WACV 2023: 5177-5187 - 2022
- [c67]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL 2022: 354-374 - [c66]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL 2022: 812-823 - [c65]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL 2022: 1309-1320 - [c64]Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao:
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. CVPR 2022: 2540-2549 - [c63]Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR 2022 - [c62]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR 2022 - [c61]Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao:
Constrained Variational Policy Optimization for Safe Reinforcement Learning. ICML 2022: 13644-13668 - [c60]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML 2022: 24631-24645 - [c59]Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI 2022: 3099-3106 - [c58]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [c57]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:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH 2022: 1706-1710 - [c56]Ding Zhao, Zhan Zhang, Bin Yu, Yuehai Wang:
Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss. INTERSPEECH 2022: 5483-5487 - [c55]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS 2022: 12919-12926 - [c54]Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, Ding Zhao:
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS). ITSC 2022: 1736-1742 - [c53]Jiaxin Lin, Wenhui Zhou, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li:
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles. ITSC 2022: 2034-2041 - [c52]Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao:
Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC 2022: 2536-2541 - [c51]Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao:
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. MLHC 2022: 172-197 - [c50]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS 2022 - [c49]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS 2022 - [c48]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 - [c47]Xianxin Song, Ding Zhao, Haocheng Hua, Tony Xiao Han, Xun Yang, Jie Xu:
Joint Transmit and Reflective Beamforming for IRS-Assisted Integrated Sensing and Communication. WCNC 2022: 189-194 - 2021
- [c46]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 - [c45]Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang:
Dynamic Sparsity Neural Networks for Automatic Speech Recognition. ICASSP 2021: 6014-6018 - [c44]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 - [c43]Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw:
Personalized Keyphrase Detection Using Speaker and Environment Information. Interspeech 2021: 4204-4208 - 2020
- [c42]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, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 2020: 6059-6063 - [c41]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. ICRA 2020: 4314-4321 - [c40]Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. IROS 2020: 2243-2250 - [c39]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. IROS 2020: 11748-11754 - [c38]Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. IV 2020: 1197-1204 - [c37]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 - 2019
- [c36]Hasan Asy'ari Arief, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. CVPR Workshops 2019: 26-33 - [c35]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:
Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP 2019: 6381-6385 - [c34]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. ICRA 2019: 2793-2799 - [c33]Wenhao Ding, Wenshuo Wang, Ding Zhao:
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA 2019: 4255-4261 - [c32]Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang:
Shallow-Fusion End-to-End Contextual Biasing. INTERSPEECH 2019: 1418-1422 - [c31]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Evaluation Uncertainty in Data-Driven Self-Driving Testing. ITSC 2019: 1902-1907 - [c30]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC 2019: 3974-3980 - [c29]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. ITSC 2019: 4323-4328 - 2018
- [c28]Zhiyuan Huang, Yaohui Guo, Mansur Arief, Henry Lam, Ding Zhao:
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods. ACC 2018: 4796-4802 - [c27]Xun Gong, Yaohui Guo, Yiheng Feng, Jing Sun, Ding Zhao:
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles. ITSC 2018: 1981-1986 - [c26]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Synthesis of Different Autonomous Vehicles Test Approaches. ITSC 2018: 2000-2005 - [c25]Mansur Arief, Peter W. Glynn, Ding Zhao:
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets. ITSC 2018: 2006-2011 - [c24]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. ITSC 2018: 2052-2057 - [c23]Yan Chang, Weiqing Yang, Ding Zhao:
Energy Efficiency and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Data. ITSC 2018: 2058-2063 - [c22]Songan Zhang, Huei Peng, Ding Zhao, H. Eric Tseng:
Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique. ITSC 2018: 3935-3940 - [c21]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning. Intelligent Vehicles Symposium 2018: 1354-1359 - [c20]Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao:
Deep Context: End-to-end Contextual Speech Recognition. SLT 2018: 418-425 - [c19]Zhiyuan Huang, Henry Lam, Ding Zhao:
Designing Importance samplers to simulate Machine Learning Predictors via Optimization. WSC 2018: 1730-1741 - [c18]Zhiyuan Huang, Henry Lam, Ding Zhao:
Rare-Event simulation without Structural Information: a Learning-based Approach. WSC 2018: 1826-1837 - 2017
- [c17]Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick:
Development and evaluation of two learning-based personalized driver models for car-following behaviors. ACC 2017: 1133-1138 - [c16]Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng:
Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models. ICRA 2017: 197-202 - [c15]Zhiyuan Huang, Henry Lam, Ding Zhao:
Towards affordable on-track testing for autonomous vehicle - A Kriging-based statistical approach. ITSC 2017: 1-6 - [c14]Macheng Shen, Jing Sun, Ding Zhao:
Optimization of vehicle connections in V2V-based cooperative localization. ITSC 2017: 1-7 - [c13]Ding Zhao, Yaohui Guo, Yunhan Jack Jia:
TrafficNet: An open naturalistic driving scenario library. ITSC 2017: 1-8 - [c12]Zhiyuan Huang, Henry Lam, Ding Zhao:
An accelerated testing approach for automated vehicles with background traffic described by joint distributions. ITSC 2017: 933-938 - [c11]Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc:
Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data. Intelligent Vehicles Symposium 2017: 218-223 - [c10]Yunhan Jack Jia, Ding Zhao, Qi Alfred Chen, Zhuoqing Morley Mao:
Towards secure and safe appified automated vehicles. Intelligent Vehicles Symposium 2017: 705-711 - [c9]Ding Zhao, Wenshuo Wang, David J. LeBlanc:
Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data. Intelligent Vehicles Symposium 2017: 926-932 - [c8]Baiming Chen, Ding Zhao, Huei Peng:
Evaluation of automated vehicles encountering pedestrians at unsignalized crossings. Intelligent Vehicles Symposium 2017: 1679-1685 - [c7]Macheng Shen, Ding Zhao, Jing Sun:
The Impact of Road Configuration on V2V-Based Cooperative Localization. VTC Spring 2017: 1-6 - [c6]Zhiyuan Huang, Henry Lam, Ding Zhao:
Sequential experimentation to efficiently test automated vehicles. WSC 2017: 3078-3089 - 2016
- [c5]Macheng Shen, Ding Zhao, Jing Sun:
Enhancement of low-cost GNSS localization in connected vehicle networks using Rao-Blackwellized particle filters. ITSC 2016: 834-840 - 2015
- [c4]Min Qiu, Shuowei Dai, Guoping Liu, Hangbo Yang, Yuanqing Yang, Ding Zhao, Wei Wang, Qiang Li:
Nanowelding through plasmonic enhanced photothermal effects. ICTON 2015: 1 - [c3]Xiaoxiong Liu, Ding Zhao, Yunchuan Qin, Zhuo Tang:
Cloud Consumer Oriented Utility Model Research in Cloud Computing. UIC/ATC/ScalCom 2015: 1314-1318 - 2014
- [c2]Min Qiu, Xi Chen, Yuechun Shi, Yiting Chen, Hanmo Gong, Ding Zhao, Xingxing Chen, Yuanqing Yang, Min Yan, Qiang Li:
Plasmonic enhanced photothermal effects and its applications. ICTON 2014: 1-2 - 2013
- [c1]Min Qiu, Qiang Li, Weichun Zhang, Lijun Meng, Ding Zhao, Xi Chen, Yiting Chen, Min Yan:
Nanostructured plasmonic devices and their applications. ICAIT 2013: 79-80
Informal and Other Publications
- 2024
- [i148]Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao:
Learning from Sparse Offline Datasets via Conservative Density Estimation. CoRR abs/2401.08819 (2024) - [i147]William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao:
Interpretation of Intracardiac Electrograms Through Textual Representations. CoRR abs/2402.01115 (2024) - [i146]Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard:
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. CoRR abs/2403.09933 (2024) - [i145]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) - [i144]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - [i143]Haohong Lin, Radu Corcodel, Ding Zhao:
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. CoRR abs/2404.17684 (2024) - [i142]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. CoRR abs/2405.03534 (2024) - [i141]David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum:
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR abs/2405.06624 (2024) - [i140]Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao:
Feasibility Consistent Representation Learning for Safe Reinforcement Learning. CoRR abs/2405.11718 (2024) - [i139]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) - [i138]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) - [i137]Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots:
Agile Continuous Jumping in Discontinuous Terrains. CoRR abs/2409.10923 (2024) - [i136]Jikai Xu, Lei Wu, Changyi Lin, Ding Zhao, Huazhe Xu:
DTactive: A Vision-Based Tactile Sensor with Active Surface. CoRR abs/2410.08337 (2024) - [i135]Xilun Zhang, Shiqi Liu, Peide Huang, William Jongwon Han, Yiqi Lyu, Mengdi Xu, Ding Zhao:
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. CoRR abs/2410.20357 (2024) - [i134]Yuming Feng, Chuye Hong, Yaru Niu, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing. CoRR abs/2411.07104 (2024) - 2023
- [i133]Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? CoRR abs/2301.09017 (2023) - [i132]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) - [i131]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao:
Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR abs/2302.02092 (2023) - [i130]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR abs/2302.07351 (2023) - [i129]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR abs/2303.05193 (2023) - [i128]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. CoRR abs/2303.08343 (2023) - [i127]Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. CoRR abs/2304.06286 (2023) - [i126]Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen:
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR abs/2304.07675 (2023) - [i125]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR abs/2304.08487 (2023) - [i124]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR abs/2305.11340 (2023) - [i123]Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang:
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CoRR abs/2306.04216 (2023) - [i122]Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao:
Embodied Executable Policy Learning with Language-based Scene Summarization. CoRR abs/2306.05696 (2023) - [i121]Miao Li, Wenhao Ding, Ding Zhao:
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR abs/2306.09273 (2023) - [i120]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i119]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) - [i118]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR abs/2307.07907 (2023) - [i117]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i116]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR abs/2309.00711 (2023) - [i115]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR abs/2309.13150 (2023) - [i114]Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar:
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR abs/2310.00178 (2023) - [i113]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. CoRR abs/2310.00871 (2023) - [i112]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR abs/2310.03718 (2023) - [i111]Yikai Wang, Mengdi Xu, Guanya Shi, Ding Zhao:
Guardians as You Fall: Active Mode Transition for Safe Falling. CoRR abs/2310.04828 (2023) - [i110]Ye Li, Hanjiang Hu, Zuxin Liu, Ding Zhao:
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. CoRR abs/2310.05245 (2023) - [i109]Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor:
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR abs/2310.05905 (2023) - [i108]Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held:
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. CoRR abs/2310.06903 (2023) - [i107]Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao:
Creative Robot Tool Use with Large Language Models. CoRR abs/2310.13065 (2023) - [i106]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) - [i105]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR abs/2312.13303 (2023) - [i104]Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao:
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR abs/2312.15127 (2023) - 2022
- [i103]Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao:
Constrained Variational Policy Optimization for Safe Reinforcement Learning. CoRR abs/2201.11927 (2022) - [i102]Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao:
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. CoRR abs/2202.00567 (2022) - [i101]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) - [i100]Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. CoRR abs/2202.09514 (2022) - [i99]Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR abs/2203.08398 (2022) - [i98]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR abs/2203.12595 (2022) - [i97]Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Henry Lam, Bo Li, Ding Zhao:
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling. CoRR abs/2204.02351 (2022) - [i96]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
MHMS: Multimodal Hierarchical Multimedia Summarization. CoRR abs/2204.03734 (2022) - [i95]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:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR abs/2204.06164 (2022) - [i94]Jiaxin Liu, Wenhui Zhou, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li:
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles. CoRR abs/2204.11411 (2022) - [i93]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR abs/2205.14691 (2022) - [i92]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) - [i91]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR abs/2206.13499 (2022) - [i90]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR abs/2207.09081 (2022) - [i89]Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao:
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. CoRR abs/2208.01220 (2022) - [i88]William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao:
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. CoRR abs/2208.06348 (2022) - [i87]Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li:
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. CoRR abs/2209.04022 (2022) - [i86]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - [i85]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) - [i84]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR abs/2210.04625 (2022) - [i83]Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin:
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. CoRR abs/2210.04722 (2022) - [i82]Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin:
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos. CoRR abs/2210.05840 (2022) - [i81]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR abs/2210.10195 (2022) - [i80]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. CoRR abs/2210.12262 (2022) - [i79]Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Reinforcement Learning with Group Symmetries. CoRR abs/2210.12301 (2022) - [i78]Wenhao Yu, Chengxiang Zhao, Jiaxin Liu, Yingkai Yang, Xiaohan Ma, Jun Li, Weida Wang, Hong Wang, Ding Zhao:
Digitization of Chinese Traffic Laws: Methodologies, Quantative Analysis, and Usage for Monitoring Driving Compliance. CoRR abs/2212.04156 (2022) - [i77]Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li:
Are Multimodal Models Robust to Image and Text Perturbations? CoRR abs/2212.08044 (2022) - 2021
- [i76]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) - [i75]Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao:
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR abs/2102.03895 (2021) - [i74]Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw:
Personalized Keyphrase Detection using Speaker and Environment Information. CoRR abs/2104.13970 (2021) - [i73]Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao:
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. CoRR abs/2105.00373 (2021) - [i72]Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao:
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge. CoRR abs/2106.04066 (2021) - [i71]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR abs/2106.09292 (2021) - [i70]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR abs/2106.10566 (2021) - [i69]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
- [i68]Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. CoRR abs/2003.01197 (2020) - [i67]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, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR abs/2003.12710 (2020) - [i66]Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao:
Delay-Aware Model-Based Reinforcement Learning for Continuous Control. CoRR abs/2005.05440 (2020) - [i65]Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao:
Delay-Aware Multi-Agent Reinforcement Learning. CoRR abs/2005.05441 (2020) - [i64]Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang:
Dynamic Sparsity Neural Networks for Automatic Speech Recognition. CoRR abs/2005.10627 (2020) - [i63]Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao:
Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR abs/2006.10241 (2020) - [i62]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) - [i61]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) - [i60]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. CoRR abs/2007.15724 (2020) - [i59]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) - [i58]Yuanlu Bai, Zhiyuan Huang, Henry Lam, Ding Zhao:
Rare-Event Simulation for Neural Network and Random Forest Predictors. CoRR abs/2010.04890 (2020) - [i57]Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao:
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method. CoRR abs/2010.07968 (2020) - 2019
- [i56]Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation. CoRR abs/1904.09306 (2019) - [i55]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR abs/1906.10307 (2019) - [i54]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. CoRR abs/1907.07315 (2019) - [i53]Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao:
Active Learning for Risk-Sensitive Inverse Reinforcement Learning. CoRR abs/1909.07843 (2019) - [i52]Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao:
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. CoRR abs/1909.09079 (2019) - [i51]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. CoRR abs/1910.00099 (2019) - [i50]Weiyang Zhang, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. CoRR abs/1910.03633 (2019) - [i49]Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao:
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. CoRR abs/1910.08102 (2019) - [i48]Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao:
Recurrent Attentive Neural Process for Sequential Data. CoRR abs/1910.09323 (2019) - 2018
- [i47]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios. CoRR abs/1801.03905 (2018) - [i46]Zhaobin Mo, Sisi Li, Diange Yang, Ding Zhao:
Extracting V2V Encountering Scenarios from Naturalistic Driving Database. CoRR abs/1802.09917 (2018) - [i45]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Clustering of Naturalistic Driving Encounters Using Unsupervised Learning. CoRR abs/1802.10214 (2018) - [i44]Huajing Zhao, Zhaobin Mo, Macheng Shen, Jing Sun, Ding Zhao:
Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks. CoRR abs/1804.10064 (2018) - [i43]Mansur Arief, Peter W. Glynn, Ding Zhao:
An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets. CoRR abs/1805.02114 (2018) - [i42]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. CoRR abs/1805.04925 (2018) - [i41]Yan Chang, Weiqing Yang, Ding Zhao:
Fuel Economy and Emission Testing for Connected and Automated Vehicles Using Real-world Driving Datasets. CoRR abs/1805.07643 (2018) - [i40]Shenyu Mou, Yan Chang, Wenshuo Wang, Ding Zhao:
An Optimal LiDAR Configuration Approach for Self-Driving Cars. CoRR abs/1805.07843 (2018) - [i39]Xun Gong, Yaohui Guo, Yiheng Feng, Jing Sun, Ding Zhao:
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles. CoRR abs/1806.00377 (2018) - [i38]Wenshuo Wang, Aditya Ramesh, Ding Zhao:
Clustering of Driving Scenarios Using Connected Vehicle Datasets. CoRR abs/1807.08415 (2018) - [i37]Wenshuo Wang, Weiyang Zhang, Ding Zhao:
Understanding V2V Driving Scenarios through Traffic Primitives. CoRR abs/1807.10422 (2018) - [i36]Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao:
Deep context: end-to-end contextual speech recognition. CoRR abs/1808.02480 (2018) - [i35]Rui Chen, Mansur Arief, Ding Zhao:
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles. CoRR abs/1808.03089 (2018) - [i34]Wenhao Ding, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR abs/1809.05680 (2018) - [i33]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. CoRR abs/1809.05845 (2018) - [i32]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:
Streaming End-to-end Speech Recognition For Mobile Devices. CoRR abs/1811.06621 (2018) - 2017
- [i31]Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc:
Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models. CoRR abs/1701.08915 (2017) - [i30]Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc:
Analysis of Unprotected Intersection Left-Turn Conflicts based on Naturalistic Driving Data. CoRR abs/1702.00135 (2017) - [i29]Baiming Chen, Ding Zhao, Huei Peng:
Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings. CoRR abs/1702.00785 (2017) - [i28]Wenshuo Wang, Ding Zhao, Junqiang Xi, Wei Han:
A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model. CoRR abs/1702.01228 (2017) - [i27]Wenshuo Wang, Ding Zhao:
Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model. CoRR abs/1702.05779 (2017) - [i26]Macheng Shen, Ding Zhao, Jing Sun, Huei Peng:
Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments. CoRR abs/1702.05792 (2017) - [i25]Ding Zhao, Wenshuo Wang, David J. LeBlanc:
Evaluation of A Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data. CoRR abs/1702.06557 (2017) - [i24]Yunhan Jack Jia, Ding Zhao, Qi Alfred Chen, Zhuoqing Morley Mao:
Towards Secure and Safe Appified Automated Vehicles. CoRR abs/1702.06827 (2017) - [i23]Macheng Shen, Ding Zhao, Jing Sun:
The Impact of Road Configuration on V2V-based Cooperative Localization. CoRR abs/1703.02098 (2017) - [i22]Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick:
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors. CoRR abs/1703.03534 (2017) - [i21]Macheng Shen, Ding Zhao, Jing Sun:
Optimization of Vehicle Connections in V2V-based Cooperative Localization. CoRR abs/1703.08818 (2017) - [i20]Macheng Shen, Ding Zhao, Jing Sun:
The Impact of Road Configuration in V2V-based Cooperative Localization: Mathematical Analysis and Real-world Evaluation. CoRR abs/1705.00568 (2017) - [i19]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. CoRR abs/1706.07637 (2017) - [i18]Zhiyuan Huang, Henry Lam, Ding Zhao:
Sequential Experimentation to Efficiently Test Automated Vehicles. CoRR abs/1707.00224 (2017) - [i17]Ding Zhao, Huei Peng:
From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing. CoRR abs/1707.04792 (2017) - [i16]Zhiyuan Huang, Henry Lam, Ding Zhao:
An Accelerated Testing Approach for Automated Vehicles with Background Traffic Described by Joint Distributions. CoRR abs/1707.04896 (2017) - [i15]Zhiyuan Huang, Henry Lam, Ding Zhao:
Towards Affordable On-track Testing for Autonomous Vehicle - A Kriging-based Statistical Approach. CoRR abs/1707.04897 (2017) - [i14]Ding Zhao, Huei Peng, Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Christopher S. Pan:
Analysis of mandatory and discretionary lane change behaviors for heavy trucks. CoRR abs/1707.09411 (2017) - [i13]Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Ding Zhao, Huei Peng, Christopher S. Pan:
Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis. CoRR abs/1707.09415 (2017) - [i12]Weichao Zhuang, Xiaowu Zhang, Ding Zhao, Huei Peng, Lianmou Wang:
Optimal design of three-planetary-gear power-split hybrid powertrains. CoRR abs/1708.00151 (2017) - [i11]Ding Zhao, Yaohui Guo, Yunhan Jack Jia:
TrafficNet: An Open Naturalistic Driving Scenario Library. CoRR abs/1708.01872 (2017) - [i10]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches. CoRR abs/1708.08986 (2017) - [i9]Wenshuo Wang, Ding Zhao:
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications. CoRR abs/1709.03553 (2017) - [i8]Yaohui Guo, Zhaolun Su, Dmitry Berenson, Ding Zhao:
A Kinodynamic Aggressive Trajectory Planner For Narrow Passages. CoRR abs/1709.05443 (2017) - [i7]Macheng Shen, Huajing Zhao, Jing Sun, Ding Zhao:
Semi-Interpenetrating Cooperative Localization in Connected Vehicle Networks. CoRR abs/1709.05457 (2017) - [i6]Zhiyuan Huang, Yaohui Guo, Henry Lam, Ding Zhao:
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods. CoRR abs/1710.00283 (2017) - 2016
- [i5]Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan:
Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques. CoRR abs/1605.04965 (2016) - [i4]Macheng Shen, Ding Zhao, Jing Sun:
Enhancement of Low-cost GNSS Localization in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters. CoRR abs/1606.03736 (2016) - [i3]Xianan Huang, Ding Zhao, Huei Peng:
Empirical Study of DSRC Performance Based on Safety Pilot Model Deployment Data. CoRR abs/1606.08365 (2016) - [i2]Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc:
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers. CoRR abs/1607.02687 (2016) - [i1]Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng:
Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models. CoRR abs/1610.09450 (2016)
Coauthor Index
William Jongwon Han
aka: William Han
aka: William Han
[j29] [j16] [c110] [c106] [c104] [c103] [c102] [c100] [c96] [c83] [c80] [c79] [c75] [c70] [c69] [c65] [c64] [c61] [c48] [c44] [c39] [c37] [c34] [i148] [i140] [i130] [i120] [i116] [i115] [i112] [i110] [i109] [i108] [i106] [i104] [i103] [i93] [i92] [i85] [i84] [i76] [i73] [i65] [i62] [i60] [i57] [i33]
[j29] [j23] [j15] [c110] [c109] [c93] [c89] [c88] [c85] [c78] [c76] [c75] [c73] [c69] [c67] [c65] [c55] [c51] [c49] [c44] [c38] [c37] [c30] [c29] [c24] [i139] [i133] [i131] [i129] [i127] [i126] [i123] [i120] [i115] [i112] [i106] [i102] [i98] [i96] [i89] [i88] [i84] [i83] [i81] [i76] [i75] [i70] [i63] [i62] [i55] [i54] [i49] [i48] [i42]
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