title
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stringdate 1800-01-01 00:00:00
2025-01-01 00:00:00
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Combining reachability analysis and importance sampling for accelerated evaluation of highway automated vehicles at pedestrian crossing
|
2021
|
ASME Letters in Dynamic Systems and Control 1 (1), 011017, 2021
| 36 |
z7tPc9IAAAAJ:1sJd4Hv_s6UC
|
Zhao
|
Mechanical Engineering
|
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] |
Constrained Model-based Reinforcement Learning via Robust Planning
| null | 0 |
z7tPc9IAAAAJ:u9iWguZQMMsC
|
Zhao
|
Mechanical Engineering
|
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] |
|
Constrained decision transformer for offline safe reinforcement learning
|
2023
|
International Conference on Machine Learning, 21611-21630, 2023
| 73 |
z7tPc9IAAAAJ:eMMeJKvmdy0C
|
Zhao
|
Mechanical Engineering
|
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] |
Constrained variational policy optimization for safe reinforcement learning
|
2022
|
International Conference on Machine Learning, 13644-13668, 2022
| 96 |
z7tPc9IAAAAJ:pyW8ca7W8N0C
|
Zhao
|
Mechanical Engineering
|
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] |
Constraint-conditioned policy optimization for versatile safe reinforcement learning
|
2023
|
Advances in Neural Information Processing Systems 36, 12555-12568, 2023
| 19 |
z7tPc9IAAAAJ:kzcrU_BdoSEC
|
Zhao
|
Mechanical Engineering
|
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] |
Context-aware safe reinforcement learning for non-stationary environments
|
2021
|
2021 IEEE International Conference on Robotics and Automation (ICRA), 10689 …, 2021
| 43 |
z7tPc9IAAAAJ:roLk4NBRz8UC
|
Zhao
|
Mechanical Engineering
|
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] |
Continual vision-based reinforcement learning with group symmetries
|
2023
|
Conference on Robot Learning, 222-240, 2023
| 10 |
z7tPc9IAAAAJ:GnPB-g6toBAC
|
Zhao
|
Mechanical Engineering
|
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] |
Converting ecg signals to images for efficient image-text retrieval via encoding
|
2023
|
ArXiv, abs/2304.06286 27, 2023
| 2 |
z7tPc9IAAAAJ:bnK-pcrLprsC
|
Zhao
|
Mechanical Engineering
|
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] |
Copa: Certifying robust policies for offline reinforcement learning against poisoning attacks
|
2022
|
arXiv preprint arXiv:2203.08398, 2022
| 37 |
z7tPc9IAAAAJ:u_35RYKgDlwC
|
Zhao
|
Mechanical Engineering
|
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Crash avoidance systems-safety evaluation of an important class of electronic control systems
|
2019
|
University of Michigan, Ann Arbor, Transportation Research Institute, 2019
| 1 |
z7tPc9IAAAAJ:UeHWp8X0CEIC
|
Zhao
|
Mechanical Engineering
|
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] |
Creative robot tool use with large language models
|
2023
|
arXiv preprint arXiv:2310.13065, 2023
| 40 |
z7tPc9IAAAAJ:dQ2og3OwTAUC
|
Zhao
|
Mechanical Engineering
|
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] |
Crop: Certifying robust policies for reinforcement learning through functional smoothing
|
2021
|
arXiv preprint arXiv:2106.09292, 2021
| 57 |
z7tPc9IAAAAJ:P5F9QuxV20EC
|
Zhao
|
Mechanical Engineering
|
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] |
Curriculum reinforcement learning using optimal transport via gradual domain adaptation
|
2022
|
Advances in neural information processing systems 35, 10656-10670, 2022
| 35 |
z7tPc9IAAAAJ:bFI3QPDXJZMC
|
Zhao
|
Mechanical Engineering
|
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] |
DTactive: A Vision-Based Tactile Sensor with Active Surface
|
2024
|
arXiv preprint arXiv:2410.08337, 2024
| 0 |
z7tPc9IAAAAJ:ILKRHgRFtOwC
|
Zhao
|
Mechanical Engineering
|
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] |
Data augmentation via wasserstein geodesic perturbation for robust electrocardiogram prediction
| null | 1 |
z7tPc9IAAAAJ:Y5dfb0dijaUC
|
Zhao
|
Mechanical Engineering
|
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] |
|
Datasets and benchmarks for offline safe reinforcement learning
|
2023
|
arXiv preprint arXiv:2306.09303, 2023
| 45 |
z7tPc9IAAAAJ:ye4kPcJQO24C
|
Zhao
|
Mechanical Engineering
|
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] |
Deep probabilistic accelerated evaluation: A certifiable rare-event simulation methodology for black-box autonomy
|
2020
|
arXiv preprint arXiv:2006.15722 1 (4), 2020
| 10 |
z7tPc9IAAAAJ:ZuybSZzF8UAC
|
Zhao
|
Mechanical Engineering
|
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] |
Deep probabilistic accelerated evaluation: A robust certifiable rare-event simulation methodology for black-box safety-critical systems
|
2021
|
International Conference on Artificial Intelligence and Statistics, 595-603, 2021
| 37 |
z7tPc9IAAAAJ:vV6vV6tmYwMC
|
Zhao
|
Mechanical Engineering
|
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] |
Delay-aware model-based reinforcement learning for continuous control
|
2021
|
Neurocomputing 450, 119-128, 2021
| 83 |
z7tPc9IAAAAJ:hqOjcs7Dif8C
|
Zhao
|
Mechanical Engineering
|
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] |
Delay-aware multi-agent reinforcement learning for cooperative and competitive environments
|
2020
|
arXiv preprint arXiv:2005.05441, 2020
| 47 |
z7tPc9IAAAAJ:qjMakFHDy7sC
|
Zhao
|
Mechanical Engineering
|
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] |
Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications.
|
2019
|
CVPR Workshops, 26-33, 2019
| 8 |
z7tPc9IAAAAJ:MXK_kJrjxJIC
|
Zhao
|
Mechanical Engineering
|
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] |
Designing importance samplers to simulate machine learning predictors via optimization
|
2018
|
2018 Winter Simulation Conference (WSC), 1730-1741, 2018
| 10 |
z7tPc9IAAAAJ:hFOr9nPyWt4C
|
Zhao
|
Mechanical Engineering
|
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] |
Development and evaluation of two learning-based personalized driver models for car-following behaviors
|
2017
|
2017 American Control Conference (ACC), 1133-1138, 2017
| 30 |
z7tPc9IAAAAJ:cFHS6HbyZ2cC
|
Zhao
|
Mechanical Engineering
|
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] |
Diffscene: Diffusion-based safety-critical scenario generation for autonomous vehicles
|
2023
|
The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023
| 33 |
z7tPc9IAAAAJ:NJ774b8OgUMC
|
Zhao
|
Mechanical Engineering
|
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] |
Digitization of Chinese traffic laws: Methodologies, quantative analysis, and usage for monitoring driving compliance
|
2022
|
CoRR, 2022
| 2 |
z7tPc9IAAAAJ:eq2jaN3J8jMC
|
Zhao
|
Mechanical Engineering
|
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] |
Driving style analysis using primitive driving patterns with Bayesian nonparametric approaches
|
2018
|
IEEE Transactions on Intelligent Transportation Systems 20 (8), 2986-2998, 2018
| 181 |
z7tPc9IAAAAJ:D03iK_w7-QYC
|
Zhao
|
Mechanical Engineering
|
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] |
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
|
2025
|
IEEE Robotics and Automation Letters, 2025
| 1 |
z7tPc9IAAAAJ:Z5m8FVwuT1cC
|
Zhao
|
Mechanical Engineering
|
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] |
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling
|
2024
|
arXiv preprint arXiv:2412.14373, 2024
| 0 |
z7tPc9IAAAAJ:BUYA1_V_uYcC
|
Zhao
|
Mechanical Engineering
|
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] |
Eco-trajectory planning with consideration of queue along congested corridor for hybrid electric vehicles
|
2019
|
Transportation research record 2673 (9), 277-286, 2019
| 56 |
z7tPc9IAAAAJ:M3NEmzRMIkIC
|
Zhao
|
Mechanical Engineering
|
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] |
Effect of GaAs Substrate Temperature on Indium Droplets Grown by Droplet Epitaxy.
|
2021
|
Journal of Synthetic Crystals 50 (8), 2021
| 0 |
z7tPc9IAAAAJ:t6usbXjVLHcC
|
Zhao
|
Mechanical Engineering
|
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] |
Effect of substrate temperature and annealing on InAs quantum dots grown by droplet epitaxy.
|
2018
|
Journal of Functional Materials/Gongneng Cailiao 49 (3), 2018
| 0 |
z7tPc9IAAAAJ:HE397vMXCloC
|
Zhao
|
Mechanical Engineering
|
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] |
Embodied executable policy learning with language-based scene summarization
|
2023
|
arXiv preprint arXiv:2306.05696, 2023
| 7 |
z7tPc9IAAAAJ:AXPGKjj_ei8C
|
Zhao
|
Mechanical Engineering
|
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] |
Empirical study of DSRC performance based on safety pilot model deployment data
|
2017
|
IEEE Transactions on Intelligent Transportation Systems 18 (10), 2619-2628, 2017
| 86 |
z7tPc9IAAAAJ:dshw04ExmUIC
|
Zhao
|
Mechanical Engineering
|
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] |
Energy efficiency and emission testing for connected and automated vehicles using real-world driving data
|
2018
|
2018 21st International Conference on Intelligent Transportation Systems …, 2018
| 17 |
z7tPc9IAAAAJ:4TOpqqG69KYC
|
Zhao
|
Mechanical Engineering
|
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] |
Enhancement of low-cost GNSS localization in connected vehicle networks using Rao-Blackwellized particle filters
|
2016
|
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
| 10 |
z7tPc9IAAAAJ:R3hNpaxXUhUC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data
|
2017
|
2017 IEEE Intelligent Vehicles Symposium (IV), 926-932, 2017
| 5 |
z7tPc9IAAAAJ:sSrBHYA8nusC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of automated vehicles encountering pedestrians at unsignalized crossings
|
2017
|
2017 IEEE Intelligent Vehicles Symposium (IV), 1679-1685, 2017
| 47 |
z7tPc9IAAAAJ:k_IJM867U9cC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of automated vehicles in the frontal cut-in scenario—An enhanced approach using piecewise mixture models
|
2017
|
2017 IEEE International Conference on Robotics and Automation (ICRA), 197-202, 2017
| 44 |
z7tPc9IAAAAJ:ns9cj8rnVeAC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of lane departure correction systems using a regenerative stochastic driver model
|
2017
|
IEEE Transactions on Intelligent Vehicles 2 (3), 221-232, 2017
| 38 |
z7tPc9IAAAAJ:bEWYMUwI8FkC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of lane departure correction systems using a stochastic driver model
|
2017
|
arXiv preprint arXiv:1702.05779, 2017
| 2 |
z7tPc9IAAAAJ:TQgYirikUcIC
|
Zhao
|
Mechanical Engineering
|
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] |
Evaluation of the energy efficiency in a mixed traffic with automated vehicles and human controlled vehicles
|
2018
|
2018 21st International Conference on Intelligent Transportation Systems …, 2018
| 13 |
z7tPc9IAAAAJ:f2IySw72cVMC
|
Zhao
|
Mechanical Engineering
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] |
Evaluation uncertainty in data-driven self-driving testing
|
2019
|
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1902-1907, 2019
| 24 |
z7tPc9IAAAAJ:r0BpntZqJG4C
|
Zhao
|
Mechanical Engineering
|
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] |
Extracting traffic primitives directly from naturalistically logged data for self-driving applications
|
2018
|
IEEE Robotics and Automation Letters 3 (2), 1223-1229, 2018
| 96 |
z7tPc9IAAAAJ:LkGwnXOMwfcC
|
Zhao
|
Mechanical Engineering
|
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] |
Extraction of V2V Encountering Scenarios from Naturalistic Driving Database
|
2018
|
arXiv preprint arXiv:1802.09917, 2018
| 2 |
z7tPc9IAAAAJ:aqlVkmm33-oC
|
Zhao
|
Mechanical Engineering
|
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] |
Feasibility consistent representation learning for safe reinforcement learning
|
2024
|
arXiv preprint arXiv:2405.11718, 2024
| 2 |
z7tPc9IAAAAJ:t7zJ5fGR-2UC
|
Zhao
|
Mechanical Engineering
|
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] |
From the lab to the street: Solving the challenge of accelerating automated vehicle testing
|
2017
|
arXiv preprint arXiv:1707.04792, 2017
| 56 |
z7tPc9IAAAAJ:fQNAKQ3IYiAC
|
Zhao
|
Mechanical Engineering
|
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] |
Functional optimal transport: Mapping estimation and domain adaptation for functional data
|
2021
|
arXiv preprint arXiv:2102.03895, 2021
| 5 |
z7tPc9IAAAAJ:q3oQSFYPqjQC
|
Zhao
|
Mechanical Engineering
|
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] |
Functional optimal transport: map estimation and domain adaptation for functional data
|
2021
|
arXiv preprint arXiv:2102.03895, 2021
| 7 |
z7tPc9IAAAAJ:ULOm3_A8WrAC
|
Zhao
|
Mechanical Engineering
|
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] |
Functional optimal transport: regularized map estimation and domain adaptation for functional data
|
2024
|
Journal of Machine Learning Research 25 (276), 1-49, 2024
| 0 |
z7tPc9IAAAAJ:AvfA0Oy_GE0C
|
Zhao
|
Mechanical Engineering
|
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-0.050725068897008896,
0.03282534331083298
] |
Gap acceptance during lane changes by large-truck drivers—An image-based analysis
|
2015
|
IEEE transactions on intelligent transportation systems 17 (3), 772-781, 2015
| 29 |
z7tPc9IAAAAJ:xtRiw3GOFMkC
|
Zhao
|
Mechanical Engineering
|
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] |
Generalize by touching: Tactile ensemble skill transfer for robotic furniture assembly
|
2024
|
2024 IEEE International Conference on Robotics and Automation (ICRA), 9227-9233, 2024
| 5 |
z7tPc9IAAAAJ:uJ-U7cs_P_0C
|
Zhao
|
Mechanical Engineering
|
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] |
Generalizing goal-conditioned reinforcement learning with variational causal reasoning
|
2022
|
Advances in Neural Information Processing Systems 35, 26532-26548, 2022
| 47 |
z7tPc9IAAAAJ:0EnyYjriUFMC
|
Zhao
|
Mechanical Engineering
|
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] |
Geoecg: Data augmentation via wasserstein geodesic perturbation for robust electrocardiogram prediction
|
2022
|
Machine Learning for Healthcare Conference, 172-197, 2022
| 15 |
z7tPc9IAAAAJ:YsMSGLbcyi4C
|
Zhao
|
Mechanical Engineering
|
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] |
Goats: Goal sampling adaptation for scooping with curriculum reinforcement learning
|
2023
|
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
| 9 |
z7tPc9IAAAAJ:_B80troHkn4C
|
Zhao
|
Mechanical Engineering
|
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] |
Gradient shaping for multi-constraint safe reinforcement learning
|
2024
|
6th Annual Learning for Dynamics & Control Conference, 25-39, 2024
| 6 |
z7tPc9IAAAAJ:Fu2w8maKXqMC
|
Zhao
|
Mechanical Engineering
|
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] |
Group distributionally robust reinforcement learning with hierarchical latent variables
|
2023
|
International Conference on Artificial Intelligence and Statistics, 2677-2703, 2023
| 13 |
z7tPc9IAAAAJ:PELIpwtuRlgC
|
Zhao
|
Mechanical Engineering
|
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] |
Guardians as you fall: Active mode transition for safe falling
|
2024
|
2024 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-8, 2024
| 6 |
z7tPc9IAAAAJ:VL0QpB8kHFEC
|
Zhao
|
Mechanical Engineering
|
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] |
Highway exiting planner for automated vehicles using reinforcement learning
|
2020
|
IEEE Transactions on Intelligent Transportation Systems 22 (2), 990-1000, 2020
| 64 |
z7tPc9IAAAAJ:eQOLeE2rZwMC
|
Zhao
|
Mechanical Engineering
|
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] |
How much data are enough? A statistical approach with case study on longitudinal driving behavior
|
2017
|
IEEE Transactions on Intelligent Vehicles 2 (2), 85-98, 2017
| 109 |
z7tPc9IAAAAJ:5Ul4iDaHHb8C
|
Zhao
|
Mechanical Engineering
|
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] |
How to evaluate proving grounds for self-driving? A quantitative approach
|
2020
|
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5737-5748, 2020
| 20 |
z7tPc9IAAAAJ:isC4tDSrTZIC
|
Zhao
|
Mechanical Engineering
|
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] |
Hyper-decision transformer for efficient online policy adaptation
|
2023
|
arXiv preprint arXiv:2304.08487, 2023
| 43 |
z7tPc9IAAAAJ:wbdj-CoPYUoC
|
Zhao
|
Mechanical Engineering
|
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] |
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles
|
2021
|
arXiv e-prints, arXiv: 2105.00373, 2021
| 3 |
z7tPc9IAAAAJ:b0M2c_1WBrUC
|
Zhao
|
Mechanical Engineering
|
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] |
Improving localization accuracy in connected vehicle networks using Rao–Blackwellized particle filters: Theory, simulations, and experiments
|
2018
|
IEEE Transactions on Intelligent Transportation Systems 20 (6), 2255-2266, 2018
| 44 |
z7tPc9IAAAAJ:BqipwSGYUEgC
|
Zhao
|
Mechanical Engineering
|
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] |
Influence of camera-lidar configuration on 3d object detection for autonomous driving
|
2024
|
2024 IEEE International Conference on Robotics and Automation (ICRA), 9018-9025, 2024
| 6 |
z7tPc9IAAAAJ:fEOibwPWpKIC
|
Zhao
|
Mechanical Engineering
|
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] |
Intelligent and connected vehicles: Current status and future perspectives
|
2018
|
Science China Technological Sciences 61, 1446-1471, 2018
| 196 |
z7tPc9IAAAAJ:mVmsd5A6BfQC
|
Zhao
|
Mechanical Engineering
|
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] |
Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks
|
2018
|
arXiv preprint arXiv:1804.10064, 2018
| 1 |
z7tPc9IAAAAJ:TFP_iSt0sucC
|
Zhao
|
Mechanical Engineering
|
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] |
Interpolation for robust learning: Data augmentation on Wasserstein geodesics
|
2023
|
International conference on machine learning, 43129-43157, 2023
| 2 |
z7tPc9IAAAAJ:EkHepimYqZsC
|
Zhao
|
Mechanical Engineering
|
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] |
Interpolation for robust learning: Data augmentation on geodesics
|
2023
|
ArXiv, 2023
| 3 |
z7tPc9IAAAAJ:SP6oXDckpogC
|
Zhao
|
Mechanical Engineering
|
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] |
Interpretation of Intracardiac Electrograms Through Textual Representations
|
2024
|
arXiv preprint arXiv:2402.01115, 2024
| 2 |
z7tPc9IAAAAJ:ZfRJV9d4-WMC
|
Zhao
|
Mechanical Engineering
|
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] |
Interpretation of Intracardiac Electrograms Through Textual Representations
|
2024
|
arXiv e-prints, arXiv: 2402.01115, 2024
| 0 |
z7tPc9IAAAAJ:2KloaMYe4IUC
|
Zhao
|
Mechanical Engineering
|
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] |
Investigating the impact of multi-lidar placement on object detection for autonomous driving
|
2022
|
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
| 59 |
z7tPc9IAAAAJ:XiSMed-E-HIC
|
Zhao
|
Mechanical Engineering
|
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] |
Jingze Yu. The robodepth challenge: Methods and advancements towards robust depth estimation
|
2023
|
arXiv preprint arXiv:2307.15061 2, 27, 2023
| 19 |
z7tPc9IAAAAJ:tYavs44e6CUC
|
Zhao
|
Mechanical Engineering
|
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] |
Labeling Roads with Different Types of Automated Driving Functional Requirements using Machine Learning
|
2020
|
Mobility21, Carnegie Mellon University, 2020
| 0 |
z7tPc9IAAAAJ:tKAzc9rXhukC
|
Zhao
|
Mechanical Engineering
|
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] |
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing
|
2024
|
arXiv preprint arXiv:2411.07104, 2024
| 2 |
z7tPc9IAAAAJ:hMsQuOkrut0C
|
Zhao
|
Mechanical Engineering
|
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] |
Learning and inferring a driver's braking action in car-following scenarios
|
2018
|
IEEE Transactions on Vehicular Technology 67 (5), 3887-3899, 2018
| 120 |
z7tPc9IAAAAJ:4fKUyHm3Qg0C
|
Zhao
|
Mechanical Engineering
|
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] |
Learning from sparse offline datasets via conservative density estimation
|
2024
|
arXiv preprint arXiv:2401.08819, 2024
| 7 |
z7tPc9IAAAAJ:7T2F9Uy0os0C
|
Zhao
|
Mechanical Engineering
|
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] |
Learning shared safety constraints from multi-task demonstrations
|
2023
|
Advances in Neural Information Processing Systems 36, 5808-5826, 2023
| 17 |
z7tPc9IAAAAJ:tzM49s52ZIMC
|
Zhao
|
Mechanical Engineering
|
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] |
Learning to collide: An adaptive safety-critical scenarios generating method
|
2020
|
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
| 116 |
z7tPc9IAAAAJ:a0OBvERweLwC
|
Zhao
|
Mechanical Engineering
|
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] |
Learning to explore (L2E): Deep reinforcement learning-based autonomous exploration for household robot
|
2023
| 3 |
z7tPc9IAAAAJ:SdhP9T11ey4C
|
Zhao
|
Mechanical Engineering
|
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] |
|
Learning to view: Decision transformers for active object detection
|
2023
|
2023 IEEE International Conference on Robotics and Automation (ICRA), 7140-7146, 2023
| 17 |
z7tPc9IAAAAJ:V3AGJWp-ZtQC
|
Zhao
|
Mechanical Engineering
|
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] |
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos Supplementary Materials
| null | 0 |
z7tPc9IAAAAJ:tOudhMTPpwUC
|
Zhao
|
Mechanical Engineering
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] |
|
Liveseg: Unsupervised multimodal temporal segmentation of long livestream videos
|
2023
|
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
| 5 |
z7tPc9IAAAAJ:M3ejUd6NZC8C
|
Zhao
|
Mechanical Engineering
|
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] |
Locoman: Advancing versatile quadrupedal dexterity with lightweight loco-manipulators
|
2024
|
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
| 10 |
z7tPc9IAAAAJ:nrtMV_XWKgEC
|
Zhao
|
Mechanical Engineering
|
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] |
Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments
|
2020
|
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
| 132 |
z7tPc9IAAAAJ:u-x6o8ySG0sC
|
Zhao
|
Mechanical Engineering
|
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] |
Meta-evolve: Continuous robot evolution for one-to-many policy transfer
|
2024
|
arXiv preprint arXiv:2405.03534, 2024
| 4 |
z7tPc9IAAAAJ:VLnqNzywnoUC
|
Zhao
|
Mechanical Engineering
|
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] |
Mhms: Multimodal hierarchical multimedia summarization
|
2022
|
arXiv preprint arXiv:2204.03734, 2022
| 20 |
z7tPc9IAAAAJ:RYcK_YlVTxYC
|
Zhao
|
Mechanical Engineering
|
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] |
Modeling multi-vehicle interaction scenarios using gaussian random field
|
2019
|
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3974-3980, 2019
| 52 |
z7tPc9IAAAAJ:K3LRdlH-MEoC
|
Zhao
|
Mechanical Engineering
|
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] |
Multi-vehicle interaction scenarios generation with interpretable traffic primitives and gaussian process regression
|
2020
|
2020 IEEE Intelligent Vehicles Symposium (IV), 1197-1204, 2020
| 18 |
z7tPc9IAAAAJ:Tiz5es2fbqcC
|
Zhao
|
Mechanical Engineering
|
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] |
Multimodal representation learning of cardiovascular magnetic resonance imaging
|
2023
|
arXiv preprint arXiv:2304.07675, 2023
| 6 |
z7tPc9IAAAAJ:XiVPGOgt02cC
|
Zhao
|
Mechanical Engineering
|
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0.036007121205329895,
-0.04061562940478325,
-0.013302139937877655,
-0.01018543355166912,
0.00282893143594265,
-0.009934227913618088,
-0.021525388583540916,
-0.012123845517635345
] |
Multimodal safety-critical scenarios generation for decision-making algorithms evaluation
|
2021
|
IEEE Robotics and Automation Letters 6 (2), 1551-1558, 2021
| 119 |
z7tPc9IAAAAJ:UxriW0iASnsC
|
Zhao
|
Mechanical Engineering
|
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] |
Multisum: A dataset for multimodal summarization and thumbnail generation of videos
|
2023
|
arXiv preprint arXiv:2306.04216 3, 2023
| 7 |
z7tPc9IAAAAJ:Mojj43d5GZwC
|
Zhao
|
Mechanical Engineering
|
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] |
Oasis: Conditional distribution shaping for offline safe reinforcement learning
|
2024
|
Advances in Neural Information Processing Systems 37, 78451-78478, 2024
| 3 |
z7tPc9IAAAAJ:epqYDVWIO7EC
|
Zhao
|
Mechanical Engineering
|
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] |
On the robustness of safe reinforcement learning under observational perturbations
|
2022
|
arXiv preprint arXiv:2205.14691, 2022
| 44 |
z7tPc9IAAAAJ:3s1wT3WcHBgC
|
Zhao
|
Mechanical Engineering
|
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] |
Online legal driving behavior monitoring for self-driving vehicles
|
2024
|
Nature communications 15 (1), 408, 2024
| 24 |
z7tPc9IAAAAJ:_Re3VWB3Y0AC
|
Zhao
|
Mechanical Engineering
|
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] |
Optimal design of three-planetary-gear power-split hybrid powertrains
|
2016
|
International Journal of Automotive Technology 17, 299-309, 2016
| 52 |
z7tPc9IAAAAJ:LPZeul_q3PIC
|
Zhao
|
Mechanical Engineering
|
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] |
Optimal transport based data augmentation for heart disease diagnosis and prediction
|
2022
|
arXiv preprint arXiv:2202.00567, 2022
| 13 |
z7tPc9IAAAAJ:_Qo2XoVZTnwC
|
Zhao
|
Mechanical Engineering
|
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] |
Optimization of vehicle connections in V2V-based cooperative localization
|
2017
|
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
| 7 |
z7tPc9IAAAAJ:RHpTSmoSYBkC
|
Zhao
|
Mechanical Engineering
|
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] |
Overconservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation
|
2024
|
Management Science 70 (10), 6852-6873, 2024
| 6 |
z7tPc9IAAAAJ:u5HHmVD_uO8C
|
Zhao
|
Mechanical Engineering
|
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] |
Physiomtl: Personalizing physiological patterns using optimal transport multi-task regression
|
2022
|
arXiv preprint arXiv:2203.12595, 2022
| 6 |
z7tPc9IAAAAJ:e5wmG9Sq2KIC
|
Zhao
|
Mechanical Engineering
|
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] |
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
|
2024
|
International Conference on Artificial Intelligence and Statistics, 217-225, 2024
| 0 |
z7tPc9IAAAAJ:ipzZ9siozwsC
|
Zhao
|
Mechanical Engineering
|
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