Ding Zhao

According to our database1, Ding Zhao authored at least 195 papers between 2013 and 2024.

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Bibliography

2024
Interpretation of Intracardiac Electrograms Through Textual Representations.
CoRR, 2024

Learning from Sparse Offline Datasets via Conservative Density Estimation.
CoRR, 2024

2023
Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles.
IEEE Trans. Intell. Transp. Syst., December, 2023

A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.
IEEE Trans. Intell. Transp. Syst., 2023

Gradient Shaping for Multi-Constraint Safe Reinforcement Learning.
CoRR, 2023

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.
CoRR, 2023

Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving.
CoRR, 2023

Creative Robot Tool Use with Large Language Models.
CoRR, 2023

Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization.
CoRR, 2023

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models.
CoRR, 2023

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving.
CoRR, 2023

Guardians as You Fall: Active Mode Transition for Safe Falling.
CoRR, 2023

COMPOSER: Scalable and Robust Modular Policies for Snake Robots.
CoRR, 2023

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.
CoRR, 2023

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations.
CoRR, 2023

Learning Shared Safety Constraints from Multi-task Demonstrations.
CoRR, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.
CoRR, 2023

Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning.
CoRR, 2023

Embodied Executable Policy Learning with Language-based Scene Summarization.
CoRR, 2023

MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.
CoRR, 2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.
CoRR, 2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.
CoRR, 2023

Interpolation for Robust Learning: Data Augmentation on Geodesics.
CoRR, 2023

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Shared Safety Constraints from Multi-task Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.
Proceedings of the Machine Learning for Health, 2023

Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning.
IROS, 2023

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.
IROS, 2023

Learning to View: Decision Transformers for Active Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.
Proceedings of the International Conference on Machine Learning, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.
Proceedings of the International Conference on Machine Learning, 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.
Proceedings of the International Conference on Machine Learning, 2023

Hyper-Decision Transformer for Efficient Online Policy Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Structured Two-Stage True-Time-Delay Array Code book Design for Multi - User Data Communication.
Proceedings of the IEEE Global Communications Conference, 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Continual Vision-based Reinforcement Learning with Group Symmetries.
Proceedings of the Conference on Robot Learning, 2023

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery.
Proceedings of the Conference on Robot Learning, 2023

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Rare-event Simulation for Neural Network and Random Forest Predictors.
ACM Trans. Model. Comput. Simul., 2022

Understanding V2V Driving Scenarios Through Traffic Primitives.
IEEE Trans. Intell. Transp. Syst., 2022

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications.
IEEE Trans Autom. Sci. Eng., 2022

Are Multimodal Models Robust to Image and Text Perturbations?
CoRR, 2022

Digitization of Chinese Traffic Laws: Methodologies, Quantative Analysis, and Usage for Monitoring Driving Compliance.
CoRR, 2022

Continual Reinforcement Learning with Group Symmetries.
CoRR, 2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
CoRR, 2022

Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR, 2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions.
CoRR, 2022

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.
CoRR, 2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles.
CoRR, 2022

MHMS: Multimodal Hierarchical Multimedia Summarization.
CoRR, 2022

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.
CoRR, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
CoRR, 2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.
CoRR, 2022

Joint Transmit and Reflective Beamforming for IRS-Assisted Integrated Sensing and Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Coalitional Fairness of Autonomous Vehicles at a T-Intersection.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss.
Proceedings of the Interspeech 2022, 2022

Federated Pruning: Improving Neural Network Efficiency with Federated Learning.
Proceedings of the Interspeech 2022, 2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes.
Proceedings of the Interspeech 2022, 2022

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prompting Decision Transformer for Few-Shot Policy Generalization.
Proceedings of the International Conference on Machine Learning, 2022

Constrained Variational Policy Optimization for Safe Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robustness Certification of Visual Perception Models via Camera Motion Smoothing.
Proceedings of the Conference on Robot Learning, 2022

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation.
Proceedings of the Conference on Robot Learning, 2022

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2021
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach.
IEEE Trans. Intell. Transp. Syst., 2021

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
IEEE Robotics Autom. Lett., 2021

Delay-aware model-based reinforcement learning for continuous control.
Neurocomputing, 2021

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.
CoRR, 2021

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling.
CoRR, 2021

Semantically Controllable Scene Generation with Guidance of Explicit Knowledge.
CoRR, 2021

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles.
CoRR, 2021

Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.
CoRR, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.
CoRR, 2021

Personalized Keyphrase Detection Using Speaker and Environment Information.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamic Sparsity Neural Networks for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.
IEEE Trans. Intell. Veh., 2020

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method.
CoRR, 2020

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy.
CoRR, 2020

Robust Unsupervised Learning of Temporal Dynamic Interactions.
CoRR, 2020

Delay-Aware Multi-Agent Reinforcement Learning.
CoRR, 2020

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.
CoRR, 2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.
CoRR, 2020

Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road.
IEEE Access, 2020

SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data.
IEEE Access, 2020

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020


2019
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches.
IEEE Trans. Intell. Transp. Syst., 2019

Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments.
IEEE Trans. Intell. Transp. Syst., 2019

Destriping Algorithms Based on Statistics and Spatial Filtering for Visible-to-Thermal Infrared Pushbroom Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019

Recurrent Attentive Neural Process for Sequential Data.
CoRR, 2019

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.
CoRR, 2019

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.
CoRR, 2019

Active Learning for Risk-Sensitive Inverse Reinforcement Learning.
CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.
CoRR, 2019

Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation.
CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Evaluation Uncertainty in Data-Driven Self-Driving Testing.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Shallow-Fusion End-to-End Contextual Biasing.
Proceedings of the Interspeech 2019, 2019

Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach.
Proceedings of the International Conference on Robotics and Automation, 2019

A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios.
Proceedings of the International Conference on Robotics and Automation, 2019


Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model.
IEEE Trans. Veh. Technol., 2018

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios.
IEEE Trans. Veh. Technol., 2018

Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers.
IEEE Trans. Intell. Transp. Syst., 2018

The Impact of Road Configuration in V2V-Based Cooperative Localization: Mathematical Analysis and Real-World Evaluation.
IEEE Trans. Intell. Transp. Syst., 2018

Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models.
IEEE Trans. Intell. Transp. Syst., 2018

Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications.
IEEE Robotics Autom. Lett., 2018

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters.
CoRR, 2018

An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles.
CoRR, 2018

Understanding V2V Driving Scenarios through Traffic Primitives.
CoRR, 2018

Clustering of Driving Scenarios Using Connected Vehicle Datasets.
CoRR, 2018

An Optimal LiDAR Configuration Approach for Self-Driving Cars.
CoRR, 2018

Fuel Economy and Emission Testing for Connected and Automated Vehicles Using Real-world Driving Datasets.
CoRR, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets.
CoRR, 2018

Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks.
CoRR, 2018

Clustering of Naturalistic Driving Encounters Using Unsupervised Learning.
CoRR, 2018

Extracting V2V Encountering Scenarios from Naturalistic Driving Database.
CoRR, 2018

Rare-Event simulation without Structural Information: a Learning-based Approach.
Proceedings of the 2018 Winter Simulation Conference, 2018

Designing Importance samplers to simulate Machine Learning Predictors via Optimization.
Proceedings of the 2018 Winter Simulation Conference, 2018

Deep Context: End-to-end Contextual Speech Recognition.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Synthesis of Different Autonomous Vehicles Test Approaches.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Energy Efficiency and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model.
IEEE Trans. Intell. Veh., 2017

How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior.
IEEE Trans. Intell. Veh., 2017

Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques.
IEEE Trans. Intell. Transp. Syst., 2017

Empirical Study of DSRC Performance Based on Safety Pilot Model Deployment Data.
IEEE Trans. Intell. Transp. Syst., 2017

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.
CoRR, 2017

Semi-Interpenetrating Cooperative Localization in Connected Vehicle Networks.
CoRR, 2017

A Kinodynamic Aggressive Trajectory Planner For Narrow Passages.
CoRR, 2017

Optimal design of three-planetary-gear power-split hybrid powertrains.
CoRR, 2017

Analysis of mandatory and discretionary lane change behaviors for heavy trucks.
CoRR, 2017

From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing.
CoRR, 2017

Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model.
CoRR, 2017

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior.
CoRR, 2017

The Impact of Road Configuration in V2V-based Cooperative Localization: Mathematical Analysis and Real-world Evaluation.
CoRR, 2017

Optimization of Vehicle Connections in V2V-based Cooperative Localization.
CoRR, 2017

The Impact of Road Configuration on V2V-based Cooperative Localization.
CoRR, 2017

Sequential experimentation to efficiently test automated vehicles.
Proceedings of the 2017 Winter Simulation Conference, 2017

The Impact of Road Configuration on V2V-Based Cooperative Localization.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Towards secure and safe appified automated vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Evaluation of automated vehicles encountering pedestrians at unsignalized crossings.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

TrafficNet: An open naturalistic driving scenario library.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Optimization of vehicle connections in V2V-based cooperative localization.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

An accelerated testing approach for automated vehicles with background traffic described by joint distributions.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Towards affordable on-track testing for autonomous vehicle - A Kriging-based statistical approach.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Development and evaluation of two learning-based personalized driver models for car-following behaviors.
Proceedings of the 2017 American Control Conference, 2017

2016
Gap Acceptance During Lane Changes by Large-Truck Drivers - An Image-Based Analysis.
IEEE Trans. Intell. Transp. Syst., 2016

Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques.
CoRR, 2016

Enhancement of Low-cost GNSS Localization in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters.
CoRR, 2016

Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models.
CoRR, 2016

Enhancement of low-cost GNSS localization in connected vehicle networks using Rao-Blackwellized particle filters.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Cloud Consumer Oriented Utility Model Research in Cloud Computing.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Nanowelding through plasmonic enhanced photothermal effects.
Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2014
Plasmonic enhanced photothermal effects and its applications.
Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

2013
Nanostructured plasmonic devices and their applications.
Proceedings of the 6th IEEE International Conference on Advanced Infocomm Technology, 2013


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