NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (25)

cs.CL2018

Streaming End-to-end Speech Recognition For Mobile Devices

Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar +17

cs.RO2018

An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets

Mansur Arief, Peter Glynn, Ding Zhao

cs.LG2017

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

Wenshuo Wang, Chang Liu, Ding Zhao

cs.CV2018

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives

Jiacheng Zhu, Wenshuo Wang, Ding Zhao

stat.ME2019

Evaluation Uncertainty in Data-Driven Self-Driving Testing

Zhiyuan Huang, Mansur Arief, Henry Lam +1

stat.AP2018

Synthesis of Different Autonomous Vehicles Test Approaches

Zhiyuan Huang, Mansur Arief, Henry Lam +1

cs.RO2018

An Optimal LiDAR Configuration Approach for Self-Driving Cars

Shenyu Mou, Yan Chang, Wenshuo Wang +1

physics.optics2018

Dynamic control of anapole states with phase-change alloys

Jingyi Tian, Hao Luo, Yuanqing Yang +4

cs.RO2016

Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques

Ding Zhao, Henry Lam, Huei Peng +4

cs.LG2018

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning

Sisi Li, Wenshuo Wang, Zhaobin Mo +1

cs.CV2017

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches

Wenshuo Wang, Junqiang Xi, Ding Zhao

physics.optics2017

Edge states in self-complementary checkerboard photonic crystals: Zak phase, surface impedance and experimental verification

Xiao-Dong Chen, Ding Zhao, Xiao-Sheng Zhu +5

cs.HC2017

From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing

Ding Zhao, Huei Peng

cs.CV2019

A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters

Wenhao Ding, Wenshuo Wang, Ding Zhao

cs.RO2018

An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles

Rui Chen, Mansur Arief, Ding Zhao

cs.OH2017

Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers

Ding Zhao, Xianan Huang, Huei Peng +2

eess.AS2018

Deep context: end-to-end contextual speech recognition

Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar +2

cs.CV2018

Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications

Wenshuo Wang, Ding Zhao

cs.LG2018

Extraction of V2V Encountering Scenarios from Naturalistic Driving Database

Zhaobin Mo, Sisi Li, Diange Yang +1

cs.OH2018

Energy Efficiency and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Data

Yan Chang, Weiqing Yang, Ding Zhao

physics.optics2016

Mode Modification of Plasmonic Gap Resonances induced by Strong Coupling with Molecular Excitons

Xingxing Chen, Yu-Hui Chen, Jian Qin +4

cs.LG2017

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods

Zhiyuan Huang, Yaohui Guo, Henry Lam +1

cs.LG2018

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios

Wenshuo Wang, Junqiang Xi, Ding Zhao

cs.LG2018

Understanding V2V Driving Scenarios through Traffic Primitives

Wenshuo Wang, Weiyang Zhang, Ding Zhao

cs.CY2017

TrafficNet: An Open Naturalistic Driving Scenario Library

Ding Zhao, Yaohui Guo, Yunhan Jack Jia