Xianglei Zhu

Orcid: 0000-0002-1080-6126

According to our database1, Xianglei Zhu authored at least 22 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Verification and Validation of Intelligent Vehicles: Objectives and Efforts From China.
IEEE Trans. Intell. Veh., 2022

Research on the Physics-Intelligence Hybrid Theory Based Dynamic Scenario Library Generation for Automated Vehicles.
Sensors, 2022

Imbalanced driving scene recognition with class focal loss and data augmentation.
Int. J. Mach. Learn. Cybern., 2022

Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic.
IEEE CAA J. Autom. Sinica, 2022

A Data Annotation and Recognition Method Based on Zero Statistical Hypothesis Test and Multi Variable Binary Classification Theory.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

The Research on Current Automated Driving ODD Regulations, Standards and Applications.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

The Realization of Electronic Cylinder Control of Hydraulic Brake Test Bench Based on CANopen Communication.
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

Research on the Simulation Test Method of Autonomous Driving Vehicle Based on Cloud Platform.
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

2020
Combining sequence and network information to enhance protein-protein interaction prediction.
BMC Bioinform., 2020

Research on Automatic Generation Method of Scenario Based on Panosim.
Proceedings of the ICCDA 2020: The 4th International Conference on Compute and Data Analysis, 2020

Innovative Application Paths of Big Data of Automobile Based on Internet of Vehicles.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

2019
Attention-based recurrent neural network for influenza epidemic prediction.
BMC Bioinform., 2019

Using deep reinforcement learning to speed up collective cell migration.
BMC Bioinform., 2019

Analysis of Vehicle Network Architecture and Performance Optimization Based on Soft Definition of Integration of Cloud and Fog.
IEEE Access, 2019

Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Discriminative multi-task multi-view feature selection and fusion for multimedia analysis.
Multim. Tools Appl., 2018

Speeding up Collective Cell Migration Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Visual analysis of driving styles from vehicle experiment data.
Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

Joint Deep Learning and Gaussian Representation for Person Re-identification.
Proceedings of the Internet Multimedia Computing and Service, 2017

Initialized Frame Attention Networks for Video Question Answering.
Proceedings of the Internet Multimedia Computing and Service, 2017

A real-time ensemble classification algorithm for time series data.
Proceedings of the IEEE International Conference on Agents, 2017


  Loading...