Xinhu Zheng

Orcid: 0000-0002-9898-5543

According to our database1, Xinhu Zheng authored at least 31 papers between 2015 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-Time 3D Radiance Field Map Rendering.
IEEE Robotics Autom. Lett., November, 2024

Discrete correntropy-based multi-view anchor-graph clustering.
Inf. Fusion, March, 2024

Scale Propagation Network for Generalizable Depth Completion.
CoRR, 2024

Improving Anomalous Sound Detection via Low-Rank Adaptation Fine-Tuning of Pre-Trained Audio Models.
CoRR, 2024

Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments.
CoRR, 2024

GenFollower: Enhancing Car-Following Prediction with Large Language Models.
CoRR, 2024

EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems.
CoRR, 2024

Online Robot Navigation and and Manipulation with Distilled Vision-Language Models.
CoRR, 2024

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering.
CoRR, 2024

Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines.
IEEE Commun. Surv. Tutorials, 2024

Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Incremental Conflict-Based Search for Multi-agent Path Finding in Dynamic Environment.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

LFENav: LLM-Based Frontiers Exploration for Visual Semantic Navigation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Improving Acoustic Scene Classification via Self-Supervised and Semi-Supervised Learning with Efficient Audio Transformer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Semi-Supervised Acoustic Scene Classification with Test-Time Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Confidence Evaluation for Machine Learning Schemes in Vehicular Sensor Networks.
IEEE Trans. Wirel. Commun., April, 2023

DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Multi-risk Aware Trajectory Planning for Car-like Robot in Highly Dynamic Environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Multivehicle Multisensor Occupancy Grid Maps (MVMS-OGM) for Autonomous Driving.
IEEE Internet Things J., 2022

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning.
Neurocomputing, 2022

Supervised assisted deep reinforcement learning for emergency voltage control of power systems.
Neurocomputing, 2022

Real-time driving style classification based on short-term observations.
IET Commun., 2022

2021
Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2018
Capturing Car-Following Behaviors by Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2018

2017
Analysis of Cyber Interactive Behaviors Using Artificial Community and Computational Experiments.
IEEE Trans. Syst. Man Cybern. Syst., 2017

PDP: parallel dynamic programming.
IEEE CAA J. Autom. Sinica, 2017

Generative adversarial networks: introduction and outlook.
IEEE CAA J. Autom. Sinica, 2017

2016
Big Data for Social Transportation.
IEEE Trans. Intell. Transp. Syst., 2016

Crowdsourcing in ITS: The State of the Work and the Networking.
IEEE Trans. Intell. Transp. Syst., 2016

2015
Two Phase Based Spammer Detection in Weibo.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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