Xiaochang Hu

Orcid: 0000-0001-9938-622X

According to our database1, Xiaochang Hu authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning.
IEEE Trans. Artif. Intell., January, 2024

MSFE-YOLO: An Improved YOLOv8 Network for Object Detection on Drone View.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments.
CoRR, 2023

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs.
CoRR, 2023

2022
ECC-BERT: Classification of error correcting codes using the improved bidirectional encoder representation from transformers.
IET Commun., 2022

2021
LiDAR Data Enrichment by Fusing Spatial and Temporal Adjacent Frames.
Remote. Sens., 2021

Robust semi-supervised classification based on data augmented online ELMs with deep features.
Knowl. Based Syst., 2021

LiDAR-based robust localization for field autonomous vehicles in off-road environments.
J. Field Robotics, 2021

RRCF: an abnormal pulse diagnosis factor for road abnormal hotspots detection.
J. Ambient Intell. Humaniz. Comput., 2021

Recognition of error correcting codes based on CNN with block mechanism and embedding.
Digit. Signal Process., 2021

2018
Evaluate Good Bus Driving Behavior with LSTM.
Proceedings of the Internet of Vehicles. Technologies and Services Towards Smart City, 2018

2017
A new method based on PCA contribution factors for road hotspot cause analysis.
Proceedings of the 2017 IEEE SmartWorld, 2017

2016
Abnormal hotspots detection method based on region real-time congestion factor.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016


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