Chenyang Zhao

Orcid: 0009-0003-5437-4593

Affiliations:
  • Nankai University, College of Artificial Intelligence, Tianjin, China


According to our database1, Chenyang Zhao authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PipeMamba: State Space Model for Efficient Video-Based Sewer Defect Classification.
IEEE Trans. Artif. Intell., March, 2026

PipeCLIP: Defect-Conditioned and Cross-Focus-Driven Vision-Language Model for Video-Based Sewer Defect Inspection.
IEEE Trans Autom. Sci. Eng., 2026

FPC-VLA: A vision-language-action framework with a supervisor for failure prediction and correction.
Expert Syst. Appl., 2026

2025
RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting.
IEEE Robotics Autom. Lett., May, 2025

Trusted Video-Based Sewer Inspection via Support Clip-Based Pareto-Optimal Evidential Network.
IEEE Signal Process. Lett., 2025

T-DRL: Topology-Based Deep Reinforcement Learning for Robot Crowd Navigation Using Attention.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

FGI-Gaze: Gaze Target Detection via Filtered Human-Environment Gaze Interaction.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024
TMFF: Trustworthy Multi-Focus Fusion Framework for Multi-Label Sewer Defect Classification in Sewer Inspection Videos.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Path Planning for Amphibious Robots with Energy Constrained.
Proceedings of the 8th International Conference on Robotics, Control and Automation, 2024

2023
Analysis of Airframe Parameters of OAT-bicopter to Optimize Pitch Stability.
Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023

Energy Constrained Multi-Agent Reinforcement Learning for Coverage Path Planning.
IROS, 2023

Towards Trustworthy Multi-Label Sewer Defect Classification via Evidential Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023


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