Binyu Zhao

Orcid: 0000-0002-9564-6757

Affiliations:
  • Harbin Institute of Technology, Harbin, China


According to our database1, Binyu Zhao authored at least 11 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration.
CoRR, February, 2026

MCE: Towards a general framework for handling missing modalities under imbalanced missing rates.
Pattern Recognit., 2026

Facilitating heterogeneous sensor information cooperation in multi-agent perception system.
Inf. Sci., 2026

2025
ExGAT: Build Explicit Dependencies for Incomplete Multi-Modal Learning via Graph Attention Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Towards More Robust Perceptual Information Collaboration for Multi-agent Decision-Making Systems in Presence of Mixed Real-World Factors.
Proceedings of the Web Information Systems and Applications, 2025

2024
Distance-Aware Attentive Framework for Multi-Agent Collaborative Perception in Presence of Pose Error.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Towards Smaller and Stronger: An Edge-Aware Lightweight Segmentation Approach for Unmanned Surface Vehicles in Water Scenarios.
Sensors, 2023

BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities.
Proceedings of the Conference on Robot Learning, 2023

2021
Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring.
Proceedings of the International Joint Conference on Neural Networks, 2021

Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Unsupervised Reused Convolutional Network for Metal Artifact Reduction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020


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