Zeyuan Zhao

Orcid: 0009-0001-6411-5662

According to our database1, Zeyuan Zhao authored at least 13 papers between 2023 and 2026.

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

2026
Interpretable machine learning for early prediction of sepsis-induced coagulopathy: a multicenter retrospective development and validation study.
BMC Medical Informatics Decis. Mak., December, 2026

SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation.
CoRR, March, 2026

2025
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse.
CoRR, September, 2025

Learning to Reason in Structured In-context Environments with Reinforcement Learning.
CoRR, September, 2025

Multisensors Time-Series Change Point Detection in Wireless Sensor Networks Based on Deep Evidential Fusion and Self-Distillation Learning.
IEEE Internet Things J., 2025

Privacy-First Triage Classification with Open-Weight LLMs: A Chain-of-Thought Distillation Approach.
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration.
CoRR, 2024

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

LIOP: Tightly Coupled LiDAR-Inertial Odometry and Prior Information System for Long-term Localization.
Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024

2023
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.
CoRR, 2023

Resist Label Noise with PGM for Graph Neural Networks.
CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR, 2023


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