Zeyuan Zhao

12 papers C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation.
CoRR
Aodi Wu, Jianhong Zuo, Zeyuan Zhao, Xubo Luo, Ruisuo Wang, Xue Wan
2025 J jnl
Learning to Reason in Structured In-context Environments with Reinforcement Learning.
CoRR
Peng Yu, Zeyuan Zhao, Shao Zhang, Luoyi Fu, Xinbing Wang, Ying Wen
2025 J jnl
Multisensors Time-Series Change Point Detection in Wireless Sensor Networks Based on Deep Evidential Fusion and Self-Distillation Learning.
IEEE Internet Things J.
Yubo Wang, Xiaolong Xu, Zeyuan Zhao, Fu Xiao
2025 — conf
Privacy-First Triage Classification with Open-Weight LLMs: A Chain-of-Thought Distillation Approach.
ICDM (Workshops)
Zeyuan Zhao, Yexiao He, Ang Li
2025 J jnl
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse.
CoRR
Zeyuan Zhao, Chaoran Li, Shao Zhang, Ying Wen
2024 — conf
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.
ECML/PKDD (6)
Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024 C conf
LIOP: Tightly Coupled LiDAR-Inertial Odometry and Prior Information System for Long-term Localization.
IPIN
Zeyuan Zhao, Jichao Jiao, Ning Li, Min Pang
2024 J jnl
LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration.
CoRR
Jiayi Liu, Qianyu Zhang, Xue Wan, Shengyang Zhang, Yaolin Tian, Haodong Han, Yutao Zhao, Baichuan Liu, Zeyuan Zhao, Xubo Luo
2024 — conf
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
ECML/PKDD (5)
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2023 J jnl
Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2023 J jnl
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.
CoRR
Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2023 J jnl
Resist Label Noise with PGM for Graph Neural Networks.
CoRR
Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li