Enhancing Graph Neural Networks with Structure-Based Prompt. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Resist Label Noise with PGM for Graph Neural Networks. - Qingqing Ge; Jianxiang Yu 001; Zeyuan Zhao; Xiang Li 067 (CoRR, 2023)

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

LIOP: Tightly Coupled LiDAR-Inertial Odometry and Prior Information System for Long-term Localization. - Zeyuan Zhao; Jichao Jiao; Ning Li 015; Min Pang (IPIN, 2024)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (ECML/PKDD (5), 2024)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (ECML/PKDD (6), 2024)

LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration. - Jiayi Liu; Qianyu Zhang; Xue Wan; Shengyang Zhang; Yaolin Tian; Haodong Han; Yutao Zhao; Baichuan Liu; Zeyuan Zhao; Xubo Luo (CoRR, 2024)

Multisensors Time-Series Change Point Detection in Wireless Sensor Networks Based on Deep Evidential Fusion and Self-Distillation Learning. - Yubo Wang; Xiaolong Xu 002; Zeyuan Zhao; Fu Xiao 001 (IEEE Internet Things J., 2025)