MAAN: A Multiple Attribute Association Network for Mobile Encrypted Traffic Classification. - Fengzhao Shi; Chao Zheng 001; Yiming Cui; Qingyun Liu 001 (SecureComm (1), 2020)

Task-level Relations Modelling for Graph Meta-learning. - Yuchen Zhou; Yanan Cao 001; Yanmin Shang; Chuan Zhou 001; Chuancheng Song; Fengzhao Shi; Qian Li 003 (ICDM, 2022)

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. - Fengzhao Shi; Yanan Cao 001; Yanmin Shang; Yuchen Zhou; Chuan Zhou 001; Jia Wu 001 (WWW, 2022)

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. - Fengzhao Shi; Ren Li; Yanan Cao 001; Yanmin Shang; Lanxue Zhang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (CoRR, 2022)

Broaden Your Horizons: Inter-news Relation Mining for Fake News Detection. - Lei Zhang; Hongbo Xu; Fengzhao Shi; Chaoyang Yan; Yongxiu Xu (DASFAA (4), 2023)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou 001; Lixin Zou; Xiangyu Zhao 001; Dawei Yin; Shirui Pan; Yanan Cao 001 (ICML, 2024)

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. - Fengzhao Shi; Yanan Cao 001; Ren Li; Xixun Lin; Yanmin Shang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (World Wide Web (WWW), 2024)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin (Neural Networks, 2025)

A data-centric framework of improving graph neural networks for knowledge graph embedding. - Yanan Cao 001; Xixun Lin; Yongxuan Wu; Fengzhao Shi; Yanmin Shang; Qingfeng Tan; Chuan Zhou 001; Peng Zhang 001 (World Wide Web (WWW), 2025)