Telecom Fraud Detection via Imbalanced Graph Learning. - Xinxin Hu; Haotian Chen 003; Hongchang Chen; Shibo Zhang; Shuxin Liu; Xing Li (ICCT, 2022)

Mining Mobile Network Fraudsters with Augmented Graph Neural Networks. - Xinxin Hu; Haotian Chen 003; Hongchang Chen; Xing Li; Junjie Zhang; Shuxin Liu (Entropy, 2023)

Cost-Sensitive GNN-Based Imbalanced Learning for Mobile Social Network Fraud Detection. - Xinxin Hu; Haotian Chen 003; Hongchang Chen; Shuxin Liu; Xing Li; Shibo Zhang; Yahui Wang; Xiangyang Xue 001 (IEEE Trans. Comput. Soc. Syst., 2024)

GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection. - Xinxin Hu; Haotian Chen 003; Junjie Zhang; Hongchang Chen; Shuxin Liu; Xing Li; Yahui Wang; Xiangyang Xue 001 (IEEE Trans. Big Data, 2024)

Global Semantic-Guided Sub-image Feature Weight Allocation in High-Resolution Large Vision-Language Models. - Yuxuan Liang; Xu Li 016; Xiaolei Chen 002; Haotian Chen 003; Yi Zheng 003; Chenghang Lai; Bin Li 015; Xiangyang Xue 001 (CoRR, 2025)

Instruction-guided fusion of multi-layer visual features in Large Vision-Language Models. - Xu Li 016; Yi Zheng 003; Haotian Chen 003; Xiaolei Chen 002; Yuxuan Liang; Chenghang Lai; Bin Li 015; Xiangyang Xue 001 (Pattern Recognit., 2026)