Deep Semantic Network Representation. - Xuexiong Luo; Jia Wu 001; Chuan Zhou 001; Xiankun Zhang; Yuan Wang (ICDM, 2020)

A hierarchical network embedding method based on network partitioning. - Xiankun Zhang; Yunbin Ma; Xuexiong Luo; Junlong Kang (Int. J. Comput. Appl. Technol., 2021)

ComGA: Community-Aware Attributed Graph Anomaly Detection. - Xuexiong Luo; Jia Wu 001; Amin Beheshti; Jian Yang 001; Xiankun Zhang; Yuan Wang; Shan Xue 001 (WSDM, 2022)

Adaptive Capsule Network. - Jianwei Tao; Xiankun Zhang; Xuexiong Luo; Yuan Wang; Chen Song; Yue Sun (Comput. Vis. Image Underst., 2022)

Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. - Fu Lin; Xuexiong Luo; Jia Wu 001; Jian Yang 001; Shan Xue 001; Zitong Wang 003; Haonan Gong (ADMA (3), 2023)

Reinforcement Learning Guided Multi-Objective Exam Paper Generation. - Yuhu Shang; Xuexiong Luo; Lihong Wang; Hao Peng 001; Xiankun Zhang; Yimeng Ren 001; Kun Liang 002 (SDM, 2023)

Multi-representations Space Separation based Graph-level Anomaly-aware Detection. - Fu Lin; Haonan Gong; Mingkang Li 005; Zitong Wang 003; Yue Zhang; Xuexiong Luo (SSDBM, 2023)

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. - Guangwei Dong; Xuexiong Luo; Jing Du 003; Jia Wu 001; Shan Xue 001; Jian Yang 001; Amin Beheshti (ICDM, 2024)

Graph Neural Networks for Brain Graph Learning: A Survey. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Quan Z. Sheng; David McAlpine; Paul F. Sowman; Alexis Giral; Philip S. Yu (IJCAI, 2024)

Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning. - Zitong Wang 003; Xuexiong Luo; Enfeng Song; Qiuqing Bai; Fu Lin (SSDBM, 2024)

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. - Xuexiong Luo; Guangwei Dong; Jia Wu 001; Amin Beheshti; Jian Yang 001; Shan Xue 001 (WSDM, 2024)

Uncertainty graph convolution recurrent neural network for air quality forecasting. - Mei Dong; Yue Sun; Yutao Jin; Chen Song; Xiankun Zhang; Xuexiong Luo (Adv. Eng. Informatics, 2024)

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. - Xuexiong Luo; Sheng Zhang 006; Jia Wu 001; Hongyang Chen; Hao Peng 001; Chuan Zhou 001; Zhao Li 007; Shan Xue 001; Jian Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-view graph anomaly detection via subgraph anomaly augmentation. - Fu Lin; Yue Zhang; Xuexiong Luo; Mingkang Li 005; Zitong Wang 003; Enfeng Song (Neurocomputing, 2025)

Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Hongyang Chen; Zhao Li 007; Hao Peng 001; Chuan Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)