SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (ICONIP (1), 2015)

Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (ISKE, 2015)

Transfer learning using computational intelligence: A survey. - Jie Lu 001; Vahid Behbood; Peng Hao; Hua Zuo; Shan Xue 001; Guangquan Zhang 001 (Knowl. Based Syst., 2015)

Global Recursive Based Node Importance Evaluation. - Lu Zhao; Li Xiong 002; Shan Xue 001 (ADMA, 2016)

Multi-instance graphical transfer clustering for traffic data learning. - Shan Xue 001; Jie Lu 001; Jia Wu 001; Guangquan Zhang 001; Li Xiong 002 (IJCNN, 2016)

Node importance evaluation of world city networks: A survey. - Li Xiong 002; Lu Zhao; Shan Xue 001 (LISS, 2016)

A self-adaptive multi-view framework for multi-source information service in cloud ITS. - Shan Xue 001; Li Xiong 002; Shufen Yang; Lu Zhao (J. Ambient Intell. Humaniz. Comput., 2016)

An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2, 1}$ -Norm Regularization. - Zhonghua Liu; Shan Xue 001; Lin Zhang; Jiexin Pu; Haijun Wang (IEEE Access, 2017)

A Framework of Transferring Structures Across Large-scale Information Networks. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (IJCNN, 2018)

Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. - Yan Hong 005; Jing Li 055; Yafu Xiao; Wenfan Zhang; Chengfang Song; Shan Xue 001 (IJCNN, 2019)

Cross-domain network representations. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001 (Pattern Recognit., 2019)

Cross-domain learning for network representations - Shan Xue 001 (2019)

Deep Learning for Community Detection: Progress, Challenges and Opportunities. - Fanzhen Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Jian Yang 001; Philip S. Yu (IJCAI, 2020)

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. - Sanmin Liu; Shan Xue 001; Fanzhen Liu; Jieren Cheng; Xiulai Li; Chao Kong; Jia Wu 001 (Complex., 2020)

ForeXGBoost: passenger car sales prediction based on XGBoost. - Zhenchang Xia; Shan Xue 001; Libing Wu; Jiaxin Sun; Yanjiao Chen; Rui Zhang 083 (Distributed Parallel Databases, 2020)

SBNN: Slimming binarized neural network. - Qing Wu 008; Xiaojin Lu; Shan Xue 001; Chao Wang 037; Xundong Wu; Jin Fan (Neurocomputing, 2020)

Detecting the evolving community structure in dynamic social networks. - Fanzhen Liu; Jia Wu 001; Shan Xue 001; Chuan Zhou 001; Jian Yang 001; Quanzheng Sheng (World Wide Web, 2020)

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Amin Beheshti; Shan Xue 001; Chuan Zhou 001; Quan Z. Sheng (ICDM, 2021)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning. - Xiaoxiao Ma 002; Jia Wu 001; Shan Xue 001; Jian Yang 001; Quan Z. Sheng; Hui Xiong 001 (CoRR, 2021)

Deep Reinforcement Learning for Smart City Communication Networks. - Zhenchang Xia; Shan Xue 001; Jia Wu 001; Yanjiao Chen; Junjie Chen; Libing Wu (IEEE Trans. Ind. Informatics, 2021)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. - Naime Ranjbar Kermany; Luiz Pizzato; Jian Yang 001; Shan Xue 001; Jia Wu 001 (ICSOC, 2022)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 2022)

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)

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap. - Beihang Song; Jing Li 055; Shan Xue 001; Jun Chang; Jia Wu 001; Jun Wan 005; Tianpeng Liu (CoRR, 2022)

Graph-level Neural Networks: Current Progress and Future Directions. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Wenbin Hu 001; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu Aggarwal 001 (CoRR, 2022)

GARAT: Generative Adversarial Learning for Robust and Accurate Tracking. - Bowen Yao; Jing Li 055; Shan Xue 001; Jia Wu 001; Huanmei Guan; Jun Chang; Zhiquan Ding (Neural Networks, 2022)

A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments. - Danfeng Sun; Shan Xue 001; Huifeng Wu; Jia Wu 001 (IEEE Trans. Ind. Informatics, 2022)

Deep Multi-Attributed-View Graph Representation Learning. - Xiaoxiao Ma 002; Shan Xue 001; Jia Wu 001; Jian Yang 001; Cécile Paris; Surya Nepal; Quan Z. Sheng (IEEE Trans. Netw. Sci. Eng., 2022)

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV. - Rui Zhang 083; Libing Wu; Shuqin Cao; Xinrong Hu; Shan Xue 001; Dan Wu 006; Qingan Li (ACM Trans. Internet Techn., 2022)

eRiskCom: an e-commerce risky community detection platform. - Fanzhen Liu; Zhao Li 007; Baokun Wang; Jia Wu 001; Jian Yang 001; Jiaming Huang; Yiqing Zhang; Weiqiang Wang; Shan Xue 001; Surya Nepal; Quan Z. Sheng (VLDB J., 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)

Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. - Malik Khizar Hayat; Shan Xue 001; Jian Yang 001 (ICDM, 2023)

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. - Amin Beheshti; Jian Yang 001; Quan Z. Sheng; Boualem Benatallah; Fabio Casati; Schahram Dustdar; Hamid Reza Motahari-Nezhad; Xuyun Zhang; Shan Xue 001 (ICWS, 2023)

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Fan 003 (SSDBM, 2023)

Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. - Hongjiao Liu; Shan Xue 001; Jian Yang 001; Jia Wu 001 (WISE, 2023)

Minimum Entropy Principle Guided Graph Neural Networks. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Hao Peng 001; Angsheng Li; Shan Xue 001; Jianlin Su (WSDM, 2023)

A Comprehensive Survey of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu C. Aggarwal; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (CoRR, 2023)

Multi-Aspect enhanced Graph Neural Networks for recommendation. - Chenyan Zhang; Shan Xue 001; Jing Li 055; Jia Wu 001; Bo Du 001; Donghua Liu; Jun Chang (Neural Networks, 2023)

Online Active Learning for Drifting Data Streams. - Sanmin Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Zhao Li 007; Jie Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Attention deep residual networks for MR image analysis. - Mengqing Mei; Fazhi He; Shan Xue 001 (Neural Comput. Appl., 2023)

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. - Qi Wang 078; Weiliang Zhao; Jian Yang 001; Jia Wu 001; Shan Xue 001; Qianli Xing 002; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. - Qian Li 033; Jianxin Li 002; Lihong Wang; Cheng Ji 001; Yiming Hei; Jiawei Sheng; Qingyun Sun; Shan Xue 001; Pengtao Xie (ACM Trans. Web, 2023)

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. - Xiaoxiao Ma 002; Jia Wu 001; Shan Xue 001; Jian Yang 001; Chuan Zhou 001; Quan Z. Sheng; Hui Xiong 001; Leman Akoglu (IEEE Trans. Knowl. Data Eng., 2023)

BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. - Xin Cao; He Luo; Guoqiang Wang; Shan Xue 001; Jian Yang 001; Jia Wu 001; Amin Beheshti (ADMA (3), 2024)

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)

A Debiased Graph Clustering Approach Using Dual Contrastive Learning. - Kuang Gao; Mukun Chen; Chuang Liu 008; Shan Xue 001; Zhenyu Qiu; Ting Ren; Xiaohua Jia; Wenbin Hu 001 (ICWS, 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)

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. - Jing Du 003; Guangwei Dong; Congbo Ma; Shan Xue 001; Jia Wu 001; Jian Yang 001; Amin Beheshti; Quan Z. Sheng; Alexis Giral (MICCAI (10), 2024)

Time Distance Aware for Multi-component Graph Collaborative Filtering. - Tseesuren Batsuuri; Shan Xue 001; Jian Yang 001; Jia Wu 001 (WISE (PhD Symposium, Demos and Workshops), 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)

Learning To Sample the Meta-Paths for Social Event Detection. - Congbo Ma; Hu Wang 005; Zitai Qiu; Shan Xue 001; Jia Wu 001; Jian Yang 001; Preslav Nakov; Quan Z. Sheng (CoRR, 2024)

Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction. - Beihang Song; Jing Li 055; Jia Wu 001; Shan Xue 001; Jun Chang; Jun Wan 005 (Knowl. Based Syst., 2024)

A Comprehensive Survey on Community Detection With Deep Learning. - Xing Su 006; Shan Xue 001; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Di Jin 001; Quan Z. Sheng; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks. - Malik Khizar Hayat; Shan Xue 001; Jia Wu 001; Jian Yang 001 (IEEE Trans. Artif. Intell., 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)

Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. - Malik Khizar Hayat; Shan Xue 001; Jia Wu 001; Bilal Khan; Jian Yang 001 (WSDM, 2025)

A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. - Qihua Lyu; Xin Cao; Yongsheng Yu 001; Shan Xue 001; Jian Yang 001; Jia Wu 001; Amin Beheshti (WWW (Companion Volume), 2025)

Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling. - Congbo Ma; Zitai Qiu; Hu Wang 003; Jing Du 003; Shan Xue 001; Jia Wu 001; Jian Yang 001 (WWW (Companion Volume), 2025)

Contrastive Multi-Knowledge Graph Learning for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Shan Xue 001; Jian Yang 001; Jia Wu 001; Hao Fan 003 (IEEE Trans. Netw. Sci. Eng., 2025)

State of the Art and Potentialities of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu Aggarwal 001; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (ACM Comput. Surv., 2025)

Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification. - Malik Khizar Hayat; Shan Xue 001; Jian Yang 001 (Knowl. Inf. Syst., 2025)

Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. - Xiaoxiao Ma 002; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Shan Xue 001; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2025)

Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Shan Xue 001; Amin Beheshti; Jian Yang 001; Hao Fan 003; Jia Wu 001 (IEEE Trans. Comput. Soc. Syst., 2025)