Shan Xue

According to our database, Shan Xue authored at least 53 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

State of the Art and Potentialities of Graph-level Learning.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò

ACM Comput. Surv., February, 2025

2024

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning.

Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang

IEEE Trans. Knowl. Data Eng., December, 2024

Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks.

Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang

IEEE Trans. Artif. Intell., November, 2024

A Comprehensive Survey on Community Detection With Deep Learning.

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction.

Beihang Song, Jing Li, Jia Wu, Shan Xue, Jun Chang, Jun Wan

Knowl. Based Syst., 2024

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.

Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.

Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Graph Neural Networks for Brain Graph Learning: A Survey.

Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Debiased Graph Clustering Approach Using Dual Contrastive Learning.

Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu

Proceedings of the IEEE International Conference on Web Services, 2024

2023

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.

Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu

IEEE Trans. Knowl. Data Eng., December, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie

ACM Trans. Web, August, 2023

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.

Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Attention deep residual networks for MR image analysis.

Mengqing Mei, Fazhi He, Shan Xue

Neural Comput. Appl., June, 2023

Online Active Learning for Drifting Data Streams.

Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao

IEEE Trans. Neural Networks Learn. Syst., 2023

Multi-Aspect enhanced Graph Neural Networks for recommendation.

Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang

Neural Networks, 2023

A Comprehensive Survey of Graph-level Learning.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò

CoRR, 2023

Minimum Entropy Principle Guided Graph Neural Networks.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning.

Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.

Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence.

Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue

Proceedings of the IEEE International Conference on Web Services, 2023

Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification.

Malik Khizar Hayat, Shan Xue, Jian Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model.

Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

eRiskCom: an e-commerce risky community detection platform.

Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng

VLDB J., 2022

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.

Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li

ACM Trans. Internet Techn., 2022

Deep Multi-Attributed-View Graph Representation Learning.

Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng

IEEE Trans. Netw. Sci. Eng., 2022

A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments.

Danfeng Sun, Shan Xue, Huifeng Wu, Jia Wu

IEEE Trans. Ind. Informatics, 2022

GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.

Bowen Yao, Jing Li, Shan Xue, Jia Wu, Huanmei Guan, Jun Chang, Zhiquan Ding

Neural Networks, 2022

Graph-level Neural Networks: Current Progress and Future Directions.

Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal

CoRR, 2022

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.

Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu

CoRR, 2022

ComGA: Community-Aware Attributed Graph Anomaly Detection.

Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System.

Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.

Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Deep Reinforcement Learning for Smart City Communication Networks.

Zhenchang Xia, Shan Xue, Jia Wu, Yanjiao Chen, Junjie Chen, Libing Wu

IEEE Trans. Ind. Informatics, 2021

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.

Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong

CoRR, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.

Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Detecting the evolving community structure in dynamic social networks.

Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng

World Wide Web, 2020

SBNN: Slimming binarized neural network.

Qing Wu, Xiaojin Lu, Shan Xue, Chao Wang, Xundong Wu, Jin Fan

Neurocomputing, 2020

ForeXGBoost: passenger car sales prediction based on XGBoost.

Zhenchang Xia, Shan Xue, Libing Wu, Jiaxin Sun, Yanjiao Chen, Rui Zhang

Distributed Parallel Databases, 2020

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.

Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu

Complex., 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.

Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Cross-domain learning for network representations

Shan Xue

PhD thesis, 2019

Cross-domain network representations.

Shan Xue, Jie Lu, Guangquan Zhang

Pattern Recognit., 2019

Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance.

Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Framework of Transferring Structures Across Large-scale Information Networks.

Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2, 1}$ -Norm Regularization.

Zhonghua Liu, Shan Xue, Lin Zhang, Jiexin Pu, Haijun Wang

IEEE Access, 2017

2016

A self-adaptive multi-view framework for multi-source information service in cloud ITS.

Shan Xue, Li Xiong, Shufen Yang, Lu Zhao

J. Ambient Intell. Humaniz. Comput., 2016

Node importance evaluation of world city networks: A survey.

Li Xiong, Lu Zhao, Shan Xue

Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

Multi-instance graphical transfer clustering for traffic data learning.

Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Global Recursive Based Node Importance Evaluation.

Lu Zhao, Li Xiong, Shan Xue

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Transfer learning using computational intelligence: A survey.

Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang

Knowl. Based Syst., 2015

Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning.

Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

SEIR Immune Strategy for Instance Weighted Naive Bayes Classification.

Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong

Proceedings of the Neural Information Processing - 22nd International Conference, 2015