Shan Xue

According to our database, Shan Xue authored at least 79 papers between 2011 and 2024.

Collaborative distances:

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

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

A Virtual Network Matching Method for Correcting Asymmetric Near-Field Probing System.

Wei-Heng Shao, Caixu Yu, Xinxin Tian, Zhanjun Huang, Wanqing Jing, Chengyang Luo, Litao Ruan, Yinghui Chen, Shan Xue, Duo-Long Wu

IEEE Trans. Instrum. Meas., 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

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

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.

Danyu Lin, Shan Xue, Derong Liu, Mingming Liang, Yonghua Wang

Neural Networks, October, 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 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

Hierarchical Decision Problems for Non-Affine Multi-Player Systems.

Danyu Lin, Shan Xue, Derong Liu, Bo Zhao

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 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

Event-Triggered Constrained H_∞ Control Using Concurrent Learning and ADP.

Shan Xue, Biao Luo, Derong Liu, Dongsheng Guo

Proceedings of the Neural Information Processing - 30th International Conference, 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

Data-Driven Control Performance Monitoring forIndustrial Processes Based on Transfer Learning and Neural Network.

Shan Xue, Linlin Li, Liang Qiao

Proceedings of the CAA Symposium on Fault Detection, 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

Tighter Robust Upper Bounds for Options via No-Regret Learning.

Shan Xue, Ye Du, Liang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Constrained Event-Triggered H_∞ Control Based on Adaptive Dynamic Programming With Concurrent Learning.

Shan Xue, Biao Luo, Derong Liu, Yin Yang

IEEE Trans. Syst. Man Cybern. Syst., 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

Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

IEEE Trans. Cybern., 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

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

Neural Networks, 2022

Adaptive critic designs for decentralised robust control of nonlinear interconnected systems via event-triggering mechanism.

Qiliang Luo, Shan Xue, Derong Liu

Int. J. Syst. Sci., 2022

Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

Neurocomputing, 2022

Single sample per person face recognition algorithm based on the robust prototype dictionary and robust variation dictionary construction.

Shan Xue, Hai-Peng Ren

IET Image Process., 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

Adaptive Dynamic Programming for Control: A Survey and Recent Advances.

Derong Liu, Shan Xue, Bo Zhao, Biao Luo, Qinglai Wei

IEEE Trans. Syst. Man Cybern. Syst., 2021

Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.

Shan Xue, Biao Luo, Derong Liu

IEEE Trans. Neural Networks Learn. Syst., 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

Integral reinforcement learning-based optimal output feedback control for linear continuous-time systems with input delay.

Gao Wang, Biao Luo, Shan Xue

Neurocomputing, 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

Research on denoising algorithm of thoracic impedance signal for respiratory monitoring during running exercise.

Hao Ge, Hui Qin, Shan Xue, Enkang Liu, Mingzhu Zhang, Zixuan Bai, Yixin Ma

Biomed. Signal Process. Control., 2021

The Importance of FEM model for Linearized EIT Image Reconstruction.

Mingzhu Zhang, Shan Xue, Hui Qin, Zhibin Kong, Yixin Ma

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 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

Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.

Shan Xue, Biao Luo, Derong Liu

IEEE Trans. Syst. Man Cybern. Syst., 2020

Integral reinforcement learning based event-triggered control with input saturation.

Shan Xue, Biao Luo, Derong Liu

Neural Networks, 2020

Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints.

Shan Xue, Biao Luo, Derong Liu, Yueheng Li

Neurocomputing, 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

A Novel Method for Extracting High-Quality RR Intervals from Noisy Single-Lead ECG Signals.

Shan Xue, Leirong Tian, Zhilin Gao, Xingran Cui

Proceedings of the Bio-inspired Information and Communication Technologies, 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

Low-resolution and open-set face recognition via recursive label propagation based on statistical classification.

Shan Xue, Hong Zhu

Int. J. Wavelets Multiresolution Inf. Process., 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

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game.

Shan Xue, Biao Luo, Derong Liu, Yueheng Li

Proceedings of the Neural Information Processing - 25th International Conference, 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

Object Tracking Based on Multi-modality Dictionary Learning.

Jing Wang, Hong Zhu, Shan Xue, Jing Shi

Proceedings of the Image and Graphics - 9th International Conference, 2017

2016

Modeling Vehicle Merging Behavior in Work Zone Merging Areas During the Merging Implementation Period.

Jinxian Weng, Shan Xue, Xuedong Yan

IEEE Trans. Intell. Transp. Syst., 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

An algorithm for headlights region detection in nighttime vehicles.

Shan Xue, Hong Zhu, Shunyuan Yu, Dong Wang, Bingyan Zhao

Proceedings of the IEEE International Conference on Information and Automation, 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

Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization.

Shan Xue, Alan Fern, Daniel Sheldon

J. Artif. Intell. Res., 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

Hindsight Optimization for Probabilistic Planning with Factored Actions.

Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Dynamic Resource Allocation for Optimizing Population Diffusion.

Shan Xue, Alan Fern, Daniel Sheldon

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012

Neuroadaptive Speed Assistance Control of Wind Turbine with Variable Ratio Gearbox (VRG).

Xue-fei Wang, Yong-Duan Song, Dan-Yong Li, Kai Zhang, Shan Xue, Ming Qin

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Scheduling Conservation Designs via Network Cascade Optimization.

Shan Xue, Alan Fern, Daniel Sheldon

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Modal analysis and optimization of novel external rotor radar stabilized platform.

Shan Xue, Guohua Cao, Qiongying Lv, Hongji Xu

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

Modal Analysis and Optimization of Some Internal Rotor Radar Stabilized Platform.

Shan Xue, Guohua Cao, YuLong Song

Proceedings of the Advances in Computer Science, 2011