Shan Xue

79 papers A* 10A 7B 5C 1Misc 1Journal 45Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection.
WWW
Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu
2026 A* conf
PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection.
WWW
Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu
2026 A* conf
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
WWW
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2025 — conf
A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments.
WWW (Companion Volume)
Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti
2025 J jnl
A Unified Hypergraph Framework for Inter and Intra-Session Dynamics in Session-Based Social Recommendations.
IEEE Trans. Big Data
Bilal Khan, Jia Wu, Jian Yang, Malik Khizar Hayat, Shan Xue
2025 J jnl
Contrastive Multi-Knowledge Graph Learning for Fake News Detection.
IEEE Trans. Netw. Sci. Eng.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Jian Yang, Jia Wu, Hao Fan
2025 J jnl
Dynamic Hypergraph for Cross-Domain Session-Based Social Recommendations.
IEEE Trans. Comput. Soc. Syst.
Bilal Khan, Jia Wu, Jian Yang, Shan Xue, Malik Khizar Hayat
2025 — conf
Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling.
WWW (Companion Volume)
Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang
2025 — conf
Global Interpretable Graph-level Anomaly Detection via Prototype.
KDD (2)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng
2025 J jnl
Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Comput. Soc. Syst.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Amin Beheshti, Jian Yang, Hao Fan, Jia Wu
2025 J jnl
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng
2025 A conf
Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.
WSDM
Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang
2025 J jnl
Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification.
Knowl. Inf. Syst.
Malik Khizar Hayat, Shan Xue, Jian Yang
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
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
2024 J jnl
A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst.
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
2024 A conf
A Debiased Graph Clustering Approach Using Dual Contrastive Learning.
ICWS
Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu
2024 A conf
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.
WSDM
Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue
2024 — conf
BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations.
ADMA (3)
Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti
2024 A* conf
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis.
ICDM
Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti
2024 — conf
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
MICCAI (10)
Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral
2024 A* conf
Graph Neural Networks for Brain Graph Learning: A Survey.
IJCAI
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024 J jnl
Graph Neural Networks for Brain Graph Learning: A Survey.
CoRR
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024 J jnl
Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks.
IEEE Trans. Artif. Intell.
Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang
2024 J jnl
Learning To Sample the Meta-Paths for Social Event Detection.
CoRR
Congbo Ma, Hu Wang, Zitai Qiu, Shan Xue, Jia Wu, Jian Yang, Preslav Nakov, Quan Z. Sheng
2024 J jnl
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang
2024 J jnl
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction.
Knowl. Based Syst.
Beihang Song, Jing Li, Jia Wu, Shan Xue, Jun Chang, Jun Wan
2024 — conf
Time Distance Aware for Multi-component Graph Collaborative Filtering.
WISE (PhD Symposium, Demos and Workshops)
Tseesuren Batsuuri, Shan Xue, Jian Yang, Jia Wu
2023 J jnl
A Comprehensive Survey of Graph-level Learning.
CoRR
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
2023 J jnl
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
2023 J jnl
Attention deep residual networks for MR image analysis.
Neural Comput. Appl.
Mengqing Mei, Fazhi He, Shan Xue
2023 J jnl
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.
IEEE Trans. Neural Networks Learn. Syst.
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu
2023 — conf
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model.
ADMA (3)
Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
2023 J jnl
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model.
CoRR
Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
2023 B conf
Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning.
WISE
Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu
2023 B conf
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
SSDBM
Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan
2023 A conf
Minimum Entropy Principle Guided Graph Neural Networks.
WSDM
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
2023 J jnl
Multi-Aspect enhanced Graph Neural Networks for recommendation.
Neural Networks
Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang
2023 J jnl
Online Active Learning for Drifting Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao
2023 A conf
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence.
ICWS
Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue
2023 J jnl
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence.
CoRR
Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue
2023 A* conf
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification.
ICDM
Malik Khizar Hayat, Shan Xue, Jian Yang
2023 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
ACM Trans. Web
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2022 J jnl
A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments.
IEEE Trans. Ind. Informatics
Danfeng Sun, Shan Xue, Huifeng Wu, Jia Wu
2022 A conf
ComGA: Community-Aware Attributed Graph Anomaly Detection.
WSDM
Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue
2022 A* conf
DAGAD: Data Augmentation for Graph Anomaly Detection.
ICDM
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DAGAD: Data Augmentation for Graph Anomaly Detection.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
Deep Multi-Attributed-View Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng.
Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng
2022 A* conf
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
NeurIPS
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022 J jnl
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.
Neural Networks
Bowen Yao, Jing Li, Shan Xue, Jia Wu, Huanmei Guan, Jun Chang, Zhiquan Ding
2022 J jnl
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022 A conf
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System.
ICSOC
Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu
2022 J jnl
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.
CoRR
Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu
2022 J jnl
Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.
ACM Trans. Internet Techn.
Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li
2022 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
CoRR
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2022 J jnl
eRiskCom: an e-commerce risky community detection platform.
VLDB J.
Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng
2021 J jnl
A Comprehensive Survey on Community Detection with Deep Learning.
CoRR
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
2021 J jnl
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong
2021 J jnl
Deep Reinforcement Learning for Smart City Communication Networks.
IEEE Trans. Ind. Informatics
Zhenchang Xia, Shan Xue, Jia Wu, Yanjiao Chen, Junjie Chen, Libing Wu
2021 A* conf
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
ICDM
Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng
2020 A* conf
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
IJCAI
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 J jnl
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
CoRR
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 J jnl
Detecting the evolving community structure in dynamic social networks.
World Wide Web
Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng
2020 J jnl
ForeXGBoost: passenger car sales prediction based on XGBoost.
Distributed Parallel Databases
Zhenchang Xia, Shan Xue, Libing Wu, Jiaxin Sun, Yanjiao Chen, Rui Zhang
2020 J jnl
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.
Complex.
Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu
2020 J jnl
SBNN: Slimming binarized neural network.
Neurocomputing
Qing Wu, Xiaojin Lu, Shan Xue, Chao Wang, Xundong Wu, Jin Fan
2019 J jnl
A Framework of Transferring Structures Across Large-scale Information Networks.
CoRR
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2019 B conf
Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance.
IJCNN
Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue
2019 J jnl
Cross-domain Network Representations.
CoRR
Shan Xue, Jie Lu, Guangquan Zhang
2019 — —
Cross-domain learning for network representations
Shan Xue
2019 J jnl
Cross-domain network representations.
Pattern Recognit.
Shan Xue, Jie Lu, Guangquan Zhang
2018 B conf
A Framework of Transferring Structures Across Large-scale Information Networks.
IJCNN
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2017 J jnl
An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2, 1}$ -Norm Regularization.
IEEE Access
Zhonghua Liu, Shan Xue, Lin Zhang, Jiexin Pu, Haijun Wang
2016 J jnl
A self-adaptive multi-view framework for multi-source information service in cloud ITS.
J. Ambient Intell. Humaniz. Comput.
Shan Xue, Li Xiong, Shufen Yang, Lu Zhao
2016 C conf
Global Recursive Based Node Importance Evaluation.
ADMA
Lu Zhao, Li Xiong, Shan Xue
2016 B conf
Multi-instance graphical transfer clustering for traffic data learning.
IJCNN
Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong
2016 — conf
Node importance evaluation of world city networks: A survey.
LISS
Li Xiong, Lu Zhao, Shan Xue
2015 Misc conf
Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning.
ISKE
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2015 — conf
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification.
ICONIP (1)
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2015 J jnl
Transfer learning using computational intelligence: A survey.
Knowl. Based Syst.
Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang