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ORCIDShan Xue 0001
Person information
- affiliation: Macquarie University, Sydney, NSW, Australia
Other persons with the same name
- Shan Xue — disambiguation page
- Shan Xue 0002
![[0000-0001-7071-4058]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7071-4058")
— Xi'an Aeronautical University, Xi'an, China - Shan Xue 0003 — Guangdong University of Technology, Guangzhou, China
- Shan Xue 0004 — Hainan University, Haikou, China (and 1 more)
- Shan Xue 0005 — University of Waterloo, Waterloo, ON, Canada
- Shan Xue 0006 — Xi'an Jiaotong University, Xi'an, China
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2020 – today
- 2024
[j22]Beihang Song, Jing Li, Jia Wu, Shan Xue, Jun Chang, Jun Wan:
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction. Knowl. Based Syst. 295: 111815 (2024)- [j21]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:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [c23]Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu:
A Debiased Graph Clustering Approach Using Dual Contrastive Learning. ICWS 2024: 1198-1205 - [c22]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178 - [c21]Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral:
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. MICCAI (10) 2024: 229-239 - [c20]Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. WSDM 2024: 1074-1077 - [i13]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024) - 2023
- [j20]Mengqing Mei, Fazhi He, Shan Xue:
Attention deep residual networks for MR image analysis. Neural Comput. Appl. 35(18): 12957-12966 (2023) - [j19]Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang:
Multi-Aspect enhanced Graph Neural Networks for recommendation. Neural Networks 157: 90-102 (2023) - [j18]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu:
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12012-12038 (2023) - [j17]Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - [j16]Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu:
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2767-2780 (2023) - [j15]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17(3): 20:1-20:26 (2023) - [c19]Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong:
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. ADMA (3) 2023: 261-276 - [c18]Malik Khizar Hayat, Shan Xue, Jian Yang:
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. ICDM 2023: 140-149 - [c17]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. ICWS 2023: 731-739 - [c16]Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan:
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. SSDBM 2023: 15:1-15:11 - [c15]Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu:
Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. WISE 2023: 160-175 - [c14]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su:
Minimum Entropy Principle Guided Graph Neural Networks. WSDM 2023: 114-122 - [i12]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:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i11]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. CoRR abs/2306.01771 (2023) - [i10]Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong:
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model. CoRR abs/2308.01947 (2023) - 2022
- [j14]Bowen Yao, Jing Li, Shan Xue, Jia Wu, Huanmei Guan, Jun Chang, Zhiquan Ding:
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking. Neural Networks 148: 206-218 (2022) - [j13]Danfeng Sun, Shan Xue, Huifeng Wu, Jia Wu:
A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments. IEEE Trans. Ind. Informatics 18(2): 1165-1174 (2022) - [j12]Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng:
Deep Multi-Attributed-View Graph Representation Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3762-3774 (2022) - [j11]Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li:
Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV. ACM Trans. Internet Techn. 22(2): 51:1-51:24 (2022) - [j10]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [c13]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268 - [c12]Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu:
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. ICSOC 2022: 331-339 - [c11]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [c10]Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue:
ComGA: Community-Aware Attributed Graph Anomaly Detection. WSDM 2022: 657-665 - [i9]Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu:
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap. CoRR abs/2202.06565 (2022) - [i8]Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal:
Graph-level Neural Networks: Current Progress and Future Directions. CoRR abs/2205.15555 (2022) - [i7]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR abs/2210.09766 (2022) - [i6]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022) - 2021
- [j9]Zhenchang Xia, Shan Xue, Jia Wu, Yanjiao Chen, Junjie Chen, Libing Wu:
Deep Reinforcement Learning for Smart City Communication Networks. IEEE Trans. Ind. Informatics 17(6): 4188-4196 (2021) - [c9]Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876 - [i5]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:
A Comprehensive Survey on Community Detection with Deep Learning. CoRR abs/2105.12584 (2021) - [i4]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong:
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning. CoRR abs/2106.07178 (2021) - 2020
- [j8]Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu:
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. Complex. 2020: 6147378:1-6147378:12 (2020) - [j7]Zhenchang Xia, Shan Xue, Libing Wu, Jiaxin Sun, Yanjiao Chen, Rui Zhang:
ForeXGBoost: passenger car sales prediction based on XGBoost. Distributed Parallel Databases 38(3): 713-738 (2020) - [j6]Qing Wu, Xiaojin Lu, Shan Xue, Chao Wang, Xundong Wu, Jin Fan:
SBNN: Slimming binarized neural network. Neurocomputing 401: 113-122 (2020) - [j5]Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng:
Detecting the evolving community structure in dynamic social networks. World Wide Web 23(2): 715-733 (2020) - [c8]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI 2020: 4981-4987 - [i3]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR abs/2005.08225 (2020)
2010 – 2019
- 2019
- [b1]Shan Xue:
Cross-domain learning for network representations. University of Technology Sydney, Australia, 2019 - [j4]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain network representations. Pattern Recognit. 94: 135-148 (2019) - [c7]Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue:
Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. IJCNN 2019: 1-8 - [i2]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain Network Representations. CoRR abs/1908.00205 (2019) - [i1]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. CoRR abs/1911.04665 (2019) - 2018
- [c6]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. IJCNN 2018: 1-6 - 2017
- [j3]Zhonghua Liu, Shan Xue, Lin Zhang, Jiexin Pu, Haijun Wang:
An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2, 1}$ -Norm Regularization. IEEE Access 5: 14133-14140 (2017) - 2016
- [j2]Shan Xue, Li Xiong, Shufen Yang, Lu Zhao:
A self-adaptive multi-view framework for multi-source information service in cloud ITS. J. Ambient Intell. Humaniz. Comput. 7(2): 205-220 (2016) - [c5]Lu Zhao, Li Xiong, Shan Xue:
Global Recursive Based Node Importance Evaluation. ADMA 2016: 738-750 - [c4]Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong:
Multi-instance graphical transfer clustering for traffic data learning. IJCNN 2016: 4390-4395 - [c3]Li Xiong, Lu Zhao, Shan Xue:
Node importance evaluation of world city networks: A survey. LISS 2016: 1-6 - 2015
- [j1]Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang:
Transfer learning using computational intelligence: A survey. Knowl. Based Syst. 80: 14-23 (2015) - [c2]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. ICONIP (1) 2015: 283-292 - [c1]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. ISKE 2015: 46-51
Coauthor Index
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