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2020 – today
- 2024
[j3]Mei Dong, Yue Sun
, Yutao Jin, Chen Song, Xiankun Zhang, Xuexiong Luo:
Uncertainty graph convolution recurrent neural network for air quality forecasting. Adv. Eng. Informatics 62: 102651 (2024)- [c8]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 - [c7]Zitong Wang, Xuexiong Luo, Enfeng Song, Qiuqing Bai, Fu Lin:
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning. SSDBM 2024: 5:1-5:12 - [c6]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 - [i5]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) - [i4]Zitong Wang, Xuexiong Luo, Enfeng Song, Qiuqing Bai, Fu Lin:
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning. CoRR abs/2407.11082 (2024) - 2023
- [c5]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 - [c4]Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. SDM 2023: 829-837 - [c3]Fu Lin, Haonan Gong, Mingkang Li, Zitong Wang, Yue Zhang, Xuexiong Luo:
Multi-representations Space Separation based Graph-level Anomaly-aware Detection. SSDBM 2023: 10:1-10:11 - [i3]Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. CoRR abs/2303.01042 (2023) - [i2]Fu Lin, Haonan Gong, Mingkang Li, Zitong Wang, Yue Zhang, Xuexiong Luo:
Multi-representations Space Separation based Graph-level Anomaly-aware Detection. CoRR abs/2307.12994 (2023) - [i1]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
- [j2]Jianwei Tao, Xiankun Zhang, Xuexiong Luo, Yuan Wang, Chen Song, Yue Sun:
Adaptive Capsule Network. Comput. Vis. Image Underst. 218: 103405 (2022) - [c2]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 - 2021
- [j1]Xiankun Zhang, Yunbin Ma, Xuexiong Luo, Junlong Kang:
A hierarchical network embedding method based on network partitioning. Int. J. Comput. Appl. Technol. 65(1): 87-95 (2021) - 2020
- [c1]Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang:
Deep Semantic Network Representation. ICDM 2020: 1154-1159
Coauthor Index
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