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Xiao Luo
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Year
A survey on deep hashing methods
X Luo, H Wang, D Wu, C Chen, M Deng, J Huang, XS Hua
ACM Transactions on Knowledge Discovery from Data (TKDD) 17 (1), 1-50, 2023
1372023
A comprehensive survey on deep graph representation learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ...
Neural Networks, 106207, 2024
69*2024
Dualgraph: Improving semi-supervised graph classification via dual contrastive learning
X Luo, W Ju, M Qu, C Chen, M Deng, XS Hua, M Zhang
ICDE 2022, 2022
422022
Unsupervised graph-level representation learning with hierarchical contrasts
W Ju, Y Gu, X Luo, Y Wang, H Yuan, H Zhong, M Zhang
Neural Networks 158, 359-368, 2023
382023
Clear: Cluster-enhanced contrast for self-supervised graph representation learning
X Luo, W Ju, M Qu, Y Gu, C Chen, M Deng, XS Hua, M Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
382022
Cimon: Towards high-quality hash codes
X Luo, D Wu, Z Ma, C Chen, M Deng, J Ma, Z Jin, J Huang, XS Hua
IJCAI 2021, 2021
372021
Few-shot molecular property prediction via Hierarchically Structured Learning on Relation Graphs
W Ju, Z Liu, Y Qin, B Feng, C Wang, Z Guo, X Luo, M Zhang
Neural Networks, 2023
342023
Ghnn: Graph harmonic neural networks for semi-supervised graph-level classification
W Ju, X Luo, Z Ma, J Yang, M Deng, M Zhang
Neural Networks 151, 70-79, 2022
342022
TGNN: A joint semi-supervised framework for graph-level classification
W Ju, X Luo, M Qu, Y Wang, C Chen, M Deng, XS Hua, M Zhang
IJCAI 2022, 2022
322022
Expectation pooling: an effective and interpretable pooling method for predicting DNA–protein binding
X Luo, X Tu, Y Ding, G Gao, M Deng
Bioinformatics 36 (5), 1405-1412, 2020
312020
Glcc: A general framework for graph-level clustering
W Ju, Y Gu, B Chen, G Sun, Y Qin, X Liu, X Luo, M Zhang
AAAI 2023, 2023
292023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
N Yin, L Shen, M Wang, L Lan, Z Ma, C Chen, XS Hua, X Luo
ICML 2023, 2023
28*2023
A statistical approach to mining semantic similarity for deep unsupervised hashing
X Luo, D Wu, Z Ma, C Chen, M Deng, J Huang, XS Hua
MM 2021, 2021
282021
Dynamic hypergraph convolutional network
N Yin, F Feng, Z Luo, X Zhang, W Wang, X Luo, C Chen, XS Hua
ICDE 2022, 2022
262022
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification
N Yin, L Shen, B Li, M Wang, X Luo, C Chen, Z Luo, XS Hua
MM 2022, 2022
242022
OMG: Towards Effective Graph Classification Against Label Noise
N Yin, L Shen, M Wang, X Luo, Z Luo, D Tao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
232023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Y Zhao, X Luo, W Ju, C Chen, XS Hua, M Zhang
ICDE 2023, 2023
232023
Towards Semi-supervised Universal Graph Classification
X Luo, Y Zhao, Y Qin, W Ju, M Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
182023
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning
X Luo, W Ju, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
182023
Kernel-based Substructure Exploration for Next POI Recommendation
W Ju, Y Qin, Z Qiao, X Luo, Y Wang, Y Fu, M Zhang
ICDM 2022, Best Paper Finalist, 2022
182022
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Articles 1–20