Articles with public access mandates - Xiao-Ming WuLearn more
Not available anywhere: 3
Spectral embedding network for attributed graph clustering
X Zhang, H Liu, XM Wu, X Zhang, X Liu
Neural Networks 2021, 2021
Mandates: National Natural Science Foundation of China
Adaptive Graph Convolution Methods for Attributed Graph Clustering
X Zhang, H Liu, Q Li, XM Wu, X Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Mandates: National Natural Science Foundation of China
A new self-supervised task on graphs: Geodesic distance prediction
Z Peng, Y Dong, M Luo, XM Wu, Q Zheng
Information Sciences 607, 1195-1210, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 7
Graph transfer learning via adversarial domain adaptation with graph convolution
Q Dai, XM Wu, J Xiao, X Shen, D Wang
IEEE TKDE 2022, 2022
Mandates: National Natural Science Foundation of China
A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds
W Zhang, G Shi, Y Liu, C Dong, XM Wu
CVPR 2022 NTIRE Workshop, 2022
Mandates: National Natural Science Foundation of China
Real-world image super-resolution as multi-task learning
W Zhang, X Li, G Shi, X Chen, Y Qiao, X Zhang, XM Wu, C Dong
NeurIPS 2023, 2024
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Meta-path based neighbors for behavioral target generalization in sequential recommendation
J Chen, Z Gong, Y Li, H Zhang, H Yu, J Zhu, G Fan, XM Wu, K Wu
IEEE TNSE 2022, 2022
Mandates: National Natural Science Foundation of China
Boosting Few-Shot Text Classification via Distribution Estimation
H Liu, F Zhang, X Zhang, S Zhao, F Ma, XM Wu, H Chen, H Yu, X Zhang
AAAI 2023, 2023
Mandates: National Natural Science Foundation of China
RPC: Representative possible world based consistent clustering algorithm for uncertain data
H Liu, X Zhang, X Zhang, Q Li, XM Wu
Computer Communications 2021, 2021
Mandates: National Natural Science Foundation of China
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Y Luo, H Li, L Shi, XM Wu
NeurIPS 2024, 2024
Mandates: National Natural Science Foundation of China
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