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Linchuan Xu
Linchuan Xu
University of Toyko; TheSEA Inc.
Verified email at thesea.ai - Homepage
Title
Cited by
Cited by
Year
Embedding of embedding (EOE) joint embedding for coupled heterogeneous networks
L Xu, X Wei, J Cao, PS Yu
Proceedings of the tenth ACM international conference on web search and data …, 2017
1682017
Cross view link prediction by learning noise-resilient representation consensus
X Wei, L Xu, B Cao, PS Yu
Proceedings of the 26th international conference on World Wide Web, 1611-1619, 2017
1032017
On exploring semantic meanings of links for embedding social networks
L Xu, X Wei, J Cao, PS Yu
Proceedings of the 2018 World Wide Web Conference, 479-488, 2018
312018
Multi-task network embedding
L Xu, X Wei, J Cao, PS Yu
International Journal of Data Science and Analytics 8, 183-198, 2019
292019
Predicting the glaucomatous central 10-degree visual field from optical coherence tomography using deep learning and tensor regression
L Xu, R Asaoka, T Kiwaki, H Murata, Y Fujino, M Matsuura, Y Hashimoto, ...
American journal of ophthalmology 218, 304-313, 2020
242020
Embedding identity and interest for social networks
L Xu, X Wei, J Cao, PS Yu
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
242017
Multi-label learning with missing and completely unobserved labels
J Huang, L Xu, K Qian, J Wang, K Yamanishi
Data Mining and Knowledge Discovery 35, 1061-1086, 2021
232021
Contrastive knowledge graph error detection
Q Zhang, J Dong, K Duan, X Huang, Y Liu, L Xu
Proceedings of the 31st ACM International Conference on Information …, 2022
182022
Multi-layered semantic representation network for multi-label image classification
X Qu, H Che, J Huang, L Xu, X Zheng
International Journal of Machine Learning and Cybernetics 14 (10), 3427-3435, 2023
162023
Sketch-then-edit generative adversarial network
W Li, L Xu, Z Liang, S Wang, J Cao, C Ma, X Cui
Knowledge-Based Systems 203, 106102, 2020
152020
A novel global spatial attention mechanism in convolutional neural network for medical image classification
L Xu, J Huang, A Nitanda, R Asaoka, K Yamanishi
arXiv preprint arXiv:2007.15897, 2020
152020
Generalization bounds for graph embedding using negative sampling: Linear vs hyperbolic
A Suzuki, A Nitanda, L Xu, K Yamanishi, M Cavazza
Advances in Neural Information Processing Systems 34, 1243-1255, 2021
102021
A joint multitask learning model for cross-sectional and longitudinal predictions of visual field using OCT
R Asaoka, L Xu, H Murata, T Kiwaki, M Matsuura, Y Fujino, M Tanito, ...
Ophthalmology Science 1 (4), 100055, 2021
102021
Generalization error bound for hyperbolic ordinal embedding
A Suzuki, A Nitanda, J Wang, L Xu, K Yamanishi, M Cavazza
International Conference on Machine Learning, 10011-10021, 2021
102021
Network embedding via coupled kernelized multi-dimensional array factorization
L Xu, J Cao, X Wei, SY Philip
IEEE Transactions on Knowledge and Data Engineering 32 (12), 2414-2425, 2019
102019
Glaucoma progression prediction using retinal thickness via latent space linear regression
Y Zheng, L Xu, T Kiwaki, J Wang, H Murata, R Asaoka, K Yamanishi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
102019
Multiple social role embedding
L Xu, X Wei, J Cao, SY Philip
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
102017
JDGAN: Enhancing generator on extremely limited data via joint distribution
W Li, L Xu, Z Liang, S Wang, J Cao, TC Lam, X Cui
Neurocomputing 431, 148-162, 2021
92021
Discovering latent class labels for multi-label learning
J Huang, L Xu, J Wang, L Feng, K Yamanishi
International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2020
92020
On learning mixed community-specific similarity metrics for cold-start link prediction
L Xu, X Wei, J Cao, PS Yu
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
92017
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