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2020 – today
- 2024
[j10]Yanjin Li, Linchuan Xu, Kenji Yamanishi:
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation. Knowl. Inf. Syst. 66(12): 7667-7695 (2024)- 2023
- [j9]Xiwen Qu, Hao Che, Jun Huang
, Linchuan Xu, Xiao Zheng:
Multi-layered semantic representation network for multi-label image classification. Int. J. Mach. Learn. Cybern. 14(10): 3427-3435 (2023) - [j8]Chuan-hao Lin, Linchuan Xu, Kenji Yamanishi:
Network Change Detection Based on Random Walk in Latent Space. IEEE Trans. Knowl. Data Eng. 35(6): 6136-6147 (2023) - [c21]Yanjin Li, Linchuan Xu, Kenji Yamanishi:
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. ICDM 2023: 319-328 - [c20]Zipei Yan, Dong Liang, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee:
VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia. MICCAI (7) 2023: 649-659 - 2022
- [c19]Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang:
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. IEEE Big Data 2022: 1172-1181 - [c18]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CIKM 2022: 2590-2599 - [i5]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CoRR abs/2211.10030 (2022) - 2021
- [j7]Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi:
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35(3): 1061-1086 (2021) - [j6]Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam, Xiaohui Cui:
JDGAN: Enhancing generator on extremely limited data via joint distribution. Neurocomputing 431: 148-162 (2021) - [j5]Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi:
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. 33(6): 2627-2639 (2021) - [c17]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML 2021: 10011-10021 - [c16]Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi:
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. KDD 2021: 3826-3834 - [c15]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. NeurIPS 2021: 1243-1255 - [i4]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi:
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR abs/2105.10475 (2021) - [i3]Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng:
Multi-layered Semantic Representation Network for Multi-label Image Classification. CoRR abs/2106.11596 (2021) - 2020
- [j4]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
ICANE: interaction content-aware network embedding via co-embedding of nodes and edges. Int. J. Data Sci. Anal. 9(4): 401-414 (2020) - [j3]Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui:
Sketch-then-Edit Generative Adversarial Network. Knowl. Based Syst. 203: 106102 (2020) - [j2]Linchuan Xu, Jiannong Cao, Xiaokai Wei, Philip S. Yu:
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization. IEEE Trans. Knowl. Data Eng. 32(12): 2414-2425 (2020) - [c14]Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi:
Discovering Latent Class Labels for Multi-Label Learning. IJCAI 2020: 3058-3064 - [i2]Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin:
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR abs/2007.15179 (2020) - [i1]Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi:
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR abs/2007.15897 (2020)
2010 – 2019
- 2019
- [j1]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multi-task network embedding. Int. J. Data Sci. Anal. 8(2): 183-198 (2019) - [c13]Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi:
Orderly Subspace Clustering. AAAI 2019: 5264-5272 - [c12]Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. IJCAI 2019: 3719-3725 - [c11]Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. KDD 2019: 2278-2286 - 2018
- [c10]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. IJCNN 2018: 1-8 - [c9]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. PAKDD (2) 2018: 183-195 - [c8]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Exploring Semantic Meanings of Links for Embedding Social Networks. WWW 2018: 479-488 - 2017
- [c7]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multi-task Network Embedding. DSAA 2017: 571-580 - [c6]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multiple Social Role Embedding. DSAA 2017: 581-589 - [c5]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. DSAA 2017: 676-685 - [c4]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. WSDM 2017: 741-749 - [c3]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Embedding Identity and Interest for Social Networks. WWW (Companion Volume) 2017: 859-860 - [c2]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. WWW (Companion Volume) 2017: 861-862 - [c1]Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu:
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW 2017: 1611-1619
Coauthor Index
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