Linchuan Xu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 35

Top Topics

Similarity Metric

Generalization Bounds

Subspace Clustering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Chuan-hao Lin, Linchuan Xu, Kenji Yamanishi
Network Change Detection Based on Random Walk in Latent Space. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yanjin Li, Linchuan Xu, Kenji Yamanishi
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. ICDM (2023)
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)
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) (2023)
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
Contrastive Knowledge Graph Error Detection. CIKM (2022)
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
Contrastive Knowledge Graph Error Detection. CoRR (2022)
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. Big Data (2022)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR (2021)
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)
Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng
Multi-layered Semantic Representation Network for Multi-label Image Classification. CoRR (2021)
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 (2021)
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) (2021)
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) (2021)
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)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML (2021)
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
Discovering Latent Class Labels for Multi-Label Learning. IJCAI (2020)
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 (2020)
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) (2020)
Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui
Sketch-then-Edit Generative Adversarial Network. Knowl. Based Syst. 203 (2020)
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) (2020)
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 (2020)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Multi-task network embedding. Int. J. Data Sci. Anal. 8 (2) (2019)
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
Attributed Subspace Clustering. IJCAI (2019)
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
Orderly Subspace Clustering. AAAI (2019)
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)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. PAKDD (2) (2018)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
On Exploring Semantic Meanings of Links for Embedding Social Networks. WWW (2018)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. IJCNN (2018)
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)
Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW (2017)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. DSAA (2017)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Multiple Social Role Embedding. DSAA (2017)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Embedding Identity and Interest for Social Networks. WWW (Companion Volume) (2017)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. WSDM (2017)
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
Multi-task Network Embedding. DSAA (2017)