| 2023 | ICDM | GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. | Yanjin Li, Linchuan Xu, Kenji Yamanishi |
| 2023 | MICCAI | VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia. | Zipei Yan, Dong Liang, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee |
| 2022 | CIKM | Contrastive Knowledge Graph Error Detection. | Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu |
| 2021 | ICML | Generalization Error Bound for Hyperbolic Ordinal Embedding. | Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza |
| 2021 | KDD | PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. | Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi |
| 2020 | IJCAI | Discovering Latent Class Labels for Multi-Label Learning. | Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi |
| 2019 | AAAI | Orderly Subspace Clustering. | Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi |
| 2019 | IJCAI | Attributed Subspace Clustering. | Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi |
| 2019 | KDD | Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. | Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2018 | IJCNN | On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2018 | PAKDD | Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2018 | WWW | On Exploring Semantic Meanings of Links for Embedding Social Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | DSAA | Multi-task Network Embedding. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | DSAA | Multiple Social Role Embedding. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | DSAA | Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | WWW | Cross View Link Prediction by Learning Noise-resilient Representation Consensus. | Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu |
| 2017 | WWW | Embedding Identity and Interest for Social Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | WWW | On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | WSDM | Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |