Jing Wang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 23

Top Topics

Data Representation

Negative Matrix Factorization

Generalization Error

Top Venues

IEEE Trans. Cybern.

Publications

Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi
Tight and fast generalization error bound of graph embedding in metric space. ICML (2023)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR (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)
Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128 (8) (2020)
Kun Zhan, Feiping Nie, Jing Wang, Yi Yang
Multiview Consensus Graph Clustering. IEEE Trans. Image Process. 28 (3) (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)
Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi
Hyperbolic Ordinal Embedding. ACML (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)
Kun Zhan, Jinhui Shi, Jing Wang, Haibo Wang, Yuange Xie
Adaptive Structure Concept Factorization for Multiview Clustering. Neural Comput. 30 (4) (2018)
Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
Ranking Preserving Nonnegative Matrix Factorization. IJCAI (2018)
Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
Power-law Distribution Aware Trust Prediction. IJCAI (2018)
Jing Wang, Feng Tian, Hongchuan Yu, Chang Hong Liu, Kun Zhan, Xiao Wang
Diverse Non-Negative Matrix Factorization for Multiview Data Representation. IEEE Trans. Cybern. 48 (9) (2018)
Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang
Community Preserving Network Embedding. AAAI (2017)
Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang
Multi-Component Nonnegative Matrix Factorization. IJCAI (2017)
Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu
Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Trans. Cybern. 47 (12) (2017)
Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang
Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing 219 (2017)
Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang
Robust nonnegative matrix factorization with ordered structure constraints. IJCNN (2017)
Xianchao Tang, Tao Xu, Xia Feng, Guoqing Yang, Jing Wang, Qiannan Li, Yanbei Liu, Xiao Wang
Learning community structures: Global and local perspectives. Neurocomputing 239 (2017)
Kun Zhan, Jinhui Shi, Jing Wang, Feng Tian
Graph-regularized concept factorization for multi-view document clustering. J. Vis. Commun. Image Represent. 48 (2017)
Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Yanbei Liu
Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization. ICONIP (2) (2016)
Jing Wang, Feng Tian, Chang Hong Liu, Xiao Wang
Robust semi-supervised nonnegative matrix factorization. IJCNN (2015)