Tingjin Luo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Dimension Reduction

Feature Selection

Subspace Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Image Process.

Pattern Recognit.

Publications

Zhangqi Jiang, Tingjin Luo, Xinyan Liang
Deep Incomplete Multi-View Learning Network with Insufficient Label Information. AAAI (2024)
Tingjin Luo, Yang Yang, Dongyun Yi, Jieping Ye
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl. Intell. 54 (3) (2024)
Hong Tao, Jiacheng Jiang, Chenping Hou, Tingjin Luo, Ruidong Fan, Jing Zhang
Compound Weakly Supervised Clustering. IEEE Trans. Image Process. 33 (2024)
Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi
Absent Multiview Semisupervised Classification. IEEE Trans. Cybern. 54 (3) (2024)
Shilin Gu, Tingjin Luo, Ming He, Chenping Hou
Online Learning With Incremental Feature Space and Bandit Feedback. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Xiuqi Huang, Haotian Ni, Tingjin Luo, Hong Tao, Chenping Hou
Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing 549 (2023)
Ruidong Fan, Xiao Ouyang, Tingjin Luo, Dewen Hu, Chenping Hou
Incomplete Multi-View Learning Under Label Shift. IEEE Trans. Image Process. 32 (2023)
Yueying Liu, Tingjin Luo
Joint Distribution Alignment and Transfer Subspace Learning for Unsupervised Domain Adaptation. CCIS (2023)
Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
Active label distribution learning via kernel maximum mean discrepancy. Frontiers Comput. Sci. 17 (4) (2023)
Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu
Semi-Supervised Learning With Label Proportion. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Hao Zhou, Jun Zhang, Tingjin Luo, Yazhou Yang, Jun Lei
Debiased Scene Graph Generation for Dual Imbalance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jing Zhang, Hong Tao, Tingjin Luo, Chenping Hou
Safe incomplete label distribution learning. Pattern Recognit. 125 (2022)
Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Hao Zhou, Yazhou Yang, Tingjin Luo, Jun Zhang, Shuohao Li
A unified deep sparse graph attention network for scene graph generation. Pattern Recognit. 123 (2022)
Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou
Multi-instance positive and unlabeled learning with bi-level embedding. Intell. Data Anal. 26 (3) (2022)
Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou
Multiple Instance Learning for Unilateral Data. PAKDD (1) (2021)
Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou
Active label distribution learning. Neurocomputing 436 (2021)
Hao Zhou, Tingjin Luo, Jun Zhang, Jun Lei, Shuohao Li
Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation. ICME (2021)
Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi
Multi-View Spectral Clustering With Incomplete Graphs. IEEE Access 8 (2020)
Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou
Multi-view subspace learning via bidirectional sparsity. Pattern Recognit. 108 (2020)
Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou
Optimal Representative Distribution Margin Machine for Multi-Instance Learning. IEEE Access 8 (2020)
Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. 49 (3) (2019)
Haodong Yang, Jun Zhang, Shuohao Li, Tingjin Luo
Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition. J. Intell. Fuzzy Syst. 36 (1) (2019)
Zhipeng Lin, Zhenyu Zhao, Tingjin Luo, Wenjing Yang, Yongjun Zhang, Yuhua Tang
Non-Convex Transfer Subspace Learning for Unsupervised Domain Adaptation. ICME (2019)
Haotian Wang, Wenjing Yang, Zhenyu Zhao, Tingjin Luo, Ji Wang, Yuhua Tang
Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap. Neurocomputing 357 (2019)
Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks. IEEE Trans. Knowl. Data Eng. 30 (11) (2018)
Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition. IEEE Trans. Knowl. Data Eng. 30 (10) (2018)
Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing 283 (2018)
Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. 26 (9) (2017)
Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops (2017)
Shuang Qiu, Tingjin Luo, Jieping Ye, Ming Lin
Nonconvex One-bit Single-label Multi-label Learning. CoRR (2017)
Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD (2017)
Tingjin Luo, Chenping Hou, Dongyun Yi, Jun Zhang
Discriminative orthogonal elastic preserving projections for classification. Neurocomputing 179 (2016)