Papers published by Tongliang Liu. If you have questions regarding any of these publications, please feel free to contact me.

Preprints:




Local Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks.
Kede Ma, Huan Fu, Tongliang Liu, Zhou Wang, and Dacheng Tao.



A Regularization Approach for Instance-Based Superset Label Learning.
Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, and Dacheng Tao.
IEEE Transactions on Cybernetics (T-CYB), accepted.



dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs.
Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, and Dacheng Tao.
IEEE Transactions on Image Processing (T-IP), accepted.



Multi-class Learning with Partially Corrupted Labels.
Ruxin Wang, Tongliang Liu, and Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted.



On Better Exploring and Exploiting Task Relationship in Multi-Task Learning: Joint Model and Feature Learning.
Ya Li, Xinmei Tian, Tongliang Liu, and Dacheng Tao.
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted.



Supervised Discrete Hashing with Relaxation.
Jie Gui*, Tongliang Liu*, Zhenan Sun, Dacheng Tao, and Tieniu Tan.
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted.



Large Cone Non-negative Matrix Factorization. [PDF] [BibTeX] [MATLAB CODE]
Tongliang Liu, Mingming Gong, and Dacheng Tao.
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted.



Fast Supervised Discrete Hashing.
Jie Gui*, Tongliang Liu*, Zhenan Sun, Dacheng Tao, and Tieniu Tan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.

Journal papers:

2017



Algorithm-Dependent Generalization Bounds for Multi-Task Learning. [PDF] [BibTeX]
Tongliang Liu, Dacheng Tao, Mingli Song, and Stephen J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(2): 227-241, 2017.



Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. [BibTeX]
Yuxiang Zhang, Bo Du, LiangPei Zhang, and Tongliang Liu.
IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 55(2): 894-906, 2017.



Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification. [PDF] [BibTeX]
Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao.
IEEE Transactions on Image Processing (T-IP), 26(1): 452-463, 2017.



Spectral Ensemble Clustering via Weighted K-means: Theoretical and Practical Evidence.
Hongfu Liu, Junjie Wu, Tongliang Liu, Dacheng Tao, and Yun Fu.
IEEE Transactions on Knowledge and Data Engineering (T-KDE), vol. 29, no. 5, pp. 1129-1143, 2017.

2016



Classification with Noisy Labels by Importance Reweighting. [PDF] [BibTeX] [MATLAB CODE]
Tongliang Liu and Dacheng Tao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 38(3): 447-461, 2016.



Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes. [PDF] [BibTeX]
Tongliang Liu, Dacheng Tao, and Dong Xu.
Neural Computation (NECO), 28(10): 2213-2249, 2016.



On the Performance of MahNMF Manhattan Non-negative Matrix Factorization. [PDF] [BibTeX]
Tongliang Liu and Dacheng Tao.
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 27(9): 1851-1863, 2016.



Local Rademacher Complexity for Multi-Label Learning. [PDF] [BibTeX]
Chang Xu, Tongliang Liu, Dacheng Tao, and Chao Xu.
IEEE Transactions on Image Processing (T-IP), 25(3): 1495-1507, 2016.



Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair. [PDF] [BibTeX]
Hao Xiong, Tongliang Liu, Dacheng Tao, and Heng Tao Shen.
IEEE Transactions on Image Processing (T-IP), 25(8): 3626-3637, 2016.



Representative Vector Machines: A Unified Framework for Classical Classifiers. [PDF] [BibTeX]
Jie Gui*, Tongliang Liu*, Dacheng Tao, Zhenan Sun, and Tieniu Tan.
IEEE Transactions on Cybernetics (T-CYB), 46(8): 1877-1888, 2016.



Video Face Editing Using Temporal-Spatial-Smooth Warping. [PDF] [BibTeX]
Xiaoyan Li, Tongliang Liu, Jiankang Deng, and Dacheng Tao.
ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 7(3): 32, 2016.

2015



Deformed Graph Laplacian for Semisupervised Learning. [PDF] [BibTeX]
Chen Gong, Tongliang Liu and Dacheng Tao, Keren Fu, Enmei Tu, and Jie Yang.
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 26(10): 2261-2274, 2015.



Multiview Matrix Completion for Multilabel Image Classification. [PDF] [BibTeX]
Yong Luo, Tongliang Liu, Dacheng Tao, and Chao Xu.
IEEE Transactions on Image Processing (T-IP), 24(8): 2261-2274, 2015.



No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model. [PDF] [BibTeX]
Yanan Lu, Fengying Xie, Tongliang Liu, Zhiguo Jiang, and Dacheng Tao.
IEEE Signal Processing Letters (IEEE-SPL), 22(10): 1811-1815, 2015.

2014



Decomposition-Based Transfer Distance Metric Learning for Image Classification. [PDF] [BibTeX]
Yong Luo, Tongliang Liu, Dacheng Tao, and Chao Xu.
IEEE Transactions on Image Processing (T-IP), 23(9): 3789-3801, 2014.

Conference papers:



General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.
Yong Luo, Yonggang Wen, Tongliang Liu, and Dacheng Tao.
The 2017 International Joint Conference on Artificial Intelligence (IJCAI 2017), Accepted.



Understanding How Feature Structure Transfers in Transfer Learning.
Tongliang Liu, Qiang Yang, and Dacheng Tao.
The 2017 International Joint Conference on Artificial Intelligence (IJCAI 2017), Accepted.



Algorithmic Stability and Hypothesis Complexity.
Tongliang Liu, Gábor Lugosi, Gergely Neu, and Dacheng Tao.
The 34th International Conference on Machine Learning (ICML 2017), Accepted.



On Compressing Deep Models by Low Rank and Sparse Decomposition.
Xiyu Yu, Tongliang Liu, Xinchao Wang, and Dacheng Tao.
The 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Accepted.



Domain Adaptation with Conditional Transferable Components. [PDF] [BibTeX]
Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, and Bernhard Schölkopf.
The 33rd International Conference on Machine Learning (ICML 2016): 2839-2848.



Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair. [PDF] [BibTeX]
Hao Xiong, Tongliang Liu, and Dacheng Tao.
The 30th AAAI Conference on Artificial Intelligence (AAAI 2016): 3641-3647.



Spectral Ensemble Clustering. [PDF] [BibTeX]
Hongfu Liu*, Tongliang Liu*, Junjie Wu, Dacheng Tao, and Yun Fu. [*: equally contributed]
The 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2015): 715-724.



Multi-Task Model and Feature Joint Learning. [PDF] [BibTeX]
Ya Li, Xinmei Tian, Tongliang Liu, and Dacheng Tao.
The 2015 International Joint Conference on Artificial Intelligence (IJCAI 2015): 3643-3649.



On the Robustness and Generalization of Cauchy Regression. [PDF] [BibTeX] [Best Paper Award]
Tongliang Liu and Dacheng Tao.
The 2014 IEEE International Conference on Information Science and Technology (ICIST 2014): 100-105.



Learning Relative Features through Adaptive Pooling for Image Classification. [PDF] [BibTeX] [Best Paper Award candidate]
Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, and Yun Fu.
The 2014 IEEE International Conference on Multimedia and Expo (ICME 2014): 1-6.