Tongliang Liu

According to our database1, Tongliang Liu authored at least 52 papers between 2014 and 2019.

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Bibliography

2019
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Netw. Learning Syst., 2019

Adaptive Morphological Reconstruction for Seeded Image Segmentation.
IEEE Trans. Image Processing, 2019

Unsupervised Semantic-Preserving Adversarial Hashing for Image Search.
IEEE Trans. Image Processing, 2019

Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Truncated Cauchy Non-Negative Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Advances in data representation and learning for pattern analysis.
Neurocomputing, 2019

Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Positive and Unlabeled Learning with Label Disambiguation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Multiclass Learning With Partially Corrupted Labels.
IEEE Trans. Neural Netw. Learning Syst., 2018

Continuous Dropout.
IEEE Trans. Neural Netw. Learning Syst., 2018

On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning.
IEEE Trans. Neural Netw. Learning Syst., 2018

Supervised Discrete Hashing With Relaxation.
IEEE Trans. Neural Netw. Learning Syst., 2018

Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks.
IEEE Trans. Image Processing, 2018

A Regularization Approach for Instance-Based Superset Label Learning.
IEEE Trans. Cybernetics, 2018

Fast Supervised Discrete Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Semantic Structure-based Unsupervised Deep Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Heterogeneous Transfer Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning with Biased Complementary Labels.
Proceedings of the Computer Vision - ECCV 2018, 2018

Correcting the Triplet Selection Bias for Triplet Loss.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Domain Generalization via Conditional Invariant Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robust Angular Local Descriptor Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

Reliable Multi-View Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Domain Generalization via Conditional Invariant Representations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Large-Cone Nonnegative Matrix Factorization.
IEEE Trans. Neural Netw. Learning Syst., 2017

Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence.
IEEE Trans. Knowl. Data Eng., 2017

dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs.
IEEE Trans. Image Processing, 2017

Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Processing, 2017

Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection.
IEEE Trans. Geoscience and Remote Sensing, 2017

Algorithm-Dependent Generalization Bounds for Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Understanding How Feature Structure Transfers in Transfer Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Algorithmic Stability and Hypothesis Complexity.
Proceedings of the 34th International Conference on Machine Learning, 2017

On Compressing Deep Models by Low Rank and Sparse Decomposition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
On the Performance of Manhattan Nonnegative Matrix Factorization.
IEEE Trans. Neural Netw. Learning Syst., 2016

Video Face Editing Using Temporal-Spatial-Smooth Warping.
ACM TIST, 2016

Local Rademacher Complexity for Multi-Label Learning.
IEEE Trans. Image Processing, 2016

Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing.
IEEE Trans. Image Processing, 2016

Representative Vector Machines: A Unified Framework for Classical Classifiers.
IEEE Trans. Cybernetics, 2016

Classification with Noisy Labels by Importance Reweighting.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes.
Neural Computation, 2016

Domain Adaptation with Conditional Transferable Components.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Deformed Graph Laplacian for Semisupervised Learning.
IEEE Trans. Neural Netw. Learning Syst., 2015

Multiview Matrix Completion for Multilabel Image Classification.
IEEE Trans. Image Processing, 2015

No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model.
IEEE Signal Process. Lett., 2015

Spectral Ensemble Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Multi-Task Model and Feature Joint Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Decomposition-Based Transfer Distance Metric Learning for Image Classification.
IEEE Trans. Image Processing, 2014

Learning relative features through adaptive pooling for image classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014


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