Tongliang Liu

According to our database1, Tongliang Liu authored at least 91 papers between 2014 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2020
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.
IEEE Trans. Neural Networks Learn. Syst., 2020

Group Feedback Capsule Network.
IEEE Trans. Image Process., 2020

Adversarial Examples for Hamming Space Search.
IEEE Trans. Cybern., 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Quantum differentially private sparse regression learning.
CoRR, 2020

Weakly Supervised Temporal Action Localization with Segment-Level Labels.
CoRR, 2020

Parts-dependent Label Noise: Towards Instance-dependent Label Noise.
CoRR, 2020

Class2Simi: A New Perspective on Learning with Label Noise.
CoRR, 2020

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning.
CoRR, 2020

Repulsive Mixture Models of Exponential Family PCA for Clustering.
CoRR, 2020

Quantum noise protects quantum classifiers against adversaries.
CoRR, 2020

Multi-Class Classification from Noisy-Similarity-Labeled Data.
CoRR, 2020

Towards Mixture Proportion Estimation without Irreducibility.
CoRR, 2020

Confidence Scores Make Instance-dependent Label-noise Learning Possible.
CoRR, 2020

Generative-Discriminative Complementary Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Diversified Bayesian Nonnegative Matrix Factorization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

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

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

A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection.
CoRR, 2019

Where is the Bottleneck of Adversarial Learning with Unlabeled Data?
CoRR, 2019

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems.
CoRR, 2019

Orthogonal Deep Neural Networks.
CoRR, 2019

Multi-View Matrix Completion for Multi-Label Image Classification.
CoRR, 2019

On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning.
CoRR, 2019

Generative-Discriminative Complementary Learning.
CoRR, 2019

Why ResNet Works? Residuals Generalize.
CoRR, 2019

Are Anchor Points Really Indispensable in Label-Noise Learning?
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Continuous Dropout.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

Supervised Discrete Hashing With Relaxation.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

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

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

An Optimal Transport View on Generalization.
CoRR, 2018

The Expressive Power of Parameterized Quantum Circuits.
CoRR, 2018

Implementable Quantum Classifier for Nonlinear Data.
CoRR, 2018

Instance-Dependent PU Learning by Bayesian Optimal Relabeling.
CoRR, 2018

Domain Generalization via Conditional Invariant Representation.
CoRR, 2018

An Information-Theoretic View for Deep Learning.
CoRR, 2018

On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier.
CoRR, 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 Networks Learn. 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 Process., 2017

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

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

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

Learning with Bounded Instance- and Label-dependent Label Noise.
CoRR, 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 Networks Learn. Syst., 2016

Video Face Editing Using Temporal-Spatial-Smooth Warping.
ACM Trans. Intell. Syst. Technol., 2016

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

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

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

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

Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes.
Neural Computation, 2016

Local Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks.
CoRR, 2016

Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes.
CoRR, 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 Networks Learn. Syst., 2015

Multiview Matrix Completion for Multilabel Image Classification.
IEEE Trans. Image Process., 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 Process., 2014

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


  Loading...