Chang Xu

According to our database1, Chang Xu authored at least 86 papers between 2012 and 2020.

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Bibliography

2020
Discriminative Multi-View Privileged Information Learning for Image Re-Ranking.
IEEE Trans. Image Processing, 2020

Joint hyperspectral unmixing for urban computing.
GeoInformatica, 2020

On Positive-Unlabeled Classification in GAN.
CoRR, 2020

2019
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multimedia, 2019

ROMIR: Robust Multi-View Image Re-Ranking.
IEEE Trans. Knowl. Data Eng., 2019

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer.
IEEE Trans. Image Processing, 2019

Evolutionary Generative Adversarial Networks.
IEEE Trans. Evolutionary Computation, 2019

Packing Convolutional Neural Networks in the Frequency Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

AdderNet: Do We Really Need Multiplications in Deep Learning?
CoRR, 2019

GhostNet: More Features from Cheap Operations.
CoRR, 2019

RNAS: Architecture Ranking for Powerful Networks.
CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.
CoRR, 2019

Efficient Residual Dense Block Search for Image Super-Resolution.
CoRR, 2019

CARS: Continuous Evolution for Efficient Neural Architecture Search.
CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.
CoRR, 2019

Co-Evolutionary Compression for Unpaired Image Translation.
CoRR, 2019

Graph Reasoning Networks for Visual Question Answering.
CoRR, 2019

Bringing Giant Neural Networks Down to Earth with Unlabeled Data.
CoRR, 2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.
CoRR, 2019

Data-Free Learning of Student Networks.
CoRR, 2019

Point Cloud Generation From Multiple Angles of Voxel Grids.
IEEE Access, 2019

Spatial-Temporal Attention-Based Human Dynamics Retrospection.
IEEE Access, 2019

Positive-Unlabeled Compression on the Cloud.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning from Bad Data via Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Crafting Efficient Neural Graph of Large Entropy.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LegoNet: Efficient Convolutional Neural Networks with Lego Filters.
Proceedings of the 36th International Conference on Machine Learning, 2019

Reinforced Molecule Generation with Heterogeneous States.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Image-Question-Answer Synergistic Network for Visual Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Representation Learning by Rotation Feature Decoupling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Smooth Deep Image Generator from Noises.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Perceptual Adversarial Networks for Image-to-Image Transformation.
IEEE Trans. Image Processing, 2018

Cost-Sensitive Feature Selection by Optimizing F-Measures.
IEEE Trans. Image Processing, 2018

Multi-Task Learning for Blind Source Separation.
IEEE Trans. Image Processing, 2018

Matrix Factorization for Collaborative Budget Allocation.
IEEE Trans. Automation Science and Engineering, 2018

Multi-view manifold learning with locality alignment.
Pattern Recognit., 2018

Learning Student Networks via Feature Embedding.
CoRR, 2018

Discriminative multi-view Privileged Information learning for image re-ranking.
CoRR, 2018

Robust Student Network Learning.
CoRR, 2018

Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition.
CoRR, 2018

Evolutionary Generative Adversarial Networks.
CoRR, 2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Evolutionary Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

R-SVM+: Robust Learning with Privileged Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Dictionary Learning with Confidence.
Proceedings of the IEEE International Conference on Data Mining, 2018

Historical Gradient Boosting Machine.
Proceedings of the GCAI-2018, 2018

Attention-GAN for Object Transfiguration in Wild Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning With Single-Teacher Multi-Student.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adversarial Learning of Portable Student Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforced Multi-Label Image Classification by Exploring Curriculum.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DCT Regularized Extreme Visual Recovery.
IEEE Trans. Image Processing, 2017

Discriminative Multi-View Interactive Image Re-Ranking.
IEEE Trans. Image Processing, 2017

Diversified dictionaries for multi-instance learning.
Pattern Recognit., 2017

SPA: Spatially Pooled Attributes for image retrieval.
Neurocomputing, 2017

Towards Evolutional Compression.
CoRR, 2017

Learning from Multiple Teacher Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privileged Multi-label Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Positive and Unlabeled Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast SVM Trained by Divide-and-Conquer Anchors.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collaborative Rating Allocation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Privileged Matrix Factorization for Collaborative Filtering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Beyond Filters: Compact Feature Map for Portable Deep Model.
Proceedings of the 34th International Conference on Machine Learning, 2017

Beyond RPCA: Flattening Complex Noise in the Frequency Domain.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

SERVE: Soft and Equalized Residual VEctors for image retrieval.
Neurocomputing, 2016

Streaming Label Learning for Modeling Labels on the Fly.
CoRR, 2016

Streaming View Learning.
CoRR, 2016

Parts for the Whole: The DCT Norm for Extreme Visual Recovery.
CoRR, 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Extreme Multi-label Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Multi-View Learning With Incomplete Views.
IEEE Trans. Image Processing, 2015

Multi-Task Pose-Invariant Face Recognition.
IEEE Trans. Image Processing, 2015

Multi-View Intact Space Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Large-margin multi-view Gaussian process.
Multimedia Syst., 2015

Multi-view Self-Paced Learning for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Large-Margin Multi-Label Causal Feature Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Large-Margin Multi-ViewInformation Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Large-margin Weakly Supervised Dimensionality Reduction.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.
IEEE Trans. Neural Netw. Learning Syst., 2013

A Survey on Multi-view Learning
CoRR, 2013

Large-margin multi-view Gaussian process for image classification.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Learning to rerank images with enhanced spatial verification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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