Ke Lu

Proceedings of the IEEE International Conference on Communications, 2022

Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Distinguishing Unseen from Seen for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On Both Cold-Start and Long-Tail Recommendation with Social Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Adversarial Energy Disaggregation.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Challenging tough samples in unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Maximum Density Divergence for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning a Weighted Classifier for Conditional Domain Adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Domain Adaptive Semantic Segmentation without Source Data.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Transferrable and Interpretable Representations for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Balanced Open Set Domain Adaptation via Centroid Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning explicitly transferable representations for domain adaptation.

[BibT_eX]

[DOI]

Neural Networks, 2020

Joint metric and feature representation learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Multi-source domain adaptation with graph embedding and adaptive label prediction.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

Robust optimal graph clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Heterogeneous Domain Adaptation Through Progressive Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Locality Preserving Joint Transfer for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Transfer Independently Together: A Generalized Framework for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Alleviating Feature Confusion for Generative Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Cycle-consistent Conditional Adversarial Transfer Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Agile Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive Component Embedding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Domain Adaptation Approach for Multistream Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging the Invariant Side of Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

From Zero-Shot Learning to Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Coupled local-global adaptation for multi-source transfer learning.

[BibT_eX]

[DOI]

Jieyan Liu

Neurocomputing, 2018

I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Low-Rank Discriminant Embedding for Multiview Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Structured Domain Adaptation.

[BibT_eX]

[DOI]

Yue Wu

IEEE Trans. Circuits Syst. Video Technol., 2017

Low-Rank Representation with Graph Constraints for Robust Visual Tracking.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2017

Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2017

2016

Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Joint Feature Selection and Structure Preservation for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Robust Visual Tracking Using Sparse Discriminative Graph Embedding.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2015

2013

G-Optimal Feature Selection with Laplacian regularization.

[BibT_eX]

[DOI]

Guanhong Yao

Neurocomputing, 2013

Locally connected graph for visual tracking.

[BibT_eX]

[DOI]

Zhengming Ding

Sam S. Ge

Neurocomputing, 2013

2012

Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition.

[BibT_eX]

[DOI]

Zhengming Ding

Sam S. Ge

IEEE Trans. Intell. Transp. Syst., 2012

Locally connected graph embedding for semisupervised image classification.

[BibT_eX]

[DOI]

Zhengming Ding

J. Electronic Imaging, 2012

2011

Hessian optimal design for image retrieval.

[BibT_eX]

[DOI]

Yue Wu

Pattern Recognit., 2011

Neighborhood preserving regression for image retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2011

2010

Approximately harmonic projection: Theoretical analysis and an algorithm.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

2008

Locality sensitive semi-supervised feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2008

2006

An algorithm for semi-supervised learning in image retrieval.

[BibT_eX]

[DOI]

Deng Cai

Pattern Recognit., 2006

Semi-supervised Support Vector Learning for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Image retrieval based on incremental subspace learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Semi-supervised Learning for Image Retrieval Using Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Locality pursuit embedding.

[BibT_eX]

[DOI]

Wanli Min

Pattern Recognit., 2004

Image Retrieval Using Dimensionality Reduction.

[BibT_eX]

[DOI]