Deli Zhao

According to our database1, Deli Zhao authored at least 31 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
On Noise Injection in Generative Adversarial Networks.
CoRR, 2020

In-Domain GAN Inversion for Real Image Editing.
CoRR, 2020

Perceptual Image Super-Resolution with Progressive Adversarial Network.
CoRR, 2020

2019
Latent Variables on Spheres for Sampling and Spherical Inference.
CoRR, 2019

Curriculum Learning for Deep Generative Models with Clustering.
CoRR, 2019

LIA: Latently Invertible Autoencoder with Adversarial Learning.
CoRR, 2019

2018
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Recognizing an Action Using Its Name: A Knowledge-Based Approach.
Int. J. Comput. Vis., 2016

A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Determining step sizes in geometric optimization algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Network Representation Learning with Rich Text Information.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Scalable Gaussian Process Regression Using Deep Neural Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Homophilic Clustering by Locally Asymmetric Geometry.
CoRR, 2014

Errata: Distant Supervision for Relation Extraction with Matrix Completion.
CoRR, 2014

Zeta Hull Pursuits: Learning Nonconvex Data Hulls.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Distant Supervision for Relation Extraction with Matrix Completion.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Agglomerative clustering via maximum incremental path integral.
Pattern Recognit., 2013

Face Recognition via Archetype Hull Ranking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Face Recognition Using Face Patch Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph.
Proceedings of the Computer Vision - ECCV 2012, 2012

2008
Cyclizing Clusters via Zeta Function of a Graph.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Classification via semi-Riemannian spaces.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Linear local tangent space alignment and application to face recognition.
Neurocomputing, 2007

Laplacian PCA and Its Applications.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Contextual Distance for Data Perception.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Linear Laplacian Discrimination for Feature Extraction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Formulating LLE using alignment technique.
Pattern Recognit., 2006

2004
A Matrix-Oriented Method for Appearance-Based Data Compression - An Idea from Group Representation Theory.
Proceedings of the Advances in Biometric Person Authentication, 2004


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