Jiqing Wu

Orcid: 0000-0002-6898-8698

According to our database1, Jiqing Wu authored at least 24 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SST-editing: <i>in silico</i> spatial transcriptomic editing at single-cell resolution.
Bioinform., March, 2024

GILEA: In silico phenome profiling and editing using GAN Inversion.
Comput. Biol. Medicine, 2024

2022
Automated causal inference in application to randomized controlled clinical trials.
Nat. Mach. Intell., 2022

Towards IID representation learning and its application on biomedical data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2020
Improving Wasserstein Generative Models for Image Synthesis and Enhancement.
PhD thesis, 2020

2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement.
CoRR, 2019

Sliced Wasserstein Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Wasserstein Divergence for GANs.
Proceedings of the Computer Vision - ECCV 2018, 2018

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Building Deep Networks on Grassmann Manifolds.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Manifold-valued Image Generation with Wasserstein Adversarial Networks.
CoRR, 2017

Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation.
CoRR, 2017

Face Translation between Images and Videos using Identity-aware CycleGAN.
CoRR, 2017

On the Relation between Color Image Denoising and Classification.
CoRR, 2017

Generative Autotransporters.
CoRR, 2017

In Defense of Shallow Learned Spectral Reconstruction from RGB Images.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors.
IEEE Trans. Image Process., 2016

Generic 3D Convolutional Fusion for Image Restoration.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Learned Collaborative Representations for Image Classification.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Efficient regression priors for post-processing demosaiced images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2010
Towards Low Delay Sub-Stream Scheduling.
Int. J. Comput. Commun. Control, 2010

2009
Transmission Scheduling in Data-Driven Peer-to-Peer Streaming towards Optimal Throughput.
Proceedings of the International Conference on Networking, Architecture, and Storage, 2009

A Peer-to-Peer Media Streaming System Based on the iVCE Platform.
Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems, 2009


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