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ORCIDJiqing Wu
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2020 – today
- 2024
[j5]Jiqing Wu
, Viktor H. Koelzer:
SST-editing: in silico spatial transcriptomic editing at single-cell resolution. Bioinform. 40(3) (2024)- [j4]Jiqing Wu, Viktor H. Koelzer:
GILEA: In silico phenome profiling and editing using GAN Inversion. Comput. Biol. Medicine 179: 108825 (2024) - 2022
- [j3]Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer:
Automated causal inference in application to randomized controlled clinical trials. Nat. Mach. Intell. 4(5): 436-444 (2022) - [c12]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. MIDL 2022: 1375-1402 - [i10]Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer:
Automated causal inference in application to randomized controlled clinical trials. CoRR abs/2201.05773 (2022) - [i9]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. CoRR abs/2203.00332 (2022) - 2020
- [b1]Jiqing Wu:
Improving Wasserstein Generative Models for Image Synthesis and Enhancement. ETH Zurich, Zürich, Switzerland, 2020
2010 – 2019
- 2019
- [c11]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. AAAI 2019: 3886-3893 - [c10]Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool:
Sliced Wasserstein Generative Models. CVPR 2019: 3713-3722 - [i8]Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool:
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. CoRR abs/1910.10455 (2019) - 2018
- [c9]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. AAAI 2018: 3279-3286 - [c8]Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool:
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2018: 852-863 - [c7]Jiqing Wu, Zhiwu Huang, Janine Thoma, Dinesh Acharya, Luc Van Gool:
Wasserstein Divergence for GANs. ECCV (5) 2018: 673-688 - 2017
- [c6]Jiqing Wu, Jonas Aeschbacher, Radu Timofte:
In Defense of Shallow Learned Spectral Reconstruction from RGB Images. ICCV Workshops 2017: 471-479 - [i7]Jiqing Wu, Radu Timofte, Zhiwu Huang, Luc Van Gool:
On the Relation between Color Image Denoising and Classification. CoRR abs/1704.01372 (2017) - [i6]Jiqing Wu, Zhiwu Huang, Wen Li, Luc Van Gool:
Generative Autotransporters. CoRR abs/1706.02631 (2017) - [i5]Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool:
Face Translation between Images and Videos using Identity-aware CycleGAN. CoRR abs/1712.00971 (2017) - [i4]Jiqing Wu, Zhiwu Huang, Janine Thoma, Luc Van Gool:
Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation. CoRR abs/1712.01026 (2017) - [i3]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-valued Image Generation with Wasserstein Adversarial Networks. CoRR abs/1712.01551 (2017) - 2016
- [j2]Jiqing Wu, Radu Timofte, Luc Van Gool:
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors. IEEE Trans. Image Process. 25(8): 3862-3874 (2016) - [c5]Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for Image Restoration. ACCV Workshops (1) 2016: 159-176 - [i2]Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for image restoration. CoRR abs/1607.07561 (2016) - [i1]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. CoRR abs/1611.05742 (2016) - 2015
- [c4]Jiqing Wu, Radu Timofte, Luc Van Gool:
Efficient regression priors for post-processing demosaiced images. ICIP 2015: 3495-3499 - [c3]Jiqing Wu, Radu Timofte, Luc Van Gool:
Learned Collaborative Representations for Image Classification. WACV 2015: 456-463 - 2010
- [j1]Guofu Wu, Qiang Dou, Jiqing Wu, Dongsong Ban, Wenhua Dou:
Towards Low Delay Sub-Stream Scheduling. Int. J. Comput. Commun. Control 5(5): 727-734 (2010)
2000 – 2009
- 2009
- [c2]Jiqing Wu, Yuxing Peng, Rui Shen:
A Peer-to-Peer Media Streaming System Based on the iVCE Platform. ICPADS 2009: 782-786 - [c1]Jiqing Wu, Yuxing Peng, Feng Liu:
Transmission Scheduling in Data-Driven Peer-to-Peer Streaming towards Optimal Throughput. NAS 2009: 277-280
Coauthor Index
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