A Peer-to-Peer Media Streaming System Based on the iVCE Platform. - Jiqing Wu; Yuxing Peng 001; Rui Shen 003 (ICPADS, 2009)

Transmission Scheduling in Data-Driven Peer-to-Peer Streaming towards Optimal Throughput. - Jiqing Wu; Yuxing Peng 001; Feng Liu (NAS, 2009)

Towards Low Delay Sub-Stream Scheduling. - Guofu Wu; Qiang Dou; Jiqing Wu; Dongsong Ban; Wenhua Dou (Int. J. Comput. Commun. Control, 2010)

Efficient regression priors for post-processing demosaiced images. - Jiqing Wu; Radu Timofte; Luc Van Gool (ICIP, 2015)

Learned Collaborative Representations for Image Classification. - Jiqing Wu; Radu Timofte; Luc Van Gool (WACV, 2015)

Generic 3D Convolutional Fusion for Image Restoration. - Jiqing Wu; Radu Timofte; Luc Van Gool (ACCV Workshops (1), 2016)

Demosaicing Based on Directional Difference Regression and Efficient Regression Priors. - Jiqing Wu; Radu Timofte; Luc Van Gool (IEEE Trans. Image Process., 2016)

In Defense of Shallow Learned Spectral Reconstruction from RGB Images. - Jiqing Wu; Jonas Aeschbacher; Radu Timofte (ICCV Workshops, 2017)

Generative Autotransporters. - Jiqing Wu; Zhiwu Huang; Wen Li 001; Luc Van Gool (CoRR, 2017)

On the Relation between Color Image Denoising and Classification. - Jiqing Wu; Radu Timofte; Zhiwu Huang; Luc Van Gool (CoRR, 2017)

Face Translation between Images and Videos using Identity-aware CycleGAN. - Zhiwu Huang; Bernhard Kratzwald; Danda Pani Paudel; Jiqing Wu; Luc Van Gool (CoRR, 2017)

Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation. - Jiqing Wu; Zhiwu Huang; Janine Thoma; Luc Van Gool (CoRR, 2017)

Manifold-valued Image Generation with Wasserstein Adversarial Networks. - Zhiwu Huang; Jiqing Wu; Luc Van Gool (CoRR, 2017)

Building Deep Networks on Grassmann Manifolds. - Zhiwu Huang; Jiqing Wu; Luc Van Gool (AAAI, 2018)

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Shuhang Gu; Jiqing Wu; Luc Van Gool (CVPR Workshops, 2018)

Wasserstein Divergence for GANs. - Jiqing Wu; Zhiwu Huang; Janine Thoma; Dinesh Acharya 001; Luc Van Gool (ECCV (5), 2018)

Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. - Zhiwu Huang; Jiqing Wu; Luc Van Gool (AAAI, 2019)

Sliced Wasserstein Generative Models. - Jiqing Wu; Zhiwu Huang; Dinesh Acharya 001; Wen Li 001; Janine Thoma; Danda Pani Paudel; Luc Van Gool (CVPR, 2019)

Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. - Zhiwu Huang; Danda Pani Paudel; Guanju Li; Jiqing Wu; Radu Timofte; Luc Van Gool (CoRR, 2019)

Improving Wasserstein Generative Models for Image Synthesis and Enhancement. - Jiqing Wu (2020)

Towards IID representation learning and its application on biomedical data. - Jiqing Wu; Inti Zlobec; Maxime W. Lafarge; Yukun He; Viktor H. Koelzer (MIDL, 2022)

Automated causal inference in application to randomized controlled clinical trials. - 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; et al. (Nat. Mach. Intell., 2022)

IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup. - Jiqing Wu; Ingrid Berg; Viktor H. Koelzer (MIDL, 2024)

GILEA: In silico phenome profiling and editing using GAN Inversion. - Jiqing Wu; Viktor H. Koelzer (Comput. Biol. Medicine, 2024)

SST-editing: in silico spatial transcriptomic editing at single-cell resolution. - Jiqing Wu; Viktor H. Koelzer (Bioinform., 2024)

Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion. - Jiqing Wu; Ingrid Berg; Yawei Li 001; Ender Konukoglu; Viktor H. Koelzer (CoRR, 2025)