NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
103 2023 A practical contrastive learning framework for single-image super-resolution G Wu, J Jiang, X Liu
IEEE Transactions on Neural Networks and Learning Systems, 2023
35 2023 NTIRE 2022 image inpainting challenge: Report A Romero, A Castillo, J Abril-Nova, R Timofte, R Das, S Hira, Z Pan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
24 2022 Glama: Joint spatial and frequency loss for general image inpainting Z Lu, J Jiang, J Huang, G Wu, X Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
19 2022 No one idles: Efficient heterogeneous federated learning with parallel edge and server computation F Zhang, X Liu, S Lin, G Wu, X Zhou, J Jiang, X Ji
International Conference on Machine Learning, 41399-41413, 2023
6 2023 Incorporating transformer designs into convolutions for lightweight image super-resolution G Wu, J Jiang, Y Bai, X Liu
arXiv preprint arXiv:2303.14324, 2023
4 2023 Learning from history: Task-agnostic model contrastive learning for image restoration G Wu, J Jiang, K Jiang, X Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5976-5984, 2024
2 2024 Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach G Wu, J Jiang, J Jiang, X Liu
arXiv preprint arXiv:2401.05633, 2024
2 2024 Exploiting Self-Supervised Constraints in Image Super-Resolution G Wu, J Jiang, K Jiang, X Liu
arXiv preprint arXiv:2404.00260, 2024
2024 Fully G Wu, J Jiang, K Jiang, X Liu
arXiv preprint arXiv:2307.16140, 2023
2023 G Wu, J Jiang, X Liu
2022 scDeepC3: scRNA-seq Deep Clustering by A Skip AutoEncoder Network with Clustering Consistency G Wu, J Jiang, X Liu
bioRxiv, 2022.06. 05.494891, 2022
2022 