Channel Hourglass Residual Network For Single Image Super-Resolution. - Fangwei Hao; Xindi Ma; Taiping Zhang; Yuanyan Tang (IJCNN, 2021)

Efficient residual attention network for single image super-resolution. - Fangwei Hao; Taiping Zhang; Linchang Zhao; Yuanyan Tang (Appl. Intell., 2022)

Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection. - Jiesheng Wu; Weiyun Liang; Fangwei Hao; Jing Xu 008 (IEEE Signal Process. Lett., 2023)

Large coordinate kernel attention network for lightweight image super-resolution. - Fangwei Hao; Jiesheng Wu; Haotian Lu 003; Ji Du; Jing Xu 008 (CoRR, 2024)

Dilated Strip Attention Network for Image Restoration. - Fangwei Hao; Jiesheng Wu; Ji Du; Yinjie Wang; Jing Xu 008 (CoRR, 2024)

Lightweight blueprint residual network for single image super-resolution. - Fangwei Hao; Jiesheng Wu; Weiyun Liang; Jing Xu 008; Ping Li 016 (Expert Syst. Appl., 2024)

Transformer Fusion and Pixel-Level Contrastive Learning for RGB-D Salient Object Detection. - Jiesheng Wu; Fangwei Hao; Weiyun Liang; Jing Xu 008 (IEEE Trans. Multim., 2024)

Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection. - Ji Du; Fangwei Hao; Mingyang Yu; Desheng Kong; Jiesheng Wu; Bin Wang; Jing Xu 008; Ping Li 016 (CVPR, 2025)

Information sparsity guided transformer for multi-modal medical image super-resolution. - Haotian Lu 003; Jie Mei 004; Yu Qiu; Yumeng Li; Fangwei Hao; Jing Xu 008; Lin Tang (Expert Syst. Appl., 2025)

Towards context-aware convolutional network for image restoration. - Fangwei Hao; Ji Du; Weiyun Liang; Jing Xu 008; Xiaoxuan Xu (Knowl. Based Syst., 2025)

UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models. - Ji Du; Jiesheng Wu; Desheng Kong; Weiyun Liang; Fangwei Hao; Jing Xu 008; Bin Wang; Guiling Wang 001; Ping Li 016 (IEEE Trans. Image Process., 2025)

Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution. - Fangwei Hao; Ji Du; Desheng Kong; Jiesheng Wu; Jing Xu 008; Ping Li 016 (CoRR, 2025)