Deep-Rice: Deep Multi-sensor Image Recognition for Grading Rice. - Yiqiang Wu; Zhao Yang 001; Wanyin Wu; Xiang Li 103; Dapeng Tao (ICIA, 2018)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Video Deblurring: Methods and Results. - Seungjun Nah; Radu Timofte; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang 002; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; Chen Change Loy; et al. (CVPR Workshops, 2019)

Discriminative Dictionary Learning-Based Multiple Component Decomposition for Detail-Preserving Noisy Image Fusion. - Huafeng Li; Yitang Wang; Zhao Yang 001; Ruxin Wang 002; Xiang Li 103; Dapeng Tao (IEEE Trans. Instrum. Meas., 2020)

An Optimal Parameter Selection Method for MOMEDA Based on EHNR and Its Spectral Entropy. - Zhuorui Li; Jun Ma 009; Xiaodong Wang 024; Xiang Li 103 (Sensors, 2021)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (CoRR, 2022)

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution. - Xiang Li 103; Jiangxin Dong; Jinhui Tang 001; Jinshan Pan (ICCV, 2023)

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution. - Xiang Li 103; Jinshan Pan; Jinhui Tang 001; Jiangxin Dong (CoRR, 2023)

FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time-Frequency Domain for Imbalanced Bearing Fault Diagnosis. - Haoyu Wang; Peng Li 039; Xun Lang; Dapeng Tao; Jun Ma 009; Xiang Li 103 (IEEE Trans. Instrum. Meas., 2023)

Implicit Discriminator Domain Adversarial Residual Network for Cross Domain Rolling Bearing Fault Diagnosis. - Zhuorui Li; Jun Ma 009; Jiande Wu; Xiang Li 103; Xiaodong Wang 024 (IEEE Trans. Instrum. Meas., 2024)

A Gated Recurrent Generative Transfer Learning Network for Fault Diagnostics Considering Imbalanced Data and Variable Working Conditions. - Zhuorui Li; Jun Ma 009; Jiande Wu; Pak Kin Wong 001; Xiaodong Wang 024; Xiang Li 103 (IEEE Trans. Neural Networks Learn. Syst., 2025)