Adaptive NN prescribed performance control for nonlinear systems with output dead zone. - Hailong Yan; Yansong Li (Neural Comput. Appl., 2017)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

Precise Interception Flight Targets by Image-based Visual Servoing of Multicopter. - Hailong Yan; Kun Yang; Yixiao Cheng; Zihao Wang; Dawei Li (CoRR, 2024)

Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Cheng Li 009; Lian Liu; Jun Cao; Heng Sun; Wu Pan; Song Wang; Keqiang Yu; Shuo Liu; Hongqin He; et al. (CVPR Workshops, 2025)

RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Wu Pan; Song Wang; Dong Zhang; Zhao Ran; Xiaochen Li; Shichang Ju; Diankai Zhang; Biao Wu; Shaoli Liu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Florin-Alexandru Vasluianu; Hailong Yan; Bin Ren; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Kangbiao Shi; Yixu Feng; et al. (CVPR Workshops, 2025)

Zero-shot image segmentation for scene objects based on the L0 gradient minimization and adaptive superpixel method. - Hailong Yan; Junjian Huang; Mao Zheng; Yijie Tang (Neural Comput. Appl., 2025)

MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices. - Hailong Yan; Ao Li 007; Xiangtao Zhang; Zhe Liu 019; Zenglin Shi; Ce Zhu; Le Zhang 001 (CoRR, 2025)

IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoising. - Hailong Yan; Junjian Huang; Tingwen Huang (CoRR, 2025)

Towards lightest low-light image enhancement architecture for mobile devices. - Guangrui Bai; Hailong Yan; Wenhai Liu; Yahui Deng; Erbao Dong (Expert Syst. Appl., 2026)