Wang, Yingying

9 publications

AAAI 2025 AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-Free Real-World Low-Light Image Enhancement Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding

AAAI 2025 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding

AAAI 2025 DPLUT: Unsupervised Low-Light Image Enhancement with Lookup Tables and Diffusion Priors Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding

NeurIPS 2025 FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

IJCAI 2025 Frequency-Aware Deep Depth from Focus Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li

NeurIPS 2025 Pan-LUT: Efficient Pan-Sharpening via Learnable Look-up Tables Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, ZiXu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding

AAAI 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding

AAAI 2024 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang

ECCV 2020 Boundary Content Graph Neural Network for Temporal Action Proposal Generation Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu