Non-contact capacitance sensing for continuous locomotion mode recognition: Design specifications and experiments with an amputee. - Enhao Zheng; Long Wang 001; Yimin Luo; Kunlin Wei; Qining Wang (ICORR, 2013)

Structured Convolutional Compressed Sensing Based on Deterministic Subsamplers. - Shu Wang; Zhongyuan Wang 001; Yimin Luo (PCM (1), 2017)

DEM Retrieval From Airborne LiDAR Point Clouds in Mountain Areas via Deep Neural Networks. - Yimin Luo; Hongchao Ma; Liguo Zhou (IEEE Geosci. Remote. Sens. Lett., 2017)

Video Satellite Imagery Super Resolution via Convolutional Neural Networks. - Yimin Luo; Liguo Zhou; Shu Wang; Zhongyuan Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

Improving Convolutional Neural Networks Via Compacting Features. - Liguo Zhou; Rong Zhu; Yimin Luo; Siwen Liu; Zhongyuan Wang 001 (ICASSP, 2018)

Coarse-to-Fine Image Super-Resolution Using Convolutional Neural Networks. - Liguo Zhou; Zhongyuan Wang 001; Shu Wang; Yimin Luo (MMM (2), 2018)

Dataset Refinement for Convolutional Neural Networks via Active Learning. - Siwen Liu; Rong Zhu; Yimin Luo; Zhongyuan Wang 001; Liguo Zhou (PCM (3), 2018)

Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures. - Yimin Luo; Daniel Toth 001; Kui Jiang; Kuberan Pushparajah; Kawal S. Rhode (STACOM@MICCAI, 2019)

Separability and Compactness Network for Image Recognition and Superresolution. - Liguo Zhou; Zhongyuan Wang 001; Yimin Luo; Zixiang Xiong (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-Scale Progressive Fusion Network for Single Image Deraining. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Baojin Huang; Yimin Luo; Jiayi Ma 001; Junjun Jiang (CVPR, 2020)

DEM Extraction from Airborne Lidar Point Cloud in Thick-Forested Areas via Convolutional Neural Network. - Yongjun Zhang 002; Sizhe Xiang; Yi Wan 001; Hui Cao; Yimin Luo; Zhi Zheng (IGARSS, 2020)

Laser-Induced Breakdown Spectroscopy-Based Coal-Rock Recognition: An in Situ Sampling and Recognition Method. - Cong Liu 022; Yimin Luo; Qizhi Zhang (IEEE Access, 2021)

MS-SLAM: Motion State Decision of Keyframes for UAV-Based Vision Localization. - Yimin Luo; Yong Li 028; Zhiteng Li; Feng Shuang 002 (IEEE Access, 2021)

Ultra-Dense Denoising Network: Application to Cardiac Catheter-Based X-Ray Procedures. - Yimin Luo; Sophie Majoe; Kui Jiang; Haikun Qi; Kuberan Pushparajah; Kawal S. Rhode (IEEE Trans. Biomed. Eng., 2021)

Cervical OCT Image Synthesis via Noise Adaptation Diffusion Models. - Yuxuan Xiong; Yimin Luo; Qian Tang; Yan Zhang 123; Bo Du 001 (BIBM, 2023)

A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. - Yuheng Fan; Hanxi Liao; Shiqi Huang; Yimin Luo; Huazhu Fu; Haikun Qi (CoRR, 2023)

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. - Ming Hu; Peng Xia 005; Lin Wang 027; Siyuan Yan; Feilong Tang; Zhongxing Xu; Yimin Luo; Kaimin Song; Jürgen Leitner; Xuelian Cheng; Jun Cheng; Chi Liu 002; et al. (ECCV (4), 2024)

An Online Two-Phase Workload Management Scheme for Collaborative Edge Computing System. - Jingyu Zhang; Zhennan Zhang; Yimin Luo; Shi Zhu; Fangliao Yang; Lailong Luo (MSN, 2024)

Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. - Yimin Luo; Qinyu Yang; Ziyi Liu 010; Zenglin Shi; Weimin Huang 002; Guoyan Zheng; Jun Cheng 003 (IEEE J. Biomed. Health Informatics, 2024)

Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis. - Yimin Luo; Qinyu Yang; Yuheng Fan; Haikun Qi; Menghan Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Anatomical Similarity as a New Metric to Evaluate Brain Generative Models. - Bahram Jafrasteh; Wei Peng 009; Cheng Wan; Yimin Luo; Ehsan Adeli 001; Qingyu Zhao (CoRR, 2025)