Combining Local Binary Pattern and Local Phase Quantization for Face Recognition. - Baohua Yuan; Honggen Cao; Jiuliang Chu (ISBAST, 2012)

A Bayesian Compressive Data Gathering Scheme in Wireless Sensor Networks With One Mobile Sink. - Xiangping Gu; Xiaofeng Zhou; Baohua Yuan; Yanjing Sun (IEEE Access, 2018)

Explore double-opponency and skin color for saliency detection. - Baohua Yuan; Lixin Han; Hong Yan 001 (Neurocomputing, 2021)

Multi-deep features fusion for high-resolution remote sensing image scene classification. - Baohua Yuan; Lixin Han; Xiangping Gu; Hong Yan 001 (Neural Comput. Appl., 2021)

Computation of CNN's Sensitivity to Input Perturbation. - Lin Xiang; Xiaoqin Zeng; Shengli Wu 001; Yanjun Liu 004; Baohua Yuan (Neural Process. Lett., 2021)

An evaluation of deep neural network models for music classification using spectrograms. - Jingxian Li; Lixin Han; Xiaoshuang Li; Jun Zhu; Baohua Yuan; Zhinan Gou (Multim. Tools Appl., 2022)

Combined angular margin and cosine margin softmax loss for music classification based on spectrograms. - Jingxian Li; Lixin Han; Yang Wang; Baohua Yuan; Xiaofeng Yuan; Yi Yang 022; Hong Yan 001 (Neural Comput. Appl., 2022)

A No Parameter Synthetic Minority Oversampling Technique Based on Finch for Imbalanced Data. - Shoukun Xu; Zhibang Li; Baohua Yuan; Gaochao Yang; Xueyuan Wang; Ning Li (ICIC (4), 2023)

FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation. - Shoukun Xu; Dehao Xiao; Baohua Yuan; Yi Liu; Xueyuan Wang; Ning Li; Lin Shi; Jialu Chen; Ju-Xiao Zhang; Yanhao Wang; Jianfeng Cao; Yeqin Shao; et al. (Comput. Biol. Medicine, 2023)

RS-UNet: lightweight network with reflection suppression for floating objects segmentation. - Ning Li; Tingbo Zhang; Bo Li; Baohua Yuan; Shoukun Xu (Signal Image Video Process., 2023)

NSMA-Net: A Neighboring Slice and Modality-Aware Network for Multi-Modal Brain Tumor Segmentation. - Qile Qin; Baohua Yuan; Rui Tang; Dehao Xiao; Xudong Wu; Lin Shi (BIBM, 2024)

DPNet: A Dual-Path Network With Distance-Aware Attention for Medical Image Segmentation. - Shoukun Xu; Rui Tang; Qile Qin; Xudong Wu; Baohua Yuan (BIBM, 2024)

LB-UNet: Multi-Scale Fusion Lightweight Network with Boundary Enhancement for Water Segmentation. - Ning Li; Libo Wang; Gaochao Yang; Baohua Yuan; Bo Li (ISPA, 2024)

Multi-Scale and Multi-Network Deep Feature Fusion for Discriminative Scene Classification of High-Resolution Remote Sensing Images. - Baohua Yuan; Sukhjit Singh Sehra; Bernard Chiu (Remote. Sens., 2024)

CCFNet: Collaborative Cross-Fusion Network for Medical Image Segmentation. - Jialu Chen; Baohua Yuan (Algorithms, 2024)

DENS-YOLOv6: a small object detection model for garbage detection on water surface. - Ning Li; Mingliang Wang; Gaochao Yang; Bo Li; Baohua Yuan; Shoukun Xu (Multim. Tools Appl., 2024)

IE-collaborative attention for spatial feature refinement and boundary aware in real-time semantic segmentation. - Ning Li; Xudong Zhang; Bo Li; Baohua Yuan; Gaochao Yang (Neurocomputing, 2025)

CAFNet: Circular Attention Fusion for medical image segmentation. - Xudong Wu; Baohua Yuan; Ning Li; Lin Shi; Mingjie Jiang; Juxiao Zhang; Rui Tang; Qile Qin; Jin Ma; Shoukun Xu (Knowl. Based Syst., 2025)

Background suppression and comprehensive prototype pyramid distillation for few-shot object detection. - Ning Li; Mingliang Wang; Gaochao Yang; Bo Li; Baohua Yuan; Shoukun Xu; Jun Qi (Robotics Auton. Syst., 2025)

PAR-YOLO: a precise and real-time YOLO water surface garbage detection model. - Ning Li; Mingliang Wang; He Huang; Bo Li; Baohua Yuan; Shoukun Xu (Earth Sci. Informatics, 2025)

Enhanced YOLOv8 framework for precision vehicle detection in high-resolution remote sensing images. - Zhaowei Shao; Kunyu He; Baohua Yuan; Sheng Xu (Signal Image Video Process., 2025)

CMIT-Net: a cross-modal information transfer network for multi-modal brain tumor segmentation. - Shoukun Xu; Rui Tang; Jialu Chen; Baohua Yuan (Signal Image Video Process., 2025)