Far-Infrared Object Segmentation Focus on Transmission of Overall Semantic Information. - Ying Zang; Bo Yu 013; Longjiao Yu; Dongsheng Yang 006; Qingshan Liu (IEEE Access, 2020)

Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. - Yunke Zhang; Zhiwei Yang 005; Bo Yu 013; Hechang Chen; Yang Li 030; Xuehua Zhao (KSEM, 2021)

Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology Image Classification. - Peng Yin; Bo Yu 013; Chengwei Jiang; Hechang Chen (IPTA, 2022)

LAM: Lightweight Attention Module. - Qiwei Ji; Bo Yu 013; Zhiwei Yang 005; Hechang Chen (KSEM (2), 2022)

Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides. - Bo Yu 013; Hechang Chen; Yunke Zhang; Lele Cong; Shuchao Pang; Hongren Zhou; Ziye Wang; Xianling Cong (Knowl. Based Syst., 2023)

Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear. - Bo Yu 013; Peng Yin; Hechang Chen; Yifei Wang; Yu Zhao; Xianling Cong; Jouke Dijkstra; Lele Cong (Knowl. Based Syst., 2023)

Lightweight seatbelt detection algorithm for mobile device. - Ying Zang; Bo Yu 013; Shuguang Zhao (Multim. Tools Appl., 2023)

Multi-scale sequential feature selection for disease classification using Raman spectroscopy data. - Yue Wei; Hechang Chen; Bo Yu 013; Chengyou Jia; Xianling Cong; Lele Cong (Comput. Biol. Medicine, 2023)

Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history. - Bo Yu 013; Hechang Chen; Chengyou Jia; Hongren Zhou; Lele Cong; Xiankai Li; Jianhui Zhuang; Xianling Cong (Expert Syst. Appl., 2023)

Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT. - Jingnan Jia; Bo Yu 013; Prerak Mody; Maarten K. Ninaber; Anne A. Schouffoer; Jeska K. De Vries-Bouwstra; Lucia J. M. Kroft; Marius Staring; Berend C. Stoel (Comput. Biol. Medicine, 2024)

Generalized multi-agent competitive reinforcement learning with differential augmentation. - Tianyi Liu; Hechang Chen; Jifeng Hu; Zhejian Yang; Bo Yu 013; Xinqi Du; Yinxiao Miao; Yi Chang 001 (Expert Syst. Appl., 2024)

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. - Hongren Zhou; Hechang Chen; Bo Yu 013; Shuchao Pang; Xianling Cong; Lele Cong (Expert Syst. Appl., 2024)

A Flexible Diffusion Convolution for Graph Neural Networks. - Songwei Zhao; Bo Yu 013; Kang Yang; Sinuo Zhang; Jifeng Hu; Yuan Jiang 007; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)