Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data. - Onur Barut; Li Zhou 014; Yan Luo 001 (IEEE Internet Things J., 2020)

Deep Features Fusion with Mutual Attention Transformer for Skin Lesion Diagnosis. - Li Zhou 014; Yan Luo 001 (ICIP, 2021)

Prediction of pediatric activity intensity with wearable sensors and bi-directional LSTM models. - Li Zhou 014; Xiao Qu; Ting Zhang; Jianxin Wu; Hao Yin; Hongyan Guan; Yan Luo 001 (Pattern Recognit. Lett., 2021)

A Spatio-temporal Learning for Music Conditioned Dance Generation. - Li Zhou 014; Yan Luo 001 (ICMI, 2022)

LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising. - Dayang Wang; Yongshun Xu; Shuo Han 009; Zhan Wu; Li Zhou 014; Bahareh Morovati; Hengyong Yu (CoRR, 2023)

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising. - Li Zhou 014; Dayang Wang; Yongshun Xu; Shuo Han 009; Bahareh Morovati; Shuyi Fan; Hengyong Yu (MICCAI (12), 2024)

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction. - Li Zhou 014; Changsheng Fang; Bahareh Morovati; Yongtong Liu; Shuo Han 009; Yongshun Xu; Hengyong Yu (CoRR, 2024)

LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising. - Dayang Wang; Shuo Han 009; Yongshun Xu; Zhan Wu; Li Zhou 014; Bahareh Morovati; Hengyong Yu (IEEE J. Biomed. Health Informatics, 2024)

Photon-Counting CT Reconstruction Using Separable Attention-Based Tensor Neural Network Prior. - Bahareh Morovati; Shuo Han 009; Li Zhou 014; Dayang Wang; Hengyong Yu (ISBI, 2025)

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction. - Changsheng Fang; Yongtong Liu; Bahareh Morovati; Shuo Han 009; Yu Shi; Li Zhou 014; Shuyi Fan; Hengyong Yu (CoRR, 2025)