Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. - Teng Zhou; Guoqiang Han; Bing Nan Li; Zhizhe Lin; Edward J. Ciaccio; Peter H. R. Green; Jing Qin 001 (Comput. Biol. Medicine, 2017)

δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. - Teng Zhou; Guoqiang Han; Xuemiao Xu; Zhizhe Lin; Chu Han; Yuchang Huang; Jing Qin 001 (Neurocomputing, 2017)

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting. - Shiqiang Zheng; Shuangyi Zhang; Youyi Song; Zhizhe Lin; Dazhi Jiang; Teng Zhou (Complex., 2021)

Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus by Deep Learning Enhanced Magnetic Resonance Spectroscopy. - Xin Li; Lu Bai; Zuhao Ge; Zhizhe Lin; Xi Yang; Teng Zhou (J. Medical Imaging Health Informatics, 2021)

PSFNet: A Deep Learning Network for Fake Passport Detection. - Jiafeng Xu; Dawei Jia; Zhizhe Lin; Teng Zhou (IEEE Access, 2022)

SAE-SV: A Stacked-AutoEncoder and Soft Voting Joint Approach Based on Small Dataset with High Dimensions for Inhibitory Potency Prediction. - Haotian Zhang; Xiaoguang Ma; Zhizhe Lin (ISAIMS, 2023)

Error-distribution-free kernel extreme learning machine for traffic flow forecasting. - Keer Wu; Changhong Xu; Jingwen Yan; Fei Wang; Zhizhe Lin; Teng Zhou (Eng. Appl. Artif. Intell., 2023)

Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening. - Youyi Song; Ao Zhang; Jinglin Zhou; Yu Luo 004; Zhizhe Lin; Teng Zhou (Artif. Intell. Medicine, 2024)

Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting. - Zequan Li; Jinglin Zhou; Zhizhe Lin; Teng Zhou (Knowl. Based Syst., 2024)

A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting. - Guanru Tan; Teng Zhou; Boyu Huang; Haowen Dou; Youyi Song; Zhizhe Lin (Soft Comput., 2024)

Two-way heterogeneity model for dynamic spatiotemporal traffic flow prediction. - Heng Zhang; Zhizhe Lin; Hai Xie; Jinglin Zhou; Youyi Song; Teng Zhou (Knowl. Based Syst., 2025)

Multi-Scale Cross-Dimensional Attention Network for Gland Segmentation. - Chaozhi Yu; Hongnan Cheng; Yufei Huang 019; Zhizhe Lin; Teng Zhou (IEEE Signal Process. Lett., 2025)

Learning From AI-Generated Annotations for Medical Image Segmentation. - Youyi Song; Yuanlin Liu; Zhizhe Lin; Jinglin Zhou; Duo Li; Teng Zhou; Man-Fai Leung (IEEE Trans. Consumer Electron., 2025)

JointSTNet: Joint Pre-Training for Spatial-Temporal Traffic Forecasting. - Danqi Cai; Kunwei Chen; Zhizhe Lin; Duo Li; Teng Zhou; Man-Fai Leung (IEEE Trans. Consumer Electron., 2025)

MSACN-LSTM: A multivariate time series prediction hybrid network model for extracting spatial features at multiple time scales. - Chuxin Cao; Man Wu; Zhizhe Lin; Jianhong Huang (Int. J. Mach. Learn. Cybern., 2025)