Zhizhe Lin

According to our database, Zhizhe Lin authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting.

Zequan Li, Jinglin Zhou, Zhizhe Lin, Teng Zhou

Knowl. Based Syst., 2024

Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening.

Youyi Song, Ao Zhang, Jinglin Zhou, Yu Luo, Zhizhe Lin, Teng Zhou

Artif. Intell. Medicine, 2024

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

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

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2022

PSFNet: A Deep Learning Network for Fake Passport Detection.

Jiafeng Xu, Dawei Jia, Zhizhe Lin, Teng Zhou

IEEE Access, 2022

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

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

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

Neurocomputing, 2017

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

Comput. Biol. Medicine, 2017