Hengtao Zhang

According to our database, Hengtao Zhang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

CT-based deep learning radiomics model for predicting proliferative hepatocellular carcinoma: application in transarterial chemoembolization and radiofrequency ablation.

Hengtao Zhang, Zhaogang Zhang, Kun Zhang, Zhongsong Gao, Zhiwei Shen, Wen Shen

BMC Medical Imaging, December, 2025

2024

A Sequential Stein's Method for Faster Training of Additive Index Models.

Hengtao Zhang, Zebin Yang, Agus Sudjianto, Aijun Zhang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

2022

Balance-Subsampled Stable Prediction Across Unknown Test Data.

Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang

ACM Trans. Knowl. Discov. Data, 2022

2021

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

Neural Networks, 2021

2020

Adaptive iterative Hessian sketch via A-optimal subsampling.

Aijun Zhang, Hengtao Zhang, Guosheng Yin

Stat. Comput., 2020

Balance-Subsampled Stable Prediction.

Kun Kuang, Hengtao Zhang, Fei Wu, Yueting Zhuang, Aijun Zhang

CoRR, 2020

An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

CoRR, 2020