Haochuan Jiang

According to our database, Haochuan Jiang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets.

Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang

CoRR, 2024

2023

Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning.

Ming Li, Jiping Wang, Yang Chen, Yufei Tang, Zhongyi Wu, Yujin Qi, Haochuan Jiang, Jian Zheng, Benjamin M. W. Tsui

IEEE Trans. Medical Imaging, September, 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.

Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang

Medical Image Anal., 2023

2022

The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation.

Lim Shi Xuen, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Jessnor Arif Mat-Jizat, Edmund Yuen, Haochuan Jiang, Eng Hwa Yap, Anwar P. P. Abdul Majeed

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners.

Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

2021

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net.

Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain

Cogn. Comput., 2021

2020

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.

Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling.

Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Semi-supervised Pathology Segmentation with Disentangled Representations.

Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.

Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Style Neutralization Generative Adversarial Classifier.

Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017

Field Support Vector Machines.

Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance.

Jieming Ma, Haochuan Jiang, Kaizhu Huang, Ziqiang Bi, Ka Lok Man

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Field Support Vector Regression.

Haochuan Jiang, Kaizhu Huang, Rui Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017