Field Support Vector Regression. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012 (ICONIP (1), 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 Machines. - Kaizhu Huang; Haochuan Jiang; Xu-Yao Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Style Neutralization Generative Adversarial Classifier. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (BICS, 2018)

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. - Haochuan Jiang; Guanyu Yang 002; Kaizhu Huang; Rui Zhang 012 (ICONIP (5), 2018)

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 (DART/DCL@MICCAI, 2020)

Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. - Haochuan Jiang; Chengjia Wang; Agisilaos Chartsias; Sotirios A. Tsaftaris (MyoPS@MICCAI, 2020)

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. - Fajie Yuan; Xiangnan He 001; Haochuan Jiang; Guibing Guo; Jian Xiong; Zhezhao Xu; Yilin Xiong (WWW, 2020)

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. - Haochuan Jiang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2021)

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. - Tianyi Liu; Size Hou; Jiayuan Zhu; Zilong Zhao; Haochuan Jiang (LAScarQS@MICCAI, 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 (RiTA, 2022)

Generalized W-Net: Arbitrary-Style Chinese Character Synthesization. - Haochuan Jiang; Guanyu Yang 002; Fei Cheng; Kaizhu Huang (BICS, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 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 008; Yufei Tang; Zhongyi Wu; Yujin Qi; Haochuan Jiang; Jian Zheng 001; Benjamin M. W. Tsui (IEEE Trans. Medical Imaging, 2023)

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. - Tianyi Liu; Zhaorui Tan; Haochuan Jiang; Xi Yang 008; Kaizhu Huang (BIBM, 2024)

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets. - Tianyi Liu; Zhaorui Tan; Kaizhu Huang; Haochuan Jiang (CoRR, 2024)

MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment. - Tianyi Liu; Zhaorui Tan; Muyin Chen; Xi Yang 008; Haochuan Jiang; Kaizhu Huang (CoRR, 2024)

KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities. - Tianyi Liu; Haochuan Jiang; Kaizhu Huang (CVPR, 2025)

Leveraging Graph Neural Networks in Transferring Multimodal Knowledge for Unimodal Segmentation. - Tianyi Liu; Jiongshu Wang; Haochuan Jiang; Kaizhu Huang (ISBI, 2025)

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets. - Tianyi Liu; Zhaorui Tan; Haochuan Jiang; Kaizhu Huang (Neural Networks, 2025)