| 2023 | ICIG | Image Super-Resolution via Deep Dictionary Learning. | Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li |
| 2021 | MICCAI | Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. | Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu |
| 2021 | MICCAI | Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. | Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu |
| 2020 | MICCAI | Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. | Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu |
| 2019 | MICCAI | Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. | Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu |
| 2019 | MICCAI | Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. | Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu |
| 2018 | MICCAI | Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. | Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen |
| 2017 | MICCAI | Multimodal Hyper-connectivity Networks for MCI Classification. | Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2016 | MICCAI | Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. | Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang |
| 2014 | ICDM | Combining Multiple Network Features for Mild Cognitive Impairment Classification. | Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang |
| 2014 | MICCAI | Brain Connectivity Hyper-Network for MCI Classification. | Biao Jie, Dinggang Shen, Daoqiang Zhang |
| 2013 | MICCAI | Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. | Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen |
| 2013 | MICCAI | Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. | Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen |
| 2013 | MICCAI | Integrating Multiple Network Properties for MCI Identification. | Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen |
| 2013 | MICCAI | Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. | Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen |
| 2012 | MICCAI | Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. | Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen |