| 2024 | ICASSP | Flattening Singular Values of Factorized Convolution for Medical Images. | Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng, Jiang Liu |
| 2023 | ICDM | Concordance Learning with Spectral Decay on Triplet Similarity. | Jiansheng Fang, Jiajian Li |
| 2022 | MICCAI | Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy. | Jiansheng Fang, Anwei Li, Pu-Yun OuYang, Jiajian Li, Jingwen Wang, Hongbo Liu, Fang-Yun Xie, Jiang Liu |
| 2022 | MICCAI | Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans. | Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu |
| 2020 | ICPR | Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference. | Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu |
| 2020 | SMC | A Novel Deep Learning Method for Nuclear Cataract Classification Based on Anterior Segment Optical Coherence Tomography Images. | Xiaoqing Zhang, Zunjie Xiao, Risa Higashita, Wan Chen, Jin Yuan, Jiansheng Fang, Yan Hu, Jiang Liu |
| 2019 | ICDM | Exercise Difficulty Prediction in Online Education Systems. | Jiansheng Fang, Wei Zhao, Dongya Jia |
| 2019 | MICCAI | An Ensemble Neural Network for Multi-label Classification of Electrocardiogram. | Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang |