| 2025 | CIKM | A Privacy-preserving Spatial Dataset Joinable Search in Cloud. | Zhengkai Zhang, Hua Dai, Hao Zhou, Mingfeng Jiang, Pengyue Li, Geng Yang |
| 2024 | CSCWD | KCPMA: k-degree Contact Pattern Mining Algorithms for Moving Objects. | You Chen, Hua Dai, Mingfeng Jiang, Qu Lu, Pengyue Li, Bohan Li, Geng Yang |
| 2024 | ECAI | Rethinking Domain Generalization from Perspective of Gradient Granularity. | Yujie Zhou, Haigen Hu, Qianwei Zhou, Qiu Guan, Mingfeng Jiang |
| 2024 | ICASSP | Efficient Posenet with Coarse to Fine Transformer. | Shaohua Li, Haixiang Zhang, Hanjie Ma, Jie Feng, Mingfeng Jiang |
| 2023 | CGI | A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images. | Qiuhui Yang, Hao Chen, Mingfeng Jiang, Mingwei Wang, Jiong Zhang, Yue Sun, Tao Tan |
| 2012 | ICNC | The combination of Self-Organizing Feature Maps and support vector regression for solving the inverse ECG problem. | Mingfeng Jiang, Jiafu Lv, Shanshan Jiang, Wenqing Huang, Li Cao |
| 2009 | ICNC | Choosing Near-Optimal Regularization Parameter for the Inverse Problem of Electrocardiography. | Guofa Shou, Dongdong Deng, Ling Xia, Mingfeng Jiang |
| 2007 | ICNC | Solving the Electrocardiography Inverse Problem by Using an Optimal Algorithm Based on the Total Least Squares Theory. | Guofa Shou, Ling Xia, Mingfeng Jiang |