| 2024 | IJCNN | Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction. | Zixin Zhong, Liyan Song, Fengzhen Tang, Bo Yuan |
| 2023 | IJCNN | Prototype based linear sub-manifold learning. | Mengling Fan, Fengzhen Tang, Xingang Zhao |
| 2019 | IJCNN | Unsupervised Feature Learning for Visual Place Recognition in Changing Environments. | Dongye Zhao, Bailu Si, Fengzhen Tang |
| 2017 | ICRA | A prey-predator model for efficient robot tracking. | Fengzhen Tang, Bailu Si, Daxiong Ji |
| 2015 | IJCAI | Model Metric Co-Learning for Time Series Classification. | Huanhuan Chen, Fengzhen Tang, Peter Tio, Anthony G. Cohn, Xin Yao |
| 2014 | ESANN | Support Vector Ordinal Regression using Privileged Information. | Fengzhen Tang, Peter Tio, Pedro Antonio Gutirrez, Huanhuan Chen |
| 2014 | IJCNN | Learning the deterministically constructed Echo State Networks. | Fengzhen Tang, Peter Tio, Huanhuan Chen |
| 2013 | KDD | Model-based kernel for efficient time series analysis. | Huanhuan Chen, Fengzhen Tang, Peter Tio, Xin Yao |
| 2010 | ICARCV | Liver cancer identification based on PSO-SVM model. | Huiyan Jiang, Fengzhen Tang, Xiyue Zhang |