| 2023 | CVPR | Class Adaptive Network Calibration. | Bingyuan Liu, Jrme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed |
| 2023 | MICCAI | Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. | Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz |
| 2022 | CVPR | The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. | Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz |
| 2020 | ICPR | Improving Neural Network Robustness Through Neighborhood Preserving Layers. | Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus |
| 2014 | ACCV | Image Representation Learning by Deep Appearance and Spatial Coding. | Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu |
| 2014 | ACCV | Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. | Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu |
| 2014 | ICPR | Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. | Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu |
| 2013 | ICIG | Robust Feature Encoding with Neighborhood Information for Image Classification. | Bingyuan Liu, Jing Liu, Chunjie Zhang, Maolin Chen, Hanqing Lu |