Bingtao Ma, Yang Cong, Yu Ren, IOSL: Incremental Open Set Learning,  pages: 2235-2248, IEEE TCSVT, 2023【PDF】

Haibin Yu, Yang Cong, Gan Sun, Dongdong Hou, Yuyang Liu, Jiahua Dong, Open-Ended Online Learning for Autonomous Visual Perception, IEEE TNNLS, 2023【PDF】

Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong, Self-paced Weight Consolidation for Continual Learning, IEEE TCSVT, 2023【PDF】

Bingtao Ma, Yang Cong, Jiahua Dong, Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning, IEEE TSMCS, 2023【PDF】

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu, Inor-net: Incremental 3-d object recognition network for point cloud representation, IEEE TNNLS, 2023【PDF】

Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding, Gradient-Semantic Compensation for Incremental Semantic Segmentation, IEEE TMM, 2023【PDF】

Bingtao Ma, Yang Cong, Angular Penalty for Few-Shot Incremental 3D Object Learning, IJCNN 2023【PDF】

Yu Ren, Ronghan Chen, Yang Cong, Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration, pp 17069-17078, CVPR 2023【PDF】

Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer, Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection, pp 11367-11377, ICCV 2023【PDF】

Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun, Heterogeneous forgetting compensation for class-incremental learning, pp 11742-11751, ICCV 2023【PDF】

Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai, Federated Incremental Semantic Segmentation, pp 3934-3943, CVPR 2023【PDF】