| 2026 | AAAI | Spontaneous Yet Predictable: Shapelet-Driven, Channel-Aware Intention Decoding from Multi-Region ECoG. | Keren Cao, Yuhang Tian, Kaizhong Zheng, Wei Xi, Xinjian Li, Liangjun Chen |
| 2026 | AAAI | Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning. | Jie Hou, Haowen Dou, Lujuan Dang, Liangjun Chen, Chenyang Ge |
| 2021 | MICCAI | Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. | Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li |
| 2021 | MICCAI | Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. | Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li |
| 2021 | MICCAI | Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. | Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li |
| 2020 | MICCAI | A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. | Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2016 | IJCNN | Generalized correntropy induced loss function for deep learning. | Liangjun Chen, Hua Qu, Ji-hong Zhao |