| 2024 | IJCNN | Depressive Disorders Recognition by Functional Connectivity Using Graph Convolutional Network Based on EEG Microstates. | Yun Su, Qi Cai, Qi Chang, Yueyang Zhou, Runhe Huang |
| 2024 | IJCNN | EEG-based Emotion Recognition Using Temporal Convolutional Network and Vision Transformer. | Yun Su, Yueyang Zhou, Xuan Li, Qi Cai, Yishan Liu |
| 2023 | ICLR | Message-passing Selection: Towards Interpretable GNNs for Graph Classification. | Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su |
| 2023 | ISCC | Semi-supervised Multivariate Time Series Classification by Subsample Correlation Prediction. | Yun Su |
| 2023 | KDD | Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. | Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song |
| 2021 | IROS | GR-Fusion: Multi-sensor Fusion SLAM for Ground Robots with High Robustness and Low Drift. | Ting Wang, Yun Su, Shiliang Shao, Chen Yao, Zhidong Wang |
| 2020 | ICONIP | An Overlapping Community Detection with Subspaces on Double-Views. | Yang Chang, Huifang Ma, Yun Su, Zhixin Li |
| 2020 | IROS | GR-SLAM: Vision-Based Sensor Fusion SLAM for Ground Robots on Complex Terrain. | Yun Su, Ting Wang, Chen Yao, Shiliang Shao, Zhidong Wang |
| 2018 | ICPRAM | Electricity Consumption Model Analysis based on Sparse Principal Components. | Bo Yao, Yiming Xu, Yue Pang, Chaoyi Jin, Zijing Tan, Xiangdong Zhou, Yun Su |
| 2015 | PAKDD | Nearest Neighbor Method Based on Local Distribution for Classification. | Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang |