H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. - Along He; Kai Wang 001; Tao Li 022; Chengkun Du; Shuang Xia; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks. - Zhengxian Lu; Chengkun Du; Xueshuo Xie; Qiankun Dong; Cheng Gong; Tao Li 022 (IJCNN, 2024)

Quantitative evaluation of deep learning frameworks in heterogeneous computing environment. - Zhengxian Lu; Chengkun Du; Yanfeng Jiang; Xueshuo Xie; Tao Li 022; Fei Yang (CCF Trans. High Perform. Comput., 2024)

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks. - Cheng Gong; Ye Lu 004; Surong Dai; Deng Qian; Chengkun Du; Tao Li 022 (J. Comput. Sci. Technol., 2024)

Spatio-temporal graph Bert network for EEG emotion recognition. - Jingjie Yan; Chengkun Du; Na Li; Xiaoyang Zhou; Ying Liu; Jinsheng Wei; Yuan Yang (Biomed. Signal Process. Control., 2025)

Cross-database facial expression recognition based on Multi-feature Representation Multi-layer Domain Adaptive Fusion Network. - Jingjie Yan; Chengkun Du; Biao Li; Xiaoyang Zhou; Ying Liu (Eng. Appl. Artif. Intell., 2025)