DFC-SNN: A New Approach for the Recognition of Brain States by Fusing Brain Dynamics and Spiking Neural Network. - Yan Cui 004; Wuque Cai; Tianyao Long; Hongze Sun; Dezhong Yao 001; Daqing Guo (HBAI@IJCAI, 2022)

Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion. - Hongze Sun; Rui Liu; Wuque Cai; Jun Wang 031; Yue Wang; Huajin Tang; Yan Cui 004; Dezhong Yao 001; Daqing Guo (Neural Networks, 2024)

A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks. - Hongze Sun; Wuque Cai; Baoxin Yang; Yan Cui 004; Yang Xia; Dezhong Yao 001; Daqing Guo (IEEE Trans. Cogn. Dev. Syst., 2024)

A Spatial-Channel-Temporal-Fused Attention for Spiking Neural Networks. - Wuque Cai; Hongze Sun; Rui Liu; Yan Cui 004; Jun Wang 031; Yang Xia; Dezhong Yao 001; Daqing Guo (IEEE Trans. Neural Networks Learn. Syst., 2024)

ST-FlowNet: An efficient Spiking Neural Network for event-based optical flow estimation. - Hongze Sun; Jun Wang 031; Wuque Cai; Duo Chen; Qianqian Liao; Jiayi He; Yan Cui 004; Dezhong Yao 001; Daqing Guo (Neural Networks, 2025)

A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders. - Qianqian Liao; Wuque Cai; Hongze Sun; Dongze Liu; Duo Chen; Dezhong Yao 001; Daqing Guo (CoRR, 2025)

Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation. - Hongze Sun; Wuque Cai; Duo Chen; Shifeng Mao; Jiayi He; Zhenxing Wang; Dezhong Yao 001; Daqing Guo (CoRR, 2025)