An Adaptive Convolution Auto-encoder Based on Spiking Neurons. - Chuanmeng Zhu; Jiaqiang Jiang; Runhao Jiang; Rui Yan 005 (ICONIP (2), 2022)

Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. - Jinze Wang; Jiaqiang Jiang; Shuang Lian; Rui Yan 005 (ICONIP (7), 2023)

A Time-Surface Enhancement Model for Event-based Spatiotemporal Feature Extraction. - Haohui Ding; Jiaqiang Jiang; Rui Yan (IJCNN, 2024)

Spike LPR: A Spiking Neural Network for Energy-Efficient LiDAR-Based Place Recognition via Spatiotemporal Sequential Fusion. - Ziqiang Li; Jiaqiang Jiang; Jing Fan; Rui Yan (ICIC (11), 2025)

Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. - Jiaqiang Jiang; Haohui Ding; Haixia Wang 002; Rui Yan 005 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. - Jiaqiang Jiang; Lei Wang; Runhao Jiang; Jing Fan; Rui Yan 005 (CoRR, 2025)