Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning. - Xiang Cheng; Tielin Zhang; Shuncheng Jia; Bo Xu 002 (CoRR, 2020)

Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning. - Duzhen Zhang; Tielin Zhang; Shuncheng Jia; Xiang Cheng; Bo Xu 002 (CoRR, 2021)

Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning. - Duzhen Zhang; Tielin Zhang; Shuncheng Jia; Bo Xu 002 (AAAI, 2022)

Motif-Topology and Reward-Learning Improved Spiking Neural Network for Efficient Multi-Sensory Integration. - Shuncheng Jia; Ruichen Zuo; Tielin Zhang; Hongxing Liu; Bo Xu 002 (ICASSP, 2022)

Recent Advances and New Frontiers in Spiking Neural Networks. - Duzhen Zhang; Tielin Zhang; Shuncheng Jia; Qingyu Wang; Bo Xu 002 (IJCAI, 2022)

Motif-topology improved Spiking Neural Network for the Cocktail Party Effect and McGurk Effect. - Shuncheng Jia; Tielin Zhang; Ruichen Zuo; Bo Xu 002 (CoRR, 2022)

Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation. - Tielin Zhang; Shuncheng Jia; Xiang Cheng; Bo Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Meta neurons improve spiking neural networks for efficient spatio-temporal learning. - Xiang Cheng; Tielin Zhang; Shuncheng Jia; Bo Xu 002 (Neurocomputing, 2023)

Tuning Synaptic Connections Instead of Weights by Genetic Algorithm in Spiking Policy Network. - Duzhen Zhang; Tielin Zhang; Shuncheng Jia; Qingyu Wang; Bo Xu 002 (Mach. Intell. Res., 2024)

Revisiting Continual Semantic Segmentation with Pre-trained Vision Models. - Duzhen Zhang; Yong Ren; Wei Cong; Junhao Zheng; Qiaoyi Su; Shuncheng Jia; Zhong-Zhi Li; Xuanle Zhao; Ye Bai; Feilong Chen; Qi Tian 001; Tielin Zhang (CoRR, 2025)

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph. - Duzhen Zhang; Zixiao Wang; Zhong-Zhi Li; Yahan Yu; Shuncheng Jia; Jiahua Dong 001; Haotian Xu; Xing Wu; Yingying Zhang; Tielin Zhang; Jie Yang; Xiuying Chen; et al. (CoRR, 2025)