BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. - Yang Li 141; Yi Zeng 001; Dongcheng Zhao (CoRR, 2021)

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. - Yang Li 141; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2021)

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. - Yang Li 141; Yi Zeng 001 (IJCAI, 2022)

Experience: adopting indoor outdoor detection in on-demand food delivery business. - Pengfei Zhou; Yi Ding 011; Yang Li 141; Mo Li 001; Guobin Shen; Tian He 001 (MobiCom, 2022)

Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization. - Yinqian Sun; Yi Zeng 001; Yang Li 141 (CoRR, 2022)

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. - Yang Li 141; Xiang He 004; Yiting Dong; Qingqun Kong; Yi Zeng 001 (CoRR, 2022)

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (CoRR, 2022)

Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. - Dongcheng Zhao; Yang Li 141; Yi Zeng 001; Jihang Wang; Qian Zhang 080 (Inf. Sci., 2022)

BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. - Dongcheng Zhao; Yi Zeng 001; Yang Li 141 (Neural Networks, 2022)

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (NeurIPS, 2023)

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

Dive into the Power of Neuronal Heterogeneity. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Yi Zeng 001 (CoRR, 2023)

Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (CoRR, 2023)

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Feifei Zhao; Yi Zeng 001 (CoRR, 2023)

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Jindong Li 001; Kang Sun; Yi Zeng 001 (CoRR, 2023)

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (Neural Networks, 2023)

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. - Yi Zeng 001; Dongcheng Zhao; Feifei Zhao; Guobin Shen; Yiting Dong; Enmeng Lu; Qian Zhang 080; Yinqian Sun; Qian Liang; Yuxuan Zhao 002; Zhuoya Zhao; Hongjian Fang; et al. (Patterns, 2023)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (AAAI, 2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (IJCNN, 2024)

CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. - Xiang He 004; Xiangxi Liu; Yang Li 141; Dongcheng Zhao; Guobin Shen; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (ACM Multimedia, 2024)

Efficient Training Spiking Neural Networks with Parallel Spiking Unit. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2024)

Brain-inspired and Self-based Artificial Intelligence. - Yi Zeng 001; Feifei Zhao; Yuxuan Zhao 002; Dongcheng Zhao; Enmeng Lu; Qian Zhang 080; Yuwei Wang; Hui Feng; Zhuoya Zhao; Jihang Wang; Qingqun Kong; Yinqian Sun; et al. (CoRR, 2024)

Spiking neural networks with consistent mapping relations allow high-accuracy inference. - Yang Li 141; Xiang He 004; Qingqun Kong; Yi Zeng 001 (Inf. Sci., 2024)

Directly training temporal Spiking Neural Network with sparse surrogate gradient. - Yang Li 141; Feifei Zhao; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (Neural Comput. Appl., 2024)

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. - Yiting Dong; Xiang He 004; Guobin Shen; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (AAAI, 2025)

Similarity-based context aware continual learning for spiking neural networks. - Bing Han 010; Feifei Zhao; Yang Li 141; Qingqun Kong; Xianqi Li; Yi Zeng 001 (Neural Networks, 2025)

Improving stability and performance of spiking neural networks through enhancing temporal consistency. - Dongcheng Zhao; Guobin Shen; Yiting Dong; Yang Li 141; Yi Zeng 001 (Pattern Recognit., 2025)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (CoRR, 2025)