Yi Zeng

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 98

Top Venues

Publications

Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang
Brain-inspired and Self-based Artificial Intelligence. CoRR (2024)
Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. CoRR (2024)
Yang Li, Xiang He, Qingqun Kong, Yi Zeng
Spiking neural networks with consistent mapping relations allow high-accuracy inference. Inf. Sci. 677 (2024)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks 170 (2024)
Qian Zhang, Han Lu, Jihang Wang, Taoyi Yang, Weida Bi, Yi Zeng, Buwei Yu
Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study. Comput. Biol. Medicine 169 (2024)
Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng
Enhancing Spiking Transformers with Binary Attention Mechanisms. Tiny Papers @ ICLR (2024)
Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
Directly training temporal Spiking Neural Network with sparse surrogate gradient. Neural Networks 179 (2024)
Yang Li, Xiang He, Qingqun Kong, Yi Zeng
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference. CoRR (2024)
Linghao Feng, Dongcheng Zhao, Yi Zeng
Spiking generative adversarial network with attention scoring decoding. Neural Networks 178 (2024)
Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. AAAI (2024)
Linghao Feng, Dongcheng Zhao, Sicheng Shen, Yiting Dong, Guobin Shen, Yi Zeng
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation. CoRR (2024)
Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR (2024)
Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. CoRR (2024)
Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Comput. Appl. 36 (15) (2024)
Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. CoRR (2024)
Yiting Dong, Dongcheng Zhao, Yi Zeng
Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. IEEE Trans. Artif. Intell. 5 (7) (2024)
Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator. CoRR (2023)
Zhuoya Zhao, Feifei Zhao, Yuxuan Zhao, Yi Zeng, Yinqian Sun
A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition. Patterns 4 (8) (2023)
Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng
Brain-inspired Evolutionary Architectures for Spiking Neural Networks. CoRR (2023)
Yuwei Wang, Enmeng Lu, Zizhe Ruan, Yao Liang, Yi Zeng
STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng
Is Conventional SNN Really Efficient? A Perspective from Network Quantization. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR (2023)
Yuxuan Zhao, Enmeng Lu, Yi Zeng
Meet the authors: Yuxuan Zhao, Enmeng Lu, and Yi Zeng. Patterns 4 (12) (2023)
Yiting Dong, Dongcheng Zhao, Yi Zeng
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR (2023)
Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR (2023)
Zhuoya Zhao, Feifei Zhao, Shiwen Wang, Yinqian Sun, Yi Zeng
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation. CoRR (2023)
Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Patterns 4 (8) (2023)
Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Trans. Very Large Scale Integr. Syst. 31 (8) (2023)
Linghao Feng, Dongcheng Zhao, Yi Zeng
Spiking Generative Adversarial Network with Attention Scoring Decoding. CoRR (2023)
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. CoRR (2023)
Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS (2023)
Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks 165 (2023)
Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng
Dive into the Power of Neuronal Heterogeneity. CoRR (2023)
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. IJCAI (2023)
Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. CoRR (2023)
Guobin Shen, Dongcheng Zhao, Yi Zeng
EventMix: An efficient data augmentation strategy for event-based learning. Inf. Sci. 644 (2023)
Yinqian Sun, Yi Zeng, Feifei Zhao, Zhuoya Zhao
Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning. CoRR (2023)
Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks. CoRR (2023)
Yuxuan Zhao, Enmeng Lu, Yi Zeng
Brain-inspired bodily self-perception model for robot rubber hand illusion. Patterns 4 (12) (2023)
Feifei Zhao, Yi Zeng, Bo Xu
Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle. Frontiers Neurorobotics 16 (2022)
Jihang Wang, Dongcheng Zhao, Guobin Shen, Qian Zhang, Yi Zeng
DPSNN: A Differentially Private Spiking Neural Network. CoRR (2022)
Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR (2022)
Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. CoRR (2022)
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks. CoRR (2022)
Yang Li, Yi Zeng
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. IJCAI (2022)
Dongcheng Zhao, Yi Zeng, Yang Li
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks 154 (2022)
Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network. Patterns 3 (11) (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns 3 (6) (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR (2022)
Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. CoRR (2022)
Feifei Zhao, Yi Zeng, Jun Bai
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Comput. 34 (1) (2022)
Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. Inf. Sci. 610 (2022)
Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. CoRR (2022)
Guobin Shen, Dongcheng Zhao, Yi Zeng
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. CoRR (2021)
Hongjian Fang, Yi Zeng, Feifei Zhao
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. Frontiers Comput. Neurosci. 15 (2021)
Yi Zeng, Kang Sun, Enmeng Lu
Declaration on the ethics of brain-computer interfaces and augment intelligence. AI Ethics 1 (3) (2021)
Dongcheng Zhao, Yi Zeng, Yang Li
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR (2021)
Hongjian Fang, Yi Zeng
A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. IJCNN (2021)
Yang Li, Yi Zeng, Dongcheng Zhao
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR (2021)
Tielin Zhang, Yi Zeng, Ruihan Pan, Mengting Shi, Enmeng Lu
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. Cogn. Comput. 13 (2) (2021)
Feifei Zhao, Qingqun Kong, Yi Zeng, Bo Xu
A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE Trans. Cogn. Dev. Syst. 12 (1) (2020)
Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, Enmeng Lu
A Brain-Inspired Model of Theory of Mind. Frontiers Neurorobotics 14 (2020)
Mengting Shi, Tielin Zhang, Yi Zeng
A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers Comput. Neurosci. 14 (2020)
Tielin Zhang, Yang Yang, Yi Zeng, Yuxuan Zhao
Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. Cogn. Comput. 12 (4) (2020)
Mengting Shi, Tielin Zhang, Yi Zeng
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers Comput. Neurosci. 14 (2020)
Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, Feifei Zhao
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. Frontiers Comput. Neurosci. 14 (2020)
Yinqian Sun, Yi Zeng, Tielin Zhang
Quantum Superposition Spiking Neural Network. CoRR (2020)
Yuwei Wang, Yi Zeng, Jianbo Tang, Bo Xu
Biological Neuron Coding Inspired Binary Word Embeddings. Cogn. Comput. 11 (5) (2019)
Yi Zeng, Enmeng Lu, Yinqian Sun, Ruochen Tian
Responsible Facial Recognition and Beyond. CoRR (2019)
Dongcheng Zhao, Yi Zeng
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. IJCNN (2019)
Yi Zeng, Enmeng Lu, Cunqing Huangfu
Linking Artificial Intelligence Principles. SafeAI@AAAI (2019)
Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. IJCNN (2019)
Hongyin Zhu, Wenpeng Hu, Yi Zeng
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. NLPCC (2) (2019)
Hongyin Zhu, Wenpeng Hu, Yi Zeng
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. CoRR (2019)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI (2018)
Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. Cogn. Comput. 10 (2) (2018)
Yi Zeng, Guixiang Wang, Bo Xu
A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE Trans. Cogn. Dev. Syst. 10 (2) (2018)
Qingqun Kong, Jiuqi Han, Yi Zeng, Bo Xu
Efficient coding matters in the organization of the early visual system. Neural Networks 105 (2018)
Yi Zeng, Enmeng Lu, Cunqing Huangfu
Linking Artificial Intelligence Principles. CoRR (2018)
Feifei Zhao, Yi Zeng, Bo Xu
A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. Frontiers Neurorobotics 12 (2018)
Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu
A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. Cogn. Comput. 10 (2) (2018)
Xiaomei Kang, Qingqun Kong, Yi Zeng, Bo Xu
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. Frontiers Comput. Neurosci. 12 (2018)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
Brain-inspired Balanced Tuning for Spiking Neural Networks. IJCAI (2018)
Feifei Zhao, Tielin Zhang, Yi Zeng, Bo Xu
Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning. ICONIP (4) (2017)
Guang Qiao, Hongyue Du, Yi Zeng
A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. ISNN (1) (2017)
Yi Zeng, Tielin Zhang, Bo Xu
Improving multi-layer spiking neural networks by incorporating brain-inspired rules. Sci. China Inf. Sci. 60 (5) (2017)
Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu
Relation Inference and Type Identification Based on Brain Knowledge Graph. BIH (2016)
Xin Liu, Yi Zeng, Tielin Zhang, Bo Xu
Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform. Cogn. Comput. 8 (5) (2016)
Guixiang Wang, Yi Zeng, Bo Xu
A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making. BICS (2016)
Yuwei Wang, Yi Zeng, Bo Xu
SHTM: A neocortex-inspired algorithm for one-shot text generation. SMC (2016)
Yi Zeng, Feifei Zhao, Guixiang Wang, Lingyu Zhang, Bo Xu
Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway. BIH (2016)
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu
HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC (2016)
Yi Zeng, Dongsheng Wang, Hongyin Zhu
User Interests Analysis and Its Application on the Linked Brain Data Platform. BIH (2016)
Yi Zeng, Yuxuan Zhao, Jun Bai
Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition. BICS (2016)
Tielin Zhang, Yi Zeng, Bo Xu
HCNN: A Neural Network Model for Combining Local and Global Features Towards Human-Like Classification. Int. J. Pattern Recognit. Artif. Intell. 30 (1) (2016)
Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu
Brain Knowledge Graph Analysis Based on Complex Network Theory. BIH (2016)
Hongyin Zhu, Yi Zeng, Yiping Yang
Research topics variation analysis and prediction based on FARO and neural networks. SMC (2016)
Qingqun Kong, Yi Zeng, Qiulei Dong
Biologically inspired deep stereo model. ICIP (2015)
Jiuqi Han, Qingqun Kong, Yi Zeng, Hongwei Hao
HEVS: A hierarchical computational model for Early stages of the Visual System. IJCNN (2015)

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Publication Activity (10 Years)

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Yi Zeng