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Huajin Tang

  1. Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
    2023/04/12 by Qi Xu, Xu, Qi, Yaxin Li +9 · 12 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  2. ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
    2023/06/06 by Jiangrong Shen, Shen, Jiangrong, Qi Xu +9 · 6 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Ferroelectric and Negative Capacitance Devices
  3. Trainable Spiking-YOLO for low-latency and high-performance object detection
    2023/12/27 by Mengwen Yuan, Chengjun Zhang, Ziming Wang +3 · 6 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
  4. Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
    2023/06/21 by Jinye Qu, Qu, Jinye, Zeyu Gao +9 · 5 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE)
  5. EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
    2024/03/19 by Ziming Wang, Ziling Wang, Wang, Ziming +11 · 5 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  6. Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
    2024/08/19 by Yangfan Hu, Hu, Yangfan, Zheng Qian +7 · 4 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural dynamics and brain function
  7. Spiking Deep Residual Network
    2018/04/28 by Yangfan Hu, Huajin Tang, Hu, Yangfan +3 · 1 citation
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Physical Unclonable Functions (PUFs) and Hardware Security
  8. Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
    2019/02/04 by Qiang Yu, Yu, Qiang, Yanli Yao +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Animal Vocal Communication and Behavior #FOS: Computer and information sciences #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE) #Neuroscience and Music Perception
  9. Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
    2025/02/13 by Chenxiang Ma, Xinyi Chen, Ma, Chenxiang +17 · 4 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  10. Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding
    2023/08/29 by Xinyi Chen, Chen, Xinyi, Jibin Wu +7 · 2 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  11. Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks
    2023/04/19 by Qi Xu, Yaxin Li, Xu, Qi +11 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  12. ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
    2024/12/17 by Wenyao Ni, Ni, Wenyao, Jiangrong Shen +5 · 2 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Applications
  13. Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model
    2024/10/21 by Shibo Zhou, Bo Yang, Zhou, Shibo +11 · 2 citations
    Computer Science · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Text and Document Classification Technologies
  14. EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting
    2025/04/14 by Yufei Deng, Yuanjian Wang, Deng, Yufei +14 · 2 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods
  15. Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
    2025/05/12 by Qi Xu, Jie Deng, Xu, Qi +9 · 2 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #EEG and Brain-Computer Interfaces