个人邮箱：haibingwang@cqu.edu.cn

      王海冰，2020年6月毕业于广西大学计算机与电子信息学院获得工学学士学位，2023年6月毕业于重庆大学微电子与通信工程学院获得工学硕士学位，2023年9月将于重庆大学微电子与通信工程学院开始攻读博士学位。目前研究兴趣方向为面向物端智能应用的脉冲神经网络算法研究和神经形态类脑芯片设计，共参与4项国家和省部级科研课题。荣获2022年硕士研究生国家奖学金。已发表学术论文10篇，公开发明专利9项。

发表论文

  1. MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning/Inference
        Zhengqing Zhong, Haibing Wang, Mingju Chen, Yingcheng Lin, Min Tian, Tengxiao Wang, Liyuan Liu, Cong Shi*. IEEE Transactions On Circuits and Systems Part II: Express Briefs, 2024, 72(1), 293 – 297（SCI, 2区）

  2. A Visual Cortex-Inspired Edge Neuromorphic Hardware Architecture With On-Chip Multi-Layer STDP Learning
        Junxian He, Min Tian, Ying Jiang, Haibing Wang, Tengxiao Wang, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Ying Wang, Cong Shi*. Computers and Electrical Engineering, 2024, 120:109806.（SCI, 1区）

  3. NeuroCam: A Neuromorphic Intelligent CameraSystem for Face Recognition
        Jialin Yang, Haibing Wang*, Zhengging Zhong, Mingju Chen, Ying Jiang, Cong Shi. 2024 4th International Conference on Intelligent Technology and Embedded Systems (ICITES), September 20-23, 2024, Chengdu, China.

  4. MorphBungee: A 65-nm 7.2-mm2 27-μJ/image Digital Edge Neuromorphic Chip with On-Chip 802-frame/s Multi-Layer Spiking Neural Network Learning
        Tengxiao Wang, Min Tian, Haibing Wang, Zhengqing Zhong, Junxian He, Fang Tang, Xichuan Zhou, Yingcheng Lin, Shuang-Ming Yu, Liyuan Liu, Cong Shi*. IEEE Transactions on Biomedical Circuits and Systems, 2024, doi: 10.1109/TBCAS.2024.3412908 (Early Access)（SCI，1区）

  5. Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine with On-Chip Learning
        Cong Shi, Xiang Fu, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian*. IEEE Transactions on Circuits and Systems II: Express Briefs:  2024, 71(10), 4526-4530.（SCI，2区）

  6. NORP: A Compact Neuromorphic Olfactory Recognition Processor with On-Chip Hybrid Learning
         Cong Shi, Yuxuan Wang, Fengchun Tian, Xiang Fu, Haibing Wang, Jingya Zhang, Haoran Gao, Shukai Duan, Lidan Wang, Min Tian*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA), 2023, 31-32.

  7. An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips
         Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian*. IEEE Transactions on Circuits and Systems I: Regular Papers: 2023, 70(11), 4249-4259.（SCI，1区）

  8. MorphBungee: A 65nm 7.2mm2 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 frame/s Multi-layer Spiking Neural Network Learning
        Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi*, 2023 IEEE Asian Solid-State Circuits Conference (ASSCC), 2023, 1-3.

  9. Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip
        Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi*. 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023, 1-2.

  10. High-Accuracy Deep ANN-to-SNN Conversion Using Quantization-Aware Training Framework and Calcium-Gated Bipolar Leaky Integrate & Fire Neuron
         Haoran Gao, Junxian He, Haibing Wang, Tengxiao Wang, Zhengqing Zhong, Jianyi Yu, Ying Wang, Min Tian, Cong Shi*. Frontiers in Neuroscience: 2023, 17, 1141701.（SCI，2区）

  11. A Configurable On-Chip Spike Encoding Network Based on Dual-Mode Integrate & Fire Neurons
         Zhengqing Zhong, Yunpeng Tuo*, Haibing Wang, Tengxiao Wang, Junxian He, Min Tian, Cong Shi. IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference(ITNEC): 2023, 1445-1449.

  12. An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips
         Leyi Chen, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian*. IEEE Asia Pacific Conference on Circuits and Systems (APCCAS): 2022, 1-5.(Best Paper Award)

  13. TEDOP: a Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity
         Cong Shi, Sihao Chen, Haibing Wang, Zhengqing Zhong, Ping Li, Junxian He, Tengxiao Wang, Jianyi Yu, Min Tian*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA): 2022, pp. 62-63.

  14. MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks
        Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuang-Ming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi*. IEEE Biomedical Circuits and Systems Conference (BioCAS): 2022, 255-259.

  15. TripleBrain: A Compact Neuromorphic Hardware Core with Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity
        Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi. IEEE Transactions on Biomedical Circuits and Systems. 2022, 16(4), 636-650.（SCI，2区）

  16. A Lightweight Spiking GAN Model for Memristor-Centric Silicon Circuit with On-Chip Reinforcement Adversarial Learning
        Min Tian, Jing Lu*, Haoran Gao, Haibing Wang, Jianyi Yu, Cong Shi. IEEE International Symposium on Circuits & Systems (ISCAS): 2022, 3388-3392.

  17. TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning
         Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA): 2021, 88-89.

发明专利

  1. 网络结构可配置的类脑芯片架构.
    石匆*, 王腾霄, 田敏, 王海冰, 钟正青, 何俊贤, 蒋颖. 中国，公开号：CN117273100A，2023-12-22

  2. 事件驱动类型芯片中突触权重更新方法、芯片、电子设备.
    石匆*, 王海冰, 田敏, 何俊贤, 王腾霄, 喻剑依, 高灏然, 张靖雅, 陈乐毅, 陈思豪, 庹云鹏. 中国，公开号：CN116629331A，2023-08-22

  3. 基于Ca-LIF神经元模型的Spike-BP片上学习方法、系统及处理器.
    石匆*, 高灏然, 田敏, 何俊贤, 王腾霄, 喻剑依, 王海冰, 陈思豪, 张靖雅, 庹云鹏, 陈乐毅. 中国，公开号：CN116629344A，2023-08-22

  4. 基于全脉冲HMAX模型的多层卷积类脑芯片.
    石匆*, 何俊贤, 王海冰, 王腾霄, 张靖雅, 高灏然. 中国，公开号：CN116562350A，2023-08-08

  5. 一种基于液体状态机的脉冲神经网络架构.
    石匆*, 陈乐毅, 田敏, 何俊贤, 王腾霄, 王海冰, 喻剑依, 高灏然. 中国，公开号：CN116562354A，2023-08-08

  6. 深层脉冲神经网络模型及深层SNN片上实时学习处理器.
    石匆*，张靖雅, 田敏, 王腾霄, 何俊贤, 喻剑依, 高灏然, 王海冰, 陈乐毅, 陈思豪, 庹云鹏. 中国，公开号：CN116562344A，2023-08-08

  7. 基于双模式积分点火神经元的片上脉冲编码器.
    石匆*, 庹云鹏, 钟正青, 田敏, 王海冰, 王腾霄, 何俊贤, 陈乐毅, 张靖雅, 王丽, 陈思豪, 高灏然. 中国，公开号：CN116050487A，2023-05-02

  8. 轻量级片上学习FPGA硬件架构及其设计方法.
    石匆*, 张靖雅, 田敏, 王腾霄, 王海冰, 何俊贤, 卢靖, 高灏然. 中国，公开号：CN115115039A，2022-09-27

  9. 一种低光照小像素CFA采样与边缘计算设备适用的去马赛克方法.
    石匆*, 任静, 李睿, 王海冰, 高灏然, 何俊贤, 王腾霄, 王丽. 中国，公开号：CN115082315A，2022-09-20

  10. 存内计算装置及其控制方法.
    石匆*, 陈乐毅, 田敏, 王海冰, 喻剑依, 何俊贤. 中国，公开号：CN115064197A，2022-09-16

  11. 基于简化SDSP算法的轻量级片上学习方法、系统及处理器. 
    陈思豪, 石匆*, 田敏, 何俊贤, 王腾霄, 王海冰, 高灏然, 庹云鹏. 中国，公开号：CN115018058A，2022-09-06

  12. 基于忆阻器的可片上强化学习脉冲GAN模型及设计方法. 
    石匆*, 卢靖, 田敏, 王海冰, 喻剑依, 何俊贤, 王腾霄, 高灏然. 中国，公开号：CN114943329A，2022-08-25

  13. 一种基于异构脉冲神经网络的人脸识别的FPGA芯片
    周政华, 石匆*, 钟正青, 王海冰, 周喜川. 中国，公开号：CN114708639A，2022-07-05

  14. 基于脉冲神经网络的轻量级片上学习方法、系统及处理器.
    王海冰, 石匆*, 田敏, 王腾霄, 何俊贤, 何祯. 中国，公开号：CN114091663A，2022-2-25

  15. 基于脉冲神经网络的实时深度学习方法、系统及处理器.
    王腾霄, 石匆*, 田敏, 何俊贤, 王海冰, 喻剑依. 中国，公开号：CN114065922A，2022-2-18
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