个人邮箱:tianmin@cqu.edu.cn

田敏,博士,助理研究员,重庆大学“弘深青年教师”
重庆大学微电子与通信工程学院-犀灵视觉科技 校企联合研究生培养中心副主任

专业领域:集成电路和系统设计,人工智能  

1. 联系方式

邮箱:tianmin@cqu.edu.cn
办公地址:重庆市沙坪坝区沙正街174号重庆大学A区主教学楼2313 邮编(400044)

2. 工作经历

2020.09-至今 重庆大学 微电子与通信工程学院 助理研究员
2019.07-2020.07 中国工程物理研究院电子工程研究所 助理研究员

3. 教育背景

2014.09-2019.06 中科院微电子研究所 微电子学与固体电子学 硕博连读
2010.09-2014.06 中山大学 微电子与固体电子学 学士

4. 研究招生

目前从事人工智能和集成电路等前沿热点领域交叉研究,主要研究方向包括:
1)类脑神经网络模型及学习算法;
2)数字型存内计算类脑智能电路和系统设计。

5. 项目经历

  1. 存内算学一体化的类脑芯片设计研究. 中国科学院半导体研究所横向项目,2024.1.1-2024.12.31,28万,主持
  2. 全数字存内计算加速器设计研究. CCF-海康威视斑头雁基金,2021-2022,27万,主持
  3. 基于忆阻器的脉冲神经网络片上学习电路设计研究. 重庆市博士后科学基金项目,2021-2023,主持

6. 近年发表论文

  1. STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
        Haoran Gao, Xichuan Zhou, Yingcheng Lin, Min Tian, Liyuan Liu, Cong Shi*. Preprint at https://arxiv.org/abs/2411.11082 (2024)


  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. 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)

  4. 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)

  5. Learnable Leakage and Onset-Spiking Self-Attention in SNNs with Local Error Signals
         Cong Shi, Li Wang, Haoran Gao, Min Tian*. Sensors: 2023, 23(24), 9781. (SCI,3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. An Edge Neuromorphic Hardware with Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes
         Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong, Junxian He, Haoran Gao, Jianyi Yu, Ping Li, Min Tian*IEEE Transactions on Circuits and Systems II: Express Briefs: 2023, 70(7), 2665-2669.(SCI,2区)

  12. 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.

  13. 物端神经形态类脑芯片设计综述
         钟正青, 王腾霄, 刘力源, 吴南健, 田敏, 石匆*. 微纳电子与智能制造: 2022, 4(3), 19-30.

  14. 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)

  15. 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.

  16. 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.

  17. 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)

  18. 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.

  19.  A Low-cost FPGA Implementation of Spiking Extreme Learning Machine With On-chip Reward-Modulated STDP Learning
        Zhen He, Cong Shi*, Tengxiao Wang, Ying Wang, Min Tian, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Gang Luo. IEEE Transactions on Circuits and Systems II: Express Briefs: 2022, 69(3), 1657-1661.(SCI,2区)

  20. 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.

  21. Exploiting Memristors for Neuromorphic Reinforcement Learning
         Cong Shi, Jing Lu, Ying Wang, Ping Li, Min Tian*IEEE International Conference on Artificial Intelligence Circuits & Systems (AICAS): 2021: 2021, 1-4.

  22. A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition
         Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu, Tengxiao Wang, Min Tian, Ying Jiang, Cong Shi*. IEEE International Symposium on Circuits & Systems (ISCAS): 2021, 1-5.

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. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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