{"id":386,"date":"2022-07-18T12:03:58","date_gmt":"2022-07-18T04:03:58","guid":{"rendered":"https:\/\/www.corticalchip.com\/?p=386"},"modified":"2025-11-26T19:51:23","modified_gmt":"2025-11-26T11:51:23","slug":"%e9%92%9f%e6%ad%a3%e9%9d%92%e4%b8%aa%e4%ba%ba%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/www.corticalchip.com\/index.php\/2022\/07\/18\/%e9%92%9f%e6%ad%a3%e9%9d%92%e4%b8%aa%e4%ba%ba%e4%bb%8b%e7%bb%8d\/","title":{"rendered":"\u949f\u6b63\u9752\u4e2a\u4eba\u4ecb\u7ecd"},"content":{"rendered":"\n

                                                                                                                 \"\"
                                                                                           \u4e2a\u4eba\u90ae\u7bb1\uff1azhongzhengqing@cqxfzk.com.cn<\/p>\n\n\n\n

      \u949f\u6b63\u9752\uff0c\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\u5728\u8bfb\u5de5\u7a0b\u535a\u58eb\u7814\u7a76\u751f\u3002\u62c5\u4efb\u91cd\u5e86\u5148\u950b\u667a\u80fd\u79d1\u6280\u6709\u9650\u516c\u53f8\u6280\u672f\u603b\u76d1\u3002\u5728\u6c7d\u8f66\u7535\u5b50\u63a7\u5236\u5668\u548cRFID\u6280\u672f\u4ece\u4e8b\u8bbe\u8ba1\u7814\u53d1\u5de5\u4f5c\uff0c\u6df1\u8015\u5341\u4f59\u5e74\uff0c\u5ba2\u6237\u904d\u5e03\u5168\u56fd\uff0c\u5305\u62ec\u957f\u5b89\u6c7d\u8f66\u3001\u4e2d\u56fd\u91cd\u6c7d\u3001\u9655\u6c7d\u91cd\u6c7d\u3001\u6625\u98ce\u52a8\u529b\u7b49\u3002\u53d1\u8868\u8bba\u6587\u548c\u4e13\u5229\u517131\u7bc7\uff0c\u83b7\u5f97\u53d1\u660e\u4e13\u522916\u9879\u3002\u66fe\u53c2\u4e0e\u56fd\u5bb6\u6838\u9ad8\u57fa\u9879\u76ee\u300a\u6c7d\u8f66\u57fa\u7840\u8f6f\u4ef6\u300b\u7684\u5206\u9879\u76ee\u7ec4\uff0c\u62c5\u4efb\u7ba1\u7406\u5de5\u4f5c\uff0c\u5e76\u83b7\u5f97\u4e86\u56fd\u5bb6\u9a8c\u6536\u3002\u76ee\u524d\u7814\u7a76\u65b9\u5411\u4e3a<\/strong>\uff1a\u7c7b\u8111\u8d85\u4f4e\u529f\u8017\u4eba\u8138\u8bc6\u522b\u82af\u7247\u8bbe\u8ba1\u53ca\u7cfb\u7edf\u96c6\u6210\u7814\u7a76\u3002<\/p>\n\n\n\n

\u53d1\u8868\u8bba\u6587<\/strong><\/p>\n\n\n\n

    \n
  1. MorphBungee-Tiny: An Ultra-Low-Cost FPGA Implementation of Neuromorphic Architecture With High-Accuracy On-Chip E-Prop Learning<\/a><\/mark><\/mark><\/mark>
    \u00a0 \u00a0Zhengqing Zhong<\/strong>, Jialin Yang, Haibing Wang, Ying Jiang, Yingcheng Lin, Ping Gan, Liyuan Liu, Liang Liang, Cong Shi*. IEEE Transactions On Circuits and Systems II: Express Briefs<\/strong><\/em>, 2025, 72(12), 2012-2016.\uff08SCI\uff0c 1\u533a\uff09<\/strong>

    <\/li>\n\n\n\n
  2. MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning\/Inference<\/a><\/mark>
    \u00a0 \u00a0 Zhengqing Zhong<\/strong>, Haibing Wang, Mingju Chen, Yingcheng Lin, Min Tian, Tengxiao Wang, Liyuan Liu, Cong Shi*. IEEE Transactions On Circuits and Systems Part II: Express Briefs<\/em><\/strong>, 2025, 72(1), 293-297.\uff08SCI\uff0c2\u533a<\/strong>\uff09

    <\/li>\n\n\n\n
  3. NeuroCam: A Neuromorphic Intelligent CameraSystem for Face Recognition<\/a><\/mark>
        Jialin Yang, Haibing Wang*, Zhengging Zhong<\/strong>, Mingju Chen, Ying Jiang, Yangfan Huang,Cong Shi. 2024 4th<\/em><\/strong> International Conference on Intelligent Technology and Embedded Systems (ICITES)<\/em><\/strong>, September 20-23, 2024, Chengdu, China.

    <\/li>\n\n\n\n
  4. MorphBungee: A 65-nm 7.2-mm2<\/sup> 27-\u03bcJ\/image Digital Edge Neuromorphic Chip with On-Chip 802-frame\/s Multi-Layer Spiking Neural Network Learning<\/a><\/mark>
        Tengxiao Wang, Min Tian, Haibing Wang, Zhengqing Zhong<\/strong>, Junxian He, Fang Tang, Xichuan Zhou, Yingcheng Lin, Shuang-Ming Yu, Liyuan Liu, Cong Shi*. IEEE Transactions on Biomedical Circuits and Systems<\/strong><\/em>, <\/strong>2025, 19(1), 209-225. \uff08SCI\uff0c1\u533a\uff09<\/strong>

    <\/li>\n\n\n\n
  5. MorphBungee: A 65nm 7.2mm2<\/sup> 27\u03bcJ\/image Digital Edge Neuromorphic Chip with On-Chip 802 frame\/s Multi-layer Spiking Neural Network Learning<\/a><\/mark>
        Tengxiao Wang, Min Tian, Zhengqing Zhong<\/strong>, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi*<\/sup>, 2023 IEEE Asian Solid-State Circuits Conference (ASSCC)<\/em><\/strong>, 2023, 1-3.

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

    <\/li>\n\n\n\n
  7. High-Accuracy Deep ANN-to-SNN Conversion Using Quantization-Aware Training Framework and Calcium-Gated Bipolar Leaky Integrate & Fire Neuron<\/a><\/mark>
         Haoran Gao, Junxian He, Haibing Wang, Tengxiao Wang, Zhengqing Zhong<\/strong>, Jianyi Yu, Ying Wang, Min Tian, Cong Shi*. Frontiers in Neuroscience<\/em><\/strong>: 2023, 17, 1141701.\uff08SCI\uff0c2\u533a\uff09<\/strong>

    <\/li>\n\n\n\n
  8. An Edge Neuromorphic Hardware with Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes<\/a>
    <\/mark>     Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong<\/strong>, Junxian He, Haoran Gao, Jianyi Yu, Ping Li, Min Tian*. IEEE Transactions on Circuits and Systems II: Express Briefs<\/em><\/strong>: 2023,<\/mark> 70(7), 2665-2669.\uff08SCI\uff0c2\u533a\uff09<\/strong><\/mark>

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

    <\/li>\n\n\n\n
  10. \u7269\u7aef\u795e\u7ecf\u5f62\u6001\u7c7b\u8111\u82af\u7247\u8bbe\u8ba1\u7efc\u8ff0<\/a>
         \u949f\u6b63\u9752<\/strong>, \u738b\u817e\u9704, \u5218\u529b\u6e90, \u5434\u5357\u5065, \u7530\u654f, \u77f3\u5306*. \u5fae\u7eb3\u7535\u5b50\u4e0e\u667a\u80fd\u5236\u9020<\/em><\/strong>: 2022, 4(3), 19-30.

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

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

    <\/li>\n\n\n\n
  13. A Heterogeneous Spiking Neural Network Toward High-accuracy Low-power Face Recognition Application<\/a>
    Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong<\/strong>, et al. IEEE International Symposium on Circuits & Systems (ISCAS):<\/em><\/strong> 2021.

    <\/li>\n\n\n\n
  14. \u6c7d\u8f66\u81ea\u52a8\u5929\u7a97\u63a7\u5236\u5355\u5143\u7684\u8bbe\u8ba1\u4e0e\u5b9e\u73b0<\/a>\uff0c\u6768\u8389\uff0c\u949f\u6b63\u9752<\/strong>, \u7269\u8054\u7f51\u6280\u672f<\/strong><\/em> 2017,07(02)\uff0c(105-107)

    <\/li>\n\n\n\n
  15. Design of piezoelectric power generator in tire<\/a>
    Hai-Yang Liao, Zhengqing Zhong<\/strong>. Optics and Precision Engineering<\/em><\/strong>: 2009, vol.17, no. 6, pp. (1327-1332)
    <\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    \u53d1\u660e\u4e13\u5229<\/strong><\/p>\n\n\n\n

      \n
    1. [\u53d1\u660e] \u7f51\u7edc\u7ed3\u6784\u53ef\u914d\u7f6e\u7684\u7c7b\u8111\u82af\u7247\u67b6\u6784.
      \u77f3\u5306*, \u738b\u817e\u9704, \u7530\u654f, \u738b\u6d77\u51b0, \u949f\u6b63\u9752<\/strong>, \u4f55\u4fca\u8d24, \u848b\u9896, CN117273100A, 2023-12-22

      <\/li>\n\n\n\n
    2. [\u53d1\u660e] \u57fa\u4e8e\u53cc\u6a21\u5f0f\u79ef\u5206\u70b9\u706b\u795e\u7ecf\u5143\u7684\u7247\u4e0a\u8109\u51b2\u7f16\u7801\u5668.
      \u77f3\u5306*, \u5eb9\u4e91\u9e4f, \u949f\u6b63\u9752<\/strong>, \u7530\u654f, \u738b\u6d77\u51b0, \u738b\u817e\u9704, \u4f55\u4fca\u8d24, \u9648\u4e50\u6bc5, \u5f20\u9756\u96c5, \u738b\u4e3d, \u9648\u601d\u8c6a, \u9ad8\u704f\u7136, CN116050487A, 2023-05-02

      <\/li>\n\n\n\n
    3. [\u53d1\u660e] \u4e00\u79cd\u57fa\u4e8e\u5f02\u6784\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u4eba\u8138\u8bc6\u522b\u7684FPGA\u82af\u7247
      \u5468\u653f\u534e, \u77f3\u5306*, \u949f\u6b63\u9752<\/strong>, \u738b\u6d77\u51b0, \u5468\u559c\u5ddd, CN114708639A, 2022-07-05

      <\/li>\n\n\n\n
    4. [\u5b9e\u7528\u65b0\u578b] \u4e00\u79cd\u96c6\u6210\u80ce\u538b\u63a5\u6536\u7684\u6469\u6258\u8f66\u65e0\u94a5\u5319\u63a7\u5236\u5668.
      \u949f\u6b63\u9752<\/strong>, CN211893475U, 2019-12-19

      <\/li>\n\n\n\n
    5. [\u5b9e\u7528\u65b0\u578b] \u5e26\u4f7f\u80fd\u63a7\u5236\u7684\u53cc\u8f93\u51fa DCDC \u8f6c\u6362\u7535\u8def\u53ca\u5e94\u7528\u8be5\u7535\u8def\u7684\u7535\u52a8\u8f66.
      \u949f\u6b63\u9752<\/strong>, \u5468\u6cbb\u534e, \u738b\u5e0c, \u7b49, CN209692612U, 2019-01-21

      <\/li>\n\n\n\n
    6. [\u5b9e\u7528\u65b0\u578b] \u57fa\u4e8eRFID \u901a\u4fe1\u7684\u7535\u52a8\u8f66\u9632\u76d7\u7535\u673a\u63a7\u5236\u5668.
      \u949f\u6b63\u9752<\/strong>, \u5468\u6cbb\u534e, \u738b\u5e0c, \u7b49, CN209690996U, 2019-01-21

      <\/li>\n\n\n\n
    7. [\u53d1\u660e] \u4e00\u79cd\u8f66\u8f86\u53ca\u5176\u63a7\u5236\u65b9\u6cd5\u3001\u88c5\u7f6e\u3001\u7cfb\u7edf\u53ca\u5b58\u50a8\u4ecb\u8d28.
      \u949f\u6b63\u9752<\/strong>, \u5218\u6768, CN109969107A, 2017-12-28

      <\/li>\n\n\n\n
    8. [\u53d1\u660e] \u4e00\u79cd\u6c7d\u8f66\u65e0\u94a5\u5319\u8fdb\u5165\u548c\u65e0\u94a5\u5319\u542f\u52a8\u7cfb\u7edf\u7684\u65e0\u7ebf\u901a\u4fe1\u6d4b\u8bd5\u7cfb\u7edf\u53ca\u65b9\u6cd5.
      \u949f\u6b63\u9752<\/strong>, CN104483141B, 2017-07-04

      <\/li>\n\n\n\n
    9. [\u53d1\u660e] \u4e00\u79cd\u8f66\u8f66\u8054\u7f51\u7684\u8f66\u8eab\u63a7\u5236\u7cfb\u7edf.
      \u8521\u5dcd\u5dcd, \u949f\u6b63\u9752<\/strong>, \u7b49, CN106502240A, 2016-12-30

      <\/li>\n\n\n\n
    10. [\u5b9e\u7528\u65b0\u578b] \u4e00\u79cd\u589e\u5f3a\u53ef\u9760\u6027\u7684\u9632\u76d7\u63a7\u5236\u5668\u7cfb\u7edf.
      \u4ee3\u9526, \u949f\u6b63\u9752<\/strong>, \u7b49, CN206254961U, 2016-12-21

      <\/li>\n\n\n\n
    11. [\u5b9e\u7528\u65b0\u578b] \u6c7d\u8f66\u7684\u70ed\u7ba1\u7406\u63a7\u5236\u5668.
      \u5085\u5f3a, \u949f\u6b63\u9752<\/strong>, \u7b49, CN205263557U, 2015-12-30

      <\/li>\n\n\n\n
    12. [\u5b9e\u7528\u65b0\u578b] \u9632\u5939\u5929\u7a97\u7535\u673a\u6d4b\u8bd5\u5de5\u5177.
      \u949f\u6b63\u9752,<\/strong> \u5085\u5f3a, \u7b49, CN205317906U, 2015-12-30

      <\/li>\n\n\n\n
    13. [\u5b9e\u7528\u65b0\u578b] \u4e00\u79cd\u5e94\u7528\u4e8e\u6c7d\u8f66\u81ea\u52a8\u5929\u7a97\u7684\u9632\u5939\u63a7\u5236\u5668.
      \u949f\u6b63\u9752<\/strong>, \u5085\u5f3a, \u7b49, CN204370972U, 2014-12-30

      <\/li>\n\n\n\n
    14. [\u53d1\u660e] PEPS \u7cfb\u7edf\u7684\u4f4e\u9891\u6807\u5b9a\u65b9\u6cd5.
      \u949f\u6b63\u9752<\/strong>, \u7b49, CN103646457B, 2013-12-27

      <\/li>\n\n\n\n
    15. [\u53d1\u660e] \u53cc\u901a\u9053\u6c7d\u8f66\u95e8\u628a\u624b\u611f\u5e94\u5929\u7ebf.
      \u590f\u66e6, \u949f\u6b63\u9752<\/strong>, \u7b49, CN103676715B, 2013-12-23

      <\/li>\n\n\n\n
    16. [\u5b9e\u7528\u65b0\u578b] \u8f66\u5185\u57fa\u7ad9\u7cfb\u7edf.
      \u5c39\u6052, \u949f\u6b63\u9752<\/strong>, \u590f\u66e6, CN203618138U, 2013-12-23
      <\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

         &n […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-386","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/386","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/comments?post=386"}],"version-history":[{"count":90,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/386\/revisions"}],"predecessor-version":[{"id":2611,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/386\/revisions\/2611"}],"wp:attachment":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/media?parent=386"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/categories?post=386"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/tags?post=386"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}