教师姓名:石匆
邮箱地址:shicong@cqu.edu.cn
工作电话:未公开


课题组诚聘“弘深青年教师,电子或信息类专业背景,待遇优厚,欢迎联系

石匆,博士,研究员,士生导师

首批重庆“英才计划”青年拔尖人才

庆大学百人计划学者

重庆大学DSC-CPS教育部重点实验室智能感知芯片与系统研究所副所长

CSIG类脑视觉专委会委员,IEEE会员,CCF会员

专业领域:数字集成电路设计,电路与系统,人工智能,图像处理

联系方式

E-mail:       shicong@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2209 (邮编400044

工作经历

2019.02-至今         重庆大学  微电子与通信工程学院,研究员,博士生导师

2015.02-2018.12    哈佛大学医学院  Schepens视觉科学研究中心,博士后

教育背景

2009.09-2014.07   清华大学  电子工程系,博士研究生

2009.09-2014.06   中国科学院半导体研究所 超晶格国家重点实验室,博士研究生(联合培养)

2007.09-2009.06   哈尔滨工业大学  电子科学与技术系,硕士研究生

2003.09-2007.06   哈尔滨工业大学  电子科学与技术系,本科  

最新动态

[2021-03-02]

祝贺课题组王腾霄同学(2019级硕士生)面向脉冲神经网络硬件片上深度学习的算法研究学术论文DeepTempo: a Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks”被电路与系统领域国际知名期刊IEEE Transactions on Circuits and Systems II: Express Briefs接收,并获得课题组丰厚奖励

[2021-01-30]

祝贺课题组王腾霄同学(2019级硕士生)面向脉冲神经网络硬件片上深度学习的算法研究学术论文DeepTempo: a Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks”被国际电路与系统大会IEEE International Symposium on Circuits & Systems (ISCAS 2021)接收,并被邀请投稿至电路与系统领域国际知名期刊IEEE Transactions on Circuits and Systems II: Express Briefs,获得课题组奖励

[2020-11-17]

祝贺课题组何俊贤(2019级博士生)、喻剑依(2020级博士生)、黄进国(2018级硕士生)张杰(2018级硕士生)李睿(2019级硕士生)杨晶(2019级硕士生)王海冰(2020级硕士生)多位同学获得A等学业奖学金(博士生1万元,硕士生8千元)

[2020-11-13]

课题组推荐李睿同学(2019级硕士生)赴中国科学院计算技术研究所进行为期一年访学交流,并担任中科院计算所计算机体系结构国家重点实验室客座研究助理

[2020-11-10]

祝贺课题组王腾霄同学(2019级硕士生)关于脉冲神经网络算法的学术论文CompSNN: A Lightweight Spiking Neural Network Based on Spatiotemporally Compressive Spike Features”被SCI期刊录用,并获得课题组奖励

[2020-11-07]

热烈祝贺课题组黄进国同学(2018级硕士生)凭借在读期间优异的论文成果,破格获得普通公办高校教研岗offer

[2020-10-23]

热烈祝贺课题组张杰同学(2018级硕士生)获得2万元研究生国家奖学金(按论文成果+项目主持+竞赛获奖综合排名,全学院年级第2)

[2020-09-01]  

祝贺课题组张杰同学(2018级硕士生)关于图像目标跟踪芯片设计的学术论文“A Low-cost High-speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features”被电路与系统领域国际知名期刊 IEEE Transactions on Circuits and Systems II: Express Briefs 录用并获得课题组丰厚奖励

[2020-08-16]  

祝贺课题组张杰(2018级硕士生)、李睿(2019级硕士生)、杨晶(2019级硕士生)三位同学凭借高水平科研成果,获得“兆易创新杯”第十五届研究生电子设计竞赛全国总决赛华为专项赛二等奖

[2020-06-20]  

祝贺课题组何俊贤同学(原2019级硕士生)凭借前期优异的学术成果,顺利通过硕转博申请考核,提前开始攻读博士学位

招生信息

石匆博士长期从事智能视觉图像处理和人工神经网络电路系统设计及应用算法研究,共发表学术论文50余篇,包括集成电路设计顶级期刊IEEE JSSC和顶级会议ISSCC等。担任IEEE TNNLSIEEE TCSVTIEEE TBioCASIEEE TCAS2 、IEEE TVLSI等人工智能、电路与系统领域高水平SCI期刊审稿人。获得7项国内外授权发明专利。

目前研究方向:智能视觉图像处理和类脑深度神经网络算法、数字芯片与系统设计

现招收具有电子或信息类专业基础的博士、硕士研究生。课题项目面向学术前沿,主要涉及图像视频处理、人工智能算法和数字集成电路Verilog设计。课题组具备良好的工作环境,提供优厚的津贴补助、成果奖励及企业赞助奖学金,以及与哈佛大学、清华大学、中科院等国内外顶尖科研机构充分交流合作的机会,可推荐安排博士生和优秀硕士生与名校联合培养或长短期访学。课题组现有教授/研究员1人,讲师/助理研究员2人,在读博士生2人,在读硕士生8人,本科实习生3人。

招生专业名称

学术型博士: 信息与通信工程 (081000)

学术型硕士: 信息与通信工程 (081000)

专业型硕士: 电子信息 (085400)

发表论文

说明:*为通讯作者,分区为2020年最新国际JCR Q分区

[2021]

1. 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.(Accepted)

2. DeepTempo: a Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks

     Cong Shi*, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, Nanjian Wu. IEEE Transactions on Circuits and Systems II: Express Briefs: 2021, doi: 10.1109/TCSII.2021.3063784. (SCI,2区)

3.  A Low-cost High-speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features

    Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE Transactions on Circuits and Systems II: Express Briefs: 2021, 68(3), 1013-1017.(SCI,2区)

4.  A Novel Approach to Inactivate the Body p-i-n Diode of SiC MOSFET by Using the Normall-off JFET

    Ping Li, Jingwei Guo, Zhi Lin, Shengdong Hu, Cong Shi, Fang Tang*. IEEE Transactions on Electron Devices: 2021, doi: 10.1109/TED.2021.3059393.(SCI,2区)

5. DeepTempo: a Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks

     Cong Shi*, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, Nanjian Wu. IEEE International Symposium on Circuits & Systems (ISCAS): 2021. (Accepted, invited and transferred to IEEE TCAS2)

6. 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. (Accepted)

7. Optimizing Bitwise Information Bottlenecks for Efficient Mixed-Precision Activation Quantization

    Xichuan Zhou*, Kui Liu, Cong Shi, Haijun Liu, Ji Liu. AAAI Conference on Artificial Intelligence (AAAI): 2021. (Accepted)

8. CompSNN: A Lightweight Spiking Neural Network Based on Spatiotemporally Compressive Spike Features

     Tengxiao Wang, Cong Shi*, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo. Neurocomputing: 2021, 425(15), 96-106. SCI,1区)

[2020]

9. BitPruner: Network Pruning for Bit-serial Accelerators

     Xiandong Zhao, Ying Wang*, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang. ACM/IEEE Design Automation Conference (DAC): 2020, No. 47, 1-6.

10. A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution

     Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA): 2020, 63-64.

11.  A High-speed Low-cost VLSI System Capable of On-chip Online Learning for Dynamic Vision Sensor Data Classification

     Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi*. Sensors: 2020, 20(17), 4715. (SCI,1区)

12.  Without low spatial frequencies, high resolution vision would be detrimental to motion perception

     Cong Shi*, Shrinivas Pundlik, Gang Luo*. Journal of Vision: 2020, 20(8), 29.  (SCI,2区)

13.  An Edge 3D CNN Accelerator for Low Power Activity Recognition

     Ying Wang, Yongchen Wang, Long Cheng, Cong Shi, Huawei Li*, Xiaowei Li. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems: 2020. doi: 10.1109/TCAD.2020.3011042. (SCI,3区)

14.  MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time

     Xichuan Zhou*, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi. International Conference on Machine Learning (ICML): 2020, 1-10.

15. Hapke Data Augmentation for Deep Learning Based Hyperspectral Data Analysis with Limited Samples

     Kai Qin, Fangyuan Ge, Yingjun Zhao, Ling Zhu, Ming Li, Cong Shi, Dong Li, Xichuang Zhou*. IEEE Geoscience and Remote Sensing Letters: 2020. doi: 10.1109/LGRS.2020.2989796. SCI,1区)

16.  A Low Reverse Recovery Charge Superjunction MOSFET with P-base and N-pillar Schottky Contacts

     Ping Li*, Zhi Lin, Shengdong Hu, Cong Shi, Fang Tang. IEEE Transactions on Electron Devices: 2020, 67(4), 1693-1698. SCI,2区)

[2019]

17.   A Hardware System for Fast AER Object Classification with On-chip Online Learning

     Jinguo Huang, Wei He, Xichuan Zhou, Junxian He, Ying Wang, Cong Shi, Yingcheng Lin*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA): 2019, 85-86.

18.    High-speed Classification of AER Data Based on a Low-cost Hardware System

      Jinguo Huang, Yingcheng Lin, Wei He, Xichuan Zhou, Cong Shi*, Nanjian Wu, Gang Luo. IEEE International Conference on ASIC (ASICON): 2019, 1-4.

19.   20,000-fps Visual Motion Magnification on Pixel-parallel Vision Chip

     Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi*, Nanjian Wu, Gang Luo. IEEE International Conference on ASIC (ASICON): 2019, 1-4.

20.    基于仿生运动能量特征的光流计算芯片设计综述

     何俊贤, 黄进国, 石匆*. 微纳电子与智能制造: 2019, 1(3), 141-150.

21.   Systolic Cube: A Spatial 3D CNN Accelerator Architecture for Low Power Video Analysis

     Yongchen Wang, Ying Wang, Huawei Li, Cong Shi, Xiaowei Li*. Design Automation Confernece (DAC): 2019, No. 210.

22.   A Hardware-Friendly Optical Flow-Based Time-to-Collision Estimation Algorithm

     Cong Shi*, Zhuoran Dong, Shrinivas Pundlik, Gang Luo. Sensors: 2019, 19(4), 807. (SCI,1区)

[2018]

23.   A Streaming Motion Magnification Core for Smart Image Sensors

      Cong Shi*, Gang Luo. IEEE Transactions on Circuits and Systems II: Express Briefs: 2018, 65(9), 1229-1233. (SCI,2区)

24.  Comparison of computerized system and human observers for vision assessment based on optomotor response in Rhodopsin knockout mice

      Kin-Sang Cho, Jiaxin Xiao, Cong Shi, Karen Chang, Tor Paaske Utheim, Gang Luo, Dong Feng Chen*. Investigative Ophthalmology & Visual Science: 2018, 59(9), 982. (SCI,1区)

25.  A Compact VLSI System for Bio-Inspired Visual Motion Estimation

      Cong Shi, Gang Luo*. IEEE Transactions on Circuits and Systems for Video Technology: 2018, 28(4), 1021-1036. (SCI,1区)

[2017年以前]

26.  662: Comparison of Flat and Curved Monitors: Eyestrain Caused by Intensive Visual Search Task

      Gang Luo*, Ying Chen, Amy Doherty, Rui Liu, Cong Shi, Shuhang Wang, Hoai Le, Eli Peli. SID Symposium Digest of Technical Papers: 2016, 47(1), 903-906

27.  High speed vision processor with reconfigurable processing element array based on full-custom distributed memory

      Zhe Chen, Jie Yang, Cong Shi, Qi Qin, Liyuan Liu, Nanjian Wu*. Japanese Journal of Applied Physics: 2016, 55(4S), 04EF08. (SCI,3区)

28.  A low power global shutter pixel with extended FD voltage swing range for large format high speed CMOS image sensor

      Yangfan Zhou, Zhongxiang Cao, Ye Han, Quanliang Li, Cong Shi, Runjian Dou, Qi Qin, Jian Liu, Nanjian Wu*. Science China Information Sciences: 2015, 58(4), 1-10. (SCI,2区)

29.  Pixel-parallel feature detection on vision chip

      Jie Yang, Cong Shi, Liyuan Liu, Jian Liu, Nanjian Wu*. Electronics Letters: 2014, 50(24), 1839-1841. (SCI,3区)

30. A massively parallel keypoint detection and description (MP-KDD) algorithm for high-speed vision chip

       Cong Shi, Jie Yang, Liyuan Liu, Nanjian Wu*, Zhihua Wang. Science China Information Sciences: 2014, 57(10), 1-12. (SCI,2区)

31.  A reconfigurable 256 × 256 image sensor controller that is compatible for depth measurement

      Zhe Chen, Shan Di, Cong Shi, Liyuan Liu, Nanjian Wu*. Chinese Journal of Semiconductors: 2014,35(10), 105007-6.

32.  A 1000 fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a PE array processor and self-organizing map neural network

      Cong Shi, Jie Yang, Ye Han, Zhongxiang Cao, Qi Qin, Liyuan Liu, Nan-Jian Wu*, Zhihua Wang. IEEE Journal of Solid-State Circuits: 2014, 49(9), 2067-2082. (SCI,1区,集成电路设计最顶级期刊)

33. A compact PE memory for vision chip

      Cong Shi, Zhe Chen, Jie Yang, Nanjian Wu*, Zhihua Wang. Chinese Journal of Semiconductors: 2014, 35(9), 095002-7.

34. A high speed multi-level-parallel array processor for vision chips

      Cong Shi, Jie Yang, Nanjian Wu*, Zhihua Wang. Science China Information Sciences: 2014, 57(6), 1-12. (SCI,2区)

35.  A high speed 1000 fps CMOS image sensor with low noise global shutter pixels

      Yangfan Zhou, Zhongxiang Cao, Qi Qin, Quanliang Li, Cong Shi, Nanjian Wu*. Science China Information Sciences: 2014, 57(4), 1-8. (SCI,2区)

36.  Heterogeneous vision chip and a LBP based algorithm for high-speed tracking

      Jie Yang, Cong Shi, Liyuan Liu, Nanjian Wu*. Electronics Letters: 2014, 50(6),438-439. (SCI,3区)

37.  7.3 A1000fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a PE array and self-organizing map neural network

      Cong Shi, Jie Yang, Ye Han, Zhongxiang Cao, Qi Qin, Liyuan Liu, Nan-Jian Wu*, Zhihua Wang. IEEE International Solid-State Circuits Conference (ISSCC): 2014, 128-129. (集成电路设计最顶级会议)

38.  Smart image sensing system

      Jie Yang, Cong Shi, Zhongxiang Cao, Ye Han, Liyuan Liu, Nanjian Wu*. IEEE Sensors Conference:2013, 1-4.

39.  A novel architecture of local memory for programmable SIMD vision chip

      Zhe Chen, Jie Yang, Cong Shi, Nanjian Wu*. IEEE International Conference on ASIC (ASICON): 2013, 1-4.

40.  A programmable computational image sensor for high-speed vision

      Jie Yang, Cong Shi, Xitian Long, Nanjian Wu*. International Symposium on Photoelectronic Detectionand Imaging (ISPDI): 2013, 89081T-6.

41. A 10-bit column-parallel cyclic ADC for high-speed CMOS image sensors

      Ye Han, Quanliang Li, Cong Shi, Nanjian Wu*. Chinese Journal of Semiconductors: 2013, 34(8), 085016-6.

42.  A Programmable High Speed Vision System with Superscalar PE and Its Parallel Computing Language

      Jie Yang, Cong Shi, Xitian Long, Nanjian Wu*. Open Journal of Applied Sciences: 2013, 3(1B), 65-67.

43.  A low-power column-parallel ADC for high-speed CMOS image sensor

      Ye Han, Quanliang Li, Cong Shi, Liyuan Liu, Nanjian Wu*. International Symposium on Photoelectronic Detection and Imaging (ISPDI): 2013, 89082E-7.

44.  一种基于多级并行处理器的高速实时手势识别及指尖轨迹追踪系统

      龙希田, 石匆, 杨杰, 吴南健*. 微电子学与计算机: 2013, 30(12), 90-96.

45.  A high-speed CMOS image sensor with column-parallel single capacitor CDSs and single-slope ADCs

      Quanliang Li, Cong Shi, Nanjian Wu*. International Symposium on Photoelectronic Detection and Imaging (ISPDI): 2011,819433-6.

46.  A high-speed vision processor based on pixel-parallel PE array and its applications

      Cong Shi, Nanjian Wu*, Zhihua Wang. IEEE Youth Conference on Information Computing and Telecommunications (YC-ICT): 2010, 57-60.

47.  DSTN sleep transistor sizing with a new approach to estimate the maximum instantaneous current

      Yu Sun, Liyi Xiao*, Cong Shi. IEEE International Symposium on Circuits and Systems (ISCAS): 2010, 3717-3720.

48.  功率门控技术中的分簇算法和控制电路

      张利地, 肖立伊*, 石匆. 微处理机: 2009, 30(5), 31-34.

授权专利

1. Assessing Visual Function. Dong Feng Chen, Gang Luo, Cong Shi, Kin-Sang Cho. 美国,US 17/044,606,2020-10-1

2. Dynamically reconstructable multistage parallel single instruction multiple data array processing system. Cong Shi, Nanjian Wu, Xitian Long, Jie Yang, Qi Qin. 美国,US9449257 B2,2016-9-20

3. 可动态重构的多级并行单指令多数据阵列处理系统. 石匆,吴南健,龙希田,杨杰,秦琦. 中国,ZL201210512880.1,2016-4-27

4. 多端口读写的片内存储器. 龙希田,杨杰,石匆,吴南健. 中国,ZL201310140319.X2016-1-20

5. 基于多层次并行处理的视觉处理装置. 杨杰,吴南健,石匆,龙希田. 中国,ZL201210548515.62015-11-14

6. 基于可编程视觉芯片的视觉图像处理系统. 石匆,吴南健,龙希田,杨杰,秦琦. 中国,ZL201210088420.02014-9-17

7. 一种多步单斜模拟数字信号转换装置. 李全良,吴南健,韩烨,石匆. 中国,ZL201210015324.32014-5-14

8. 分布式休眠管功率门控电路中最大翻转电流的静态估算方法. 肖立伊,孙宇,石匆. 中国,ZL200910072733.52011-7-27