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陈杰男

Personal information

 Master Tutor

Gender:Male

Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:电子科技大学

Degree:Doctoral Degree

Status:因公出国

School/Department:通信抗干扰技术国家级重点实验室

Discipline:Electronics and Communication Engineering

Business Address:主楼B3-510

Contact Information:neonanme@uestc.edu.cn 028-61830321

E-Mail:

Personal Profile

陈杰男,副教授。美国北德克萨斯州大学博士后,明尼苏达大学访问学者,电子科技大学博士。本人一直从事通信处理系统设计与实现。发表文章近四十篇,其中SCI论文13篇,第一作者SCI文章11,(包含一篇TSP(IF=4.3), 两篇TVT(IF=4.0),以及两篇TCAS-1(IF=2.4),两篇SPL(IF=2.5),一篇JETCS(IF=2.5),三篇TVLSI(IF=1.7))国际A级会议收录文章10篇。申请、授权专利8项。主持2015国家自然科学基金青年基金项目(经费22万,主持),主持2017国防重点实验室基金一项(经费40万,主持),主持中央高校基本业务费项目两项2015(总计经费30万,主持),2018国防科技创新特区项目(总计经费100万,第二负责人),以及与华为公司合作的项目(总计经费56万,第二负责人)等。

研究方向:

      基于人工智能的场景学习


   基于人工智能的智能决策


   基于机器学习的信号处理


  现诚招对人工智能和信号处理感兴趣的研究生,请将简历发至jesson.chen@outlook.com


部分发表论文:

[1]     Jienan Chen, C. Fei, H. Lu, G. E. Sobelman and J. Hu, "Hardware Efficient Massive MIMO Detector Based on the Monte Carlo Tree Search Method," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 7, no. 4, pp. 523-533, Dec. 2017. (SCI, IF=2.5)

[2]     Jienan Chen, J. Hu and G. E. Sobelman, "Stochastic MIMO Detector Based on the Markov Chain Monte Carlo Algorithm," in IEEE Transactions on Signal Processing, vol. 62, no. 6, pp. 1454-1463, March15, 2014. (SCI, IF=4.3)

[3]     Jienan Chen, Z. Zhang, H. Lu, J. Hu and G. E. Sobelman, "An Intra-Iterative Interference Cancellation Detector for Large-Scale MIMO Communications Based on Convex Optimization," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 11, pp. 2062-2072, Nov. 2016. (SCI, IF=2.4)

[4]     Jienan Chen, Z. Zhang, S. Fu and J. Hu, "A Joint Update Parallel MCMC-Method-Based Sparse Code Multiple Access Decoder," in IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1280-1291, Feb. 2018. (SCI, IF=4.0)

[5]     Jienan Chen, Z. Zhang, S. He, J. Hu and G. E. Sobelman, "Sparse Code Multiple Access Decoding Based on a Monte Carlo Markov Chain Method," in IEEE Signal Processing Letters, vol. 23, no. 5, pp. 639-643, May 2016. (SCI, IF=2.5)

[6]     Jienan Chen, J. Hu and G. E. Sobelman, "Stochastic Iterative MIMO Detection System: Algorithm and Hardware Design," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 62, no. 4, pp. 1205-1214, April 2015. (SCI, IF=2.4)

[7]     Jienan Chen et al., "Long-Range and Broadband Aerial Communication Using Directional Antennas (ACDA): Design and Implementation," in IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp. 10793-10805, Dec. 2017.(SCI, IF=4.0)

[8]     Jienan Chen and J. Hu, "High Throughput Stochastic Log-MAP Turbo-Decoder Based on Low Bits Computation," in IEEE Signal Processing Letters, vol. 20, no. 11, pp. 1098-1101, Nov. 2013. (SCI, IF=2.4)

[9]     Jienan Chen, J. Hu, S. Lee and G. E. Sobelman, "Hardware Efficient Mixed Radix-25/16/9 FFT for LTE Systems," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 2, pp. 221-229, Feb. 2015. (SCI, IF=1.7)

[10]  Jienan Chen, J. Hu and J. Zhou, "Hardware and Energy-Efficient Stochastic LU Decomposition Scheme for MIMO Receivers," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 4, pp. 1391-1401, April 2016. (SCI, IF=1.7)

[11]  Jienan Chen and J. Hu, "Energy-Efficient Digital Signal Processing via Voltage-Overscaling-Based Residue Number System," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 21, no. 7, pp. 1322-1332, July 2013. (SCI, IF=1.7)






Other Contact information

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Education Experience

  • 2016.1-2017.1

    北德克萨斯州大学 (University of North Texas) | 电子工程 | 博士后 
     

  • 2014.7-2015.7

    明尼苏大大学 | 电子工程 | 访问学者 
     

  • 2008.9-2014.6

    电子科技大学 | 通信与信息系统 | Doctoral Degree
     

  • 2003.9-2007.7

    电子科技大学 | 电子信息工程 | Bachelor's Degree
     

  • 2000.9-2003.7

    成都七中 | 无 
     

Work Experience

  • 2014.7-Now

     电子科技大学  | 专任教师 
     

Social Affiliations:

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Research Focus

  •  VLSI的机器学习算法实现

  • 基于人工智能的场景学习

  • 基于人工智能的智能决策

  • 基于机器学习的信号处理
    基于人工智能的智能决策
    基于人工智能的场景学习
    VLSI的机器学习算法实现

Research Group

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