通信抗干扰全国重点实验室
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| 导师代码： |
12108
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| 导师姓名： |
陈杰男
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| 性 别： |
男 |
| 特 称： |
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| 职 称： |
教授
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
Jesson.chen@outlook.com
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| 学术经历：
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2023-01 至 今, 电子科技大学, 通信抗干扰全国重点实验室, 教授
2024-07 至 2024-09，La Trobe University (澳大利亚)，访问教授
2021-09 至 2022-12, 电子科技大学, 通信抗干扰技术国家级重点实验室 , 教授
2017-01 至 2021-09, 电子科技大学, 通信抗干扰技术国家级重点实验室, 副教授
2016-01 至 2017-01, University of North Texas (北得克萨斯州大学)，助理研究员
2014-07 至 2016-01, 电子科技大学, 通信抗干扰技术国家级重点实验室, 讲师
2014-01 至 2014-06，明尼苏达大学，访问学者
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| 个人简介：
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陈杰男，教授，博士生导师，国家级青年人才。发表文章100篇，其中IEEE期刊SCI论文40篇，授权专利8项。主持过国家自然科学基金项目，国家重点研发项目，四川省重大项目，华为合作项目等。担任一区期刊Digital Communication Network副主编（Associate Editor）,担任了Globalsip 2019，ICET 2020的分会主席（Symposium Chair），以及电路学会委员会。获得ICCT2022最佳论文奖，国家级重点实验室优秀交付奖，华为应用证明一等奖，华为优秀合作奖，智能终端创新创业全国一等奖。带领学生获得研究生人工智能竞赛全国一等奖，移动终端创新大赛全国一等奖等。团队主页：http://novamind-uestc.com/home。研究方向：基于AI辅助通信及智能电路系统设计，基于AI的EDA设计。
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| 科研项目：
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(1) 国家自然科学基金委员会, 重点项目, 62331009, 面向5G/6G全场景的基带共模可定制化理论与技术, 2024-01-01 至 2028-12-31, 在研, 参与
(2) 国家自然科学基金委员会, 面上项目, 61971107, 基于元认知的毫米波大规模MIMO混合波束成形技术 研究, 2020-01-01 至 2023-12-31, 结题, 主持
(3) 中华人民共和国科学技术部, 国家重点研发计划课题, 2020YFB2205503, 面向数据传输的随机计算架
构与电路研究, 2020-07 至 2024-10, 在研, 参与
(4) 四川九洲电器集团有限责任公司, 企业级, H04W220251, 高能效低功耗人工智能芯片研制技术服务, 2022-03 至 2024-09,在研, 主持
(5) 中华人民共和国科学技术部, 国家重点研发计划项目, 2018YFB1801500, 太赫兹无线通信技术与系统, 2019-08 至 2023-07,结题, 参与
(6) 四川省科学技术厅, 重点研发“5+1”重大项目, 2021YFG0127, 基于新型随机计算的高效低功耗人工 智能芯片设计与研制, 2021-04 至 2023-03,在研, 主持
(7) 华为技术有限公司, 企业级, 200908, PCB布线辅助工具技术合作项目, 2021-01 至 2022-06, 结题, 主持
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| 研究成果：
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[1] Qidie Wu, Jinsheng Kuang, Jiyun Tao, J. Chen (陈杰男), and Warren J. Gross. Dsmlp: Alearning-based multi-layer perception for mimo detection implemented by dynamic stochastic computing. IEEE Transactions on Signal Processing, 70:6392–6403, 2022.
[2] J. Chen (陈杰男), S. Li, J. Tao, S. Fu, and G. E. Sobelman. Wireless beam modulation:
An energy- and spectrum-efficient communication technology for future massive iot systems.
IEEE Wireless Communications, 27(5):60–66, 2020.
[3] Xiangchen Li, J. Chen (陈杰男), Xiang Ling, and Tingyong Wu. Deep reinforcement learning-based anti-jamming algorithm using dual action network. IEEE Transactions on Wireless Communications, 22(7):4625–4637, 2023.
[4] Manlin Wang, J. Chen (陈杰男), Jiyun Tao, and Hongye Li. Over-the-air antenna array cali-bration for mmwave hybrid beamforming systems based on monte carlo markov chain method. IEEE Transactions on Vehicular Technology, 72(5):6068–6079, 2023.
[5] Chentao Liang, Jinsheng Kuang, Fan Wu, and J. Chen (陈杰男). Millimetre-wave beam track-ing: An intelligent machine learning and kalman filter fusion technology. IEEE Transactions on Cognitive Communications and Networking, 10(2):487–498, 2024.
[6] Zihan Xia, Rui Wan, J. Chen (陈杰男), and Runsheng Wang. Reconfigurable spatial-parallel stochastic computing for accelerating sparse convolutional neural networks. Science China Information Sciences, 66(6):1869–1919, 2023.
[7] Z. Xia, J. Chen (陈杰男), Q. Huang, J. Luo, and J. Hu. Neural synaptic plasticity-inspired computing: A high computing efficient deep convolutional neural network accelerator. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(2):728–740, 2021.
[8] J. Chen (陈杰男), W. Feng, J. Xing, P. Yang, G. E. Sobelman, D. Lin, and S. Li. Hybrid beamforming/combining for millimeter wave mimo: A machine learning approach. IEEE
Transactions on Vehicular Technology, 69(10):11353–11368, 2020.
[9] J. Chen (陈杰男), Z. Wei, S. Li, and B. Cao. Artificial intelligence aided joint bit rate selection and radio resource allocation for adaptive video streaming over f-rans. IEEE Wireless Communications, 27(2):36–43, 2020.
[10] J. Chen (陈杰男), Jiyun Tao, Siyu Luo, Shuai Li, Chuan Zhang, and Wei Xiang. A deep
learning driven hybrid beamforming method for millimeter wave mimo system. Digital Com-
munications and Networks, 9(6):1291–1300, 2023.
[11] Shuai Li, Fan Wu, Siyu Luo, Zhengrong Fan, J. Chen (陈杰男), and Shengli Fu. Dynamic
online trajectory planning for a uav-enabled data collection system. IEEE Transactions on Vehicular Technology, 71(12):13332–13343, 2022.
[12] J. Chen (陈杰男), Siyu Luo, Lin Zhang, Cong Zhang, and Bin Cao. ipas: A deep monte carlo tree search-based intelligent pilot-power allocation scheme for massive mimo system. Digital Communications and Networks, 7(3):362–372, 2021.
[13] J. Chen (陈杰男), S. Li, J. Xing, J. Wang, and S. Fu. Multiple nodes access of wireless beam modulation for 6g-enabled internet of things. IEEE Internet of Things Journal, pages 1–1,2020.
[14] J. Chen (陈杰男), S. Chen, Y. Qi, and S. Fu. Intelligent massive mimo antenna selection using monte carlo tree search. IEEE Transactions on Signal Processing, 67(20):5380–5390, 2019.
[15] J. Chen (陈杰男), C. Zhang, J. Luo, J. Xie, and Y. Wan. Driving maneuvers prediction based autonomous driving control by deep monte carlo tree search. IEEE Transactions on Vehicular Technology, 69(7):7146–7158, 2020.
[16] S. Chen, J. Chen (陈杰男), T. Zhang, and S. Wei. Semi-supervised learning based on hybrid neural network for the signal integrity analysis. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(10):1934–1938, 2020.
[17] J. Chen (陈杰男), Siyu Chen, Siyu Luo, Qi Wang, Bin Cao, and Xiaoqian Li. An intelligent task offloading algorithm (itoa) for uav edge computing network. Digital Communications and Networks, 6(4):433–443, 2020.
[18] J. Tao, J. Chen (陈杰男), J. Xing, S. Fu, and J. Xie. Autoencoder neural network based intelligent hybrid beamforming design for mmwave massive mimo systems. IEEE Transactions on Cognitive Communications and Networking, 6(3):1019–1030, 2020.
[19] J. Liu, J. Chen (陈杰男), S. Luo, S. Li, and S. Fu. Deep learning driven non-orthogonal precoding for millimeter wave communications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(2):164–176, 2020.
[20] J. Chen (陈杰男), Y. Duan, G. E. Sobelman, and C. Zhang. Memory segment matching network based image geo-localization. IEEE Access, 7:77448–77459, 2019.
[21] J. Chen (陈杰男), S. Chen, Q. Wang, B. Cao, G. Feng, and J. Hu. iraf: A deep reinforcement learning approach for collaborative mobile edge computing iot networks. IEEE Internet of Things Journal, 6(4):7011–7024, 2019.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 081000信息与通信工程 |
01无线与移动通信系统，07机器学习与人工智能，08信号与信息智能处理 |
博士学术学位 |
| 085400电子信息 |
01信息与通信工程，02信息与通信工程（非全） |
博士专业学位 |
| 081000信息与通信工程 |
01无线与移动通信系统，07机器学习与人工智能，08信号与信息智能处理 |
硕士学术学位 |
| 085400电子信息 |
01信息与通信工程，02信息与通信工程（非全） |
硕士专业学位 |
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