戴继生 教授

发布者:信息科学与技术学院发布时间:2024-10-24浏览次数:10


戴继生 教授、博导

Email: jsdai@dhu.edu.cn

研究生招生所在学科:信息与通信工程、控制科学与工程、电子信息


研究方向:

无线通信(大规模MIMO、智能反射平面、太赫兹通信、OFDM)、雷达信号处理(波达方向估计、ISACFMCW)、量子通信QKD、振动信号处理与故障诊断、贝叶斯分析与消息传递、稀疏信号处理、人工智能与模式识别

学习经历:

2005.09-2010.06,工学博士,中国科学技术大学,信号与信息处理

2001.09-2005.06,工学学士,南京工业大学,电子信息工程

工作经历:

2023.06-至今,教授,东华大学,信息科学与技术学院,通信工程系

2010.06-2023.06,讲师/副教授/教授,江苏大学,电气信息工程学院,电子信息工程系

2019.11-2019.12,研究员,香港城市大学,电气工程系

2017.04-2018.04,访问学者,香港科技大学,电子与计算机工程系

20130.6-2017.04,博士后(江苏省双创博士),阳立电子(苏州)有限公司

2010.11-2011.01,研究助理,香港大学,电机电子工程学系

2009.01-2009.10,研究助理,香港大学,电机电子工程学系

学术兼职:

2024Digital Signal ProcessingSCI期刊,编委

2020,数据采集与处理,中文核心期刊,编委

科研项目:

2021.01-2024.12,国家自然科学基金面上项目,基于贝叶斯分析的IRS辅助通信系统信道估计技术的研究,主持

2016.01-2019.12,国家自然科学基金面上项目,基于稀疏表示的大规模MIMO系统信道估计和传输方案设计的研究,主持

2015.07-2017.04,中国博士后科学基金特别资助项目,MIMO通信系统的能效优化策略的研究,主持

2012.01-2014.12,国家自然科学基金青年基金,基于方向导数理论的线性MIMO通信系统预编码技术的研究,主持

荣誉与奖励:

2023/2024,“全球前2%顶尖科学家榜单”----“年度影响力榜单”,斯坦福大学和Elsevier数据库合作发布

2020,广东省自然科学奖,基于秩统计量及序统计量的信号处理理论、算法及应用,二等奖

2010,中国科学院院长优秀奖

代表性学术论文:

[1]Lei Zhou, Jisheng Dai*, and Weichao Xu, “Joint multi-user channel estimation for RIS-assisted massive MIMO systems”, IEEE Transactions on Wireless Communications, 2024, 23(10), pp. 13993-14006.

[2]Chen Ji, Jisheng Dai*, Haijun Fu, and Weichao Xu, “Joint device activity detection and channel estimation for mMTC”, IEEE Internet of Things Journal, 2024, 11(16), pp. 27232-27244.

[3]Yi Li, Lei Zhou, Haijun Fu, and Jisheng Dai*, “Decoupled message passing approach for exact mixed-field sources localization”, IEEE Sensors Journal, 2024, 24(16), pp. 25986-25997.

[4]Zheng Cao, Jisheng Dai*, Weichao Xu, and Chunqi Chang, “Sparse Bayesian learning approach for compound bearing fault diagnosis”, IEEE Transactions on Industrial Informatics, 2024, 20(2), pp. 1562-1574.

[5]Changjie Li, Zheng Cao, Shanliang Li, and Jisheng Dai*, “Frequency estimation of vibration signals: A subspace approach for bearing fault diagnosis”, IEEE Sensors Journal, 2024, 24(1), pp. 449-459.

[6]Ming Ma, Zheng Cao, Haijun Fu*, Weichao Xu, and Jisheng Dai*, “Sparse Bayesian learning approach for broken rotor bar fault diagnosis”, IEEE Transactions on Instrumentation and Measurement, 2023, 72, pp. 1-10.

[7]Chen Ji, Haoyang Dong, Weichao Xu, and Jisheng Dai*, “Joint channel estimation and data detection for IRS-assisted OFDM systems”, IEEE Transactions on Vehicular Technology, 2023, 72(9), pp. 11963-11974.

[8]Haoyang Dong, Chen Ji, Lei Zhou, Jisheng Dai*, and Zhongfu Ye, “Sparse channel estimation with surface clustering for IRS-assisted OFDM systems”, IEEE Transactions on Communications, 2023, 71(2), pp. 1083-1095.

[9]Xinru Mu, Lei Zhou, Haijun Fu, and Jisheng Dai*, “Target localization for IRS-assisted massive MIMO systems”, IEEE Sensors Journal, 2023, 23(23), pp. 29260-29270.

[10]Xingchen Fang, Chen Ji, Hekun Shang, and Jisheng Dai*, “Sparse angular reciprocity learning for massive MIMO channel estimation”, Digital Signal Processing, 2023, 137, pp. 104044.

[11]Guoying Zhu, Jisheng Dai*, Chunqi Chang, and Weichao Xu, “Robust uplink channel estimation for massive MIMO systems with general array geometry”, Digital Signal Processing, 2023, 132, pp. 103793.

[12]Jisheng Dai, An Liu, and Hing Cheung So, “Sparse Bayesian learning approach for discrete signal reconstruction”, Journal of the Franklin Institute, 2023, 360(9), pp. 6537-6565.

[13]Jisheng Dai, and Hing Cheung So, “Group-sparsity learning approach for bearing fault diagnosis”, IEEE Transactions on Industrial Informatics, 2022, 18(7), pp. 4566-4576.

[14]Haoran Li, Suyi Chen, Jisheng Dai*, Xiaobo Zou*, Tao Chen, Tianhong Pan, and Melvin Holmes, “Fast burst-sparsity learning-based baseline correction (FBSL-BC) algorithm for signals of analytical instruments”, Analytical Chemistry, 2022, 94(12), pp. 5113-5121.

[15]Lei Zhou, Jisheng Dai*, Weichao Xu, and Chunqi Chang, “Sparse channel estimation for intelligent reflecting surface assisted massive MIMO systems”, IEEE Transactions on Green Communications and Networking, 2022, 6(1), pp. 208-220.

[16]Zheng Cao, Jisheng Dai*, Weichao Xu, and Chunqi Chang, “Bearing fault diagnosis with frequency sparsity learning”, IEEE Transactions on Instrumentation and Measurement, 2022, 71, pp. 1-10.

[17]Shun Wang, Lei Zhou, Weichao Xu, and Jisheng Dai*, “Hybrid message passing approach for uplink massive MIMO channel estimation”, IEEE Wireless Communications Letters, 2022, 11(5), pp. 987-991.

[18]Jisheng Dai, and Hing Cheung So, “Real-valued sparse Bayesian learning for DOA estimation with arbitrary linear arrays”, IEEE Transactions on Signal Processing, 2021, 69, pp. 4977-4990.

[19]Zheng Cao, Jisheng Dai*, Weichao Xu, and Chunqi Chang*, “Fast variational Bayesian inference for temporally correlated sparse signal recovery”, IEEE Signal Processing Letters, 2021, 28, pp. 214-218.

[20]Mengya Guo, Yueping Sun, Jisheng Dai*, and Chunqi Chang*, “Robust DOA estimation for burst impulsive noise”, Digital Signal Processing, 2021, 114, pp. 103059.

[21]Lei Zhou, Jisheng Dai*, Weichao Xu, and Chunqi Chang*, “Uplink channel estimation for massive MIMO systems with impulsive noise”, IEEE Communications Letters, 2021, 25(5), pp. 1534-1538.

[22]Lei Zhou, Zheng Cao, and Jisheng Dai*, “Real-valued sparse Bayesian learning approach for massive MIMO channel estimation”, IEEE Wireless Communications Letters, 2020, 9(3), pp. 311-315.

[23]Jisheng Dai, Lei Zhou, Chunqi Chang, and Weichao Xu, “Robust Bayesian learning approach for massive MIMO channel estimation”, Signal Processing, 2020, 168, pp. 107345.

[24]Jisheng Dai, An Liu, and Hing Cheung So, “Non-uniform burst-sparsity learning for massive MIMO channel estimation”, IEEE Transactions on Signal Processing, 2019, 67(4), pp. 1075-1087.

[25]Jisheng Dai, An Liu, and Vincent K. N. Lau, “Joint channel estimation and user grouping for massive MIMO systems”,IEEE Transactions on Signal Processing, 2019, 67(3), pp. 622-637.

[26]Jisheng Dai, An Liu, and Vincent K. N. Lau, “FDD massive MIMO channel estimation with arbitrary 2D-array geometry”, IEEE Transactions on Signal Processing, 2018, 66(10), pp. 2584-2599. (Google Scholar 引用190)

[27]Jisheng Dai, and Hing Cheung So, “Sparse Bayesian learning approach for outlier-resistant direction-of-arrival estimation”, IEEE Transactions on Signal Processing, 2018, 66(3), pp. 744-756. (Google Scholar 引用134)

[28]Fangfang Chen, Jisheng Dai*, Nan Hu, and Zhongfu Ye, “Sparse Bayesian learning for off-grid DOA estimation with nested arrays”, Digital Signal Processing, 2018, 82, pp. 187-193.

[29]Jisheng Dai, Xu Bao, Weichao Xu, and Chunqi Chang, “Root sparse Bayesian learning for off-grid DOA estimation”, IEEE Signal Processing Letters, 2017, 24(1), pp. 46-50. (Google Scholar 引用206)

[30]Jisheng Dai, Weichao Xu, Zhongfu Ye, Nan Hu, and Chunqi Chang, “Homotopy approach for energy efficient MIMO systems with zero-forcing transceivers”, IEEE Transactions on Vehicular Technology, 2017, 66(2), pp. 1233-1247.

[31]Jisheng Dai, Weichao Xu, Zhongfu Ye, and Chunqi Chang, “Effective subset approach for SVMpath singularities”, Pattern Recognition Letters, 2017, 100(12), pp. 51-58.

[32]Lin Li, Fangfang Chen, and Jisheng Dai*, “Separate DOD and DOA estimation for bistatic MIMO radar”, International Journal of Antennas and Propagation, 2016, 2016, pp. 9170403.

[33]Jisheng Dai, Weichao Xu, Jin Zhang, and Chunqi Chang, “Homotopy algorithm for l1-norm minimisation problems”, IET Signal Processing, 2015, 9(1), pp. 1-9.

[34]Jisheng Dai, and Xu Bao, “Robust piecewise linear algorithm for point-to-point MIMO systems”, IEEE Wireless Communications Letters, 2015, 4(3), pp. 337-340.

[35]Jisheng Dai, and Xu Bao, “Homotopy algorithm for energy-efficient MIMO systems with joint power constraints”, IEEE Wireless Communications Letters, 2014, 3(2), pp. 121-124.

[36]Jisheng Dai, and Chunqi Chang, “Power allocation for maximizing the MAC capacity via majorization”, EURASIP Journal on Advances in Signal Processing, 2014, 113, pp. 1-9.

[37]Jisheng Dai, Xu Bao, Nan Hu, Chunqi Chang, and Weichao Xu, “A recursive RARE algorithm for DOA estimation with unknown mutual coupling”, IEEE Antennas and Wireless Propagation Letters, 2014, 13, pp. 1593-1596.

[38]Jisheng Dai, Chunqi Chang, Fei Mai, Dean Zhao, and Weichao Xu, “On the SVMpath singularity”, IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(11), pp. 1736-1748.

[39]Jisheng Dai, Xin Xu, and Dean Zhao, “Direction-of-arrival estimation via real-valued sparse representation”, IEEE Antennas and Wireless Propagation Letters, 2013, 12, pp. 376-379.

[40]Jisheng Dai, Chunqi Chang, Weichao Xu, and Zhongfu Ye, “Linear precoder optimization for MIMO systems with joint power constraints”, IEEE Transactions on Communications, 2012, 60(8), pp. 2240-2254.

[41]Jisheng Dai, Weichao Xu, and Dean Zhao, “Real-valued DOA estimation for uniform linear array with unknown mutual coupling”, Signal Processing, 2012, 92(9), pp. 2056-2065.

[42]Jisheng Dai, Dean Zhao, and Xiaofu Ji, “A sparse representation method for DOA estimation with unknown mutual coupling”, IEEE Antennas and Wireless Propagation Letters, 2012, 11, pp. 1210-1213. (Google Scholar 引用125)

[43]Jisheng Dai,and Fei Mai, “On the SVMpath initialization”, Signal Processing, 2012, 92(5), pp. 1258-1267.

[44]Jisheng Dai, and Zhongfu Ye, “Spatial smoothing for DOA estimation of coherent signals in the presence of unknown mutual coupling”, IET Signal Processing, 2011, 5(4), pp. 418-425.

[45]Jisheng Dai, and Dean Zhao, “Linear MIMO transceivers design with weighted MMSE criterion”, 电子学报(英文版), 2011, 20(1), pp. 58-62.

[46]Jisheng Dai, Chunqi Chang, Zhongfu Ye, and Yeung Sam Hung, “An efficient greedy scheduler for zero-forcing dirty-paper Coding”, IEEE Transactions on Communications, 2009, 57(7), pp. 1939-1943.

[47]Jisheng Dai, Zhongfu Ye, and Xu Xu, “Power allocation for maximizing the minimum rate with QoS-constraints”, IEEE Transactions on Vehicular Technology, 2009, 58(9), pp. 4989-4996.

[48]Jisheng Dai, and Zhongfu Ye, “Optimal designs for linear MIMO transceivers using directional derivative”, IET Communications, 2009, 3(9), pp. 1452-1462.

论文代码下载:

https://github.com/jsdaiustc



(最后更新时间:202410月)