Jisheng Dai

Ph. D., Professor

E-mail:jsdai@ujs.edu.cn

School of Electrical and Information Engineering

Research Area：

➢ Bayesian analysis

➢ Convex optimization

➢ Multi-input multi-output

➢ Sparse signal recovery

➢ Direction-of-arrival estimation

➢ Machine learning

Education：

➢ 2001.9-2005.6, Received the B. E. degree in Electronic Engineering, Nanjing University of Technology (NJUT), China.

➢ 2005.9-2010.6, Received Ph. D. degree in Electronic Engineering and Information Science, University of Science and Technology of China (USTC), China.

Work Experience：

➢ 2009.1-2009.10, Research Assistant at the Department of Electrical and Electronic Engineering (EEE), The University of Hong Kong (HKU), Hong Kong, China.

➢ 2010.11-2011.1, Research Assistant at the Department of EEE, HKU, Hong Kong, China.

➢ 2017.4-2018.4, Visiting Scholar at the Department of Electronic and Computer Engineering (ECE), Hong Kong University of Science and Technology (HKUST), Hong Kong, China.

➢ 2019.11-2019.12, Research Fellow at the Department of Electrical Engineering (EE), City University of Hong Kong (CityU), Hong Kong, China.

➢ 2010.6-present, Assistant Professor/Associate Professor/Professor at Department of Electronic Engineering (EE), Jiangsu University, China.

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Project List：

➢ 2012.1-2014.12, National Natural Science Foundation of China, Linear Transceivers Designs for MIMO Systems with Directional Derivative Theory, Principal Investigator.

➢ 2016.1-2019.12, National Natural Science Foundation of China, Channel Estimation and Transmission Optimization for Massive MIMO Systems via Sparse Representation, Principal Investigator.

➢ 2021.1-2024.12, National Natural Science Foundation of China, Channel Estimation for IRS-aided Communication Systems via Bayesian Analysis, Principal Investigator.

Selected Publication List：

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

[2]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.

[3]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.

[4]Jisheng Daiand 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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

Matlab Codes download：https://sites.google.com/site/jsdaiustc/publication

Google Scholar：https://scholar.google.com/citations?user=mt5w9JgAAAAJ