研究领域：机器学习、信息论与编码、存内计算、工业人工智能等，主要包含以下：

1、深度学习理论：面向存内计算的神经网络容错理论和技术。

2、工业人工智能：工业大模型、分布式学习、迁移学习等。

3、通信基础理论：无线、存储信道容量、信道量化、信道编码等。

专业基础：概率论、深度学习、信息论与编码、信号处理、通信原理、数据结构与算法等。

优先录取有相关基础、数学或编程有特长、对科研感兴趣的同学，有机会去海外知名大学访学或读博深造。

欢迎有意向的学生联系(meizhen@njust.edu.cn，附上简历和成绩单)，同时鼓励优秀本科学生联系参与科研训练、本科毕设及科研项目实践。

2021年10月- 至今     南京理工大学        副教授 

2019年8月 - 2021年9月  华为技术有限公司     系统架构师

2017年7月 - 2019年7月  新加坡科技设计大学    博士后研究员

CCF中国信息系统及应用大会（WISA 2024）最佳论文奖

Wiley威立中国开放科学2022年度作者

江苏省双创博士（海外名校）

深圳市海外高层次人才

学术任职：

IEEE Member

中国电子学会会员

中国计算机学会（CCF）会员

IEEE会议Track chair：IEEE International Conference on Communication Technology (ICCT) 2024

国际旗舰期刊审稿人：

IEEE Transactions on Information Theory, 

IEEE Transactions on Wireless Communications, 

IEEE Transactions on Communications, 

IEEE Transactions on Industrial Informatics等。

主持国家自然科学基金青年项目，2023年-2025年。

主持移动通信国家重点实验室开放研究基金，2023年-2024年。

主持南京理工大学自主科研专项，2023年-2025年。

参与国家自然科学基金面上项目，2024年-2027年。

部分国际期刊论文：

[26] C. Wang, Z. Mei*, J. Li, K. Cai, and L. Kong, "Piecewise Student’s t-distribution Mixture Model-based Estimation for NAND Flash Memory Channels", IEEE Signal Processing Letters, Accepted.

[25] B. Dai, X. Yue, Z. Mei*, F.C.M, Lau, Y. Zou, and T. Li, "Performance Analysis of HARQ-enabled IRS-NOMA Downlink Systems",  IEEE Internet of Things Journal, 2024.

[24] B. Dai, K. Cai, Z. Mei, and X. Zhong, "Polar Code Construction for Resistive Memories  With Sneak-Path Interference",  IEEE Communications Letters, 2024.

[23] Z. Mei, K. Cai, L. Shi, J. Li, L. Chen, and K. A. S. Immink, "Deep Transfer Learning-based Detection for Flash Memory Channels",  IEEE Transactions on Communications,  2024. 

[22] X. Han, J. Li, W. Chen, Z. Mei, K. Wei, M. Ding, and H. V. Poor, "Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity", IEEE Transactions on Wireless Communications, 2024.

[21] Y. Dai, Z. Mei*, J. Li, Z. Li, K. Wei, M. Ding, S. Guo, and W. Chen, "Clustering-based Contrastive Learning for Fault Diagnosis with Few Labelled Samples", IEEE Transactions on Instrumentation & Measurement, 2024.

[20] J. Cui, J. Li, Z. Mei*, K. Wei, S. Wei, M. Ding, W. Chen, and S. Guo, "Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding", IEEE Transactions on Instrumentation & Measurement, 2023.

[19] Z. Mei , K. Cai, L. Shi and J. Li, "Quantization Design for Resistive Memories with Multiple Reads", IEEE Communications Letters, 2023.

[18] C. Wang, Z. Mei*, J. Li, F. Shu, X. He, and L. Kong, "Channel Modeling and Quantization Design for 3D NAND Flash Memory", Entropy, 2023.

[17] G. Yang, Y. Qian, K. Ren, Z. Mei, F. Shu, X. Zhou, and W. Wu, "Covert Wireless Communications for Augmented Reality Systems with Dual Cooperative UAVs", IEEE Journal of Selected Topics in Signal Processing, 2023.

[16] W. Abd-Alaziz, B.A. Jebur, H. Fakhrey, Z. Mei*, and K. Rabie, "A Low-Complexity Coding Scheme for NOMA", IEEE Systems Journal, 2023.

[15] Y. Qian, C. Yang, Z. Mei*, X. Zhou, L. Shi, and J. Li, "On Joint Optimization of Trajectory and Phase Shift for IRS-UAV Assisted Covert Communication Systems", IEEE Transactions on Vehicular Technology, 2023.

[14] L. Shi, T. Wang, Z. Mei*, J. Li, and X. Xia, "Revisiting Non-Coherent Detection of Differential PSK: A Factor Graph Perspective", IEEE Communications Letters, 2022.

[13] P. Li, K. Cai, G. Song, and Z. Mei, “Sneak path interference-aware adaptive detection and decoding for resistive memory arrays", IEEE Communications Letters, 2022.

[12] X. He, K. Cai, W. Song, and Z. Mei, "Dynamic programming for sequential deterministic quantization of discrete memoryless channels", IEEE Transactions on Communications, 2021.

[11]  Z. Mei, K. Cai and X. He, “Deep Learning-Aided Dynamic Read Thresholds Design For Multi-Level-Cell Flash Memories”, IEEE Transactions on Communications , 2020. 

[10] X. Zhong, K. Cai, Z. Mei, and TQS Quek, "Deep learning-based decoding of linear block codes for spin-torque transfer magnetic random access memory", IEEE Transactions on Magnetics, 2020.

[9] Z. Mei , K. Cai, L. Shi and X. He, “On Channel Quantization for Spin-Torque Transfer Magnetic Random Access Memory”, IEEE Transactions on Communications，2019. 

[8] Z. Mei , K. Cai and G. Song, “Performance Analysis of Finite-Length LDPC Codes over Asymmetric Memoryless Channels”, IEEE Transactions on Vehicular Technology, 2019. 

[7] X. He, K. Cai, and Z. Mei, "On finite alphabet iterative decoding of LDPC codes with high-order modulation", IEEE Communications Letters, 2019.

[6] Z. Xie, P. Chen, Z. Mei, L. Shi, K. Cai, and Y. Fang, "Polar-coded physical layer network coding over two-way relay channels", IEEE Communications Letters, 2019. 

[5] B. Dai, R. Liu, C. Gao, and Z. Mei, "Symbol Flipping Algorithm With Self-Adjustment Strategy for LDPC Codes Over GF(q)", IEEE Transactions on Vehicular Technology, 2019.

[4] Z. Mei, K. Cai and B. Dai, “Polar Codes for Spin-Torque Transfer Magnetic Random Access Memory”, IEEE Transactions on Magnetics, 2018.

[3] B. Dai, R. Liu, C. Gao, and Z. Mei, "Noisy gradient descent bit-flipping decoder based on adjustment factor for LDPC codes", IEEE Communications Letters, 2018. 

[2] Z. Mei, M. Johnston, S. Le Goff and L. Chen, “Performance Analysis of LDPC-Coded Diversity Combining on Rayleigh Fading Channels with Impulsive Noise”, IEEE Transactions on Communications，2017. 

[1] B. Dai, R. Liu, Y. Hou, L. Zhao, and Z. Mei, "EXIT Chart Aided LDPC Code Design for Symmetric Alpha-Stable Impulsive Noise", IEEE Communications Letters, 2016.

部分国际会议论文：

[11] B. Dai, X. Yue, Z. Mei, FCM. Lau, Y. Zou and T. Li, "Outage Performance of HARQ-CC-Assisted IRS-NOMA Systems", IEEE Global Communications Conference (GLOBECOM) Workshop, 2023.

[10] Z. Mei, K. Cai, L. Shi, J. Li, L. Chen and K. A. S. Immink, "Data Detection for Non-Volatile Memories via Transfer Learning", IEEE International Conference on Communications (ICC), 2023. 

[9] J. Li, D. Luo, K. Wei, Z. Mei, and Y. Shao,"FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model", IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023.

[8] B. Dai, Z. Mei, K. Cai, L. Kong, and X. Zhong, "PAC Code Construction for Spin-Torque Transfer Magnetic Random Access Memory", IEEE International Magnetic Conference (Intermag), 2023.

[7] Z. Mei, K. Cai and X. W. Zhong, “Neural Network-Based Dynamic Threshold Detection for Non-Volatile Memories”, IEEE International Conference on Communications (ICC), 2019. 

[6] L. Shi, K. Cai, and Z. Mei, "Linear network coded computation in mobile edge computing", IEEE Global Communications Conference (GLOBECOM), 2019.

[5] X. He, K. Cai, and Z. Mei, "On mutual information-maximizing quantized belief propagation decoding of LDPC codes",  IEEE Global Communications Conference (GLOBECOM), 2019.

[4] X. He, K. Cai, W. Song, and Z. Mei, "Dynamic programming for quantization of q-ary input discrete memoryless channels", IEEE International Symposium on Information Theory (ISIT), 2019.

[3] Z. Mei, K. Cai and L. Shi, “Information Theoretic Bounds Based Channel Quantization Design for Emerging Memories”, IEEE Information Theory Workshop (ITW), 2018.

[2] Z. Mei, K. Cai and B. Dai, “Polar Coding for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM)”, IEEE International Magnetics Conference (Intermag), 2018. 

[1] Z. Mei, M. Johnston, S. Le Goff and L. Chen, “Error Probability Analysis of M-QAM on Rayleigh Fading channels with Impulsive Noise”, IEEE international workshop on Signal Processing advances in Wireless Communications (SPAWC), 2016.

已授权专利：

1. 美国专利， P. Chen, Z. Mei, etc. "Method for optimizing polar-rnna quantizer of mlc-type nand flash memory on basis of deep learning", U.S. patent, 17/905,351, 2023.

承担本科生课程《计算机网络与安全技术》，2023秋学期。

承担研究生课程《信息论基础》，2023秋学期。

指导学生获得2023年全国工业互联网创新大赛优秀奖。

目前指导在读硕士生多名；协助指导在读博士生和硕士生多名。