代明軍(Mingjun Dai)

男，博士，教授，博士生導(dǎo)師，深圳市海外高層次人才（孔雀計劃B類人才），深圳市高層次人才（后備級人才），南山區(qū)B類領(lǐng)航人才，加拿大滑鐵盧大學(xué)訪問學(xué)者。2012年于香港城市大學(xué)獲得博士學(xué)位并在深圳大學(xué)工作。研究興趣包括分布式深度學(xué)習(xí)(聯(lián)邦學(xué)習(xí))、分布式計算、無線通信網(wǎng)、云存儲（分布式存儲）中網(wǎng)絡(luò)編碼設(shè)計、車聯(lián)網(wǎng)等多個方面。主持科研項目包括國家重點研發(fā)計劃、國家自然科學(xué)基金面上及青年、教育部博士點基金、廣東省自然科學(xué)基金、省教育廳基金、西電國家重點實驗室開放課題、深圳孔雀創(chuàng)新基金、深圳高端人才啟動基金、騰訊犀牛鳥基金等。

Mingjun Dai, male, Professor.

研究興趣：

分布式深度學(xué)習(xí)(聯(lián)邦學(xué)習(xí))、分布式計算、分布式存儲、無線通信網(wǎng)、低復(fù)雜度算法、人工智能與編碼結(jié)合

Research interests: Distributed deep learning (federated learning), coded distributed computing, distributed storage, wireless communication network, low complexty algorithm, combination of artificial intelligence and coding.

教授課程：

通信原理；數(shù)字信號處理；微型計算機技術(shù)；網(wǎng)絡(luò)編碼；C語言程序設(shè)計；可視化計算語言；無線網(wǎng)絡(luò)技術(shù)等

研究生招生方向：

學(xué)術(shù)型博士：信息與通信工程

專業(yè)型博士：電子信息

學(xué)術(shù)型碩士：信息與通信工程

專業(yè)型碩士：通信工程

Research student recruitment: 

PhD candidate: distributed deep learning (federated learning), information and communication.

Mphil candidate: distributed deep learning (federated learning), information and communication, electronics and communication.

招聘需求：

博士后，方向為分布式深度學(xué)習(xí)(聯(lián)邦學(xué)習(xí))、通信編解碼、深度學(xué)習(xí)等。

Recruitment:

Postdoc in distributed deep learning (federated learning), distributed computing, encoding/decoding in communication.

近年主持科研項目清單：

1.國家重點研發(fā)計劃政府間重點專項項目(2023YFE0126800, 面向AI和合作機器人制造收斂的去中心化聯(lián)邦學(xué)習(xí))，在研

2.國家自然科學(xué)基金面上項目(62071304, 面向編碼分布式計算的低復(fù)雜度實數(shù)編解碼算法研究)，在研

3.國家自然科學(xué)基金國際(地區(qū))合作與交流項目(62411560164, 面向物聯(lián)網(wǎng)邊緣的聯(lián)邦學(xué)習(xí)超參數(shù)調(diào)節(jié))，已結(jié)題

4.國家自然科學(xué)基金青年項目(61301182,廣義線性索引編碼研究)，已結(jié)題

5.廣東省自然科學(xué)基金面上項目(2024A1515010625,自調(diào)參高速及高準(zhǔn)確率聯(lián)邦訓(xùn)練研究)，在研

6.廣東省自然科學(xué)基金面上項目(2020A1515010381，二進制糾刪碼分布式存儲系統(tǒng)的編解碼及私有信息檢索設(shè)計)，已結(jié)題

7.廣東省自然科學(xué)基金自由申請(2018A0303130131，基于二進制鋸齒解碼的分布式存儲系統(tǒng)關(guān)鍵技術(shù)研究)，已結(jié)題

8.深圳市自然科學(xué)基金(20200826152915001，低復(fù)雜度的編碼分布式計算)，已結(jié)題

9.教育部博士點基金(20134408120004,帶有編碼緩存和請求的線性索引編碼及應(yīng)用研究)，已結(jié)題

10.西安電子科技大學(xué)國家重點實驗室(ISN)開放基金(ISN18-17,低復(fù)雜度解碼在存儲及通信中設(shè)計)，已結(jié)題

11.孔雀計劃海外高層次人才創(chuàng)新創(chuàng)業(yè)專項資金技術(shù)創(chuàng)新和創(chuàng)業(yè)資助項目（KQCX20140509172609163,軟件定義網(wǎng)絡(luò)平臺上基于網(wǎng)絡(luò)編碼和演化博弈的車載自組通信網(wǎng)），已結(jié)題

12.西安電子科技大學(xué)國家重點實驗室(ISN)開放基金(ISN15-06,廣義索引編碼研究)，已結(jié)題

13.廣東省教育廳特色創(chuàng)新類項目（自然科學(xué)類）(2015KTSCX121,低復(fù)雜度解碼在分布式云存儲中設(shè)計)

14.廣東省自然科學(xué)基金(s2013040016857,帶編碼邊信息和反饋的數(shù)據(jù)分發(fā)機制研究)，已結(jié)題

15.廣東高校優(yōu)秀青年創(chuàng)新人才培養(yǎng)計劃(s2013LYM_0077,緩存和請求數(shù)據(jù)是編碼情況的線性索引編碼研究)，已結(jié)題

16.深圳市高端人才科研啟動基金（00002501，廣義線性索引編碼及分布式云存儲）

17.騰訊“犀牛鳥”-深圳大學(xué)青年教師科研基金(低復(fù)雜度解碼在分布式云存儲及多播通信系統(tǒng)中設(shè)計)，已結(jié)題

部分SCI期刊論文：

[1] M. Dai, C. W. Sung, and Y. Wang, “Distributed on-off power control for amplify-and-forward relays with orthogonal space-time block code,” IEEE transactions on Wireless Commun., vol. 10, no. 6, pp. 1895-1903, Mar. 2011.

[2] M. Dai, H. Y. Kwan, and C. W. Sung, "Linear network coding strategies for the multiple-access relay channel with packet erasures," IEEE transactions on Wireless Commun., vol. 12, no. 1, pp. 218-227, Jan. 2013.

[3] M. Dai, K. W. Shum, and C. W. Sung, "Data dissemination with side information and feedback," IEEE transactions on Wireless Commun., vol. 13, no. 9, pp. 4708-4720, Sep. 2014.

[4] M. Dai, C. W. Sung, etal, "A new zigzag-decodable code with efficient repair in wireless distributed storage," IEEE transactions on Mobile Comput.,vol. 16, no. 5, pp. 1218-1230, May 2017.

[5] C. W. Sung, M. Dai*, and P. Hu, "Achieving the outage capacity of the diamond relay network to within one bit and even less," IEEE transactions on Veh. Technol., vol. 60, no. 8, pp. 4088-4093, Oct. 2011.

[6] M. Dai and C. W. Sung, “A distributed on-off amplify-and-forward protocol for the fading parallel relay channel,” IEEE Commun. Letters, vol. 13, no. 9, pp. 643-645, Sep. 2009.

[7] M. Dai, S. Zhang, B. Chen, X. Lin, and H. Wang, "A refined convergence condition for iterative waterfilling algorithm," IEEE Commun. Letters, vol. 18, no. 2, pp. 269-272, Feb. 2014.

[8] M. Dai and C. W. Sung, “Achieving high diversity and multiplexing gains in the asynchronous parallel relay network,” Trans. on Emerging Telecommun. Technol. (ETT), vol. 24, no. 2, pp. 232-243, Feb. 2013.

[9] M. Dai, P. Wang, S. Zhang, B. Chen, H. Wang, X. Lin, and C. Sun, "Survey on cooperative strategies for wireless relay channels," Trans. on Emerging Telecommun. Technol. (ETT), vol. 25, no. 9, pp. 926-942, Sep. 2014.

[10] M. Dai, H. Wang, etal, “Opportunistic relaying with analogue and digital network coding for two-way parallel relay channels," IET Commun., vol. 8, no. 12, pp. 2200-2206, Aug. 2014.

[11] M. Dai, S. Zhang, etal, "Network-coded relaying in multiuser multicast D2D network," International Journal of Antennas and Propogation, vol. 2014, ArticleID 58794, pp. 1-7, 2014.

[12] M. Dai, D. Liu, Y. Fan, etal, "Evolutionary study on mobile cloud computing," Neural Comput. & Applications, vol. 28, no. 9, pp. 2735-2744, 2017.

[13] M. Dai, B. Mao, D. Shen, etal, "Incorporating D2D to Current Cellular Communication System," Mobile Information Systems, vol. 2016, 2732917, pp. 1-7, Mar. 2016.

[14] R. Feng, M. Dai*, etal, "Linear precoding for multiuser visible-light communication with field-of-view diversity," IEEE Photonics Journal, vol. 8, no. 2, ArticleID 7902708, Apr. 2016.

[15] M. Dai, Z. Lu, etal, "Design of (4, 8) binary code with MDS and zigzag-decodable property," Wireless Personal Communications,vol. 89, no. 1, pp. 1-13, Jul.2016.

[16] M. Dai, J. Yuan, etal, "A power allocation method for 2×2 VLC-MIMO indoor communication," Optical Review,vol. 23, no. 4, pp. 678-682, Aug. 2016.

[17] J. Zhong, Y. F. Feng, M. Dai, "A biologically inspired improvement strategy for particle filter: Ant colony optimization assisted particle filter," International Journal of Control Automation and Systems,vol. 8, no. 3, Jun. 2010.

[18] R. Feng, M. Dai*, and H. Wang, "Distributed beamforming in MISO SWIPT system," IEEE transactions on Veh. Technol., vol. 66, no. 6,pp. 5440-5445, Jun. 2017.

[19] F. Ding, H. Wang, S. Zhang, and M. Dai, "Multiuser untrusted relay networks with joint cooperative jamming and opportunistic scheduling under perfect and outdated CSI," Electronics Letters, vol. 52, no. 23, pp. 1925-1927, Nov. 2016.

[20] M. Dai, S. Zhang, H. Wang, S. Jin, "A low storage room requirement framework for distributed ledger in blockchain," IEEE Access, vol. 6, no. 3, pp. 22970-22975, Mar. 2018.

[21] M. Dai, B. Mao, X. Gong, C. W. Sung, W. Zhuang, X. Lin, "Zigzag-division multiple access for wireless networks with long and heterogeneous delays," IEEE transactions on Aerospace and Electronic Systems, vol. 55, no. 6, pp. 2822-2835, Dec. 2019.

[22] M. Dai, Z. Zheng, et al, "SAZD: A low computational load coded distributed computing framework for IoT systems," IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3640-3649, Apr. 2020.

[23] Z. Zhang, K. Zhang, Z. Peng, D. Zeng, and M. Dai, "Velocity analysis of BP decoding waves for SC-LDPC ensembles on BMS channels: An interpolation-based approach," IEEE transactions on Commun., vol. 68, no. 6, pp. 3286-3301, Jun. 2020.

[24] M. Dai, H. Deng, et al, "Design of binary erasure code with triple simultaneous objectives for distributed edge caching in industrial internet of things networks," IEEE transactions on Industrial Informatics, vol. 16, no. 8, pp. 5497-5504, Aug. 2020.

[25] M. Dai, S. Lu, et al, "Error correction CP-BZD storage codes for content delivery in drive-thru internet," IEEE transactions  on Intelligent Transportation Sys.,vol. 21, no. 11, pp. 4869-4882, Nov. 2020.

[26] M. Dai, Z. Zheng, et al, "Edge Computing-Aided Coded Vertical Federated Linear Regression," IEEE transactions on Cognitive Communications and Networking,vol. 8, no. 3, pp. 1543-1551, Sep. 2022.

[27] M. Dai, Z. Zhang, et al, "PID controller-based adaptive gradient optimizer for deep neural networks," IET Control Theory & Applications,vol. 17, pp. 2032-2037, Nov. 2022.

[28] M. Dai, J. Yuan, et al, "Distributed encoding and updating for SAZD coded distributed training," IEEE transactions on Parallel and Distributed Systems,vol. 34, no. 7, pp. 2124-2137, Jul. 2023.

[29] M. Dai, Z. Zhang, et al, "2D-SAZD: A novel 2D coded distributed computing framework for matrix-matrix multiplication," IEEE transactions  on Services Computing,vol. 17, no. 3, pp. 705-717, Jun. 2024.

[30] S. Li, M. Dai*, et al, "MMPC-Net: Multi-Granularity and Multi-Scale Progressive Contrastive Learning Neural Network for Remote-Sensing Image Scene Classification," IEEE GeoScience and Remote Sensing Letters,vol. 21, pp. 1-5, May 2024.

[31] M. Dai, J. Zhang, et al, "Real Field Error Correction for Coded Distributed Computing based Training," to appear in IEEE transactions on Cognitive Communications and Networking, 2024.

[32] M. Dai, S. Li, et al, "A feedback control framework approach to federated learning with adaptive optimizer," to appear in IEEE transactions on Vehicular Technology, 2025.

[33] S. Li, M. Dai*, et al, "Fed-PID: An adaptive learning rate scheduler for federated learning with PID controllers," to appear in IEEE transactions on Cognitive Communications and Networking, 2025.

[34] S. Li, M. Dai*, et al, “Distributed Unsupervised Representation Learning for Remote Sensing Image Classification,” to appear in IEEE Trans. on Geoscience and Remote Sensing, 2025.

[35] S. Li, M. Dai*, et al, “FedConsDG: Divergence-Aware Federated Distillation via Consensus-Diversity Generative Learning,” to appear in IEEE Trans. on Network Science and Engineering, 2025.

部分會議論文：

[1] K. Zhang, M. Dai, D. Zeng, Z. Zhang, “Decoding wave velocity analysis for SC-LDPC ensembles on BMS channels using interpolation,”Proc. Int. Symp. on Wireless Commun. Sys. (ISWCS), pp. 32-37, Nov. 2019.

[2] M. Dai,S. Huang, J. Zhong,and et al, "Influence of noise on transfer learning in Chinese sentiment classification using GRU,"Int. Conf. On Natural Comput., Fuzzy Sys. And Knowledge Discovery, Guilin, China, Jul. 2017.

[3] J. Zhong,R. Novianto, M. Dai,and et al, "A hierarchical emotion regulated sensormotor model: Case studies,"Control and Decision Conf., pp. 4965-4970, Yinchuan, China, May 2016.

[4] M. Dai, Y. Kong,and et al, "A fully distributed training for class incremental learning in multihead networks," IEEE Infocom Conf.(PerAI-6G), Jan. 2023.

[5] M. Dai, G. Xu, and et al, "PID controller-based adaptive federated learning," IEEE ICCC, Aug. 2024.

[6] S. Kianoush, A. Minora, S. Savazzi, M. Dai, "A Federated Learning Approach For Operator Monitoring in Heterogeneous Cobot Environments," IEEE  International Conference on Emerging Technologies and Factory Automation Conf. (ETFA),  2024.

學(xué)術(shù)服務(wù)：

Associate Editor: Internet Technology Letters

辦公室(office)：N905

辦公電話(Telephone no.)：+86-755-86960983

E-mail：mjdai@szu.edu.cn