董燕,现任华中科技大学电子信息与通信学院教授。1997年毕业于西安电子科技大学,获信号与信息处理专业工学硕士学位,2007年毕业于华中科技大学获通信与信息系统工学博士学位。2005年澳大利亚悉尼大学访问学者。2009年微软亚洲研究院青年访问教师。在无线通信系统、卫星通信网络、自适应传输、无线传感器网络等领域,近年来承担了包括国家自然科学基金重大研究计划、重点项目、十三五航天系统、十二五总装预研、科技部重点研发计划、装备预研教育部联合基金、国家863计划等在内的二十余项国家级课题。担任国家自然科学基金委、教育部、航天系统部等评审专家,电子学报、IEEE TCOM/TMC等学术期刊审稿专家以及多个国际会议的TPC成员或评审人。中国图象图形学学会高级会员,视频通信专委会理事。在国内外主要刊物上发表SCIEI收录学术论文40多篇,授权国家技术发明专利15项。

招生方向:招收通信信号处理、调制编码、机器学习、5G应用、自组网方向研究生、博士生、博后等

招生要求:如果你是一个充满好奇心,喜欢探索未知,具有自我驱动力的人,欢迎加入我们!

个人主页:http://eic.hust.edu.cn/professor/dongyan/

邮箱:    dongyan@mail.hust.edu.cn

 

主持/参加的相关项目:

[1]   联合基金、宽带高效调制技术,主持。

[2]   教育部联合基金、基于深度学习的复杂机电装备系统健康监测与管理,主持。

[3]   专用技术项目、大容量 MIMO传输技术

[4]   国家自然科学基金重大研究计划重点项目、空地网络协同信息分发的传输模型与关键技术。

[5]   863计划、空天信息网络接入技术,主持。

[6]   重点项目、信道自适应编码调制、解调技术,主持。

[7]   国家自然科学基金重点项目、基于无线网络的应急搜救关键技术研究、主持。

 

近年发表论文:

 

[1]   W. Chen, F. Lu and Y. Dong, Improved Expression for Rank Distribution of Sparse Random Linear Network Coding, in IEEE Communications Letters, vol. 25, no. 5, pp. 1472-1476, May 2021.

[2]   F. Lu, Y. Dong and C. W. Chen, "Layered Decoding Algorithm and Two-Level Quasi-Cyclic Matrix Construction for Rate Compatible Modulation," IEEE Trans. Circuits Syst. I Reg. Papers, vol.66, pp. 3213 - 3226, Aug. 2019.

[3]   W. Chen, F. Lu and Y. Dong, "The Rank Distribution of Sparse Random Linear Network Coding," IEEE Access, vol. 7, pp. 43806-43819, March, 2019.

[4]   K. Peng, J. Du, F. Lu, Q. Sun, Y. Dong, "A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery," in IEEE Access, vol. 7, pp. 49191-49200, 2019.

[5]   L. Wen, Y. Dong and L. Gao, “A New Ensemble Residual Convolutional Neural Network for Remaining Useful Life Estimation”, Mathematical Biosciences and Engineering, 16(2): 862-880, 2019.

[6]   L. Wen, L. Gao, Y. Dong and Z. Zhu, “A Negative Correlation Ensemble Transfer Learning Method for Fault Diagnosis based on Convolutional Neural Network,” Mathematical Biosciences and Engineering, 16(5):3311-3330, 2019.

[7]   Feng Feng, Yuqiu Zhou, Yu Zhao, Fang Lu and Yan Dong, “An constant envelope RCM signal,” 空间信息网络会议, 乌镇,Sept. 2019.

[8]   Wengui Rao, Yan Dong, Shaoping Chen, Fang Lu and Shu Wang, “Low- complexity rate compatible modulation with hybrid weight set,” China Commun., Nov. 2019.

[9]   F. Lu, Y. Dong, C. W. Chen, "Fully-parallel stochastic decoder for rate compatible modulation", IEEE Trans. Circuits Syst. I Reg. Papers, vol. 65, no. 10, pp. 3555-3567, Oct. 2018.

[10]             F. Lu, Y. Dong, W. G. Rao, C. W. Chen, "Low complexity decoding algorithms for rate compatible modulation", IEEE Access, vol. 6, pp. 31417-31429, 2018.

[11]             Wengui Rao, Yan Dong*, Shaoping Chen, Fang Lu, and Shu Wang. Rate compatible modulation with variable weight sets. in IEEE Access, Vol 6pp. 5064-5074, Dec. 2018.

[12]    Jiang, G., Shen, Y., Chen, J. Yan, D., Fang, L., “Wireless Network Egocentric network focused community aware multicast routing for DTNs.” Wireless Netw (2018) 24: 1217.

[13]    Run Zhe Hu, Fang Lu, and Yan Dong, “Relaxed half-stochastic iterative decoding for rate compatible modulation,” in APCCAS 2018.

[14]    Lu, Fang, Yan Dong, and Wengui Rao. "A Parallel Belief Propagation Decoding Algorithm for Rate Compatible Modulation." IEEE Communications Letters, 21(8):1735-1738, 2017.  

[15]    Zeng, Bing; Dong, Yan; Li, XinyuIHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm, International journal of distributed sensor networks, 11(13), 2017.

[16]    Zeng, Bing, Yan Dong*. "An improved harmony search based energy-efficient routing algorithm for wireless sensor networks." Applied Soft Computing,Q1 41 (2016): 135-147. (2018ESI 高被引)

[17]    Wang, Chen, Hongbo Jiang, and Yan Dong*. "Connectivity-Based Space Filling Curve Construction Algorithms in High Genus 3D Surface WSNs." ACM Transactions on Sensor Networks (TOSN) 12.3 (2016): 22.

[18]    Pan, Quan-Ke, and Yan Dong*. "An improved migrating birds optimisation for a hybrid flowshop scheduling with total flowtime minimisation." Information Sciences 277 (2014): 643-655.

[19]    Sun, Jingming, Shu Wang, and Yan Dong. "Sparse block circulant matrices for compressed sensing." IET Communications 7.13 (2013): 1412-1418.

[20]    Sun, Jingming, Shu Wang, Yan Dong, and Yuheng Huang. "Non-binary sparse measurement matrices for binary signal recovery." Circuits, Systems, and Signal Processing 33, no. 3 (2014): 895-908.

[21]    Wengui Rao, Fang Lu, Shaoping Chen, Yan Dong* and Shu Wang, Low-Complexity Rate Compatible Modulation via Variable Weight Sets, IEEE Globecom, Dec. 2014.

[22]    F. Lu, W. G. Rao, Y. Dong, "FPGA-based implementation of binary input compressive sensing decoder", Proc. MECO, pp. 52-55, Jun. 2014.

[23]    Yuheng Huang, *Yan Dong, *Minho Jo and Yingzhuang Liu, "Selective Demodulation Scheme Based on Log-Likelihood Ratio Threshold," KSII Transactions on Internet and Information Systems, vol. 7, no. 4, pp. 767-783, 2013.

[24]    Wengui Rao, Yan Dong, Fang Lu ,Shu Wang, Log-Likelihood Ration Algorithm for Rate Compatible Modulation, IEEE ISCAS, April. 2013