ZENG Sanyou

Mailing Address

Mailing address: Department of Communication Engineering, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)

Postal code: 430074
Tel: 15327265227
Email: sanyouzeng@qq.com

 Personal Profile

Zeng Sanyou, male, professor, doctoral supervisor, doctor in Computer Software and Theory, Wuhan University, is mainly engaged in the research on intelligent optimization and machine learning, as well as their applications in the field of electronic information.

He has published nearly 200 research papers on artificial intelligence and application, and has published 14 papers in top journals in the field of evolutionary computation and antennas, such as IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions on Cybernetics, Information Sciences and IEEE Transactions on Antennas and Propagation.

He has successively presided over 6 national programs and many other programs. He has won 1 first prize of Municipal Science and Technology Progress Award, 1 second prize of Provincial Science and Technology Progress Award, and 1 third prize of the Provincial Natural Science Award. Fully-funded by China Scholarship Council, he worked as a visiting scholar at University of Essex and University of Surrey from Feb. 2011 to Feb. 2012.

He is an editorial board member of International Journal of Bio-Inspired Computation.

Under his guidance, the undergraduates have won 2 national second prizes and 1 third prize, 2 provincial grand prizes, 1 provincial first prize and 1 provincial second prize in the Challenge Cup, and many provincial excellent bachelor theses. Almost all of his postgraduates have been employed by HIKVISION, Microsoft, Tencent, Alibaba, Baidu, NetEase, UnionPay and other large enterprises or universities, or studied abroad. He had been recognized as a good teacher and friend for graduate students and the three-education model.

Recruitment Directions for Master's and Doctoral Programs

1. Intelligent optimization and machine learning and its architecture

2. Development and maintenance of intelligent antenna optimization software system based on machine learning

3. Smart mining software development

4. Optimization design of antennas, millimeter wave radars, integrated circuits, etc

Research Information

· Intelligent optimization and machine learning and its architecture

Intelligent optimization and machine learning are equivalent to each other:

Machine learning emphasizes the form of knowledge structure and is actually an optimization-seeking process;

Intelligent optimization emphasizes the process of acquiring knowledge and, through learning, updating optimization models and search mechanisms;

Both output the optimal solution.

· Industry-university-research joint training enterprises

1. FiberHome Telecommunication, No. 57 Institute of ***, No. 8511 Institute of ***, No. 784 Plant of ***

2. Shenzhen Tianding Microwave Academician Workstation

· Programs as the principal investigator

1. ******Program: Research on***** optimization simulation technology based on deep learning mechanism (2019/11-) as the PI, rolling funding.

2. Enterprise-sponsored program: Development of 77G millimeter wave radar (2020/12-2023/12)

3. Guiding the program of student independent innovation pilot team: Intelligent optimization technology of data-driven UWB antenna (2019/12- 2021/12)

4. Program supported by Astronautical Supporting Technology Foundation of China: Development of miniaturized wideband aircraft antenna based on evolutionary algorithm and 3D printing technology (2018/04-2019/04).

5. Program supported by the National Natural Science Foundation of China: Model driven dynamic multi-objective evolutionary algorithm and its application in the optimization design of satellite antenna for solving time consumption (2013/01-2016/12), Program grant No.: 61271140.

Authoritative journal papers (first or corresponding author)

Hu Caie (postgraduate), Zeng Sanyou (corresponding author), Li Changhe. An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates[J]. Evolutionary Computation, 2023, 31(1): 53-71 (MIT Press, top journal in swarm intelligence computing).

Sanyou Zeng, Xiuqing Yang, Changhe Li, and Fei Zhao. A Fast Descent Search Algorithm for Shaped Beam Synthesis with the Desired Field Phases as Design Variables[J]. IEEE Transactions on Antennas and Propagation, 2023. DOI 10.1109/TAP.2023.3243777 (top journal in antenna field).

Haihua Xie (postgraduate), Sanyou Zeng (corresponding author), and Yiqin Chen. A Lightweight Mid-range Arm-gesture Recognition System from mmWave Radar Point Clouds. IEEE Sensors Journal, 2023, 23(2): 1261-1270 (Top 15% of journals in electronics).

Jing-Yu Ji (undergraduate), Sanyou Zeng (corresponding author), Man Leung Wong. ε-Constrained Multiobjective Differential Evolution Using Linear Population Size Expansion[J]. Information Sciences, 609 (2022) 445–464 (top journal in information system).

Hu Caie (postgraduate), Zeng Sanyou (corresponding author), Li Changhe, et al. On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems[J]. IEEE Transactions on Cybernetics, 2021. DOI: 10.1109/TCYB.2021.3120188,online (top journal in the artificial intelligence).

Ruwang Jiao (postgraduate), Sanyou Zeng (corresponding author), Changhe Li, Shengxiang Yang, Yew-Soon Ong. Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Transactions on Cybernetics, 2021, 51(10): 4834-4847 (top journal in the artificial intelligence).

Jiao Ruwang (postgraduate), Zeng Sanyou (corresponding author), Li Changhe, Ong Yew-Soon, Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization, Information Sciences, 2021, 578(2021) : 592-614 (top journal in information system).

Xu Qinghui (postgraduate), Zeng Sanyou, Fei Zhao, Jiao Ruwang, and Li Changhe, “On Formulating and Designing Antenna Arrays by Evolutionary Algorithms”,  IEEE Transactions on Antennas and Propagation, 2021, 69(2): 1118-1129 (the best journal in antenna field).

Ruwang Jiao (postgraduate), Sanyou Zeng (corresponding author) , Changhe Li, A Feasible-Ratio Control Technique for Constrained Optimization, Information Sciences (top journal in information system).

Caie Hu (postgraduate),  Sanyou Zeng (corresponding author), Yuhong Jiang,Yongzhi Sun, Yuhong Jiang and Steven Gao. A Robust Technique without Additional Computational Cost in Evolutionary Antenna Optimization, IEEE Transactions on Antennas & Propagation (the best journal in antenna field).

Ruwang Jiao (postgraduate), Sanyou Zeng (corresponding author), Changhe Li, Yuhong Jiang, Yaochu Jin, A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization, Information Sciences, , 471 (2019) :80–96 (top journal in information system).

Zeng Sanyou, Jiao Ruwang, Li Changhe, Wang Rui. Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem [J]. International Journal of Bio-Inspired Computation, 2019, 13(2):86-101.

Li Changhe, Nguyen  Trung Thanh,Zeng Sanyou,Yang  Ming,Wu, Min, An Open Framework for Constructing Continuous Optimization Problems, IEEE Transactions on Cybernetics, 2019,49(6): 2316-2330 (top journal in the artificial intelligence).

Zhang Qing, Zhao Fei, Zeng Sanyou, Dynamic HypE for solving single objective optimisation problems, International Journal of Innovative Computing and Applications, 2019, 10(1): 51-58

Sanyou Zeng, Ruwang Jiao, Changhe Li, Member, IEEE, Xi Li, and Jawdat S. Alkasassbeh, A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization[J]. IEEE Transactions on Cybernetics, 2017, 47(9):2678-2688 (top journal in the artificial intelligence).

Ruwang Jiao (postgraduate), Sanyou Zeng (corresponding author), Jawdat S. Alkasassbeh, Changhe Li, Dynamic multi-objective evolutionary algorithms for single-objective optimization [J]. Applied Soft Computing, 2017, 61(2017): 793-805 (Top 15% in artificial intelligence).

Sanyou Y.Zeng, Lishan S.Kang, Lixing X.Ding. An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints [J]. Evolutionary Computation, 2004, 12(1): 77-98 (MIT Press, top journal in evolutionary computing).

Teaching

1. Mathematical fundamentals of artificial intelligence

2. Intelligent optimization

3. Microwave and Antenna

4. Computation method

5. Discrete mathematics

6. Data structure

7. C Programming

Academic Activities

From February 2022 to February 2023, doctoral student Cai’e Hu visited the Intelligent Optimization and Learning team of Dr. Yew-Soon Ong, an IEEE Fellow, at Nanyang Technological University, Singapore for one-year research under the full funding of the China Scholarship Council.

From February 2021 to present, Dr. Ruwang Jiao has been working as a postdoctoral fellow in the Intelligent Optimization and Learning Team of Dr. Mengjie Zhang (an IEEE Fellow) at Victoria University of Wellington, New Zealand.

From November 20 to 21, 2021, he attended the 12th International Symposium on Intelligence Computation and Applications (ISICA 2021) in Guangzhou and presented a paper at the conference.

He participated in the National Antenna Annual Conference in Ningbo from October 24th to 27th, 2021, and presented two papers at the conference.

On December 10, 2020 (Thursday), Prof. Zhan Zhihui, an Excellent Young Scientist from the School of Computer Science and Engineering, South China University of Technology, was invited to give an academic presentation at the School, focusing on the research on evolutionary computing methods for multi-peak optimization.

On December 19, 2020 (Saturday), Prof. Che Wenquan, a National Distinguished Young Scholar from the School of Electronic Information and Engineering, South China University of Technology, was invited to give an online academic presentation on the research of multifunctional metasurface antenna technology.

The doctoral student Ruwang Jiao attended the 2019 IEEE Congress on Evolutionary Computation (CEC) held in New Zealand from June 10 to 13, 2019 and gave an oral presentation.

From September 2019 to March 2020, doctoral student Ruwang Jiao visited the Intelligent Optimization and Learning team of Dr. Yew-Soon Ong, an IEEE Fellow, at Nanyang Technological University, Singapore for six-month study and research.

The doctoral student Ruwang Jiao attended 2018 Genetic and Evolutionary Computation Conference (GECCO) held in Kyoto, Japan from July 15 to 19, 2018 and gave an oral presentation.

From October 2017 to October 2018, doctoral student Yuhong Jiang visited the Expensive Evolution Research Team of Dr. Yaochu Jin (an IEEE Fellow) at Surrey University for one-year research.