Personal Biography:

Yang Xiaojun, male, professor, deputy dean of the School of Information Engineering of Guangdong University of Technology, Guangdong Province young top-notch talents, Guangdong University of Technology “young 100”, mainly engaged in target detection, artificial intelligence, autonomous robots and other aspects of the research; undertake digital signal processing, machine learning and other courses. He has won one second prize and two third prizes for scientific and technological progress in the army. In the past five years, he has published more than 30 academic papers at home and abroad, including 20 SCI-recorded papers as the first author or corresponding author; he has applied for 25 patents, 5 of which have been authorized, and 3 of which have been authorized as soft writings. In the past five years, he has presided over more than 10 military and local projects, with a presiding fund of more than 10 million yuan; he has guided undergraduates to obtain one national award, three provincial awards and 12 university-level competitions.

Field of study:

Scientific Degree: Information and Communication Engineering

Professional Degree: Electronics and Communication Engineering

Scientific Research Direction: Intelligent Cooperative Sensing and Processing

Subject I: Research on Artificial Intelligence Algorithms

Focusing on methodical research on machine learning, deep image processing, etc., with sufficient computational resources. In the past five years, 20 SCI papers have been published.

Subject II: Knowledge Graph and Recommender System Based on Big Data

Focuses on the application of big models in artificial intelligence methods, which have been applied in the fields of intelligent medical care, digital law, and architectural mapping.

Subject III: Multi-intelligence (robots, drones, etc.) Collaboration and Confrontation

Focusing on the research of multi-intelligent body cooperative detection and confrontation, with several robots of different functions and three national awards.

Graduate Training: In the past five years, the team has published 20 SCI papers, including 3 first-tier papers, 10 second-tier papers, and 6 highly cited or TOP papers; 1 person in the University's Elite Innovation Talent Cultivation Program, 2 in the Excellence Program; received first-class scholarships 16 times, second-class scholarships 20 times, and third-class scholarships 19 times; applied for 25 invention patents, with 5 authorized invention patents and 3 software copyrights. Graduates have received offers from ByteDance, Tencent, Baidu, and other top companies; we focus on team atmosphere construction and actively organize various activities, resulting in strong student cohesion.

Undergraduate Training: Serving as the instructor for the Xiaoping Innovation Team, I have guided undergraduates to win 1 first prize and 1 third prize in national competitions, 3 provincial competitions, and 12 university-level awards, including 1 Silver Award and 2 Bronze Awards in the university-level Challenge Cup, 7 innovation projects, and 2 Internet+ projects.

Educational Background:

September 2006 - June 2010 Ph.D., Institute of Automation and Information Technology, Rocket Force Engineering University of the PLA (Tsinghua University joint training).

September 2003 - March 2003 PLA Rocket Force Engineering University, Military Intelligence, Master's Degree

September 1999 - June 2003 Rocket Force Engineering University of the Chinese People's Liberation Army. Department of Test and Control Engineering, B.S.

Work Experience:

01/2018-Present Guangdong University of Technology, School of Information Engineering, Prof.

2013-July 2017 Second Artillery Engineering University, Associate Director

Academic Adjunct:

Serving as reviewer for IEEE Transactions Neural Networks and learning system, IEEE Transactions on Multimedia and other domestic and international journals.

Major Honors:

1. 2018, 1 second prize of the People's Liberation Army Army Science and Technology Progress Award

2, 2015, 1 first-class prize and 1 third-class prize of Army Military Doctrine Progress

3, 2015, 1 third prize of Army Science and Technology of the Chinese People's Liberation Army

4. 2010, 1 Third-class prize of Army Science and Technology of the Chinese People's Liberation Army (PLA)

5. 2013, 1 first prize of teaching achievement award of Second Artillery Engineering University

Main Publications:

2015 Northwestern Polytechnical University Press “Single Station Passive Positioning Technology under Uncertainty” First author

2015 Textbook of Second Artillery Engineering University Modern Reconnaissance and Surveillance First author

Main papers:

[1] Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie. Fast spectral clustering with self-adapted bipartite graph learning[J]. Information Sciences, 2023, doi:10.1016/j.ins.2023.03.035. (SCI, CAS Region I)

[2] Jianxiang Xi, Cheng Wang, Xiaojun Yang*. Limited-budget output consensus for descriptor multiagent systems with energy constraints[J]. IEEE Transactions on Cybernetics, 2021, 50(11): 4585-4598. (SCI, Chinese Academy of Sciences, Region I, Corresponding Author, Highly Cited)

[3] Xiaojun Yang, Guoquan Lin, Feiping Nie and Liang Lin, Fast spectral embedded clustering based on structured graph learning for large scale hyperspectral image. IEEE Geosci. Remote Sens. Lett., 2022, 19, doi:10.1109/LGRS.2020.3035677. (SCI, Chinese Academy of Sciences Region II, Highly Cited Paper)

[4] Xiaojun Yang, Junhong Gong, Lianpei Wu, Zhijing Yang, Yukai Shi, Feiping Nie. Reference-free low-light image enhancement by associating hierarchical wavelet representations, Expert Systems with Applications, 2022, doi.org/10.1016/j.eswa.2022.118920.(SCI, CAS Region II)

[5] Xiaojun Yang, Mingjun Zhu, bo Sun, zheng Wang, Feiping Nie, Fuzzy C-Multiple-Means Clustering for Hyperspectral Image, the IEEE Geoscience and Remote Sensing Letters, 2023, (SCI, CAS Region 2)

[6] Xiaojun Yang, Xiaobei Hunag, Feiping Nie, Ensemble and Random RX with Multiple Features Anomaly Detector for Hyperspectral Image, IEEE Geoscience and Remote Sensing Letters, 2022, doi:10.1109/LGRS.2022.3167758.(SCI, CAS Region 2)

[7] Xiaojun Yang, Siyuan Li, Feiping Nie, Optimization of joint spectral embedding and clustering for structural graphs, Neurocomputing, 2022. (SCI, CAS Region II)

[8] Xiaojun Yang, Yuxiong Xu, Yijun Liu, Fuzzy embedding clustering of large-scale hyperspectral images based on bipartite graphs, IEEE Geosci. Remote Sens. Lett. doi:10.1109/LGRS.2021.3073035. (SCI, Region II, Chinese Academy of Sciences)

[9] S.J. Yang, L.J. Liao, and J.X. Xi, “Finite Energy Output Formation for Intermittently Interacting Multi-Agent Systems,” Accepted for Publication, Journal of the Franklin Institute, 2021, 358(13): 6462-6489. (SCI, Region II, CAS)

[10] Xi JX, Wang L, Zheng JF, Yang SJ*. Energy constraint formation for multiagent systems with switching interaction topology, Proceedings of the IEEE Circuits and Systems (I: Regular Papers, 2020, 67(7): 2442-2454. (SCI, CAS II, Corresponding author).

[11] Xiaojun Yang, Weizhong Yu, Wang Rong, Feiping Nie. Fast spectral clustering learning with hierarchical bipartite graph for Large-Scale Data, Pattern Recognition Letters, 2020, 130:45-345. Pattern Recognition Letters, 2020, 130:345-352. ( SCI, CAS III, Highly Cited)

[12] Xinli Yin, Bailong Yang, Jianxiang Xi, Xiaojun Yang*. Guaranteed cost synchronization for second-order wireless sensor networks with given cost budgets, Journal of the Franklin Institute, 2019, 356(7). 4061-4075. ( SCI, CAS Region II, Corresponding author).

[13] Yijun Liu, Yongda Cai, Xiaojun Yang*, Feiping Nie. Fast adaptive neighbors clustering via embedded clustering, Neural Computing, 2020, 399: 331- 341. (SCI, CAS Region II, Corresponding author).

Intellectual Property:

[1] Xiaojun Yang, Yun Li, Xingjin Lai, “Big data classification method and system”, Patent granted, ZL202110157162.6.

[2] Xiaojun Yang and Keyi Zhou, “Image clustering method and system”, authorized patent, ZL202110572329.5.

[3] Xiaojun Yang, Penglin Du, Chunbing Guo, Yuxiong Xu, Yongda Cai, Xiaobei Huang, “A hyperspectral image clustering method, device, apparatus and storage medium,” Patent granted, ZL202010621828.4.

[4] Xiaojun Yang, Yuxiong Xu, Chunbing Guo, Yongda Cai, Ke Liang, Xiaobei Huang, “A fuzzy clustering method and device based on anchor graph”, Authorized Patent, ZL202010554321.1.

[5] Xiaojun Yang, Ke Liang, and Rong Wang, “An image dimensionality reduction method,” Authorized Patent, ZL201910959811.7.

[6] Xiaojun Yang, Shijie Zhong, Bolin Zeng, and Haibo Min. Open source big data knowledge graph recommendation system, Software Copyright, 2023SR0680164.

[7] Yanghui Wu, Xiaojun Yang. UAV operation management software, Software Copyright, 2022SR0881169.

[8] Yang Xiaojun, Du Penglin, Guangdong Yunju Medical Technology Co. and Liu Hongjie. Medical big data analysis system based on cluster analysis, software copyright, 2021SR1599849.

Scientific research projects:

1. National Natural Science Foundation of China (NSFC), Research on Distributed UAV Swarm Tracking Methods under Model Uncertainty Constraints, 2023, Chair;

2. Open Fund of Key Laboratory of National University of Defense Technology, Knowledge Graph-based Linked Analysis and Recommendation of Open Source Software, 2021, presided;

3. Guangzhou Key Fund, Precision Treatment Strategy for Preventing Postoperative Recurrence of Rectal Cancer Based on Migration Learning of Imaging Features, 2021, subject leader;

4. Guangdong Teaching Quality and Teaching Reform Project, Artificial Intelligence Innovative Talent Cultivation Program, 2021, presided;

5. Guangdong Provincial Specialist Program, Medical Big Data Mining and Analysis Based on Physician Partnership, 2020, presided.

Teaching Activities:

Undergraduate courses: digital signal processing, machine learning (Tengchuang class)

Graduate courses: machine learning methods and their applications in big data