Distinguished Associate Professor/Master Supervisor, CUG Scholar (A)
Room 207 of Department of Electronic Information Engineering (No.2 Teaching Building)
School of Mechanical Engineering and Electronic Information
China University of Geosciences (Wuhan)
Email: liyingyu29@cug.edu.cn
Research Interests:
Next-generation wireless networking technologies, machine learning and artificial intelligence, semantic communication networks, federated edge intelligence, distributed optimization, green communication networks, Industrial Internet and Internet of Things.
Admissions Information:
The research group welcomes students who have good foundation in mathematics and are interested in scientific research to apply for the program, and also welcomes excellent undergraduate students for exchange and study.
Education:
2014.09~2016.09: Joint PhD at niversity of Houstion
2012.08~2018.09: PhD at School of Artificial Intelligence, Xidian University
2008.08~2012.07: Bachelor at School of Electronic Engineering, Xidian University
Employment History:
2021.12: Associate Professor at the Department of Electronic Information Engineering, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)
2018.10~2021.11: Postdoc at the School of Electronic Information and Communications, Huazhong University of Science and Technology
Academic Services:
Technical Program Committee Member:
International Conference on Wireless Communications and Signal Processing (WCSP), 2020, 2023
Session Chair:
The 12th International Conference on Wireless Communications and Signal Processing (WCSP), 2020;
Session: UAV-Based 5G/B5G
Reviewer for Journals and Conferences:
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Mobile Computing
IEEE Communications Magazine
IEEE Wireless Communications Magazine
IEEE Network
IEEE Transactions on Vehicular Technology
IEEE Internet of Things Journal
IEEE Transactions on Big Data
IEEE Communications Letters
International Conference on Wireless Communications and Signal Processing (WCSP)
IEEE Wireless Communications and Networking Conference (WCNC)
International Conference on Computing, Networking and Communications (ICNC)
IEEE/CIC International Conference on Communications in China (ICCC)
Visual Communications and Image Processing (VCIP)
Advised Graduate Students:
Grade 2022: DAI Yiming, LIANG Che, RAO Jiangying
Grade 2023: WANG Lian, HE Shengtao, CHEN Siyi
Co-advised doctoral student: Alaa Abdulmalik
Mentored Undergraduate Students:
Grade 2022: 07D224 class teacher
Grade 2021: TANG Guoqing, DENG Xueqi, LEI Qi
Grade 2020: ZHOU Haoran
Grade 2019: WANG Lian, CUI Haoyu, CHENG Guo, LUO Changsheng, CHEN Xiaolong
Grade 2018: PENG Xinglong
Teaching:
Advanced Sensing and IoT Technologies in fall 2022 and fall 2023
Research Projects:
National Natural Science Foundation of China, Youth Science Fund, 62301516: Model-driven carbon emission modeling and optimization for heterogeneous federated edge intelligent networks, 2024/01-2026/12, RMB 300,000Yuan, PI, under study;
Project supported by Hubei International Science and Technology Cooperation Program: Development and application of cloud-side collaborative intelligent operation and maintenance system for complex scenarios of communication engineering in Indonesia, 2023-2025, RMB 500,000Yuan; project leader, under study;
Project supported by National Key Research and Development Program, 2022YFB2903201, Architecture design and verification of low-power and low-complexity coherent optical transmission system, 2022/11-2025/10, under study, participant;
Project supported by Hubei International Science and Technology Cooperation Program, 2021EHB015: “Research and development of AI key technologies and cloud platform for next generation communication network”, 2021-2023, RMB 300,000Yuan, project leader, under study;
National laboratory major research subject,****Basic Theory and Key Technologies,06/2021-06/2023, participant, under study;
China Postdoctoral Science Foundation, the 67th batch of general program: “Collaborative intelligent adaptation of resources for differentiated needs of next-generation smart IoT”, approved in July 2020, RMB 80,000Yuan, PI, concluded;
Department of Human Resources and Social Security of Hubei Province, merit-based funding for postdoctoral science and technology activity projects: “Research on low-power communication mechanism and algorithm based on multi-connection sharing in Internet of Things”, approved in December 2019, RMB 20,000Yuan, PI, concluded;
National Natural Science Foundation of China, General Program: “Research on sparse representation theory and quality enhancement techniques for deep data structures”, 2015/01 - 2018/12, RMB 830,000Yuan, participant, concluded;
National Natural Science Foundation of China, General Program: “Research on the mechanism and method of high-resolution spectral video acquisition based on hybrid coding perception”, 2014/01- 2017/12, RMB 800,000Yuan, participant, concluded;
National Natural Science Foundation of China, Youth Science Fund: “Research on agile hyperspectral image acquisition method for forest guardianship”, 2014/01 –2016/12, RMB 210,000Yuan, participant, concluded.
Journal Papers:
Yong Xiao, Yiwei Liao, Yingyu Li, Guangming Shi*, H. Vincent Poor, Walid Saad, Merouane Debbah, and Mehdi Bennis, "Reasoning over the Air: A Reasoning-based Implicit Semantic Communication Framework," accepted at IEEE Transactions on Wireless Communications (TWC).
Yong Xiao; Xiaohan Zhang; Yingyu Li*; Guangming Shi; Marwan Krunz; Diep N. Nguyen; DinhThai Hoang; Time-sensitive Learning for Heterogeneous Federated Edge Intelligence, online at IEEE Transactions on Mobile Computing, 2023.
Yong Xiao, Rong Xia, Yingyu Li*, Guangming Shi, Diep N. Nguyen, Dinh Thai Hoang, Dusit Niyato, and Marwan Krunz, "Distributed Traffic Synthesizing and Classification Over Network Edge: A Federated Self-supervised Learning Approach," online at IEEE Transactions on Mobile Computing, 2023.
Guangming Shi*, Yong Xiao, Yingyu Li, and Xuemei Xie, "From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems," IEEE Communications Magazine, vol. 59, no. 8, pp. 44-50, August 2021.
Guangming Shi*, Yong Xiao, Yingyu Li, Dahua Gao and Xuemei Xie. “Semantic communication networking for the intelligence of everything”. Chinese Journal on Internet of Things; 2021, 5(2):26-36. (Outstanding Paper of Chinese Journal on Internet of Things)
Yong Xiao, Guangming Shi, Yingyu Li*, Walid Saad, and H. Vincent Poor, “Toward Self-Learning Edge Intelligence in 6G”, IEEE Communications Magazine, Volume: 58, Issue:12, pp. 34-40, December 2020.
Qiang Li, Yuanmei Zhang, Yingyu Li*, Yong Xiao, and Xiaohu Ge, “Capacity-Aware Edge Caching in Fog Computing Networks”, IEEE Transactions on Vehicular Technology, Volume: 69, Issue: 8, pp. 9244 - 9248, August 2020.
Yingyu Li, Guangming Shi*, Wotao Yin, Lanchao Liu, and Zhu Han,“A Distributed ADMM Approach with Decomposition-Coordination for Mobile Data Offloading,” in IEEE Transactions on Vehicular Technology, Volume: 67, Issue: 3, pp. 2514 - 2530, March 2018.
Guangming Shi*, Yingyu Li, and Xuemei Xie, “Semantic Communications: Outcome of the Intelligence Era”. Pattern Recognition and Artificial Intelligence, 31(1), pp. 91-99, January 2018.
Zheng Chang*, Jie Gong, Yingyu Li, Zhenyu Zhou, TapaniRistaniemi, Guangming Shi, Zhu Han, and Zhisheng Niu, ”Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds,” in IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3438-3450, December 2016.
Conference Papers:
Huixiang Zhu, Yong Xiao, Yingyu Li, Guangming Shi, and Walid Saad, "Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing," IEEE International Conference on Network Protocols (ICNP) Workshop, Reykjavik, Iceland, October 2023.
Zhimin Lu, Yong Xiao, Zijian Sun, Yingyu Li, Guangming Shi, Xianfu Chen, Mehdi Bennis, and H. Vincent Poor, "Adversarial Learning for Implicit Semantic-Aware Communications," IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.
Yong Xiao, Xu Zhang, Yingyu Li, Guangming Shi, and Tamer Başar, "Rate-distortion Theory for Strategic Semantic Communication," IEEE Information Theory Workshop, Mumbai, India, November 2022.
Yong Xiao, Yingyu Li, Guangming Shi, and H. Vincent Poor, "Reasoning on the Air: An Implicit Semantic Communication Architecture," IEEE International Conference on Communications (ICC) Workshop, Seoul, South Korea, May 2022.
Jingming Liang, Yong Xiao, Yingyu Li, Guangming Shi, and Mehdi Bennis, "Life-Long Learning for Reasoning-Based Semantic Communication," IEEE International Conference on Communications (ICC) Workshop, Seoul, South Korea, May 2022.
Qu Wang, Yong Xiao, Huixiang Zhu, Zijian Sun, Yingyu Li, and Xiaohu Ge, "Towards Energy-efficient Federated Edge Intelligence for IoT Networks," IEEE International Conference on Distributed Computing Systems (ICDCS) Workshop on Next-Generation Mobile Networking and Computing, Virtual conference, July 2021.
DongziJin, Yong Xiao, Yingyu Li, Guangming Shi, and Dusit Niyato, "Optimizing Intelligent Reflecting Surface-Base Station Association for Mobile Networks," IEEE International Conference on Communications (ICC), Virtual conference, June 2021.
Juntong Liu, Yong Xiao, Yingyu Li, Guangming Shi, Walid Saad, and H. Vincent Poor, "Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks," IEEE International Conference on Communications (ICC), Virtual conference, June 2021.
Chenxin Xu, Rong Xia, Yong Xiao, Yingyu Li, Guangming Shi, and Kwang-cheng Chen, "Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks," IEEE International Conference on Communications (ICC), Virtual conference, June 2021.
Yong Xiao, Yingyu Li, Guangming Shi, and H. Vincent Poor, “Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks”, The 12th International Conference on Wireless Communications and Signal Processing (WCSP 2020), Nanjing, Jiangsu, China, October 21-23, 2020. (Best Paper Award)
Rong Xia, Yong Xiao, Yingyu Li, Marwan Krunz, and Dusit Niyato, "A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network," IEEE International Conference on Communications (ICC), Dublin, Ireland, June 2020.
Anqi Huang, Yingyu Li, Yong Xiao, Xiaohu Ge, Sumei Sun, and Han-Chieh Chao, "Distributed Resource Allocation for Network Slicing of Bandwidth and Computational Resource," IEEE International Conference on Communications (ICC), Dublin, Ireland, June 2020.
Yingyu Li, Yifang Zhu, Wotao Yin, Yang Liu, Guangming Shi, and Zhu Han, “Prediction of high resolution spatial-temporal air pollutant map from Big Data sources.” International Conference on Big Data Computing and Communications, Taiyuan, China, August 2015, pp. 273-282.
Yingyu Li, Guangming Shi, XuemeiXie, and Chongyu Chen, “Compressive modulation in digital communication,” IEEE International Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, May 2013, pp. 1966-1969.
Patents:
Zhou He, Peng Zhang, Dan Ding, Ping Ping, Zheng Wang, Xiaohui Chen, Yong Xiao, Yingyu Li. An optical signal modulation system and a transmission system for modulated optical signals generated therefrom. Grant No.: ZL202211508363.7
Yong Xiao, Guangming Shi, Jingming Liang, Yingyu Li. Semantic knowledge base automatic construction and update method, semantic encoder and communication architecture. Grant No.: ZL202210070546.9
Yong Xiao, Guangming Shi, Yan Li, Yingyu Li. Semantic encoder, decoder and semantic communication framework. Grant No.: ZL202210058567.9
Yong Xiao, Xiaohu Ge, Yingyu Li, Xiaohan Zhang. A network switching method and a network switching device. Grant No.: ZL202110529784.7
Guangming Shi, Yong Xiao, Yingyu Li, Dahua Gao, and Xuemei Xie. Semantic coding/decoding method, device and communication system based on knowledge graph sharing. Grant No.: ZL202110382108.1
Yong Xiao, Guangming Shi, Xiaohu Ge, Rong Xia, and Yingyu Li. A multi-service data generation and classification method based on federated generative model. Grant No.: ZL202110100171.1
Yong Xiao, Guangming Shi, Xiaohu Ge, Huixiang Zhu, Yingyu Li, and Qiang Li. A motion recognition methodbased on ambient background radio frequency signals.Grant No.: ZL202011411399.4
