Li Yingyu
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:
Machine learning and artificial intelligence, next-generation wireless networking technologies, mobile intelligent agent communication network, semantic communication networks, federated edge intelligence, distributed optimization, green communication networks, industrial internet and Internet of Things, internet of vehicles, low altitude communication networks, sensor networks 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. The graduate students are co-advised with the supervisors from Huazhong University of Science and Technology, and all graduate students advised have signed contracts with large state-owned enterprises and central enterprises.
Education:
2014.09~2016.09: Joint PhD at University 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 to present: 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:
Member of the Intelligent Fusion Specialized Committee of Chinese Association for Artificial Intelligence
Secretary of the Organizing Committee of the Mobile Intelligent Communication Network Forum (MICON)
Technical Program Committee Member:
IEEE VTC2025-Spring
IEEE Globecom 2025 SAC - BD (2025 IEEE Global Communications Conference: Selected Areas in Communications: Big Data).
International Conference on Wireless Communications and Signal Processing (WCSP), 2020, 2023, 2024.
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 Yipeng (employed by CITIC FiberHome Communications (central enterprise)), LIANG Che (employed by Jilin Jiangji Special Industries Co., Ltd under NORINCO Group (central enterprise)), RAO Jiangying (employed by Dameng Database (state-owned enterprise))
Grade 2023: WANG Lian (Internship at Mindray Beijing Research Institute), HE Shengtao, CHEN Siyi
Co-advised doctoral student: Alaa Abdulmalik
Teaching:
Advanced Sensing and IoT Technologies: from fall 2022 to now
Research Projects:
1. Crosswise research project sponsored by Hubei Power Grid, 20240761243, Research on Intelligent Monitoring, Operations and Maintenance Technology Based on Cloud-Side-End Collaboration, 2024/12-2025/09, RMB 209,800Yuan, PI, under study;
2. Crosswise research project sponsored by Hubei Power Grid, 20240761174, Research on Training Optimization and Scheduling Mechanism of Heterogeneous Computing Power Network Machine Learning Model, 2024/12-2025/07, RMB 280,000Yuan, PI, under study;
3. National Major Science and Technology Special Project on Mobile Information Network, 2024ZD1300700, Multi-user semantic knowledge base collaboration and on-demand adaptation architecture, 2024/12-2026/11, RMB 9,600,000Yuan, participant, under study;
4. 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;
5. National Laboratory Major Research Project (Phase II), **** Mathematical Fundamentals and Core Algorithms, 2023/08-2025/07, participant, under study;
6. 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;
7. 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;
8. 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, concluded;
9. National laboratory major research subject,****Basic Theory and Key Technologies,06/2021-06/2023, participant, concluded;
10. 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;
11. 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;
12. 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;
13. 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;
14. 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:
1. Yingyu Li, Jiangying Rao, Lian Wang, Yong Xiao, Xiaohu Ge and Guangming Shi*, "Distributed Optimization of Resource-Efficiency for Federated Edge Intelligence in UAV-Enabled IoT Networks," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3532288. (T1)
2. Yingyu Li, Yipeng Dai andXiaohu Ge et al. “Modeling and optimization of carbon emissions for time sensitive industrial Internet” [J/OL]. Chinese Journal on Internet of Things, 1-19;
3. Shengtao He, Yingyu Li*, Peng Zhang and Yayu Gao et al. “A Federated Reinforcement Learning-Based Congestion Control Algorithm for Data Center Networks” [J]. Mobile Communications, 2025, 49(01):75-80+108.
4. Ye Deng, Jian Wang, Yayu Gao, Chengwei Zhang, Yingyu Li and Guohui Zhong. “Immersive Communication Network Architecture Based on Semantic Cognition and Generation” [J]. Mobile Communications, 2025,49(01):67-74.
5. Huixiang Zhu, Yong Xiao*, Yingyu Li, Guangming Shi and Marwan Krunz, "SANSee: A Physical-layer Semantic-aware Networking Framework for Distributed Wireless Sensing," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3483272. (T1)
6. Yiwei Liao, Zijian Sun and Yingyu Li et al. “Semantic Cognitive Network Based on Distributed Knowledge Reasoning” [J]. Radio Communications Technology, 2024,50(03):413-421.
7. Lian Wang, Shengtao He, Haohui Cai, Yingyu Li*, Yong Xiao, and Guangming Shi. “Latency-Sensitive Heterogeneous Federated Edge Intelligence for 6G” [J]. Mobile Communications, 2024,48(07):66-72.
8. Yuhang Yan, Yong Wang, Yun Hu and Ying Li, "Federated Learning-Based Anomaly Detection for Environment Monitoring Sensor Networks," in IEEE Sensors Letters, vol. 8, no. 8, pp. 1-4, Aug. 2024, Art no. 6008904, doi: 10.1109/LSENS.2024.3421567.
9. Dongzi Jin, Yingyu Li, Dahua Gao, Guangming Shi, and Yong Xiao. “Research on Semantic-aware Networks for Digital Twin Network” [J]. Mobile Communications , 2024,48(02):34-40.
10. Peng Zhang, Yong Xiao*, Yingyu Li, Xiaohu Ge, Guangming Shi, and Yang Yang, "Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond," in IEEE Communications Magazine, vol. 62, no. 4, pp. 58-64, April 2024, doi: 10.1109/MCOM.003.2300175. (T1)
11. 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," IEEE Transactions on Wireless Communications, vol. 23, no. 4, pp. 3839-3855, April 2024. (T2)
12. Yong Xiao; Xiaohan Zhang; Yingyu Li*; Guangming Shi; Marwan Krunz; Diep N. Nguyen; DinhThai Hoang; Time-sensitive Learning for Heterogeneous Federated Edge Intelligence, IEEE Transactions on Mobile Computing, vol. 23, no. 2, pp. 1382-1400, Feb. 2024. (T1)
13. 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," IEEE Transactions on Mobile Computing, vol. 23, no. 2, pp. 1815-1829, Feb. 2024. (T1)
14. 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. (T1)
15. 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)
16. 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. (T1)
17. 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. (T2)
18. 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. (T2)
19. 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.
20. Zheng Chang*, Jie Gong, Yingyu Li, Zhenyu Zhou, Tapani Ristaniemi, 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. (T1)
Conference Papers:
1. Dongzi Jin, Yong Xiao, Yingyu Li. “Robust Federated Learning against Model Perturbation in Edge Networks”, accepted at 2025 IEEE ICC.
2. Rulong Wang, Yujie Zhou, Yong Xiao, Yingyu Li. “Multi-View Semantic-Aware Communication: An Information Bottleneck Perspective”, accepted at 2025 IEEE ICC.
3. Cheng Peng, Yujie Zhou, Rulong Wang, Yong Xiao, Yingyu Li, Guangming Shi. “Multi-User Information Bottleneck for Semantic-Aware Communication”, accepted at 2025 IEEE ICC.
4. Yuxuan Liu, Zijian Sun, Yong Xiao, Haohui Cai, Huixiang Zhu, Yingyu Li, Guangming Shi. “Clustered Federated Learning for Distributed Wireless Sensing”, IEEE Global Communications Conference, Cape Town, South Africa, December 8-12, 2024.
5. Xubo Li, Yuanjie Jia, Yingyu Li, and Yong Xiao, "Towards Energy Efficient Federated Meta-learning in Edge Network," IEEE Vehicular Technology Conference (VTC) Spring, Singapore, June 2024.
6. Dongzi Jin, Yingyu Li, and Yong Xiao, "Federated Generative Learning for Digital Twin Network Modeling," IEEE Vehicular Technology Conference (VTC) Spring, Singapore, June 2024.
7. Haohui Cai, Yong Xiao, Yingyu Li, Yujie Zhou, Dusit Niyato, and Sumei Sun, "Towards Net-Zero Carbon Emissions in Federated Edge Intelligence," IEEE Vehicular Technology Conference (VTC) Spring, Singapore, June 2024.
8. Chaofan Li, Huixiang Zhu, Yong Xiao, Yingyu Li, Dusit Niyato, Sumei Sun, and Walid Saad, "Optimizing Reconfigurable Intelligent Surface-Assisted Distributed Wireless Sensing," IEEE International Conference on Communications (ICC), Denver, CO, USA, June 2024.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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)
19. 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.
20. 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.
21. 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.
22. 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:
1. 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
2. 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
3. Yong Xiao, Guangming Shi, Yan Li, Yingyu Li. Semantic encoder, decoder and semantic communication framework. Grant No.: ZL202210058567.9
4. Yong Xiao, Xiaohu Ge, Yingyu Li, Xiaohan Zhang. A network switching method and a network switching device. Grant No.: ZL202110529784.7
5. 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
6. 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
7. 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
