Chair of Information Theory and Data Analytics Paul Zheng, M.Sc.
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paul.zheng"at"inda.rwth-aachen.de |
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Research Interest
My research focuses on intelligent wireless network. The research interests include
- Wireless network optimization for supporting federated (distributed) learning.
- AI-based wireless network resource scheduling (via e.g., reinforcement learning, dedicated neural network design, graph neural network).
Open Positions
Please contact me directly if you are interested in doing a master/bachelor thesis in one of the topics mentioned above.
Short Curriculum Vitae
| 02/2021 - Present | Research and teaching assistant, RWTH Aachen University, Germany. |
| 07/2020 - 12/2020 | Research Engineer at OPIS Inria (CVN, Centralesupelec), France. |
| 09/2018 - 06/2020 | M.Sc. Computer Engineering, RWTH Aachen University, Germany, Thesis: "Multi-Device Low-Latency IoT Networks with Blind Retransmissions in the Finite Blocklength Regime." |
| 05/2018 - 09/2018 | Internship, CEA-LIST, France. Topic: "Mass spectrometry signal processing for analysis of exhaled breath of patients." |
| 09/2016 - 06/2020 | French Engineering Grande École Degree (Master and Bachelor of Engineering), Ecole Centrale de Lyon, France. |
| 10/2016 - 06/2017 | B. Sc. General Mathematics, Université Claude Bernard Lyon 1, France. double diplomas program with Ecole Centrale de Lyon. |
| 09/2014 - 09/2016 | Classe préparatoire MP* (2 years of preparation for French "Grande Ecole" entrance exams,
equivalent to first two years of Bachelor studies), Lycée Henri IV, Paris, France. |
Publications
- W. Gao, P. Zheng, Y. Hu, B. Ai, A. Schmeink, "Performance Enhancement on Federated Learning Supported by RIS-Aided Communication in the FBL Regime", IEEE ICC 2024, accepted.
- W. Gao, P. Zheng, Y. Hu, C. Shen, B. Ai, A. Schmeink, "A Novel Link Adaptation Approach for URLLC: A DRL-based Method with OLLA", IEEE Wireless Communications and Networking Conference (WCNC), 2024, accepted.
- X. Yuan, H. Zhang, P. Zheng, B. Han, Anke Schmeink, "Cooperative Power Control and Beamforming Design for Multi-Source Enabled Wireless Power Transfer Networks", EuCap 2024, accepted.
- P. Zheng, Y. Zhu, Y. Hu, Z. Zhang and A. Schmeink, "Federated Learning in Heterogeneous Networks With Unreliable Communication," IEEE Transactions on Wireless Communications, vol. 23, no. 4, pp. 3823-3838, April 2024. [ pdf | bib ]
- P. Zheng, Y. Zhu, M. Bouchaala, Y. Hu, S. Stanczak, A. Schmeink, "Federated Learning with Integrated Over-the-Air Computation and Sensing in IRS-assisted Networks," WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, Braunschweig, Germany, 2023, pp. 1-6. (Invited paper)
- P. Zheng, Y. Zhu, Y. Hu, A. Schmeink, "Data-driven Extreme Events Modeling for Vehicle Networks by Personalized Federated Learning: Invited Paper," 2022 International Symposium on Wireless Communication Systems (ISWCS), Hangzhou, China, 2022, pp. 1-6. (invited paper)
- Y. Wu, Z. Zhang, P. Zheng, Y. Hu and A. Schmeink, "V2E Association and Resource Allocation via Deep Reinforcement Learning in MEC-based HetVNets," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1-7
- Q. He, Y. Zhu, P. Zheng, Y. Hu and A. Schmeink, "Multi-Device Low-Latency IoT Networks with Blind Retransmissions in the Finite Blocklength Regime", IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 12782-12795, Dec. 2021 [ pdf | bib ]
- P. Zheng, Y. Zhu, Z. Zhang, Y. Hu, A. Schmeink, "Federated Learning in Heterogeneous Networks with Unreliable Communication", 2021 IEEE Globecom Workshops, accepted.
- Q. He, P. Zheng, Y. Zhu, Y. Hu and A. Schmeink, "Multi-Device Low-Latency Internet of Things Networks with Blind Retransmissions in the Finite Blocklength Regime," 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, London, UK, 2020, pp. 1-6, doi: 10.1109/PIMRC48278.2020.9217295.
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