Hi! I am currently a Postdoctoral Research Fellow at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore, supervised by Prof. Dusit Niyato (President’s Chair Professor, FIEEE). Prior to this, I obtained my PhD degree at Beijing Jiaotong University in Sept. 2023, Beijing, China, under the guidance of Prof. Ke Xiong and Prof. Yang Lu.

I am also honored to serve as a Managing Editor of the IEEE Transactions on Network Science and Engineering (IEEE TNSE), assisting the Editor-in-Chief and the entire editorial board in supporting the journal and the broader research community. My research primarily focuses on AI for networking, including generative AI-enabled networking, large language models empowered networking, and reinforcement learning-enabled wireless communication networks. If you are interested in my (our group) work, you may refer to this repository for the latest updates of our group! Moreover, I am also doing some novel AI models to get meaningful information on the plasma turbulence field. If you are also interested, please refer to this repository.

If you have any questions or are interested in collaborating with me, please feel free to email me (ruichen.zhang@ntu.edu.sg)!

News

1. [Feb 2025] One first-author paper titled Toward Democratized Generative AI in Next-Generation Mobile Edge Networks has been ACCEPTED at IEEE Network.

2. [Jan 2025] Our paper titled MaxMB:A Signal Detector for OFDM Receiver Based on Multi-Axis Attention and MBConv has been submitted to IEEE TVT.

3. [Jan 2025] Our paper titled LVFUS: A Lightweight Vertical Federated Unlearning Framework via Adaptive Optimizer Switching has been submitted to IJCAI.

4. [Jan 2025] Our paper titled Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions has been submitted to IEEE IoTJ.

5. [Jan 2025] One corresponding author paper titled Robust Optical Quantum Imaging Framework with Entangled Photons in Oceanic Turbulent Environments has been ACCEPTED at IEEE TCOM.

6. [Jan 2025] Our paper titled has been Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Electric Vehicles submitted to IEEE VTM.

7. [Jan 2025] Our paper titledDeep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System has been submitted to IEEE TVT.

8. [Jan 2025] Our paper titled Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework has been submitted to IEEE TCOM.

9. [Jan 2025] Our paper titled A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks has been submitted to IEEE TCCN.

10. [Jan 2025] Our paper titled BanditMatch: A Game-theoretic Approach for Stable Preference Matching in Peer-to-Peer Federated Learning has been submitted to IEEE TVT.

11. [Jan 2025] I am honored to join as a Managing Editor of IEEE Transactions on Network Science and Engineering (IEEE TNSE). I look forward to contributing to TNSE and the broader research community.

12. [Dec 2024] One first-author paper titled Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method has been submitted to IEEE TMC

13. [Dec 2024] Our paper titled Retrieval-augmented Generation for GenAI-enabled Semantic Communications has been submitted to IEEE WCM

14. [Dec 2024] Our paper titled Adaptive Pruning for Large Language Models with Structural Importance Awareness has been submitted to IEEE TAI

15. [Dec 2024] Our paper titled When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study has been submitted to IEEE WCM

16. [Dec 2024] Our paper titled Hallucination-aware Optimization for Large Language Model-empowered Communications has been submitted to IEEE Network

17. [Nov 2024] One first-author paper titled Toward Democratized Generative AI in Next-Generation Mobile Edge Networks has been submitted to IEEE Network.

18. [Nov 2024] We will organize a special session “Integrated Communication, Sensing, and Computation for UAV Wireless Networks” in IEEE International Conference on Computer Communication and Artificial Intelligence (CCAI), Haikou, China, welcome to submit papers!

19. [Nov 2024] Our paper titled Secrecy Energy Efficiency Maximization in IRS-Assisted VLC MISO Networks with RSMA: A DS-PPO approach has been submitted to IEEE TWC.

20. [Nov 2024] Our paper titled Optimizing AoI in RIS-aided Wireless Powered Backscatter-Active Communication Networks has been submitted to IEEE TVT.

21. [Nov 2024] Our 3 papers has been submitted to IEEE ICC 2025.

22. [Nov 2024] Our paper titled Signal Detection in Near-field Communication with Unknown Noise Characteristics: A Diffusion Model Method has been submitted to IEEE TNNLS.

23. [Sep 2024] Our paper titled SWIPTNet: A Unified Deep Learning Framework for SWIPT based on GNN and Transfer Learning has been submitted to IEEE TMC.

24. [Sep 2024] Our paper titled Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach has been ACCEPTED at IEEE TCOM.

25. [Sep 2024] Our paper titled Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach has been submitted to IEEE TCCN.

26. [Sep 2024] Our paper titled STAR-RIS Enabled ISAC Systems: Joint Rate Splitting and Beamforming Optimization has been submitted to IEEE TCCN.

27. [Aug 2024] Our paper titled SEE Maximization in RIS-aided Network with RSMA: A PPO-SCF Method has been ACCEPTED at IEEE WCL.

28. [Aug 2024] One first-author paper titled Generative AI for Space-Air-Ground Integrated Networks has been ACCEPTED at IEEE WCM.

29. [Aug 2024] One first-author paper titled Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission has been ACCEPTED at IEEE JSAC.

30. [Aug 2024] I visited Sungkyunkwan University in Korea, hosted by Prof. Dong In Kim. It was so impressive and memorable!
31. [July 2024] Our tutorial proposal “Empowering Networks with GAI: Fundamentals, Methodologies, and Applications” has been ACCEPTED for presentation as a half-day tutorial at the IEEE GLOBECOM 2024. (Let us go to South Africa! ^_^)

32. [July 2024] Our paper titled “Optimizing AoI in RIS-aided Wireless Powered Communication Networks” has been ACCEPTED at the IEEE ICCC wks 2024. (Let us go to Hangzhou! ^_^)

33. [July 2024] Our paper titled “Robust Optical Quantum Imaging Network with Entangled Photons in Oceanic Turbulent Environments” has been submitted the IEEE TCOM.

34. [June 2024] I attended the IEEE VTC-Spring’24 and SG 6G Summit’24 held in Singapore. Very happy to meet old friends and make new friends!

35. [June 2024] I am delighted to give a talk about Generative AI for Low-Carbon Artificial Intelligence of Things in NTU-Tsinghua AIR Workshop on Computational Sustainability in Digital Infrastructures.

Some Reprenstive Papers

For all publications, please refer to Publications or my google scholar.

1. H. Du, R. Zhang, Y. Liu, J. Wang, Y. Lin, Z. Li, D. Niyato, et. al, “Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization”, IEEE Communications Surveys & Tutorials, 2024. (IF: 34.4, An1) (Co-first author)

2. R. Zhang, H. Du, Y. Liu, D. Niyato, J. Kang, Z. Xiong, A. Jamalipour, and D. I. Kim, “Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission”, IEEE Journal on Selected Areas in Communications, 2024. (IF: 13.8, CCF A, An1)

3. R. Zhang, K. Xiong, Y. Lu, P. Fan, D. W. K. Ng, and K. B. Letaief, “Energy Efficiency Maximization in RIS-assisted SWIPT Networks with RSMA: A PPO-based Approach”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 5, pp. 1413-1430, May 2023. (IF: 13.8, CCF A, An1)
   • Selected by ESI Highly Cited Paper

4. R. Zhang, K. Xiong, Y. Lu, B. Gao, P. Fan, D and K. B. Letaief, “Joint coordinated beamforming and power splitting ratio optimization in MU-MISO SWIPT-enabled HetNets: A multi-agent DDQN-based approach”, IEEE Journal on Selected Areas in Communications, vol. 40, no. 2, pp. 677-693, Feb. 2022. (IF: 13.8, CCF A, An1)

5. R. Zhang, K. Xiong, Y. Lu, D. W. K. Ng, P. Fan, and K. B. Letaief, “SWIPT-enabled Cell-Free Massive MIMO-NOMA Networks: A Machine Learning based Approach”, IEEE Transactions on Wireless Communications, accepted, 2024. (IF: 8.9, An1)

6. R. Zhang, C. Zhao, H. Du, D. Niyato, J. Wang, S. Sawadsitang, X. Shen, and D. I. Kim, “Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method”, submitted to IEEE Transactions on Mobile Computing, 2024. (IF: 7.7, CCF A, An2)

7. R. Zhang, K. Xiong, W. Guo, X. Yang, P. Fan and K. B. Letaief, “Q-Learning-Based Adaptive Power Control in Wireless RF Energy Harvesting Heterogeneous Networks”, IEEE System Journal, vol. 15, no. 2, pp. 1861-1872, June 2021. (IF: 4, An2)

8. R. Zhang, H. Du, D. Niyato, J. Kang, Z. Xiong, A. Jamalipour, P. Zhang, D. I. Kim, “Generative AI for Space-Air-Ground Integrated Networks “, IEEE Wireless Communications, accepted, 2024. (IF: 10.9, An1)

9. R. Zhang, K. Xiong, H. Du, D. Niyato, J. Kang, X. Shen and H. Poor, “Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study”, IEEE Network, 2024. (IF: 6.8, An2) • Selected by IEEE Network Popular Documents - Jul. and Aug. 2024

10. R. Zhang, H. Du, Yinqiu Liu, D. Niyato, J. Kang, Sumei Sun, X. Shen and H. Poor, “Interactive AI with Retrieval-Augmented Generation for Next Generation Networking”, IEEE Network, 2024. (IF: 6.8, An2)

11. R. Zhang, J. He, X. Luo, D. Niyato, J. Kang, Z. Xiong, Y. Li, B. Sikdar, “Toward Democratized Generative AI in Next-Generation Mobile Edge Networks”, IEEE Network, 2023. (IF: 6.8, An2)

12. R. Zhang, H. Du, D. Niyato, J. Kang, Z. Xiong, P. Zhang, D. I. Kim, “Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts”, submitted to IEEE Vehicular Technology Magazine, 2024. (IF: 5.8, An2)

13. R. Zhang, K. Xiong, X. Tian, Y. Lu, P. Fan and K. B. Letaief, “Inverse Reinforcement learning Meets Power Allocation in Multi-user Celluar Networks”, IEEE INFOCOM WKS, 2022.

Awards

1. 首都前沿学术成果, 北京市科学技术协会, 2024
2. Best Paper Award, Electric Power, 2024
3. Best Paper Award, Electric Power, 2023
4. Third Prize in the 19th China Post-Graduate Mathematical Contest in Modeling, Association of Chinese Graduate Education, 2021
5. Multiple Scholarships, including National Scholarship, Enterprise Scholarships, and University Honors, 2014–2018; 2018-2023

Academic Services

1. Managing Editor, IEEE Transactions on Network Science and Engineering (2025-)
2. Workshop Co-chair, “Integrated Communication, Sensing, and Computation for UAV Wireless Networks” in IEEE CCAI 2024.
3. TPC Member, IEEE GLOBECOM 2024, IEEE PIMRC 2024, Track 2 - Networking & MAC, etc.
4. Reviewer: IEEE JSAC, COMST, TMC, TCOM, TWC, IOTJ, TCCN, TIFS, TVT, WCL, etc.

“The world is a fine place and worth the fighting for！”

———《For Whom the Bell Tolls》 written by Ernest Hemingway