Hello, I am currently a PhD. student in Computer Science at HCPS Lab and NPU-IWC Lab, Northwestern Polytechnical University, advised by Prof. Bo Yang.

Research Interest

Intelligent Communication and Networking: Explore how to design and optimize advanced communication systems and networks by integrating cutting-edge AI technologies.

Network Optimization: Investigate advanced algorithms to improve the performance, efficiency, and reliability of communication networks, ultimately supporting high-quality service delivery for users and systems.

Generative Diffusion Models for Networking: Advancing research on equipping diffusion models to address complex challenges in networking, enabling more adaptive, intelligent, and efficient network operations in dynamic and uncertain environments.

Publications

Bo Yang, Ruihuai Liang, Weixin Li, Han Wang, Xuelin Cao, Zhiwen Yu, Samson Lasaulce, Mérouane Debbah, Mohamed-Slim Alouini, H. Vincent Poor, Chau Yuen. “Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions” arXiv preprint arXiv:2507.01773 (2025).

Ruihuai Liang, Bo Yang, Pengyu Chen, Xuelin Cao, Zhiwen Yu, H Vincent Poor, Chau Yuen. “Cross-Problem Solving for Network Optimization: Is Problem-Aware Learning the Key?” arXiv preprint arXiv:2505.05067 (2025).

Ruihuai Liang, Bo Yang, Pengyu Chen, Xuelin Cao, Zhiwen Yu, Mérouane Debbah, Dusit Niyato, H Vincent Poor, Chau Yuen. “GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks.” in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2025.3568248.

Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin Li, Yifan Xue, Zhiwen Yu, Xuelin Cao, Yan Zhang, Mérouane Debbah, H Vincent Poor, Chau Yuen, “Diffusion Models as Network Optimizers: Explorations and Analysis,” in IEEE Internet of Things Journal, vol. 12, no. 10, pp. 13183-13193, 15 May15, 2025, doi: 10.1109/JIOT.2025.3528955.

Ruihuai Liang, Bo Yang, Zhiwen Yu, Bin Guo, Xuelin Cao, Mérouane Debbah, H Vincent Poor, Chau Yuen. “DiffSG: A generative solver for network optimization with diffusion model.” in IEEE Communications Magazine, vol. 63, no. 6, pp. 16-24, June 2025, doi: 10.1109/MCOM.001.2400428.

Ruihuai Liang, Bo Yang, Zhiwen Yu, Xuelin Cao, Derrick Wing Kwan Ng, Chau Yuen, “A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading,” GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 6079-6084.

Repositories

PAD | GDSG | MSMU-CO | DiffSG | MTFNN-CO

“AI Solver Engines as Network Optimizers” by Prof. Mérouane Debbah in Artificial Intelligence / Machine Learning Working Group on 2025.01.16

“Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences” by GenAINet Emerging Technology Initiative

Invited to serve as reviewer for IEEE GlobeCom 2025.

📖 Educations

2025.02 - 2029.01 (expected), PhD. student, Computer Science, Northwestern Polytechnical University
2023.09 - 2025.01 (transitioned to PhD. after 3 semesters), Master student, Computer Science, Northwestern Polytechnical University
2019.09 - 2023.06, Bachelor, Software Engineering, Northwestern Polytechnical University

Experiences

2022.07-2022.08, Intern, Huawei Public Development Department, Xi’an

Honors and Awards

2024.10, National Scholarship for Master’s Students
2023.06, Outstanding Undergraduate of School

Ruihuai Liang（梁芮槐）