AI Solver Engines as Network Optimizers: A Generative Diffusion Perspective
Title: AI Solver Engines as Network Optimizers: A Generative Diffusion Perspective
Speaker: Prof Bo Yang, Northwestern Polytechnical University
Date: 6 Aug 2025 (Wed)
Time: 10.30am
Venue: NTU EEE Mtg Rm S1-C (S1-B1c-111)
Abstract:
While interest in the application of generative AI (GenAI) in network optimization has surged in recent years, its rapid progress has often overshadowed critical limitations intrinsic to generative models that remain insufficiently examined. This talk provides a brief review and analysis of GenAI's role in network optimization, by focusing on the two dominant paradigms of generative models including generative diffusion models (GDMs) and large language models (LLMs). Then, I will introduce some of our recent works on this direction. Finally, some research directions will be discussed.
Speaker Bio:
Bo Yang received the Ph.D. degree from Northwestern Polytechnical University, Xi’an, China, in 2016. From October 2017 to January 2020, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, Prairie View A&M University (PVAMU), Prairie View, TX, USA; and a member of Texas A&M University System, Prairie View. From February 2020 to April 2022, he was a Research Fellow with the Engineering Product Development Pillar, Singapore University of Technology and Design (SUTD), Singapore. He is currently a Professor with the School of Computer Science, Northwestern Polytechnical University. His research focuses on machine learning, 5G/6G, MEC, RIS, and application of artificial intelligence (AI) for wireless networks. He received NNSF for Excellent Young Scientists Fund Program (Overseas) in 2021 and Best Student Paper Award in IEEE VTC-2025 Spring.
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- 50 Nanyang Avenue
- Singapore, Singapore
- Singapore 639798
- Building: NTU EEE
- Room Number: EEE Mtg Rm S1-C (S1-B1c-111)