Dr. WANTING YANG

Research Scientist /Principal Investigator

Singapore University of Technology and Design

Dr. Wanting Yang has been at the forefront of semantic communication (SemCom) research since 2022, pioneering AI-native solutions for 6G networks. Her foundational work includes:

• A highly cited survey paper (IEEE Communications Surveys & Tutorials, IF=46.7), which systematically reviewed SemCom principles, applications, and challenges while outlining a developmental roadmap. This paper was recognized as an ESI Highly Cited Paper and Hot Paper.

• A complementary magazine article (IEEE Wireless Communications Magazine, IF = 11.5) aiming to facilitate practical SemCom deployment strategies by integrating edge intelligence into the SemCom design.

Collectively, these publications have garnered 585+ citations, underscoring their influence in establishing SemCom as a transformative paradigm for future networks. Building upon her foundational work, Dr. Yang has advanced SemCom for multimedia data transmission in dynamic, resource-constrained vehicular networks. Her key contributions include:

1. SemCom for Vehicular Networks o Developed scene graph and generative diffusion-based approaches to optimize SemCom efficiency, published in IEEE Transactions on Wireless Communications (TWC) and IEEE Transactions on Communications (TCOM). o Rethink a multi-user SemCom paradigm enhanced by generative AI and LLMs for scalability, published in IEEE Wireless Communications Magazine (WCM). o Investigated multi-user personalized diffusion offloading to align with diverse user intents and facilitate the SemCom deployment, published in IEEE Transactions on Mobile Computing (TMC).

2. Channel-Adaptive SemCom for High-Volume Data o Designed a channel-adaptive generative SemCom framework for point cloud transmission, demonstrating high efficiency and robustness for high-volume and robust sensing data transmission in collaborative perception, especially in vehicular networks (submitted to IEEE Transactions on Cognitive Communications and Networking, TCCN).

3. Future Directions o Expanding SemCom into collaborative perception scenarios, enabling agents to jointly perceive and reason beyond human capabilities. Beyond vehicular systems, Dr. Yang has extended SemCom to UAV and satellite networks and pioneered intent-aware multi-user semantic multiple access, in collaboration with cross-domain researchers.