Technical Symposia 12
Large Language Models and Signal Processing
1. Symposium Chairs:
Prof. Fei Yu, National Key Laboratory of Security
Communication&No.30 Research Institute of CETC,
China
Prof. Xiang Dai, the Second Laboratory of the
Southwest Institute of Electronic Technology, China
Assoc. Prof. Zheng Chen, University of Electronic
Science and Technology of China, China
2. Topics:
Potential topics of interest include but are not
limited to:
▪ Integration of Large Language Models (LLMs)
with Signal Processing Systems
▪ Speech and Audio Processing using Large Language
Models
▪ Multimodal Signal Processing with Language Models
▪ Generative AI Techniques in Signal Enhancement and
Reconstruction
▪ Natural Language-driven Signal Analysis and
Interpretation
▪ Semantic Communication and Language Models
▪ Cross-modal Learning for Signals and Textual Data
▪ LLM-based Anomaly Detection and Classification in
Signals
▪ Optimization Techniques for Deploying Large
Language Models in Signal Processing Tasks
▪ Efficient and Real-time Processing Architectures
for LLM-driven Signal Systems
▪ Privacy, Security, and Ethical Considerations in
LLM-based Signal Processing
▪ Evaluation Metrics and Benchmarking Frameworks for
Language Model Integration
▪ Intelligent Signal Processing for IoT Enabled by
Large Language Models
▪ Explainability and Interpretability of LLM-driven
Signal Processing Approaches
▪ Knowledge Transfer and Few-shot Learning in Signal
Processing via LLMs
▪ Theoretical Advances in Large Language Models for
Signal Representation
3. Introduction of Symposium Chairs
Prof. Fei Yu, National
Key Laboratory of Security Communication&No.30
Research Institute of CETC, China
Fei Yu received the B.S. degree and Ph.D degree from
the University of Science and Technology of China.
He is currently a professor of National Key
Laboratory of Security Communication & No.30
Research Institute of CETC. His main research
interests include information security, cryptograhy
and its application, edge computing, AI security,
UAV security.He won the Third Prize in the Sichuan
Provincial Science and Technology Progress Awards.
He has published more than 20 research papers in
journals and conferences. He holds more than 10
patents and has led multiple research projects
funded by Ministry of Science and Technology of
China and other significant programs.
Prof. Xiang Dai,
the Second Laboratory of the Southwest Institute of
Electronic Technology, China
Xiang Dai received his Ph.D. degree in computer
software and theory from the Institute of Computer
Applications, Chinese Academy of Sciences in Chengdu
in 2012.He is a professor of engineering at the
Second Laboratory of the Southwest Institute of
Electronic Technology. His main research interests
include intelligent information processing and data
mining.
Assoc.
Prof. Zheng Chen,
University of Electronic Science and Technology of
China, China
Zheng Chen received the B.S. degree from the
University of Science and Technology of China, and
the Ph.D. degree from Chengdu Institute of Computer
Applications, Chinese Academy of Sciences, China. He
was a visiting scholar at the University of
Tennessee and Arizona State University, USA. He is
currently an Associate Professor and the Head of the
Natural Language Processing Laboratory at the School
of Information and Software Engineering, University
of Electronic Science and Technology of China. Dr.
Chen is a committee member of the Natural Language
Generation and Intelligent Writing Technical
Committee of the Chinese Information Processing
Society of China (CIPS). His main research interests
include information extraction, text summarization,
machine translation, question answering, text
generation, and multimodal content generation. He
has published more than 30 research papers in
journals and conferences including Neurocomputing,
Computer Speech & Language, Applied Intelligence,
Complex & Intelligent Systems, and International
Conference on Computational Linguistics. He holds
more than 10 patents and has led multiple research
projects funded by the National Natural Science
Foundation of China and other significant programs.