Technical Symposia 12

Large Language Models and Signal Processing


1. Symposium Chairs:
Prof. Yao Yu, Chengdu Insitute of Computer Applications, Chinese Academy of Sciences, China
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. Yao Yu, Chengdu Insitute of Computer Applications, Chinese Academy of Sciences, China

Yao Yu received the Ph.D. degree from Chengdu Institute of Computer Applications, Chinese Academy of Sciences, China. His main research interests include machine learning, pattern recognition,image processing. He has published more than 30 research papers in journals and conference including Biomedical and Health Informatics, Computerized medical imaging and graphics and Journal of Biomedical Engineering. He has long been engaged in academic research and industrial transformation in the field of intelligent healthcare. He has developed and translated numerous innovative achievements in areas such as AI-assisted anesthesia maintenance, IoT for medical equipment, and tumor efficacy prediction. Some of these outcomes have already entered the technology transfer phase. As a project leader or principal researcher, he has undertaken multiple national and provincial-level projects, including the National Natural Science Foundation of China and other significant programs.



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.