2025 Asia Pacific Workshop on Data Science and Information Theory
Tutorials
Home / Tutorials



Tutorials


Topic 1: Advanced Coding Technology

image.png

Huazi Zhang

Research Engineer

Huawei Technologies Co., Ltd.

Personal Webpage

Title: Channel Coding beyond 5G

Abstract: To be announced.

Biography: Huazi Zhang (Senior Member, IEEE) received his B.Sc. and Ph.D. degrees from Institute of Information and Communication Engineering in 2008 and 2013, respectively, from Zhejiang University. From 2011 to 2013, he was a visiting researcher with the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA. From 2013 to 2014, he was a Research Fellow with the School of Computer Engineering, Nanyang Technological University, Singapore. From 2014 to 2015, he was a Research Scholar with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

He joined Huawei Technologies Co., Ltd in 2015. Since then, he has engaged in research projects on advanced wireless communications involving channel coding and signal processing techniques, and engaged in multiple standardization activities. His contribution led to the adoption of many state-of-the-art research results into 5G standards, as well as the subsequent commercial rollout. His current research interests are channel coding, information theory and signal processing for wireless communications, with focus on theoretical analysis, algorithm design and hardware implementations for 5G and beyond.


Topic 2: Semantic Communication

image.png

Wenyi Zhang

Professor

University of Science and Technology of China

Personal Webpage

Title: Semantic Information Theory: Rate-distortion Approaches

Abstract: Of late, it has been widely recognized that incorporating semantic aspects of information is a promising direction for future communication systems. A basic idea of realizing semantic communication is representing and processing information under the criterion of accomplishing tasks or achieving goals, instead of the conventionally adopted criterion of simply reproducing the original information. In this regard, rate-distortion theory and its variants are suitable theoretical tools to provide general, flexible, and versatile approaches. We will start with a brief review of rate-distortion theory, explain how its principles can be applied to establish a framework for semantic communication, and illustrate a series of case studies that provide insights in theory and relevance in applications. We will conclude this mini-tutorial with a discussion about possible future directions and open problems.

Biography: Wenyi Zhang received the bachelor's degree in automation from Tsinghua University, Beijing, China, in 2001, and the master's and Ph.D. degrees in electrical engineering from the University of Notre Dame, Notre Dame, IN, USA, in 2003 and 2006, respectively. He is currently a Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China. His research interest primarily lies within the general domain of information theory and coding. He is currently an Editor of IEEE Transactions on Communications and IEEE Transactions on Information Theory.


Topic 3: Cryptography and Information Theory

image.png

Shun Watanabe

Associate Professor

Tokyo University of Agriculture and Technology

Personal Webpage

Title: Information-theoretic Cryptography

Abstract: To be announced.