The IEEE Information Theory Society Guangzhou Chapter and Tsinghua University Shenzhen International Graduate School (SIGS) are organizing the GBA International Workshop on Information Theory and Artificial Intelligence on Sep. 25, 2021, which will be free for registration. Many methods and ideas developed in information theory (IT) have been adopted to explain and uncover the internal mechanism in modern deep neural networks. Progress regarding an information theoretic understanding of deep neural networks has often been driven by the deep-learning-based application and induced phenomenon and is yet to be explored further. Moreover, the use of artificial intelligence (AI) techniques to study and improve the classical source coding and channel coding problem in information theory is also yet to be explored. This workshop aims to provide an opportunity for academic exchange on novel progress regarding the connection between IT and AI. This will be a hybrid conference where overseas scholars will participate online, and domestic ones will be onsite. Graduate students are encouraged to submit their most recent results to our Recent Results Poster Session. All are welcome!
Organizers: IEEE Information Theory Society Guangzhou Chapter, Tsinghua University Shenzhen International Graduate School (SIGS)
Co-chairs: Shu-Tao Xia, Li Chen, Jianmin Lu
Venue: Information Building, Tsinghua University Shenzhen International Graduate School (SIGS), Shenzhen, Guangdong, China.
Dates: Sep. 25, Beijing Time
Local Arrangements: Bin Chen, Xijun Wang, Congduan Li, Mengyao Ma
Contact: itguangzhou@163.com
Registration: register online via link. You may also register via itguangzhou@163.com
| DATE | CONTENTS |
| 8:30-8:50 | Registration and sign-in |
| 8:50-9:00 | Opening |
| 9:00-9:40 | Zongben Xu (Professor, Xi'an Jiaotong University, Academician of Chinese Academy of Sciences) 实现机器学习自动化的理论途径—基于学习学习方法论的探索 |
| 9:40-10:00 | Coffee Break & Photo |
| 10:00-10:40 | Enhui Yang (Professor, University of Waterloo, Academician of the Royal Canadian Academy of Sciences and Academy of Engineering ) Watermarking for Protecting Deep Image Classifiers against Adversarial Attacks: A Framework and Algorithms |
| 10:40-11:20 | Wei Yu (Professor, University of Toronto, Academician of the Royal Canadian Academy of Sciences and Academy of Engineering) Learn to Beamform and to Reflect Without Explicit Channel Estimation |
| 11:20-12:00 | Shutao Xia (Professor, Tsinghua University)、Bin Chen(Postdoc, Tsinghua University) Quantization in Semantic Communication System for Internet of Things |
| 12:00-14:00 | Lunch&Student Poster |
| 14:00-14:40 | Pingyi Fan (Professor, Tsinghua University) 面向移动边缘计算的联邦学习 |
| 14:40-15:30 | Wenyi Zhang (Professor, University of Science and Technology of China) Towards a tractable theory for non-ideal wireless communication models |
| 15:30-16:00 | Coffee Break &Student Poster&Huawei Technical Propaganda |
| 16:00-16:40 | Qianqian Yang (Doctor, Researcher of Zhejiang University) 面向6G 的语义通信理论与实现 |
| 16:40-17:20 | Han Qiu (Assistant Professor, Tsinghua University) Deep Learning-based Image Transmission for Resource-constrained Networks |
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Zongben Xu, Professor Academician of Chinese Academy of Sciences Xi'an Jiaotong University | Enhui Yang, Professor Academician of the Royal Canadian Academy of Sciences and Academy of Engineering University of Waterloo | Wei Yu, Professor Academician of the Royal Canadian Academy of Sciences and Academy of Engineering University of Toronto |
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Shutao Xia, Professor Tsinghua University | Bin Chen, Doctor Tsinghua University | Pingyi Fan, Professor Tsinghua University |
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Wenyi Zhan, Professor University of Science and Technology of China | Qianqian Yang, Researcher Zhejiang University | Han Qiu, Assistant Professor Tsinghua University |
