Topic 1: Advanced Coding Technology
Wai Ho MOW Associate Dean of Engineering (Undergraduat Studies), Professor The Hong Kong University of Science and Technology Title: To be announced. Abstract: To be announced. |
Xiaohu Tang Professor Southwest Jiaotong University Title: Research on Hardware-Friendly LDPC Code Abstract: To be announced. |
Qin Huang Associate Professor Beihang University Title: Decomposition and Combination: Way to Near-Optimal Decoding Abstract: To be announced. |
Ling Liu Associate Professor Xidian University (Guangzhou) Title: Improving the performance of polar codes using feedback Abstract: To be announced. |
Topic 2: Semantic Communication
Jun Chen Professor McMaster University Title: On the Fundamental Limits of Generative Communication Abstract: Motivated by the emerging paradigm of generative communication, this talk explores the problem of channel-aware optimal transport, where a block of i.i.d. random variables is transmitted through a memoryless channel to generate another block of i.i.d. random variables with a prescribed marginal distribution such that the end-to-end distortion is minimized. With unlimited common randomness available to the encoder and decoder, the source-channel separation architecture is shown to be asymptotically optimal as the blocklength approaches infinity. On the other hand, in the absence of common randomness, the source-channel separation architecture is generally suboptimal. For this scenario, a hybrid coding scheme is proposed, which partially retains the generative capabilities of the given channel while enabling reliable transmission of digital information. It is demonstrated that the proposed hybrid coding scheme can outperform both separation-based and uncoded schemes. |
Kai Niu Professor Beijing University of Posts and Telecommunications Title: Semantic Information Theory and Method Abstract: The convergence of communication and artificial intelligence represents a pivotal trend in future information processing, with semantic information emerging as a new medium for information interaction. This talk begins by introducing the fundamental characteristics of semantic information, thati is synonymity, followed by a concise overview of the basic framework of semantic information theory, including its measurement system and the performance limits of semantic communication. Finally, it presents the system framework based on synonymous mapping and typical results of semantic encoding and transmission. It is foreseeable that semantic communication will become a new technological paradigm in future communications, offering promising application prospects |
Yongjune Kim Associate Professor Pohang University of Science and Technology Title: CrossMPT: Cross-attention message-passing transformer for error correcting codes Abstract: Error correcting codes (ECCs) are indispensable for reliable transmission in communication systems. Recent advancements in deep learning have catalyzed the exploration of ECC decoders based on neural networks. Among these, transformer-based neural decoders have achieved state-of-the-art decoding performance. We propose a novel Cross-Attention Message-Passing Transformer (CrossMPT), which shares key operational principles with conventional message-passing decoders. While conventional transformer-based decoders employ a self-attention mechanism without distinguishing between magnitude and syndrome embeddings, CrossMPT updates these two types of embeddings separately and iteratively via two masked cross-attention blocks. The mask matrices are determined by the code's parity-check matrix, which explicitly captures and removes irrelevant relationships between the magnitude and syndrome embeddings. Our experimental results show that CrossMPT significantly outperforms existing neural network-based decoders for various code classes. Notably, CrossMPT achieves this decoding performance improvement while significantly reducing memory usage, computational complexity, inference time, and training time. |
Bo Bai Director of Theory Lab, Chief Scientist of Information Theory Huawei Technologies Co., Ltd. Title: Forget BIT, It' s All about TOKEN!-Towards the Mathematical Theory of Semantic Abstract: To be announced. |
Dong Liu Professor The University of Science and Technology of China Title: A Deep Learning Approach to the Rate-Distortion Bounds of Image Compression Abstract: To be announced. |
Tao Guo Associate Professor SouthEast University Title: Rate-distortion theory for multi-user semantic compression Abstract: To be announced. |
Topic 3: Crytography and Information Theory
Amin Gohari Vice-Chancellor Associate Professor The Chinese Uinversity of Hong Kong Title: On the Source Model Key Agreement Problem Abstract: To be announced. |
Mitsugu Iwamoto Professor University of Electro-Communications Title: Information-theoretic security, revisited Abstract: To be announced. |
Vinod Prabhakaran Associate Professor Tata Institute of Fundamental Research, India Title: Byzantine Distributed Function Computation Abstract: To be announced. |
Guodong Shi Associate Professor The university of Sydney Title: Differential Privacy over Affine Manifolds Abstract: To be announced. |