The rapid advancement of artificial intelligence and signal processing applications has highlighted the critical bottleneck of data movement in traditional computing architectures. Computing-in-Memory (CIM) technology, which embeds computation capabilities directly within or near memory arrays, offers a promising solution to overcome the "memory wall" by significantly reducing data transfer overhead. This paradigm shift is particularly impactful for real-time, energy-efficient intelligent signal processing.
This spession session is dedicated to exploring the innovations and applications of CIM technology in the domains of AI and signal processing. Topics of interest include: CIM designs leveraging emerging non-volatile memories (such as RRAM, PCM, and MRAM), analog and digital CIM architectures for neural network acceleration, hardware and algorithm co-design for signal processing tasks including radar, communications, speech, and image processing, as well as compiler, programming framework, and model mapping techniques. We also welcome contributions on system-level implementations and optimizations of CIM chips in edge intelligence, wearable devices, and autonomous systems.
We invite researchers and practitioners from around the world to share their latest findings, discuss technical challenges and breakthroughs, and foster collaborations to advance CIM technology for AI and signal processing applications.
Organizer: Prof. Shaoshi Yang, Beijing University of Posts and Telecommunications, China
Shaoshi Yang received the B.Eng. degree in information engineering from Beijing University of Posts and Telecommunications (BUPT), China, in 2006, and the Ph.D. degree in electronics and electrical engineering from the University of Southampton, U.K., in 2013. From 2008 to 2009, he was a Researcher with Intel Labs China. From 2013 to 2016, he was a Research Fellow with the School of Electronics and Computer Science, University of Southampton. From 2016 to 2018, he was a Principal Engineer with Huawei Technologies Co. Ltd., where he made significant contributions to the products, solutions, and standardization of 5G, wideband IoT, and cloud gaming/VR. He was a Guest Researcher with the Isaac Newton Institute for Mathematical Sciences, University of Cambridge. He is currently a Full Professor with BUPT. His research interests include 5G/5G-A/6G, massive MIMO, mobile ad hoc networks, distributed artificial intelligence, and cloud gaming/VR. He is a Deputy Director of the Key Laboratory of Mathematics and Information Networks, Ministry of Education, and a Standing Committee Member of the China Computer Federation (CCF) Technical Committee on Distributed Computing and Systems. He is also an adjunct professor with the Beijing Zhongguancun Academy and the Shenzhen Loop Area Institute. He received the Dean’s Award for Early Career Research Excellence from the University of Southampton in 2015, the Huawei President Award for Wireless Innovations in 2018, the IEEE TCGCC Best Journal Paper Award in 2019, the IEEE Communications Society Best Survey Paper Award in 2020, the Xiaomi Young Scholars Award in 2023, the CAI Invention and Entrepreneurship Award in 2023, the CIUR Industry-University-Research Cooperation and Innovation Award in 2023, and the First Prize of Beijing Municipal Science and Technology Advancement Award in 2023. He is an Editor of IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology,and Signal Processing (Elsevier). He was also an Editor of IEEE Systems Journal and IEEE Wireless Communications Letters. He has been named on Stanford University's/Elsevier's list of the world's top 2% of scientists. For more details on his research progress, please refer to https://shaoshiyang.weebly.com/.
Co-organizer: Dr. Xiaotao Li, Department of Internet of Things Technology and Applications, China Mobile Research Institute, China
Xiaotao Li, currently serves Technical Manager, Principal Researcher, and Professorate Senior Engineer at the Department of Internet of Things Technology and Applications, China Mobile Research Institute. He obtained his Ph.D. from the Department of Automation, Beihang University, with a research focus on intelligent Internet of Things and advanced computing technologies. He has published over 30 SCI/EI-indexed papers in important domestic and international journals and conferences such as IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Mobile Computing, IEEE Wireless Communications Letters, ACL, ICCCN, and IPCCC. He has filed more than 50 invention patent applications. In 2022 and 2023, he successively proposed two proposals: "How to implement engineering and industrialization of computing-in-memory chips?" and "How to leverage the Chinese ICT advantages to achieve rapid breakthroughs in Chiplet technology and industry?". Both proposals were selected as top ten industrial technical issues by the China Association for Science and Technology for two consecutive years. His research achievements have won the Major Scientific and Technological Achievements Award at the 2024 Zhongguancun Forum, First Prize in the 2024 Digital China Innovation Competition, Leading Scientific and Technological Achievements at the 2023 World Internet Conference, and inclusion in the 2023 "Science and Technology Innovation China" Pilot Technology List. He has undertaken three key national special projects.
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