Track 5

Track 5. Advanced Integrated Circuits for AI and Machine Learning​

Chair: Ning Xu, Wuhan University of Technology, China​
Co-Chair: Dan Niu, Southeast University, China​
Co-Chair: Xianyang Jiang, Wuhan University, China​

This track focuses on advanced integrated circuit technologies for artificial intelligence and machine learning applications. It explores novel architectures, circuit designs, and hardware–software co-design approaches that enable efficient AI computation. Topics include AI accelerators, neuromorphic and in-memory computing, low-power and high-performance IC design, and emerging device technologies. The track also addresses challenges in scalability, energy efficiency, and reliability for edge and data-center AI systems. By tightly integrating algorithms with hardware innovation, advanced ICs can significantly improve computing efficiency and performance. Contributions are welcomed on theoretical analysis, design methodologies, and practical implementations that support intelligent computing for next-generation AI and machine learning systems.

 Submission Link: https://easychair.org/conferences/?conf=icccas2026
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Track Chair Introduction

 

Ning Xu, Wuhan University of Technology, China

 

Biography: Professor Xu Ning is a full professor and doctoral supervisor at the School of Information Engineering, Wuhan University of Technology. He received his Ph.D. from the University of Electronic Science and Technology of China and conducted postdoctoral research at Tsinghua University.
His research interests include electronic design automation (EDA), VLSI design, hardware security, and network-on-chip systems. He has led and participated in several national research projects, including programs supported by the National Natural Science Foundation of China.
Professor Xu has published more than 70 academic papers, many of which are indexed by SCI and EI, and has authored academic books as well as obtained multiple invention patents and software copyrights.
He is also an active member of the academic community, serving as a senior member of the China Computer Federation and contributing as a reviewer for several international journals and conferences.

Dan Niu, Southeast University, China

 

Biography: Dan Niu is a Young Distinguished Professor and Associate Dean at Southeast University, and a Ph.D. advisor. He earned his doctorate from Waseda University and was a visiting scholar at Lehigh University and the University of Texas. His research spans artificial intelligence, EDA for integrated circuits, autonomous systems, and time-series forecasting.
He has led multiple national and provincial projects and collaborated with leading industry partners. He has published over 60 papers, including more than 30 in top-tier venues such as IEEE TCAD, DAC, and AAAI. He has received several major awards and honors, and actively contributes to professional societies including IEEE and CCF.

 

Xianyang Jiang, Wuhan University, China

 

Biography: Xianyang Jiang received a Ph.D. degree in pattern recognition and intelligent systems from Huazhong University of Science and Technology, Wuhan, China, in 2003. From 2003 to 2004, he was a postdoc in Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. From 2004 to 2005, he was a posdoc at INRIA-IRISA, France. From 2005 to 2007, he was an Assistant Professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. Since 2008, he has been an Associate Professor in Wuhan University. From 2015 to 2016, he was a visiting scholar at the University of California, Santa Barbara. He is the author of over 40 articles. His research interests include VLSI design, neuromorphic computing, and computer architecture.