Chun Jason Xue

Professor of Computer Science

Chun Jason Xue

Professor of Computer Science

Prof. XUE, Chun Jason

薛春 教授

Professor
jason.xue@mbzuai.ac.ae
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Abu Dhabi, UAE

News

05 Dec 2025

Prof. Chun Jason Xue has been elected as an IEEE Fellow, Class of 2026, for his contributions to optimizing the performance of non-volatile memory storage systems.

About

Prof. Chun Jason Xue is a professor at the Department of Computer Science, MBZUAI, Abu Dhabi. He received Ph.D. in Computer Science from the University of Texas at Dallas in 2007 and joined the City University of Hong Kong in the same year. He is currently an associate editor of ACM Transactions on Embedded Computing Systems, ACM Transactions on Storage, and ACM Transactions on CPS.

He has served/serves as General Chair, Program Chair, and Program Committee Member on a number of technical conferences and workshops. He is currently the Steering Committee Chair of ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) since 2020. He has been elected as an IEEE Fellow, Class of 2026, for his contributions to optimizing the performance of non-volatile memory storage systems.

Research interests

His research focus is on storage and systems, and high-performance system designs for AI. He is one of the pioneer researchers to consider Non-Volatile Memories (NVMs) at the software and system level. NVM, such as Phase Changing Memory (PCM), STT-RAM, and FeRAM, shows huge potential because of its characteristics of high density, shock-resistance, and near-zero leakage power. NVM has shortcomings such as long write latency, high write energy, and limited endurance. This property of asymmetric read/write operations poses unique challenges. His works (DAC’10, DAC’11) address read/write asymmetry from the system and software level when NVM is applied in the memory hierarchy. NVM writes are further calibrated with different intensities (LCTES’13, DATE’13), which leads to optimized power consumption, performance, and lifetime. These works have profound impacts on widely applied commercial products such as Intel 3D X-point memory and TI MSP series today.

Education

  • Ph.D. in computer science - University of Texas at Dallas, 2007
  • Master of Science in computer science - University of Texas at Dallas, 2003
  • Bachelor of Science in computer science and engineering - University of Texas at Arlington, 1997 (Cum Laude)
  • Bachelor of Science in architecture - University of Texas at Arlington, 1997 (Magna Cum Laude)

Awards

  • ACM Euro Award, 2024
  • IEEE NVMSA Best Paper Award, 2023
  • ACM Distinguished Member, 2021
  • ACM Hotstorage Best Paper Award,2021
  • Outstanding Supervisor Award, 2018

Publications

A nearly complete list of publications can be found on DBLP or via Google Scholar.