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

21 Nov 2024

Our paper has been accepted as a full paper for presentation in the ACM SAC'25 program and for publication in the conference proceedings. Congratulations to WAN Hu.

26 Sep 2024

Our paper is accepted by EMNLP 2024 Findings. Congratulations to WANG Weilan and the entire team for this achievement!

26 Sep 2024

Our paper is accepted by NeurIPS 2024. Congratulations to HU Haibo and the entire team for this achievement!

15 Jul 2024

Congratulations to REN Tianyu and HU Tao for having their papers accepted by CODES-ISSS 2024 and EMSOFT 2024, respectively.

14 Jun 2024

City University of Hong Kong Team Wins First Place in 2024 Waymo Open Dataset Sim Agents Challenge. Congratulations to HU Haibo.

17 May 2024

Congratulations to MAO Yu for successfully defending her PhD dissertation and completing her degree.

11 Apr 2024

Congratulations to LI Jinheng, LI Qiao, WAN Hu for winning the ACM Euro Award at the 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024).

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.

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.