Chun Jason Xue

Professor of Computer Science

Research Interests

Professor Xue's 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. Professor Xue's (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.

Email

Prior to joining MBZUAI, Professor Xue spent three years in a Silicon Valley start-up before pursuing a Ph.D. in computer science. After 16 years at the City University of Hong Kong, he joined MBZUAI in January 2024. He graduated 21 Ph.D students during his time in Hong Kong and 11 of them have gone on to become professors/associate professors.
  • Ph.D. in computer science from the University of Texas at Dallas
  • Master of Science in computer science from the University of Texas at Dallas
  • Bachelor of Science in computer science and engineering from the University of Texas at Arlington
  • Bachelor of Science in architecture from the University of Texas at Arlington
  • IEEE NVMSA Best Paper Award 2023
  • ACM Distinguished Member 2021
  • ACM Hotstorage Best Paper Award 2021
  • Outstanding Supervisor Award 2018

  • Jinghuan Yu, Sam H. Noh, Young-ri Choi, Chun Jason Xue. "ADOC: Automatically Harmonizing Dataflow Between Components in Log-Structured Key-Value Stores for Improved Performance." In: 21st USENIX Conference on File and Storage Technologies, FAST 2023, Santa Clara, CA, USA, February 21-23, 2023.
  • Changlong Li, Yu Liang, Rachata Ausavarungnirun, Zongwei Zhu, Liang Shi, Chun Jason Xue. "ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices." In: Proceedings of the Eighteenth European Conference on Computer Systems, EuroSys 2023, Rome, Italy, May 8-12, 2023.
  • Hongchao Du, Qiao Li, Riwei Pan, Tei-Wei Kuo and Chun Jason Xue, "Multi-Granularity Shadow Paging with NVM Write Optimization for Crash-Consistent Memory-Mapped I/O", 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2023), Montreal, Canada, 25/02/23 - 1/03/23.
  • Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue. "Faster and Stronger Lossless Compression with Optimized Autoregressive Framework." In: 60th ACM/IEEE Design Automation Conference (DAC 2023), San Francisco, CA, USA, July 9-13, 2023

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