Lei Deng

Efficient AI, Sparse Attention, and Theory-driven AI Systems Research

Experience

Experience

Research, academic, and engineering experience across efficient AI, networking theory, communication systems, and performance-critical implementation.

Professional Experience

  1. Senior Researcher, Huawei Theory Lab (July 2022-present)
    Hong Kong SAR.
    Research on efficient AI, with emphasis on sparse attention, long-context modeling, and related theoretical tools.

  2. Assistant Professor, Shenzhen University (July 2019-June 2022)
    Shenzhen, Guangdong, China.
    College of Electronics and Information Engineering. Research and teaching in multimedia networking and optimization, especially on real-time communications (RTC).

  3. Postdoctoral Researcher, The Chinese University of Hong Kong (July 2017-June 2019)
    Hong Kong SAR.
    Department of Information Engineering. Work on delay-constrained networking systems.

  4. Ph.D. Student, The Chinese University of Hong Kong (August 2013-June 2017)
    Hong Kong SAR.
    Department of Information Engineering. Research on delay-constrained networking systems and mathematical foundations for networked systems.

  5. Visiting Scholar, Purdue University (May 2015-October 2015)
    West Lafayette, Indiana, USA.
    School of Electrical and Computer Engineering. Research collaboration in MDP-based networking scheduling theory.

  6. Linux C/C++ Developer, Empiricus Capital Management LLC (September 2012-August 2013)
    Shanghai, China.
    Worked on high-frequency automated trading systems and performance-critical engineering.

  7. R&D Intern, Shanghai Advanced Research Institute, Chinese Academy of Sciences (November 2011-June 2012)
    Shanghai, China.
    Worked on energy efficiency in wireless communication systems.

Education

  • The Chinese University of Hong Kong
    Doctor of Philosophy (PhD), Information Engineering, 2013-2017

  • Shanghai Jiao Tong University
    Bachelor, Electronic Engineering, 2008-2012