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Dr. Beilei Jiang

Clinical Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Beilei.Jiang@unt.edu

Education

  • PhD, University of North Texas, 2022
    Major: Computer Science and Engineering
    Dissertation: Deep Learning Optimization and Acceleration

Professional Positions

    Professional

  • Clinical Assistant Professor, University Of North Texas/Computer Science and Engineering. University Of North Texas/Computer Science and Engineering. (2022 - Present).

Development Activities

  • Conference Attendance, 52nd International Conference on Parallel Processing, ACM. Salt Lake,Utah,United States of America. (August 7, 2023 - August 10, 2023).
  • Other (ABCA Training), ABCA Training: Autism Spectrum Differences, 2e Twice Exceptional and Dyslexia, UNT. United States of America. (October 14, 2022 - October 14, 2022).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 1035 - Computer Programming I, 2 courses.
  • CSCE 3110 - Data Structures and Algorithms, 3 courses.
  • CSCE 4620 - Real Time Operating Systems, 3 courses.
  • CSCE 5150 - Analysis of Computer Algorithms, 10 courses.
  • CSCE 5610 - Computer System Architecture, 9 courses.
  • CSCE 5620 - Real Time Operating Systems, 4 courses.
  • CSCE 5933 - Topics in Computer Science and Engineering, 1 course.

Awards and Honors

  • Google Cloud Research Credit, Google. (October 6, 2023).
  • Faculty First Flight Award, UNT. (July 31, 2023).
  • Thank-a-Teacher Program Recognition, UNT. (July 28, 2023).
  • Google Cloud Research Credit, Google. (September 26, 2022).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Jiang, B., Cheng, X., Li, Y., Fu, S., Yang, Q., Liu, M., Olvera, A. (2023). Output-Directed Dynamic Quantization for DNN Acceleration. 645-654. International Conference on Parallel Processing (ICPP).
  • Jiang, B., Cheng, X., Tang, S., Ma, X., Gu, Z., Fu, S., Yang, Q., Liu, M. (2022). MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.. International Parallel and Distributed Processing Symposium (IPDPS. 1184-1194. https://ieeexplore.ieee.org/abstract/document/9820611
  • Gu, Z., Tang, S., Jiang, B., Huang, S., Guan, Q., Fu, S. (2021). Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). https://ieeexplore.ieee.org/abstract/document/9460684
  • Jiang, B., Cheng, X., Tang, S., Ma, X., Gu, Z., Zhao, H., Fu, S. (2021). APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. https://dl.acm.org/doi/abs/10.1145/3431920.3439461
  • Cheng, X., Zhao, H., Kandemir, M., Jiang, B., Mehta, G. (2020). AMOEBA: a coarse-grained reconfigurable architecture for dynamic GPU scaling. The 34th ACM International Conference on Supercomputing. https://dl.acm.org/doi/abs/10.1145/3392717.3392738
  • Cheng, X., Zhao, H., Kandemir, M., Mohanty, S., Jiang, B. (2020). Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing. 2020 21st International Symposium on Quality Electronic Design (ISQED). https://ieeexplore.ieee.org/abstract/document/9136967
  • Cheng, X., Zhao, Y., Robaei, M., Jiang, B., Zhao, H., Fang, J. (2019). A low-cost and energy-efficient noc architecture for GPGPUs. ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS).

Presentations Given

    Paper

  • Jiang, B. (Presenter), International Conference on Parallel Processing, Output-Directed Dynamic Quantization for DNN Acceleration, ACM, Salt Lake City, United States of America. (2023 - 2023).

Service

University Service

  • Other (Online course design review chair), Online course design. (November 2023 - Present).
  • Member, Student Assessment Team. (July 2023 - Present).
  • Attendee, Meeting, Monthly Faculty Meeting. (August 2022 - Present).
  • Program Coordinator, Course Coordinator. (2022 - Present).
  • Committee Member, Personnel Affairs Committee (PAC). (January 2023 - December 2023).

Professional Service

  • Area Chair (Poster Co-Chair), The 16th IEEE/ACM International Conference on Utility and Cloud Computing(UCC2023). Taormina (Messina), (December 7, 2023).
  • Reviewer, Conference Paper, The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023). Taormina (Messina), (October 2023 - October 2023).
  • Committee Member, 42nd IEEE International Performance Computing and Communications Conference (IPCCC'23). Anaheim, California. (July 2023 - July 2023).
  • Reviewer, Journal Article, IEEE Transactions on Multimedia. (April 24, 2023 - May 15, 2023).
  • Committee Member (Program Committee), 15th IEEE/ACM International Conference on Utility and Cloud Computing(UCC2022). (2022 - October 2022).
  • Reviewer, Conference Paper, 2022 IEEE Cloud Summit. (2022 - 2022).
  • Reviewer, Conference Paper, IEEE International Conference on Multimedia & Expo (ICME) (2022). (February 2022 - 2022).