About me

I am currently pursuing Ph.D. Electrical and Computer Engineering in University of California Riverside, advised by Dr. Hyoseung Kim and Dr. Cong Liu. I have received M.S. Computer Engineering in University of California Riverside, advised by Dr. Hung-Wei Tseng, and B.S. Cognitive Science with Specialization of Human-Computer Interaction in University of California San Diego. I have also worked as a senior full-stack software developing engineer in Verizon™ GNT group.

Current research interests are:

• Real-time eXtended Reality: Designing efficient and practical XR system framework to enable fast-growing XR deployment.
• Machine Learning on Real-Time Embedded System: Supporting high performance machine learning workloads on real-time embedded system like battery-less devices.

News

  • 09/2024: One paper has been accepted by 2024 Southern California Robotics Symposium (SCR 2024)
  • 07/2024: One paper has been accepted by 45th IEEE Real-Time Systems Symposium (RTSS 2024)
  • 05/2024: One paper has been accepted by 2024 ACM SIGBED International Conference on Embedded Software (EMSOFT 2024)

Research

Real-time XR

Supporting emergent tasks with runtime framework on state-of-the-art extended reality devices.

Motion Optimization: [RTSS'24]
XR-Robot Teleoperation: [SCR'24]

Embedded System AI

Deploying intelligent applications on resource constrained hardware platforms.

Intermittence-aware Inference: [EMSOFT'24]

Battery-less Devices

Enabling computation-intensive tasks on battery-less devices that harvest ambient energy to operate.

Energy harvesting devices: [EMSOFT'24]

Publications

  • Ziliang Zhang, Zexin Li, Hyoseung Kim, Cong Liu
    BOXR: Body and head motion Optimization framework for eXtended Reality
    45th IEEE Real-Time Systems Symposium (RTSS 2024) [PDF]
  • Ziliang Zhang, Cong Liu, Hyoseung Kim
    MII: A Multifaceted Framework for Intermittence-aware Inference and Scheduling
    2024 ACM SIGBED International Conference on Embedded Software (EMSOFT 2024) [PDF]
  • Ziliang Zhang, Cong Liu, Hyoseung Kim
    Toward a Predictive eXtended Reality Teleoperation System with Duo-Virtual Spaces
    2024 Southern California Robotics Symposium (SCR 2024) [PDF]
  • Yuanjie Zhuy, Hussah Alrashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y Ali, Amr Magdy
    On the Ecosystem of High-Definition (HD) Maps
    2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW 2024) [Paper]
  • Ziliang Zhang
    Accelerate Intermittent Deep Inference
    arXiv:2407.14514 [arXiv]

Projects

  • Ziliang Zhang, Hung-Wei Tseng
    Project OpenRPT: Open Remote Physical Therapy, 03/2021 [Presentation]
  • Ziliang Zhang
    Security and Privacy of Data Center Review, 12/2020 [Presentation]

Reviewer and Member

· Current member @ RTEN lab & Dr. Cong Liu's Lab
· External Reviewer @ IEEE Real-Time Systems Symposium (RTSS)
· Former member @ ESCAL, UCR
· Former member @ Design Lab, UCSD
· Former member @ Global Ties, UCSD
· Former member @ Democracy Lab, UCSD

Experiences

Research Experience

  • [09/2022-Current] PhD Student and Researcher, University of California, Riverside.
    Research area: Machine Learning on Embedded System including Extended Reality (XR) and MCUs     UCR Logo
  • [09/2020-03/2021] Lab Researcher, University of California, Riverside.
    Developed a Complete Human-Computer Interaction prototype. Conducted actual testing with trainer and improved based on the feedback     UCR Logo

Work Experience

  • [07/2021-09/2022] Fullstack Software Developer, Verizon GNT Group.
    Responsible for Multiple Restful APIs Development and Maintenance.     Verizon Logo

Teaching Experience

  • [01/2024-03/2024] Teaching Assistant, Electrical and Computer Engineering.
    University of California, Riverside.
    Assisted with the course EE255 Real-Time Embedded Systems.     UCR Logo
  • [01/2023-03/2023] Teaching Assistant, Electrical and Computer Engineering.
    University of California, Riverside.
    Assisted with the course EE128 Data Acquisition, Instrumentation and Process Control.     UCR Logo

Statistics

  • 2022 PhD Since
  • 2 Years Working
  • 5 Paper Published
  • 89 Github Repos
  • 6 Team Joined