About me

I am a last-year Ph.D. Candidate in Electrical and Computer Engineering at 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 an EDG intern in MathWorks™ GPU coder team and senior full-stack software developing engineer in Verizon™ GNT group.

My research interests is:

• Realtime AI Systems: Researching efficient AI algorithms and system frameworks for time-sensitive AI workloads including generative recommender systems, wearable AI, and edge AI systems.
• Real-time eXtended Reality (XR): Designing efficient and practical XR system framework to enable fast-growing AI glasses, VR/AR and XR teleoperation industries.

News

  • 06/2026: Joined Linkedin (Sunnyvale, CA) as AI/ML Engineer Intern - Search and Recommender Systems, PhD in Summer 2026
  • 06/2026: Presented one paper in ACM SIGMETRICS 2026
  • 03/2026: One paper has been accepted by ACM SIGMETRICS 2026
  • 06/2025: Joined MathWorks as a EDG Intern - GPU Coder team for Summer 2025
  • 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

Realtime AI Systems

Designing efficient and practical AI/ML system framework in real-time scenarios.

Efficient AI System Frameworks: [SIGMETRICS 2026 | RTSS'24 | EMSOFT'24]

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 | SIGMETRICS 2026]

Embedded System AI

Deploying intelligent applications on resource constrained hardware platforms.

Intermittence-aware Inference: [EMSOFT'24 | arXiv'24]

Publications

  • MATER: Mutually Aware Framework for Teleoperated-robot with Extended Reality
    Ziliang Zhang, Cong Liu, Hyoseung Kim
    ACM SIGMETRICS 2026 (SIGMETRICS 2026) [Talk | Code | Proceeding]
  • Low-Cost Sensing and Classification for Early Stress and Disease Detection in Avocado Plants
    Abdulrahman Bukhari, Bullo Mamo, Mst Shamima Hossain, Ziliang Zhang, Mohsen Karimi, Daniel Enright, Patricia Manosalva, Hyoseung Kim
    2025 IEEE Internet of Things Journal (IoT-J 2025) [Proceeding]
  • BOXR: Body and head motion Optimization framework for eXtended Reality
    Ziliang Zhang, Zexin Li, Hyoseung Kim, Cong Liu
    45th IEEE Real-Time Systems Symposium (RTSS 2024) [PDF | Talk | Code | arXiv | Proceeding]
  • MII: A Multifaceted Framework for Intermittence-aware Inference and Scheduling
    Ziliang Zhang, Cong Liu, Hyoseung Kim
    2024 ACM SIGBED International Conference on Embedded Software (EMSOFT 2024) [PDF | Proceeding]
  • Toward a Predictive eXtended Reality Teleoperation System with Duo-Virtual Spaces
    Ziliang Zhang, Cong Liu, Hyoseung Kim
    2024 Southern California Robotics Symposium (SCR 2024) [PDF]
  • On the Ecosystem of High-Definition (HD) Maps
    Yuanjie Zhuy, Hussah Alrashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y Ali, Amr Magdy
    2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW 2024) [Proceeding]
  • Accelerate Intermittent Deep Inference
    Ziliang Zhang
    arXiv:2407.14514 [arXiv]

Projects

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

Reviewer and Member

· Member @ RTEN Lab & Dr. Cong Liu's Lab
· Reviewer @ TECS, JSA
· External/Secondary Reviewer @ RTSS, ACL
· Former member @ ESCAL, UCR
· Former member @ Design Lab, UCSD
· Former member @ Global Ties, UCSD
· Former member @ Democracy Lab, UCSD

Experiences

Work Experience

  • [06/2026-09/2026] AI/ML Engineer Intern, Linkedin.
    [On-going] Worked in Retrieval team to build generative recommender systems.     Verizon Logo
  • [06/2025-09/2025] EDG Intern - GPU Coder Team, MathWorks.
    Developed IR optimization for CUDA Codegen and achieves 17x speedup in MATLAB product.     Verizon Logo
  • [07/2021-09/2022] Fullstack Software Developer, Verizon GNT Group.
    Responsible for Multiple Restful APIs Development and Maintenance.     Verizon Logo

Academic Experience

  • [09/2022-Current] PhD Student and Researcher, University of California Riverside.
    Research area: Realtime AI Systems and Real-time XR     UCR Logo
  • [09/2020-03/2021] Lab Researcher, University of California Riverside.
    Prototyped XR with TPU for pose estimation at 30 FPS stream and 83% less end-to-end latency.     UCR Logo

Teaching Experience

  • [12/2024-06/2025] Teaching Assistant, University of California Riverside.
    Outstanding TA Award. Assisted with the course EE128 Sensing and Actuation For Embedded Systems     UCR Logo
  • [01/2024-03/2024] Teaching Assistant, University of California Riverside.
    Assisted with the course EE255 Real-Time Embedded Systems.     UCR Logo
  • [01/2023-03/2023] Teaching Assistant, University of California Riverside.
    Assisted with the course EE128 Data Acquisition, Instrumentation and Process Control.     UCR Logo

Statistics

  • 2022 PhD Since
  • 2 Years of Experience
  • 7 Papers Published
  • 109 Github Repos
  • 9 Teams Joined