A person wearing a VR headset extends both arms in front of two large projected figures on a dark background.

Tianyi Hu

My research spans augmented and virtual reality, mobile systems, deep learning, and reinforcement learning.

Duke University · I3T Lab

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Portrait of Tianyi Hu

Selected research

Complete ISMAR Figure 2 showing a stacked 3D-printed head and helmet rig before and after installation of multiple XR devices and motion-capture markers.

XR Device Spatial Tracking Benchmarks

IEEE ISMAR · 2025

How accurately, consistently, and transparently do current XR devices track motion in realistic conditions?

PaperCode
SEESys pipeline from camera frames and visual SLAM through runtime monitoring to an edge-server DeepSEE model and pose-error estimate.

Online SLAM Pose Error Estimation

ACM SenSys · 2024

Can an XR system recognize when its own pose estimate is becoming unreliable before the user notices failure?

PaperCode
Two VR views showing hand-boundary calibration followed by a tutorial pointing toward a target.

Patient-Centered VR Rehabilitation in the ICU

IEEE TVCG · 2026

Can immersive activity be safe, measurable, and motivating inside the constraints of critical care?

Paper

Publications

Full list on Google Scholar ↗
2026
  1. SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces

    T. Du, T. Hu, H. Ye, and M. Gorlatova

    Journal Article · ACM IMWUT · forthcoming

  2. Rhythms of Recovery: Patient-Centered Virtual Reality Exergame for Physical Rehabilitation in the Intensive Care Unit

    S. Eom, T. Hu, W. Xu, L. Zou, E. Escobar, G. Streisfeld, A. Mall, B. Granger, and M. Gorlatova

    Journal Article · IEEE TVCG

  3. No Guide, No Cheat: Detecting Smart Glasses via AR Optical Signatures

    H. Ye, T. Hu, and M. Gorlatova

    Workshop Paper · ACM HotMobile

  4. Demo: Catch Smart Glasses If You Scan: Robot-Controlled vs. UI-Guided

    H. Ye, T. Hu, V. Kasabrukhau, S. Khydyr uulu, and M. Gorlatova

    Demo Paper · ACM HotMobile · ACM HotMobile 2026 Best Demo Award

2025
  1. XR Reality Check: What Commercial Devices Deliver for Spatial Tracking

    T. Hu, T. Du, Z. Qu, and M. Gorlatova

    Conference Paper · IEEE ISMAR

  2. Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality

    Z. Qu, T. Hu, C. Fronk, and M. Gorlatova

    Conference Paper · IEEE ISMAR

  3. Demo: More Than Just Compressions: Attentional Tunneling in Augmented Reality-Guided Cardiopulmonary Resuscitation

    Z. Qu, T. Hu, and M. Gorlatova

    Demo Paper · XR Security 2025 · co-located with ACM MobiHoc

2024
  1. Apple vs. Meta: A Comparative Study on Spatial Tracking in SOTA XR Headsets

    T. Hu, F. Yang, T. Scargill, and M. Gorlatova

    Workshop Paper · ACM ImmerCom · co-located with MobiCom

  2. Did I Do Well? Personalized Assessment of Trainees' Performance in Augmented Reality-Assisted Neurosurgical Training

    S. Eom, T. Ma, T. Hu, N. Vutakuri, J. Jackson, and M. Gorlatova

    Workshop Paper · IEEE TrainingXR

  3. Accuracy of Routine External Ventricular Drain Placement Following a Mixed Reality-Guided Twist-Drill Craniostomy

    S. Eom, T. S. Ma, N. Vutakuri, T. Hu, A. P. Haskell-Mendoza, D. A. W. Sykes, M. Gorlatova, and J. Jackson

    Journal Article · Neurosurgical Focus

  4. SEESys: Online Pose Error Estimation System for Visual SLAM

    T. Hu, T. Scargill, F. Yang, Y. Chen, G. Lan, and M. Gorlatova

    Conference Paper · ACM SenSys

2023
  1. SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error Estimation

    T. Scargill, Y. Chen, T. Hu, and M. Gorlatova

    Conference Paper · IEEE ISMAR

  2. DNN-Based SLAM Tracking Error Online Estimation

    T. Hu, T. Scargill, Y. Chen, G. Lan, and M. Gorlatova

    Demo Paper · ACM MobiCom

  3. A Smart Patient Initiated Controlled Analgesic Recording Dispenser (PICARD) for Prescription Abuse Prevention

    M. Segura, T. Hu, B. M. Neda, L. Xia, R. Wei, P. Gulur, S. Liao, G. P. Li, and S. Gago-Masague

    Conference Paper · IEEE WFIoT

2022
  1. Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks

    M. Issa, S. Shahhosseini, Y. Ni, T. Hu, D. Abraham, A. M. Rahmani, N. Dutt, and M. Imani

    Conference Paper · IEEE ICCD

  2. Hybrid Learning for Orchestrating Deep Learning Inference in Multi-User Edge-Cloud Networks

    S. Shahhosseini, T. Hu, D. Seo, A. Kanduri, B. Donyanavard, A. M. Rahmani, and N. Dutt

    Conference Paper · IEEE ISQED · Best Paper Award

  3. Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks

    S. Shahhosseini, D. Seo, A. Kanduri, T. Hu, S. Lim, B. Donyanavard, A. M. Rahmani, and N. Dutt

    Journal Article · ACM TECS

2019
  1. Scan-Flood Fill (SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions

    Y. He, T. Hu, and D. Zeng

    Workshop Paper · IEEE/CVF CVPRW

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