Linjie Qiu
邱林杰 | Incoming Ph.D. Student
lqiu250@connect.hkust-gz.edu.cn
"I love elegant research."
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Hi, I am Linjie Qiu, an incoming Ph.D. student in the
Internet of Things (IoT) Thrust
at HKUST(GZ),
supervised by
Prof. Xudong Wang
and Prof. Mingming Fan.
I obtained M.Phil. degree from HKUST(GZ), where I worked in the
APEX Lab. Before that, I received my bachelor's degree from
Xiamen University.
Research Goal: To develop efficient, trustworthy, and productive agentic AI for real-world industrial workflows.
Research Interests: My research focuses on Agentic AI, Industrial AI, and Human-AI Collaboration:
1) Industrial Agentic Systems: Agents for real-world industrial workflows.
2) Efficient Agent Architectures: Efficient inference, memory, coordination, and tool use.
3) Trustworthy Enterprise Agents: Secure, private, auditable, and human-supervisable deployment.
Research Question: How can we build production-ready industrial agents that integrate fragmented engineering data and legacy tools while improving productivity, reducing cost and latency, and ensuring secure, verifiable, and human-supervisable operation?
I am recruiting two paid Research Assistants to work with me on Industrial Agentic AI.
If you are interested, please feel free to drop me an email with your CV and transcript.
LinkedIn /
Github
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Google Scholar
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CV (updated in August 2026)
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Interests
Agentic AI Systems
AI for Industrial Production
Secure & Trustworthy AI
Human-Computer Interaction
XR / Spatial Computing
Human Behavior Modeling
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Education
🎓 Ph.D. in Internet of Things
HKUST(GZ), China
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2026 - Present |
🎓 M.Phil. in Computational Media and Art
HKUST(GZ), China
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2024 - 2026 |
🎓 B.Eng. in Digital Media Technology
Xiamen University, China
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2020 - 2024 |
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Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Control
HAI
Boyu Li, Linjie Qiu, Lin-Ping Yuan, Duotun Wang, Yue Jiang, Hongbo Fu
ACM Symposium on User Interface Software and Technology (UIST 2026), conditionally accepted
[PDF]
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Direct vs. Score-based Selection: Understanding the Heisenberg Effect in Target Acquisition Across Input Modalities in Virtual Reality
VR/AR/MR HBM
Linjie Qiu, Duotun Wang, Boyu Li, Jiawei Li, Yulin Shen, Zeyu Wang, Mingming Fan
IEEE Transactions on Visualization and Computer Graphics (TVCG & IEEE VR 2026)
[PDF]
[Video]
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DesignMemo: Integrating Discussion Context into Online Collaboration with Enhanced Design Rationale Tracking
HAI
Boyu Li, Linjie Qiu, Duotun Wang, Qianxi Liu, Ryo Suzuki, Mingming Fan, Zeyu Wang
ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2025)
[PDF]
[Video]
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ExplorAR: Assisting Older Adults to Learn Smartphone Apps through AR-powered Trial-and-Error with Interactive Guidance A11Y VR/AR/MR HAI
Jiawei Li, Linjie Qiu, Zhiqing Wu, Qiongyan Chen, Ziyan Wang, Mingming Fan
ACM International Conference on Multimedia (MM 2025)
[PDF]
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FocalSelect: Improving Occluded Objects Acquisition with Heuristic Selection and Disambiguation in Virtual Reality VR/AR/MR
Duotun Wang*, Linjie Qiu* (Joint first authors), Boyu Li, Qianxi Liu, Xiaoying Wei, Jianhao Chen, Zeyu Wang, Mingming Fan
IEEE Transactions on Visualization and Computer Graphics (TVCG & IEEE VR 2025)
[PDF]
[Video]
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[Tool] VoxPilot Speaking Lab. 2026
A no-login English speaking practice system for
TOEFL-style repetition and interview drills. It supports
browser recording, playback, local scoring, pronunciation
diagnostics, review history, weakness tracking, and
optional AI/API enhanced feedback.
[Feedback]
Feel free to give feedback by dropping me an
email.
[Demo]
[GitHub]
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[VR Game] Sprayer Simulator. 2023
Inspired by Splatoon and under the support of PICO3, we
tried to create a sprayer painting game using Unity. In
this world, certain objects suddenly lose their color.
Now, armed with the spray gun, you can bring your
imagination to life, explore new frontiers, roam through
different scenes, and restore color to the black and
white world.
[Video]
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[Game] Read First. 2022
This is a 2D horizontal board action game developed by
Unity. Players take on the role of brave warriors
tasked with eliminating unknown monsters. Before facing
each boss, strategic decisions can be made on what
skills to equip based on the provided information.
Properly chosen skills can quickly defeat the boss,
while inappropriate ones will great increase the
difficulty of adventure.
[News] Our
game wins the Bronze Medal in
Game Industry Gold Kou Competition
(3/23).
[Video]
[Game Daily]
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Academic Services (Selected)
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Reviewer
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SIGCHI Conference on Human Factors in Computing Systems (CHI) 2026
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IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) 2026
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