Yunqi Guo（郭运奇）

Ho Sin Hang Engineering Building, CUHK

Shatin, N.T., Hong Kong

I am currently a postdoctoral fellow at CUHK, working with Prof. Guoliang Xing in the innovative CUHK AIoT Lab. My research, focusing on AR/mobile systems and visual language interaction, is primarily aimed at developing assistive AR for daily life. I am deeply committed to creating technology that enhances life experiences.

I earned my Ph.D. in Computer Science from UCLA under the mentorship of Prof. Songwu Lu. I also obtained my M.S. from UCLA in 2018. Prior to that, I received a B.S. from Shanghai Jiao Tong University (SJTU) in 2016, guided by Prof. Xinbing Wang.

Fun facts about me… I am actively exploring the intersection of technology and accessibility, having visited more than 10 organizations and groups that promote societal accessibility. I have a passion for modern art and photography, and I use some shots from my collection, YunqiGuo’s Gallery, as my wallpapers. Finally, I enjoy off-roading and motorcycling.

news

May 13, 2024	🤝 AnySign sponsored accessibility at CPS-IoT Week 2024 with ASL interpretation. Learn more about our commitment: Bridging the Accessibility Gap.
Apr 18, 2024	🧑🏻‍💼Honored to present an invited talk at The Hong Kong Polytechnic University (PolyU) on Assistive AR Systems and our latest field studies.
Feb 29, 2024	☕️ I’ve started working at CUHK as a postdoctoral fellow. If you’re interested in developing a cool AR/AI/IoT system, feel free to join our team for a coffee chat!
Nov 15, 2023	🧑🏻‍💼 Delighted to have delivered an invited talk at the China Rehabilitation Research Center for Hearing and Speech Impairment. I discussed AI and wearable systems for assistive technologies and met inspiring frontline teachers and researchers.
Oct 15, 2023	🌍 Traveled to visit several special education schools across regions.

latest posts

Jun 15, 2024	Why Spatial Photos and Videos Offer More Immersion than 3D
Jun 15, 2024	Why We Keep Sponsoring Accessibility in Tech Conferences
Aug 19, 2021	Install Mediapipe in Blender

selected publications

2023

MobiCom’23

Sign-to-911: Emergency Call Service for Sign Language Users with Assistive AR Glasses

Yunqi Guo, Jinghao Zhao, Boyan Ding, and 6 more authors

MobiCom, 2023

Abs Slides

Sign-to-911 offers a compact mobile system solution to fast and runtime American Sign Language (ASL) and English translations. It is designated as 911 call services for ASL users with hearing disabilities upon emergencies. It enables bidirectional translations of ASL-to-English and English-to-ASL. The signer wears the AR glasses, runs Sign-to-911 on his/her smartphone and glasses, and interacts with a 911 operator. The design of Sign-to-911 departs from the popular deep learning based solution paradigm, and adopts simpler traditional AI/machine learning (ML) models. The key is to exploit ASL linguistic features to simplify the model structures and improve accuracy and speed. It further leverages recent component solutions from graphics, vision, natural language processing, and AI/ML. Our evaluation with six ASL signers and 911 call records has confirmed its viability.
TMC’23

LDRP: Device-Centric Latency Diagnostic and Reduction for Cellular Networks without Root

Zhaowei Tan, Jinghao Zhao, Yuanjie Li, and 3 more authors

IEEE TMC, 2023

2021

CNS’21

A Model Obfuscation Approach to IoT Security

Yunqi Guo, Zhaowei Tan, Kaiyuan Chen, and 2 more authors

IEEE CNS, 2021

Co-first author
ACSAC’21

On Key Reinstallation Attacks over 4G LTE Control-Plane: Feasibility and Negative Impact

Muhammad Taqi Raza, Yunqi Guo, Songwu Lu, and 1 more author

ACM ACSAC, 2021
MobiCom’21

SecureSIM: Rethinking Authentication and Access Control for SIM/eSIM

Jinghao Zhao, Boyan Ding, Yunqi Guo, and 2 more authors

AMC MobiCom, 2021
MobiCom’21

Data-Plane Signaling in Cellular IoT: Attacks and Defense

Zhaowei Tan, Boyan Ding, Jinghao Zhao, and 2 more authors

ACM MobiCom, 2021
MobiCom’21

Experience: a Five-Year Retrospective of MobileInsight

Yuanjie Li, Chunyi Peng, Zhehui Zhang, and 9 more authors

ACM MobiCom, 2021

2020

ICCCN’20

Towards Model-Centric Security for IoT Systems

Yunqi Guo, Zhaowei Tan, and Songwu Lu

IEEE ICCCN, 2020

Invited paper