I am a postdoctoral fellow at CMA Thrust, the Hong Kong University of Science and Technology (Guangzhou); affiliated with the HKUST Visualization Lab supervised by Prof. Huamin Qu. I received my Ph.D. degree in computer science from Cornell University. Before that, I recieved my first-class honours bachelor’s degrees in computer science from University of Strathclyde, Glasgow, U.K. and BUCT, Beijing, China.
My research focuses on human-centered AI. More specifically, I analyze and address the usability & accessibility issues and security & privacy issues that arise when AI technologies are applied to enhance people’s daily lives. I have published at top-tier CS conferences in human-computer interaction or security & privacy research, such as ACM CHI, ACM ASSETS, IEEE S&P, and ACM CCS. I also collaborate closely with Fortune 500 businesses to facilitate the transition from AI in research to AI in practical applications.
🔥 News
- 2022.11: 🎉🎉 I have been awarded the Fellowship of China Postdoctoral Science Foundation! A big thank you to my research team!
- 2022.11: 🎉🎉 “CollectiAR: Computer Vision-Based Word Hunt for Children with Dyslexia” poster was accepted by CHI Play’22.
- 2022.10: 🎉🎉 “New Differential Privacy Communication Pipeline and Design Framework” poster was accepted by SOUPS’22.
📝 Selected Publications
Symbol * indicates that I am the (co-)corresponding author.

CollectiAR: Computer Vision-Based Word Hunt for Children with Dyslexia in the EA of the Annual Symposium on Computer-Human Interaction in Play (CHI Play), 2022.
Authors: Danlu Fei, Ze Gao, Linping Yuan, Zikai Alex Wen*
Abstract: The existing word recognition and spelling training games for children with dyslexia were not able to leverage children’s immediate vicinity. Therefore, we designed an augmented reality mobile game, CollectiAR, that uses computer vision to identify objects in the player’s immediate vicinity.
Pointers: Presentation

New Differential Privacy Communication Pipeline and Design Framework in the EA of the Eighteenth Symposium on Usable Privacy and Security (SOUPS), 2022.
Authors: Jingyu Jia, Zikai Alex Wen*, Zheli Liu, Changyu Dong
Abstract: To help users understand how differential privacy techniques may help protect their data, we propose a new communication pipeline that starts with asking users about their privacy concerns and then provides customized differential privacy mechanism and communication.

What.Hack: Engaging Anti-Phishing Training Through a Role-Playing Phishing Simulation Game in the proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), 2019.
Authors: Zikai Alex Wen, Zhiqiu Lin, Rowena Chen, Erik Andersen
Abstract: People being phished is due in part to insufficient and tiresome user training in cybersecurity. we designed the game What.Hack, which not only teaches phishing concepts but also simulates actual phishing attacks in a role-playing game to encourage the player to practice defending themselves.
Pointers: Game
📖 Full Publications
Symbol * indicates that I am the (co-)corresponding author. My current citation status is:
🎖 Honors and Awards
- 2022 The Fellowship of China Postdoctoral Science Foundation from CPSF
- 2022 AI 2000 Most Influential Scholar Award Honorable Mention in Security and Privacy from AMiner
- 2022 Outstanding Service Award from IEEE MMSP
- 2017 The Student Game Design Competition Runner-Up at ACM CHI
- 2014 The Andrew McGettrick Prize from University of Strathclyde, Glasgow
- 2014 The Outstanding Graduate of Beijing from Beijing Municipal Education Commission