Hi! I am a senior undergraduate in the Tsien Excellence in Engineering Program (TEEP) at Tsinghua University. I am honored to be advised by Professor Hong Shen at the Human-Computer Interaction Institute and Professor Maarten Sap at the Language Technologies Institute at Carnegie Mellon University, as well as Professor Zhicong Lu at City University of Hong Kong. Previously, I was fortunate to be advised by Professor Chun Yu, Professor Weinan Shi at Pervasive Interaction Lab, Department of Computer Science and Technology, Tsinghua University.

My research interests lie in Human-Centered AI and Computer Vision. I develop systems to reshape user collaboration and communication with LLM-based chatbots, uncovering interesting insights. I hope to utilize algorithms to achieve human-AI alignment, particularly focusing on values and intentions.

I am particularly interested in the following topics:

• Human-AI Interaction, e.g., Creativity Support Systems, AI Companions, Context-Aware Systems
• Responsible AI & Social Computing, e.g., Value Alignment, Trustworthy LLMs
• Vision Models, e.g., Large Vision-and-Language Models (LVLMs), Diffusion Models
• Intelligent Speech Interaction

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Publications / Preprints (First/Second Author)

Xianzhe Fan, Zihan Wu, Chun Yu, Fenggui Rao, Weinan Shi, and Teng Tu. 2024. ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-Creation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 17 pages. Paper Video Preview

Xianzhe Fan, Qing Xiao, Xuhui Zhou, Yuran Su, Zhicong Lu, Maarten Sap, and Hong Shen. 2024. Minion: A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications. Under Review for CHI ’25.

Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, and Hong Shen. 2024. User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. Under Review for CHI ’25. Paper

Qing Xiao, Xianzhe Fan, Felix M. Simon, Bingbing Zhang, and Motahhare Eslami. 2024. “It Might be Technically Impressive, But It’s Practically Useless to Us”: Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry. Under Review for CHI ’25.

Experience

• Research Intern, Carnegie Mellon University, May 2024 - Present
• Research Intern, Pervasive Interaction Lab, Department of Computer Science and Technology, Tsinghua University, March 2022 - July 2024
• Undergraduate of Tsien Excellence in Engineering Program (TEEP), Tsinghua University, September 2021 - July 2025
  • GPA: 3.84/4.00

English Level

TOEFL 106

Academic Service

Conference Reviewer, MobileHCI 2024

Honors and Awards

• “Tsinghua Scholar Talent Program” Scholarship, 2021, 2022, 2023
• “Excellence in Science and Technology Innovation” University-level Scholarship, 2022, 2023
• Technical Leader of the “AI Research Project on Image Generation” under the Future Scientists and Information
• Selected for the “HeYe Plan”, 2023
• Second Prize in the Beijing Division of the National College Students’ Mathematical Modeling Contest 2022 (as team leader), 2022
• “WuXing Cup” Third Prize and Academic New Star Award, 2022
• First Prize in the 38th National College Students’ Physics Competition, 2021
• First Prize at the Provincial Level in the 37th National High School Students’ Physics Competition, 2020