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Leijie Wang王雷捷
Fifth-Year PhD Student
University of Washington
leijiew@cs.washington.edu
Interests: Human-AI Interaction, AI Alignment, Social Computing
I am on the 2026–27 job market, seeking faculty positions and industry research scientist roles. Please reach out if you think I could be a good fit.

I am a fifth-year PhD student in Computer Science & Engineering at the University of Washington, advised by Amy X. Zhang in the Social Futures Lab. My research sits at the intersection of social computing and human–AI interaction. I design tools that empower everyday users—non-programmers, community moderators, and domain experts—to shape and control the algorithms that shape their online experiences. I am especially interested in combining LLMs, end-user programming techniques, and interactive machine learning to make algorithmic systems more understandable, customizable, and aligned with human intent.

I have interned at Adobe Research (2026) with Shunan Guo and Zhaoyang Xia, at Google Research and Google Ads & Safety (2024–2025) with Otilia Stretcu and Ranjay Krishna, and at Microsoft Research (2023) with Scott Counts. Before coming to UW, I received my B.Eng. in Computer Science and Engineering from Tsinghua University (Xinya College) in 2022, with a visiting year in Computer Science and Philosophy at New College, University of Oxford. During my undergraduate studies, I was a research assistant in the Social AI Group at Carnegie Mellon University, co-advised by Haiyi Zhu and Steven Wu, and in the CMU DIG lab advised by Adam Perer.

I am always happy to chat about research and collaborate, and I am glad to mentor undergraduate students who are interested in research. Feel free to drop me an email :)

Publications

Preprints and papers under review
Middleware for Feed Recommendation in Practice: How Feed Creators Build, Maintain, and Sustain Custom Feeds on Bluesky
Under review 2026
Tony Zhou*+, Leijie Wang*, Amy X. Zhang (* equal contribution; + mentored student)
When Recruitment “Deviates from the Perfect, Flawless CHI Paper”: Experiencing, Navigating, and Reporting Recruitment Challenges in HCI
Under review 2026
Kathryn Yurechko+, Leijie Wang, Amy X. Zhang (+ mentored student)
From Inquisitorial to Adversarial: Using Legal Theory to Redesign Online Reporting Systems
Under review 2026
Leijie Wang, Weizi Wu, Lirong Que, Nirvan Tyagi, Amy X. Zhang
Conference papers
Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections
UIST 2026
Aadit Barua*+, Leijie Wang*, Amy X. Zhang (* equal contribution; + mentored student)
Agile Deliberation: Concept Deliberation for Subjective Visual Classification
CVPR 2026 · Highlight (top 3.6% of submissions)
Leijie Wang, Otilia Stretcu, Wei Qiao, Thomas Denby, Krishnamurthy Viswanathan, Enming Luo, Chun-Ta Lu, Tushar Dogra, Ranjay Krishna, Ariel Fuxman
Promptimizer: User-Led Prompt Optimization for Personal Content Classification
CHI 2026
Leijie Wang, Kathryn Yurechko, Amy X. Zhang
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
CHI 2025
Leijie Wang, Kathryn Yurechko, Pranati Dani, Quan Ze Chen, Amy X. Zhang
From Pen to Prompt: How Creative Writers Integrate AI into Their Writing Practice
Creativity & Cognition (C&C) 2025
Alicia Guo, Shreya Sathyanarayanan, Leijie Wang, Jeffrey Heer, Amy X. Zhang
Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities
CHI 2024
Leijie Wang, Nicolas Vincent, Julija Rukanskaitė, Amy X. Zhang
“Is Reporting Worth the Sacrifice of Revealing What I Have Sent?”: Privacy Considerations When Reporting on End-to-End Encrypted Platforms
SOUPS 2023
Leijie Wang, Ruotong Wang, Sterling Williams-Ceci, Sanketh Menda, Amy X. Zhang
How Are Machine Learning Based Online Content Moderation Systems Actually Used? Studying Community Size, Local Activity, and Disparity Treatment
FAccT 2022
Leijie Wang, Steven Wu, Haiyi Zhu
Leveraging Analysis History for Improved In Situ Visualization Recommendation
EuroVis 2022
Will Epperson, Doris Jung-Lin Lee, Leijie Wang, Kunal Agarwal, Aditya Parameswaran, Marti Hearst, Dominik Moritz, Adam Perer
The Model Card Authoring Toolkit: Toward Community-Centered, Deliberation-Driven AI Governance
FAccT 2022
Hong Shen, Leijie Wang, Wesley Hanwen Deng, Ciell, Ronald Velgersdijk, Haiyi Zhu
Workshop papers
Hedwig: Dynamic Autonomy for Coding Agents Under Local Oversight
CAIS 2026
Tanjal Shukla+, K.J. Kevin Feng, Leijie Wang, Mohammad Rostami, Amy X. Zhang (+ mentored student)
Designing Privacy-Preserving Evidence Collection for Reporting Systems in Online Communities
CS&Law 2026
Leijie Wang, Weizi Wu, Lirong Que, Nirvan Tyagi, Amy X. Zhang
A Framework for Fair Ubiquitous Computing
FairComp workshop at UbiComp 2023
Han Zhang, Leijie Wang, Yilun Sheng, Xuhai Orson Xu, Jennifer Mankoff, Anind K. Dey