publications by categories in reversed chronological order.


  1. USENIX Security
    A New Hope: Contextual Privacy Policies for Mobile Applications And an Approach Toward Automated Generation
    Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, and 2 more authors
    In USENIX Security 2024 Sep 2024
  2. CHI SIG
    Human-Centered Privacy Research in the Age of Large Language Models
    Tianshi Li, Sauvik Das, Hao-Ping (Hank) Lee, Dakuo Wang, Bingsheng Yao, and Zhiping Zhang
    In CHI Conference on Human Factors in Computing Systems (CHI’24 Companion) Apr 2024
  3. CHI
    “It’s a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
    Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, and Tianshi Li
    In CHI Conference on Human Factors in Computing Systems Apr 2024
  4. CHI
    ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
    Jackie Junrui Yang, Yingtian Shi, Yuhan Zhang, Karina Li, Daniel Wan Rosli, Anisha Jain, Shuning Zhang, Tianshi Li, and 2 more authors
    In CHI Conference on Human Factors in Computing Systems Apr 2024
  5. IMWUT
    Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels
    Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, and Jason I Hong
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Apr 2024


  1. SOUPS Poster
    Measuring the Effectiveness of Spinner-based Randomized-Response Differential Privacy Communication for Sensitive Data Sharing
    Seoyoung Ko, Sriram Viswanathan, Alan Esquenazi, Swadhin Routray, Jatan Loya, Tianshi Li, and Lorrie Faith Cranor
    In SOUPS 2023 Poster Aug 2023
  2. SOUPS Poster
    Analyzing Developers’ Perceptions, Attitudes and Challenges in Complying with Mobile App Store Privacy Requirements
    Geetika Gopi, Peter Meyers, Thanyanun Charoensiritanasin, Jayson Jin, Ragashree Mysuru Chandrashekar, Lorrie Faith Cranor, and Tianshi Li
    In SOUPS 2023 Poster Aug 2023
  3. PhD Dissertation
    Privacy Annotations: Designing Privacy Support for Developers
    Tianshi Li
    Aug 2023
    Shaping the Emerging Norms of Using Large Language Models in Social Computing Research
    Hong Shen, Tianshi Li, Toby Jia-jun Li, Joon Sung Park, and Diyi Yang
    In Computer Supported Cooperative Work and Social Computing (CSCW’23 Companion) Oct 2023


  1. CHI
    Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels
    Tianshi Li, Kayla Reiman, Yuvraj Agarwal, Lorrie Faith Cranor, and Jason I Hong
    In CHI Conference on Human Factors in Computing Systems Apr 2022
    Best Paper Honorable Mention Award 🏅
  2. PETS
    Understanding privacy-related advice on Stack Overflow
    Mohammad Tahaei, Tianshi Li, and Kami Vaniea
    Proc. Priv. Enhancing Technol. Apr 2022
  3. PETS
    Charting app developers’ journey through privacy regulation features in ad networks
    Mohammad Tahaei, Kopo M Ramokapane, Tianshi Li, Jason I Hong, and Awais Rashid
    Proc. Priv. Enhancing Technol. Jul 2022
  4. TOCHI
    Alert now or never: Understanding and predicting notification preferences of smartphone users
    Tianshi Li, Julia Katherine Haines, Miguel Flores Ruiz Eguino, Jason I Hong, and Jeffrey Nichols
    ACM Trans. Comput. Hum. Interact. Feb 2022
  5. TOCHI
    C-PAK: Correcting and completing variable-length Prefix-based Abbreviated Keystrokes
    Tianshi Li, Philip Quinn, and Shumin Zhai
    ACM Trans. Comput. Hum. Interact. Jul 2022
  6. CHI LBW
    Understanding iOS privacy nutrition labels: An exploratory large-scale analysis of app store data
    Yucheng Li, Deyuan Chen, Tianshi Li, Yuvraj Agarwal, Lorrie Faith Cranor, and Jason I Hong
    In CHI Conference on Human Factors in Computing Systems Extended Abstracts Apr 2022


  1. arXiv
    The design of the user interfaces for Privacy Enhancements for Android
    Jason I Hong, Yuvraj Agarwal, Matt Fredrikson, Mike Czapik, Shawn Hanna, Swarup Sahoo, Judy Chun, Won-Woo Chung, and 17 more authors
    Apr 2021
  2. IMWUT
    Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices
    Tianshi Li, Elijah B Neundorfer, Yuvraj Agarwal, and Jason I Hong
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Sep 2021
  3. CSCW
    How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit
    Tianshi Li, Elizabeth Louie, Laura Dabbish, and Jason I Hong
    Proc. ACM Hum. Comput. Interact. Jan 2021
  4. PMC
    What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention
    Tianshi Li, Camille Cobb, Jackie (junrui) Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, and Jason I Hong
    Pervasive Mob. Comput. Aug 2021
    Best Research Paper 2019-2021 Award 🏆


  1. arXiv
    Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps
    Tianshi Li,  Jackie,  Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, and Jason I Hong
    May 2020
  2. CHI EA
    Analyzing the Role of General App Creators in Protecting the Privacy of Vulnerable Populations
    Tianshi Li, and Jason I. Hong
    Apr 2020


    Demystifying Complex Workload–DRAM Interactions: An Experimental Study
    Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, and Onur Mutlu
    Proc. ACM meas. anal. comput. syst. Dec 2019


  1. IMWUT
    Coconut: An IDE Plugin for Developing Privacy-Friendly Apps
    Tianshi Li, Yuvraj Agarwal, and Jason I Hong
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Dec 2018


  1. arXiv
    Using ECC DRAM to adaptively increase memory capacity
    Yixin Luo, Saugata Ghose, Tianshi Li, Sriram Govindan, Bikash Sharma, Bryan Kelly, Amirali Boroumand, and Onur Mutlu
    Jun 2017


    Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.
    Kevin K Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, and 2 more authors
    In Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science Jun 2016