Tianshi Li
Orcid: 0000-0003-0877-5727Affiliations:
- Carnegie Mellon University, Pittsburgh, PA, USA
According to our database1,
Tianshi Li
authored at least 25 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on dl.acm.org
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Bibliography
2024
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices.
CoRR, 2024
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
CoRR, 2024
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
C-PAK: Correcting and Completing Variable-Length Prefix-Based Abbreviated Keystrokes.
ACM Trans. Comput. Hum. Interact., February, 2023
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
CoRR, 2023
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
2022
Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users.
ACM Trans. Comput. Hum. Interact., 2022
Proc. Priv. Enhancing Technol., 2022
Proc. Priv. Enhancing Technol., 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
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.
Pervasive Mob. Comput., 2021
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
2020
How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit.
Proc. ACM Hum. Comput. Interact., 2020
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps.
CoRR, 2020
2019
Proc. ACM Meas. Anal. Comput. Syst., 2019
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study.
CoRR, 2019
2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips.
CoRR, 2018
2017
2016
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016