Tianshi Li
Orcid: 0000-0003-0877-5727Affiliations:
- Northeastern University, Boston, MA, USA
- Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2023)
According to our database1,
Tianshi Li authored at least 52 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on tianshili.me
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2026
CoRR, February, 2026
CoRR, January, 2026
Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset.
CoRR, January, 2026
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR).
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
PrivacyMotiv: Vulnerability-Centered Persona Journeys for Empathic Privacy Reviews in UX Design.
Proceedings of the 2026 Designing Interactive Systems Conference, 2026
2025
CoRR, November, 2025
CoRR, October, 2025
CoRR, October, 2025
PrivacyMotiv: Speculative Persona Journeys for Empathic and Motivating Privacy Reviews in UX Design.
CoRR, October, 2025
Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing.
CoRR, September, 2025
CoRR, April, 2025
The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections.
CoRR, April, 2025
'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices.
Proc. ACM Hum. Comput. Interact., 2025
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations.
Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025
2024
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering.
CoRR, 2024
Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents.
CoRR, 2024
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for Navigating Privacy Trade-offs in LLM-Based Conversational Agent.
CoRR, 2024
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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
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
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study.
CoRR, 2019
Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 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