Tianshi Li header image

About me

I'm a Ph.D. student at the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Prof. Jason Hong. My main research interest focuses on helping developers make privacy-friendly apps. I am particularly interested in understanding why people create apps that violate privacy and building tools for developers to make protecting user's privacy a simple and straightforward task. I also work on side projects about notifications and mobile text entry.


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. [arXiv preprint]
To appear at the Special Issue “IoT for Fighting COVID-19” of Elsevier Pervasive and Mobile Computing (PMC) Journal.
Tianshi Li, Camille Cobb, Jackie (Junrui) Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong.

How Developers Talk about Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit. [preprint] [5-minute talk]
CSCW 2020.
Tianshi Li, Elizabeth Louie, Laura Dabbish, Jason I. Hong.

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. [arXiv preprint] [project website]
in arXiv preprint 2020.
Tianshi Li, Jackie (Junrui) Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong.

Analyzing the Role of General App Creators in Protecting the Privacy of Vulnerable Populations. [pdf]
CHI 2020 Workshop: Privacy and Power: Acknowledging the Importance of Privacy Research and Design for Vulnerable Populations.
Tianshi Li, Jason I. Hong.

Demystifying Complex Workload–DRAM Interactions: An Experimental Study. [arXiv preprint]
Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu

Coconut: An IDE Plugin for Developing Privacy-Friendly Apps. [pdf] [project website] [talk slides] [news story] [demo video]
IMWUT 2018 / UbiComp 2019.
Tianshi Li, Yuvraj Agarwal, Jason I. Hong.

Using ECC DRAM to Adaptively Increase Memory Capacity [arXiv preprint].
in arXiv preprint 2017.
Yixin Luo, Saugata Ghose, Tianshi Li, Sriram Govindan, Bikash Sharma, Bryan Kelly, Amirali Boroumand, Onur Mutlu.

Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization. [pdf]
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu.