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.

Publications

  • Analyzing the Role of General App Creators in Protecting the Privacy of Vulnerable Populations. CHI 2020 Workshop: Privacy and Power: Acknowledging the Importance of Privacy Research and Design for Vulnerable Populations. [pdf]
    Tianshi Li, Jason I. Hong.
  • Demystifying Complex Workload–DRAM Interactions: An Experimental Study. SIGMETRICS 2019. [preprint version]
    Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu
  • Coconut: An IDE Plugin for Developing Privacy-Friendly Apps. IMWUT 2018 / UbiComp 2019. [pdf] [project website] [talk slides] [news story]
    Tianshi Li, Yuvraj Agarwal, Jason I. Hong.
  • Using ECC DRAM to Adaptively Increase Memory Capacity. in arXiv preprint 2017. [pdf]
    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. SIGMETRICS 2016. [pdf]
    Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu.