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 001; Gennady Pekhimenko; Samira Manabi Khan; Onur Mutlu (SIGMETRICS, 2016)

Using ECC DRAM to Adaptively Increase Memory Capacity. - Yixin Luo; Saugata Ghose; Tianshi Li 001; Sriram Govindan; Bikash Sharma; Bryan Kelly; Amirali Boroumand; Onur Mutlu (CoRR, 2017)

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. - Kevin K. Chang; Abhijith Kashyap; Hasan Hassan; Saugata Ghose; Kevin Hsieh; Donghyuk Lee; Tianshi Li 001; Gennady Pekhimenko; Samira Manabi Khan; Onur Mutlu (CoRR, 2018)

Coconut: An IDE Plugin for Developing Privacy-Friendly Apps. - Tianshi Li 001; Yuvraj Agarwal; Jason I. Hong (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study. - Saugata Ghose; Tianshi Li 001; Nastaran Hajinazar; Damla Senol Cali; Onur Mutlu (CoRR, 2019)

Demystifying Complex Workload-DRAM Interactions: An Experimental Study. - Saugata Ghose; Tianshi Li 001; Nastaran Hajinazar; Damla Senol Cali; Onur Mutlu (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. - Tianshi Li 001; Jackie Yang; Cori Faklaris; Jennifer King; Yuvraj Agarwal; Laura Dabbish; Jason I. Hong (CoRR, 2020)

How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit. - Tianshi Li 001; Elizabeth Louie; Laura Dabbish; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2020)

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; Aniruddh Iyer; Ally Liu; Shen Lu; Rituparna Roychoudhury; et al. (CoRR, 2021)

Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices. - Tianshi Li 001; Elijah B. Neundorfer; Yuvraj Agarwal; Jason I. Hong (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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. - Tianshi Li 001; Camille Cobb; Jackie (Junrui) Yang; Sagar Baviskar; Yuvraj Agarwal; Beibei Li 003; Lujo Bauer; Jason I. Hong (Pervasive Mob. Comput., 2021)

Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data. - Yucheng Li; Deyuan Chen; Tianshi Li 001; Yuvraj Agarwal; Lorrie Faith Cranor; Jason I. Hong (CHI Extended Abstracts, 2022)

Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels. - Tianshi Li 001; Kayla Reiman; Yuvraj Agarwal; Lorrie Faith Cranor; Jason I. Hong (CHI, 2022)

Understanding Privacy-Related Advice on Stack Overflow. - Mohammad Tahaei; Tianshi Li 001; Kami Vaniea (Proc. Priv. Enhancing Technol., 2022)

Charting App Developers' Journey Through Privacy Regulation Features in Ad Networks. - Mohammad Tahaei; Kopo M. Ramokapane; Tianshi Li 001; Jason I. Hong; Awais Rashid (Proc. Priv. Enhancing Technol., 2022)

Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users. - Tianshi Li 001; Julia Katherine Haines; Miguel Flores Ruiz De Eguino; Jason I. Hong; Jeffrey Nichols 001 (ACM Trans. Comput. Hum. Interact., 2022)

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. - Hong Shen 004; Tianshi Li 001; Toby Jia-Jun Li; Joon Sung Park; Diyi Yang (CSCW Companion, 2023)

"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; Tianshi Li 001 (CoRR, 2023)

C-PAK: Correcting and Completing Variable-Length Prefix-Based Abbreviated Keystrokes. - Tianshi Li 001; Philip Quinn; Shumin Zhai (ACM Trans. Comput. Hum. Interact., 2023)

Human-Centered Privacy Research in the Age of Large Language Models. - Tianshi Li 001; Sauvik Das; Hao-Ping (Hank) Lee; Dakuo Wang; Bingsheng Yao; Zhiping Zhang (CHI Extended Abstracts, 2024)

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 001; James A. Landay; Monica S. Lam (CHI, 2024)

"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; Tianshi Li 001 (CHI, 2024)

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 001; Zhenchang Xing; Xiwei Xu 001; Mark Staples; Thierry Rakotoarivelo; David Lo 001 (USENIX Security Symposium, 2024)

Secret Use of Large Language Models. - Zhiping Zhang; Chenxinran Shen; Bingsheng Yao; Dakuo Wang; Tianshi Li 001 (CoRR, 2024)

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. - Chaoran Chen; Leyang Li; Luke Cao; Yanfang Ye 001; Tianshi Li 001; Yaxing Yao; Toby Jia-Jun Li (CoRR, 2024)

Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents. - Zhiping Zhang; Bingcan Guo; Tianshi Li 001 (CoRR, 2024)

LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering. - Jiessie Tie; Bingsheng Yao; Tianshi Li 001; Syed Ishtiaque Ahmed; Dakuo Wang; Shurui Zhou (CoRR, 2024)

Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels. - Tianshi Li 001; Lorrie Faith Cranor; Yuvraj Agarwal; Jason I. Hong (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

GenieWizard: Multimodal App Feature Discovery with Large Language Models. - Jackie (Junrui) Yang; Yingtian Shi; Chris Gu; Zhang Zheng; Anisha Jain; Tianshi Li 001; Monica S. Lam; James A. Landay (CHI, 2025)

'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices. - Shivani Kapania; Ruiyi Wang; Toby Jia-Jun Li; Tianshi Li 001; Hong Shen 004 (Proc. ACM Hum. Comput. Interact., 2025)

Secret Use of Large Language Model (LLM). - Zhiping Zhang; Chenxinran Shen; Bingsheng Yao; Dakuo Wang; Tianshi Li 001 (Proc. ACM Hum. Comput. Interact., 2025)

The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections. - Chaoran Chen; Zhiping Zhang; Bingcan Guo; Shang Ma; Ibrahim Khalilov; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents. - Chaoran Chen; Zhiping Zhang; Ibrahim Khalilov; Bingcan Guo; Simret Araya Gebreegziabher; Yanfang Ye 001; Ziang Xiao; Yaxing Yao; Tianshi Li 001; Toby Jia-Jun Li (CoRR, 2025)