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ORCIDTianshi Li 0001
Person information
- affiliation: Northeastern University, Boston, MA, USA
- affiliation (PhD 2023): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Tianshi Li 0002 — Peking University, School of Electronics Engineering and Computer Science, MoE Key Laboratory of Computational Linguistics, China
- Tianshi Li 0003
![[0000-0002-7481-7414]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-7481-7414")
— Dalian University of Technology, School of Economics and Management, China - Tianshi Li 0004 — Lucent Technologies, Chicago, IL, USA
- Tianshi Li 0005 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
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2020 – today
- 2026
[c19]Ziwen Li, Ziang Xiao, Tianshi Li:
Disclose with Care: AI Scaffolds for Privacy in Chatbot Interviews. CHI Extended Abstracts 2026: 234:1-234:5- [c18]Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li:
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. CHI 2026: 403:1-403:26 - [c17]Eryue Xu, Tianshi Li:
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management. CHI 2026: 404:1-404:24 - [c16]Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang:
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care. CHI 2026: 722:1-722:17 - [c15]Kunlin Cai, Jinghuai Zhang, Ying Li, Zhiyuan Wang, Xun Chen, Tianshi Li, Yuan Tian:
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR). NDSS 2026 - [i34]Tianshi Li:
Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset. CoRR abs/2601.05918 (2026) - [i33]Ibrahim Khalilov, Chaoran Chen, Ziang Xiao, Tianshi Li, Toby Jia-Jun Li, Yaxing Yao:
PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android. CoRR abs/2601.22414 (2026) - [i32]Ziwen Li, Ziang Xiao, Tianshi Li:
Disclose with Care: Designing Privacy Controls in Interview Chatbots. CoRR abs/2602.01387 (2026) - [i31]Eryue Xu, Tianshi Li:
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management. CoRR abs/2602.05016 (2026) - [i30]Chaoran Chen, Zhiping Zhang, Zeya Chen, Eryue Xu, Yinuo Yang, Ibrahim Khalilov, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li:
Comparing Human Oversight Strategies for Computer-Use Agents. CoRR abs/2604.04918 (2026) - 2025
- [j12]Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, Hong Shen:
'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices. Proc. ACM Hum. Comput. Interact. 9(2): 1-26 (2025) - [j11]Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li:
Secret Use of Large Language Model (LLM). Proc. ACM Hum. Comput. Interact. 9(2): 1-26 (2025) - [c14]Tianshi Li, Toby Jia-Jun Li, Yaxing Yao, Sauvik Das:
HAIPS '25: First ACM CCS Workshop on Human-Centered AI Privacy and Security. CCS 2025: 4900-4901 - [c13]Jijie Zhou, Eryue Xu, Yaoyao Wu, Tianshi Li:
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots. CHI 2025: 246:1-246:28 - [c12]Jackie (Junrui) Yang, Yingtian Shi, Chris Gu, Zhang Zheng, Anisha Jain, Tianshi Li, Monica S. Lam, James A. Landay:
GenieWizard: Multimodal App Feature Discovery with Large Language Models. CHI 2025: 936:1-936:17 - [c11]Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li:
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. UIST 2025: 154:1-154:23 - [i29]Chaoran Chen, Zhiping Zhang, Bingcan Guo, Shang Ma, Ibrahim Khalilov, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li:
The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections. CoRR abs/2504.11281 (2025) - [i28]Chaoran Chen, Zhiping Zhang, Ibrahim Khalilov, Bingcan Guo, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li:
Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents. CoRR abs/2504.17934 (2025) - [i27]Kunlin Cai, Jinghuai Zhang, Ying Li, Zhiyuan Wang, Xun Chen, Tianshi Li, Yuan Tian:
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR). CoRR abs/2509.06368 (2025) - [i26]Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li:
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. CoRR abs/2509.10723 (2025) - [i25]Bingcan Guo, Eryue Xu, Zhiping Zhang, Tianshi Li:
Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing. CoRR abs/2509.21712 (2025) - [i24]Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang:
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care. CoRR abs/2509.23509 (2025) - [i23]Niloofar Mireshghallah, Tianshi Li:
Position: Privacy Is Not Just Memorization! CoRR abs/2510.01645 (2025) - [i22]Zeya Chen, Jianing Wen, Ruth Schmidt, Yaxing Yao, Toby Jia-Jun Li, Tianshi Li:
PrivacyMotiv: Speculative Persona Journeys for Empathic and Motivating Privacy Reviews in UX Design. CoRR abs/2510.03559 (2025) - [i21]Jijie Zhou, Niloofar Mireshghallah, Tianshi Li:
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting. CoRR abs/2510.03662 (2025) - [i20]Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li:
Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents. CoRR abs/2510.04465 (2025) - [i19]Ibrahim Khalilov, Chaoran Chen, Ziang Xiao, Tianshi Li, Toby Jia-Jun Li, Yaxing Yao:
Beyond Permissions: Investigating Mobile Personalization with Simulated Personas. CoRR abs/2511.01336 (2025) - 2024
- [j10]Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, Jason I. Hong:
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 33:1-33:38 (2024) - [c10]Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CHI 2024: 156:1-156:26 - [c9]Jackie (Junrui) Yang, Yingtian Shi, Yuhan Zhang, Karina Li, Daniel Wan Rosli, Anisha Jain, Shuning Zhang, Tianshi Li, James A. Landay, Monica S. Lam:
ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models. CHI 2024: 483:1-483:23 - [c8]Tianshi Li, Sauvik Das, Hao-Ping (Hank) Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CHI Extended Abstracts 2024: 581:1-581:4 - [c7]Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang:
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action. NeurIPS 2024 - [c6]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium 2024 - [i18]Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CoRR abs/2402.01994 (2024) - [i17]Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, Jason I. Hong:
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels. CoRR abs/2402.03582 (2024) - [i16]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR abs/2402.14544 (2024) - [i15]Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, Hong Shen:
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices. CoRR abs/2403.19876 (2024) - [i14]Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang:
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action. CoRR abs/2409.00138 (2024) - [i13]Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li:
Secret Use of Large Language Models. CoRR abs/2409.19450 (2024) - [i12]Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li:
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. CoRR abs/2410.04917 (2024) - [i11]Jijie Zhou, Eryue Xu, Yaoyao Wu, Tianshi Li:
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for Navigating Privacy Trade-offs in LLM-Based Conversational Agent. CoRR abs/2410.11876 (2024) - [i10]Zhiping Zhang, Bingcan Guo, Tianshi Li:
Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents. CoRR abs/2411.01344 (2024) - [i9]Jiessie Tie, Bingsheng Yao, Tianshi Li, Syed Ishtiaque Ahmed, Dakuo Wang, Shurui Zhou:
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering. CoRR abs/2411.09916 (2024) - 2023
- [j9]Tianshi Li, Philip Quinn, Shumin Zhai:
C-PAK: Correcting and Completing Variable-Length Prefix-Based Abbreviated Keystrokes. ACM Trans. Comput. Hum. Interact. 30(1): 1-35 (2023) - [c5]Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang:
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. CSCW Companion 2023: 569-571 - [i8]Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang:
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. CoRR abs/2307.04280 (2023) - [i7]Zhiping Zhang, Michelle Jia, Hao-Ping Hank Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CoRR abs/2309.11653 (2023) - 2022
- [j8]Mohammad Tahaei, Tianshi Li, Kami Vaniea:
Understanding Privacy-Related Advice on Stack Overflow. Proc. Priv. Enhancing Technol. 2022(2): 114-131 (2022) - [j7]Mohammad Tahaei, Kopo M. Ramokapane, Tianshi Li, Jason I. Hong, Awais Rashid:
Charting App Developers' Journey Through Privacy Regulation Features in Ad Networks. Proc. Priv. Enhancing Technol. 2022(3): 33-56 (2022) - [j6]Tianshi Li, Julia Katherine Haines, Miguel Flores Ruiz De Eguino, Jason I. Hong, Jeffrey Nichols:
Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users. ACM Trans. Comput. Hum. Interact. 29(5): 39:1-39:33 (2022) - [c4]Yucheng Li, Deyuan Chen, Tianshi Li, Yuvraj Agarwal, Lorrie Faith Cranor, Jason I. Hong:
Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data. CHI Extended Abstracts 2022: 356:1-356:7 - [c3]Tianshi Li, Kayla Reiman, Yuvraj Agarwal, Lorrie Faith Cranor, Jason I. Hong:
Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels. CHI 2022: 588:1-588:24 - 2021
- [j5]Tianshi Li, Elijah B. Neundorfer, Yuvraj Agarwal, Jason I. Hong:
Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 112:1-112:27 (2021) - [j4]Tianshi Li, Camille Cobb, Jackie (Junrui) Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong:
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. 75: 101439 (2021) - [i6]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, Qian Wang, Shan Wang, Siqi Wang, Vida Zhang, Jessica Zhao, Yuan Jiang, Haojian Jin, Sam Kim, Evelyn Kuo, Tianshi Li, Jinping Liu, Yile Liu, Robert Zhang:
The Design of the User Interfaces for Privacy Enhancements for Android. CoRR abs/2104.12032 (2021) - 2020
- [j3]Tianshi Li, Elizabeth Louie, Laura Dabbish, 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. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-28 (2020) - [i5]Tianshi Li, Jackie Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong:
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. CoRR abs/2005.11957 (2020) - [i4]Tianshi Li, Camille Cobb, Jackie Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong:
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. CoRR abs/2012.12415 (2020)
2010 – 2019
- 2019
- [j2]Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu:
Demystifying Complex Workload-DRAM Interactions: An Experimental Study. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 60:1-60:50 (2019) - [c2]Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu:
Demystifying Complex Workload-DRAM Interactions: An Experimental Study. SIGMETRICS (Abstracts) 2019: 93 - [i3]Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu:
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study. CoRR abs/1902.07609 (2019) - 2018
- [j1]Tianshi Li, Yuvraj Agarwal, Jason I. Hong:
Coconut: An IDE Plugin for Developing Privacy-Friendly Apps. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 178:1-178:35 (2018) - [i2]Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu:
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. CoRR abs/1805.03154 (2018) - 2017
- [i1]Yixin Luo, Saugata Ghose, Tianshi Li, Sriram Govindan, Bikash Sharma, Bryan Kelly, Amirali Boroumand, Onur Mutlu:
Using ECC DRAM to Adaptively Increase Memory Capacity. CoRR abs/1706.08870 (2017) - 2016
- [c1]Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu:
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization. SIGMETRICS 2016: 323-336
Coauthor Index
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last updated on 2026-05-08 22:45 CEST by the dblp team
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