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Tianshi Li 0001
Person information
- affiliation: 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 — 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
- Tianshi Li 0006 — Northeastern University, Boston, MA, USA
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2020 – today
- 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) - [c9]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 - [c8]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 - [c7]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 - [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 - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li:
Secret Use of Large Language Models. CoRR abs/2409.19450 (2024) - [i10]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) - [i9]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) - 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 2024-12-12 21:55 CET by the dblp team
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