| Understanding latency variation in modern DRAM chips: Experimental characterization, analysis, and optimization KK Chang, A Kashyap, H Hassan, S Ghose, K Hsieh, D Lee, T Li, ... Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016 | 233 | 2016 |
| 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 T Li, C Cobb, J Yang, S Baviskar, Y Agarwal, B Li, L Bauer, JI Hong 🏆 Pervasive and Mobile Computing – Best Research Papers 2019-2021 Award, 101439, 2021 | 101 | 2021 |
| Demystifying complex workload-DRAM interactions: An experimental study S Ghose, T Li, N Hajinazar, DS Cali, O Mutlu Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (3 …, 2019 | 97 | 2019 |
| Coconut: An IDE plugin for developing privacy-friendly apps T Li, Y Agarwal, JI Hong Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 72 | 2018 |
| Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps T Li, JJ Yang, C Faklaris, J King, Y Agarwal, L Dabbish, JI Hong arXiv preprint arXiv:2005.11957, 2020 | 71* | 2020 |
| How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit T Li, E Louie, L Dabbish, JI Hong Proceedings of the ACM on Human-Computer Interaction 4 (CSCW3), 1-28, 2021 | 67 | 2021 |
| Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels T Li, K Reiman, Y Agarwal, LF Cranor 🎖️Conference on Human Factors in Computing Systems (CHI) – Honorable Mention …, 2022 | 66 | 2022 |
| Understanding Privacy-Related Advice on Stack Overflow. M Tahaei, T Li, K Vaniea Proc. Priv. Enhancing Technol. 2022 (2), 114-131, 2022 | 37 | 2022 |
| Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data Y Li, D Chen, T Li, Y Agarwal, LF Cranor, JI Hong CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-7, 2022 | 32 | 2022 |
| Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices T Li, EB Neundorfer, Y Agarwal, JI Hong Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 26 | 2021 |
| Charting App Developers’ Journey Through Privacy Regulation Features in Ad Networks M Tahaei, KM Ramokapane, T Li, JI Hong, A Rashid Proceedings on Privacy Enhancing Technologies 1, 24, 2022 | 25 | 2022 |
| Shaping the Emerging Norms of Using Large Language Models in Social Computing Research H Shen, T Li, TJJ Li, JS Park, D Yang Companion Publication of the 2023 Conference on Computer Supported …, 2023 | 21 | 2023 |
| “It's a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents Z Zhang, M Jia, HP Lee, B Yao, S Das, A Lerner, D Wang, T Li Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-26, 2024 | 15* | 2024 |
| Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users T Li, JK Haines, MFR De Eguino, JI Hong, J Nichols ACM Transactions on Computer-Human Interaction 29 (5), 1-33, 2023 | 13 | 2023 |
| Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study S Ghose, T Li, N Hajinazar, DS Cali, O Mutlu arXiv preprint arXiv:1902.07609, 2019 | 11 | 2019 |
| Using ECC DRAM to adaptively increase memory capacity Y Luo, S Ghose, T Li, S Govindan, B Sharma, B Kelly, A Boroumand, ... arXiv preprint arXiv:1706.08870, 2017 | 11 | 2017 |
| {A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation S Pan, Z Tao, T Hoang, D Zhang, T Li, Z Xing, S Xu, M Staples, ... arXiv preprint arXiv:2402.14544, 2024 | 7* | 2024 |
| C-PAK: Correcting and Completing Variable-length Prefix-based Abbreviated Keystrokes T Li, P Quinn, S Zhai ACM Transactions on Computer-Human Interaction 30 (1), 1-35, 2023 | 7 | 2023 |
| Human-Centered Privacy Research in the Age of Large Language Models T Li, S Das, HP Lee, D Wang, B Yao, Z Zhang Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | 5 | 2024 |
| ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models J Yang, Y Shi, Y Zhang, K Li, DW Rosli, A Jain, S Zhang, T Li, JA Landay, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-23, 2024 | 3* | 2024 |
Jason HongCarnegie Mellon UniversityVerified email at cs.cmu.edu
