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ORCIDTony Liu 0004
Person information
- affiliation: Mount Holyoke College, South Hadley, MA, USA
- affiliation (PhD 2024): University of Pennsylvania, Department of Computer and Information Science, Philadelphia, PA, USA
Other persons with the same name
- Xu T. Liu
![[0000-0003-3980-9803]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-3980-9803")
(aka: Tony Liu 0001, Xu Liu 0015) — University of Washington Seattle, WA, US (and 1 more) - Tony Liu 0002 — University of Alberta, Department of Computing Science, Edmonton, AB, Canada
- Tony Liu 0003 — University of Ottawa, Department of Electrical and Computer Engineering, ON, Canada
- Tony Liu 0005 — University of Toronto, Department of Electrical and Computer Engineering, ON, Canada
- Tony Liu 0006 — Lund University, Sweden
- Tony Liu 0007 — Imperial College London, UK
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2020 – today
- 2026
[c3]Tony Liu, Bhargavi Patil, Thu Ngo, Chris J. Karr, Theresa Nguyen, Rachel Kornfield, Jonah Meyerhoff:
Framing Helper Therapy to Support User Engagement: Causal Evidence from a Public Deployment of a Mental Health Support Text Messaging Program. CHI 2026: 916:1-916:17- 2024
- [j4]Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, Brett Mensh, John W. Krakauer, Konrad P. Kording:
Computational kinematics of dance: distinguishing hip hop genres. Frontiers Robotics AI 11 (2024) - [c2]Tony Liu, Lyle H. Ungar, Konrad P. Kording, Morgan McGuire:
Measuring Causal Effects of Civil Communication without Randomization. ICWSM 2024: 958-971 - 2023
- [j3]Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording, Rahul Ladhania:
Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery. Trans. Mach. Learn. Res. 2023 (2023) - [i1]Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording:
A large language model-assisted education tool to provide feedback on open-ended responses. CoRR abs/2308.02439 (2023) - 2022
- [c1]Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording:
Data-driven exclusion criteria for instrumental variable studies. CLeaR 2022: 485-508 - 2021
- [j2]Tony Liu, Lyle H. Ungar, Konrad P. Kording:
Quantifying causality in data science with quasi-experiments. Nat. Comput. Sci. 1(1): 24-32 (2021)
2010 – 2019
- 2019
- [j1]Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle H. Ungar:
Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 145:1-145:23 (2019)
Coauthor Index
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