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Timothy Dai
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2020 – today
- 2024
- [c3]Timothy Dai, Austin Peters, Jonah B. Gelbach, David Freeman Engstrom, Daniel Kang:
tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models. DEEM@SIGMOD 2024: 12-22 - [c2]Tengjun Jin, Akash Mittal, Chenghao Mo, Jiahao Fang, Chengsong Zhang, Timothy Dai, Daniel Kang:
AIDB: a Sparsely Materialized Database for Queries using Machine Learning. DEEM@SIGMOD 2024: 23-28 - [i2]Timothy Dai, Kate Maher, Zach Perzan:
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge. CoRR abs/2407.20902 (2024) - 2023
- [i1]Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang:
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. CoRR abs/2301.01842 (2023) - 2022
- [c1]Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang:
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. IEEE Big Data 2022: 1632-1640
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last updated on 2024-10-07 22:23 CEST by the dblp team
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