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Puya Vahabi
Puya Vahabi
Other namesHossein Vahabi
Professor of Practice @ University California Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
A Sordoni, Y Bengio, H Vahabi, C Lioma, J Grue Simonsen, JY Nie
proceedings of the 24th ACM international on conference on information and …, 2015
6282015
Mining User Generated Content
CRC Press, 2014
262*2014
Making your interests follow you on twitter
M Pennacchiotti, F Silvestri, H Vahabi, R Venturini
Proceedings of the 21st ACM international conference on Information and …, 2012
652012
Leveraging social context for modeling topic evolution
J Kalyanam, A Mantrach, D Saez-Trumper, H Vahabi, G Lanckriet
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
642015
Efficient query recommendations in the long tail via center-piece subgraphs
F Bonchi, R Perego, F Silvestri, H Vahabi, R Venturini
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
582012
How random walks can help tourism
C Lucchese, R Perego, F Silvestri, H Vahabi, R Venturini
European Conference on Information Retrieval, 195-206, 2012
582012
Harder or different? a closer look at distribution shift in dataset reproduction
S Lu, B Nott, A Olson, A Todeschini, H Vahabi, Y Carmon, L Schmidt
ICML Workshop on Uncertainty and Robustness in Deep Learning 5, 15, 2020
512020
Orthogonal query recommendation
H Vahabi, M Ackerman, D Loker, R Baeza-Yates, A Lopez-Ortiz
Proceedings of the 7th ACM Conference on Recommender Systems, 33-40, 2013
362013
Hyperionsolarnet: solar panel detection from aerial images
P Parhar, R Sawasaki, A Todeschini, H Vahabi, N Nusaputra, F Vergara
arXiv preprint arXiv:2201.02107, 2022
302022
Recommendations for the long tail by term-query graph
F Bonchi, R Perego, F Silvestri, H Vahabi, R Venturini
Proceedings of the 20th international conference companion on World wide web …, 2011
292011
Self-supervised contrastive learning for irrigation detection in satellite imagery
C Agastya, S Ghebremusse, I Anderson, H Vahabi, A Todeschini
arXiv preprint arXiv:2108.05484, 2021
232021
Predicting session length in media streaming
T Vasiloudis, H Vahabi, R Kravitz, V Rashkov
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
182017
Difrec: A social-diffusion-aware recommender system
H Vahabi, I Koutsopoulos, F Gullo, M Halkidi
Proceedings of the 24th ACM International on Conference on Information and …, 2015
122015
Inverse design of photonic surfaces via high throughput femtosecond laser processing and tandem neural networks
M Park, L Grbčić, P Motameni, S Song, A Singh, D Malagrino, M Elzouka, ...
Advanced Science 11 (26), 2401951, 2024
82024
Predicting audio advertisement quality
S Ebrahimi, H Vahabi, M Prockup, O Nieto
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
72018
Forecasting groundwater levels using machine learning methods: The case of California’s Central Valley
G May-Lagunes, V Chau, E Ellestad, L Greengard, P D'Odorico, P Vahabi, ...
Journal of Hydrology X 21, 100161, 2023
52023
Method and/or system for recommender system
H Vahabi, F Gullo
US Patent 10,796,239, 2020
52020
Enhancing news summarization with elearnfit through efficient in-context learning and efficient fine-tuning
C Guan, A Chin, P Vahabi
arXiv preprint arXiv:2405.02710, 2024
42024
Recommender Systems.
C Lucchese, CI Muntean, R Perego, F Silvestri, H Vahabi, R Venturini
Mining User Generated Content, 287-317, 2014
42014
Interactive and context-aware tag spell check and correction
F Bonchi, O Frieder, FM Nardini, F Silvestri, H Vahabi
Proceedings of the 21st ACM international conference on Information and …, 2012
42012
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Articles 1–20