Suivre
Azade Nova
Azade Nova
Autres nomsAzade Nazi
Research Scientist at Google Brain
Adresse e-mail validée de google.com - Page d'accueil
Titre
Citée par
Citée par
Année
Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
The 30th International Conference on Machine Learning (ICML 2013), WHEALTH …, 2013
6122013
A graph placement methodology for fast chip design
A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ...
Nature 594 (7862), 207-212, 2021
505*2021
Chip placement with deep reinforcement learning
A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ...
arXiv preprint arXiv:2004.10746, 2020
2212020
Selectivity estimation for range predicates using lightweight models
A Dutt, C Wang, A Nazi, S Kandula, V Narasayya, S Chaudhuri
Proceedings of the VLDB Endowment 12 (9), 1044-1057, 2019
165*2019
Teaching algorithmic reasoning via in-context learning
H Zhou, A Nova, H Larochelle, A Courville, B Neyshabur, H Sedghi
arXiv preprint arXiv:2211.09066, 2022
68*2022
Gap: Generalizable approximate graph partitioning framework
A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini
arXiv preprint arXiv:1903.00614, 2019
652019
Scalable deep generative modeling for sparse graphs
H Dai, A Nazi, Y Li, B Dai, D Schuurmans
International conference on machine learning, 2302-2312, 2020
642020
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative
A Asudeh, A Nazi, N Zhang, G Das
Proceedings of the 2017 International Conference on Management of Data (SIGMOD), 2017
542017
Walk, Not Wait: Faster Sampling Over Online Social Networks
A Nazi, Z Zhou, S Thirumuruganathan, N Zhang, G Das
http://arxiv.org/abs/1410.7833, 2014
402014
An integrated cloud-based framework for mobile phone sensing
R Fakoor, M Raj, A Nazi, M Di Francesco, SK Das
Proceedings of the first edition of the MCC workshop on Mobile cloud …, 2012
352012
RRR: Rank-regret representative
A Asudeh, A Nazi, N Zhang, G Das, HV Jagadish
Proceedings of the 2019 International Conference on Management of Data, 263-280, 2019
26*2019
Deployment of robust wireless sensor networks using gene regulatory networks: An isomorphism-based approach
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
Pervasive and Mobile Computing 13, 246-257, 2014
252014
Efficient communications in wireless sensor networks based on biological robustness
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
2016 International Conference on Distributed Computing in Sensor Systems …, 2016
222016
Robust deployment of wireless sensor networks using gene regulatory networks
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
Distributed Computing and Networking: 14th International Conference, ICDCN …, 2013
222013
Efficient estimation of inclusion coefficient using hyperloglog sketches
A Nazi, B Ding, V Narasayya, S Chaudhuri
Proceedings of the VLDB Endowment 11 (10), 1097-1109, 2018
192018
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
172023
The TagAdvisor: Luring the lurkers to review web items
A Nazi, M Das, G Das
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
122015
Exploiting gene regulatory networks for robust wireless sensor networking
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
2015 IEEE Global Communications Conference (GLOBECOM), 1-7, 2015
92015
Maximizing fair content spread via edge suggestion in social networks
IP Swift, S Ebrahimi, A Nova, A Asudeh
arXiv preprint arXiv:2207.07704, 2022
82022
Leveraging similarity joins for signal reconstruction
A Asudeh, A Nazi, J Augustine, S Thirumuruganathan, N Zhang, G Das, ...
Proceedings of the VLDB Endowment 11 (10), 1276-1288, 2018
62018
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