Azade Nazi
Azade Nazi
Research Scientist at Google Brain
Verified email at mavs.uta.edu - Homepage
Title
Cited by
Cited by
Year
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
3382013
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
462020
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
342019
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
312017
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
302012
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
292014
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
222014
Robust deployment of wireless sensor networks using gene regulatory networks
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
International Conference on Distributed Computing and Networking, 192-207, 2013
202013
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
172016
Gap: Generalizable approximate graph partitioning framework
A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini
arXiv preprint arXiv:1903.00614, 2019
142019
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
122019
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
102015
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
92020
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
82015
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
72018
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
Mobiface: A mobile application for faceted search over hidden web databases
A Nazi, A Asudeh, G Das, N Zhang, A Jaoua
2017 International Conference on Computer and Applications (ICCA), 13-17, 2017
62017
Scalable algorithms for signal reconstruction by leveraging similarity joins
A Asudeh, J Augustine, A Nazi, S Thirumuruganathan, N Zhang, G Das, ...
The VLDB Journal 29 (2), 681-707, 2020
42020
Querying hidden attributes in an online community network
A Nazi, S Thirumuruganathan, V Hristidis, N Zhang, G Das
2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems …, 2015
42015
Query hidden attributes in social networks
A Nazi, S Thirumuruganathan, V Hristidis, N Zhang, K Shaban, G Das
2014 IEEE International Conference on Data Mining Workshop, 886-891, 2014
42014
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Articles 1–20