Hiren Patel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | RTAS | ParRP: Enabling Space Isolation in Caches with Shared Data. | Xinzhe Wang, Rodolfo Pellizzoni, Hiren Patel |
| 2024 | MICCAI | From Diagnostic CT to DTI Tractography Labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage. | Olivia N. Murray, Hamied A. Haroon, Paul Ryu, Hiren Patel, Geroge Harston, Marieke Wermer, Wilmar Jolink, Daniel Hanley, Catharina Klijn, Ulrike Hammerbeck, Adrian Parry-Jones, Timothy Cootes |
| 2023 | SIGMOD | Towards Building Autonomous Data Services on Azure. | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jess Camacho-Rodrguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan |
| 2022 | ICRA | Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning. | Fabian Domberg, Carlos Castelar Wembers, Hiren Patel, Georg Schildbach |
| 2022 | SIGMOD | Deploying a Steered Query Optimizer in Production at Microsoft. | Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal |
| 2021 | CIDR | Magpie: Python at Speed and Scale using Cloud Backends. | Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mller, Wentao Wu, Hiren Patel |
| 2021 | EDBT | Production Experiences from Computation Reuse at Microsoft. | Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes |
| 2021 | ICDE | Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. | Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | SIGMOD | Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. | Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le |
| 2019 | CLOUD | Peregrine: Workload Optimization for Cloud Query Engines. | Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan |
| 2019 | CLOUD | Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. | Hiren Patel, Alekh Jindal, Clemens A. Szyperski |
| 2018 | HAI | Exploring the Potential of NAO Robot as an Interviewer. | Muneeb Imtiaz Ahmad, Omar Mubin, Hiren Patel |
| 2018 | SIGMOD | Computation Reuse in Analytics Job Service at Microsoft. | Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao |