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Jiashen Cao
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2020 – today
- 2024
- [i8]Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim:
Hydro: Adaptive Query Processing of ML Queries. CoRR abs/2403.14902 (2024) - 2023
- [j4]Gaurav Tarlok Kakkar, Aryan Rajoria, Myna Prasanna Kalluraya, Ashmita Raju, Jiashen Cao, Kexin Rong, Joy Arulraj:
Interactive Demonstration of EVA. Proc. VLDB Endow. 16(12): 4082-4085 (2023) - [j3]Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17(3): 441-454 (2023) - [c13]Gaurav Tarlok Kakkar
, Jiashen Cao
, Pramod Chunduri
, Zhuangdi Xu
, Suryatej Reddy Vyalla
, Prashanth Dintyala
, Anirudh Prabakaran
, Jaeho Bang
, Aubhro Sengupta
, Kaushik Ravichandran
, Ishwarya Sivakumar
, Aryan Rajoria
, Ashmita Raju
, Tushar Aggarwal
, Abdullah Shah
, Sanjana Garg
, Shashank Suman
, Myna Prasanna Kalluraya
, Subrata Mitra
, Ali Payani
, Yao Lu
, Umakishore Ramachandran
, Joy Arulraj
:
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 2023: 8:1-8:5 - [c12]Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim:
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE 2023: 126-132 - [c11]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE 2023: 245-254 - [c10]Abhilash Dharmavarapu, Stefano Petrangeli, Jiashen Cao, Hyesoon Kim:
EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution. ISM 2023: 69-78 - [i7]Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
Revisiting Query Performance in GPU Database Systems. CoRR abs/2302.00734 (2023) - 2022
- [c9]Jaewon Lee
, Yonghae Kim
, Jiashen Cao
, Euna Kim
, Jaekyu Lee
, Hyesoon Kim
:
Securing GPU via region-based bounds checking. ISCA 2022: 27-41 - [c8]Jiashen Cao, Karan Sarkar, Ramyad Hadidi
, Joy Arulraj, Hyesoon Kim:
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference 2022: 559-572 - 2021
- [c7]Bahar Asgari
, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim
, Hyesoon Kim:
FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. HPCA 2021: 908-920 - [i6]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR abs/2102.08481 (2021) - [i5]Ramyad Hadidi, Jiashen Cao, Hyesoon Kim:
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. CoRR abs/2104.04447 (2021) - 2020
- [j2]Ramyad Hadidi
, Jiashen Cao
, Michael S. Ryoo, Hyesoon Kim
:
Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. 7(6): 4950-4960 (2020) - [i4]Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim:
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR abs/2003.06464 (2020) - [i3]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR abs/2011.07092 (2020)
2010 – 2019
- 2019
- [c6]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
Video analytics from edge to server: work-in-progress. CODES+ISSS 2019: 14:1-14:2 - [c5]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC 2019: 234 - [c4]Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim:
Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. FPL 2019: 421 - [c3]Ramyad Hadidi
, Jiashen Cao, Yilun Xie, Bahar Asgari
, Tushar Krishna, Hyesoon Kim:
Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. IISWC 2019: 35-48 - [c2]Matthew L. Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim:
Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices. PEARC 2019: 65:1-65:6 - [i2]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR abs/1901.02537 (2019) - 2018
- [j1]Ramyad Hadidi
, Jiashen Cao
, Matthew Woodward
, Michael S. Ryoo, Hyesoon Kim:
Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. 3(4): 3709-3716 (2018) - [c1]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS 2018: 4 - [i1]Ramyad Hadidi, Jiashen Cao, Matthew Woodward
, Michael S. Ryoo, Hyesoon Kim:
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR abs/1802.02138 (2018)
Coauthor Index
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last updated on 2024-05-08 21:48 CEST by the dblp team
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