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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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