Jiashen Cao

According to our database, Jiashen Cao authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hydro: Adaptive Query Processing of ML Queries.

Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim

CoRR, 2024

2023

GPU Database Systems Characterization and Optimization.

Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim

Proc. VLDB Endow., November, 2023

Interactive Demonstration of EVA.

Gaurav Tarlok Kakkar, Aryan Rajoria, Myna Prasanna Kalluraya, Ashmita Raju, Jiashen Cao, Kexin Rong, Joy Arulraj

Proc. VLDB Endow., 2023

Revisiting Query Performance in GPU Database Systems.

Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim

CoRR, 2023

EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution.

Abhilash Dharmavarapu, Stefano Petrangeli, Jiashen Cao, Hyesoon Kim

Proceedings of the IEEE International Symposium on Multimedia, 2023

Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge.

Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT.

Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

EVA: An End-to-End Exploratory Video Analytics System.

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

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

FiGO: Fine-Grained Query Optimization in Video Analytics.

Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Securing GPU via region-based bounds checking.

Jaewon Lee, Yonghae Kim, Jiashen Cao, Euna Kim, Jaekyu Lee, Hyesoon Kim

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems.

Ramyad Hadidi, Jiashen Cao, Hyesoon Kim

CoRR, 2021

THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning.

Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim

CoRR, 2021

FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction.

Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, Hyesoon Kim

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices.

Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim

IEEE Internet Things J., 2020

Reducing Inference Latency with Concurrent Architectures for Image Recognition.

Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim

CoRR, 2020

Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution.

Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim

CoRR, 2020

2019

Collaborative Execution of Deep Neural Networks on Internet of Things Devices.

Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim

CoRR, 2019

Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices.

Matthew L. Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices.

Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs.

Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing.

Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Video analytics from edge to server: work-in-progress.

Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018

Distributed Perception by Collaborative Robots.

Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim

IEEE Robotics Autom. Lett., 2018

Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices.

Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim

CoRR, 2018

Real-Time Image Recognition Using Collaborative IoT Devices.

Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim

Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018