Jiashen Cao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Video Analytics

Geographically Dispersed

Top Venues

Proc. VLDB Endow.

IEEE Robotics Autom. Lett.

Publications

Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim
Hydro: Adaptive Query Processing of ML Queries. CoRR (2024)
Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE (2023)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17 (3) (2023)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE (2023)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
Revisiting Query Performance in GPU Database Systems. CoRR (2023)
Abhilash Dharmavarapu, Stefano Petrangeli, Jiashen Cao, Hyesoon Kim
EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution. ISM (2023)
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)
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) (2023)
Jaewon Lee, Yonghae Kim, Jiashen Cao, Euna Kim, Jaekyu Lee, Hyesoon Kim
Securing GPU via region-based bounds checking. ISCA (2022)
Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference (2022)
Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. CoRR (2021)
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)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR (2021)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR (2020)
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 (2020)
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) (2020)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR (2019)
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)
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)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC (2019)
Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim
Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. FPL (2019)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
Video analytics from edge to server: work-in-progress. CODES+ISSS (2019)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. 3 (4) (2018)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS (2018)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR (2018)