Real-Time Image Recognition Using Collaborative IoT Devices. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (ReQuEST@ASPLOS, 2018)

Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (CoRR, 2018)

Distributed Perception by Collaborative Robots. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (IEEE Robotics Autom. Lett., 2018)

Video analytics from edge to server: work-in-progress. - Jiashen Cao; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (CODES+ISSS, 2019)

Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (DAC, 2019)

Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. - Younmin Bae; Ramyad Hadidi; Bahar Asgari; Jiashen Cao; Hyesoon Kim (FPL, 2019)

Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. - Ramyad Hadidi; Jiashen Cao; Yilun Xie; Bahar Asgari; Tushar Krishna; Hyesoon Kim (IISWC, 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 (PEARC, 2019)

Collaborative Execution of Deep Neural Networks on Internet of Things Devices. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (CoRR, 2019)

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)

Reducing Inference Latency with Concurrent Architectures for Image Recognition. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (CoRR, 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)

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 (HPCA, 2021)

THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. - Jiashen Cao; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (CoRR, 2021)

Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. - Ramyad Hadidi; Jiashen Cao; Hyesoon Kim (CoRR, 2021)

Securing GPU via region-based bounds checking. - Jaewon Lee; Yonghae Kim; Jiashen Cao; Euna Kim; Jaekyu Lee; Hyesoon Kim (ISCA, 2022)

FiGO: Fine-Grained Query Optimization in Video Analytics. - Jiashen Cao; Karan Sarkar; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (SIGMOD Conference, 2022)

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 002; Ishwarya Sivakumar; Aryan Rajoria; et al. (DEEM@SIGMOD, 2023)

Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. - Ramyad Hadidi; Jiashen Cao; Bahar Asgari; Hyesoon Kim (EDGE, 2023)

Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (EDGE, 2023)

EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution. - Abhilash Dharmavarapu; Stefano Petrangeli; Jiashen Cao; Hyesoon Kim (ISM, 2023)

Revisiting Query Performance in GPU Database Systems. - Jiashen Cao; Rathijit Sen; Matteo Interlandi; Joy Arulraj; Hyesoon Kim (CoRR, 2023)

Interactive Demonstration of EVA. - Gaurav Tarlok Kakkar; Aryan Rajoria; Myna Prasanna Kalluraya; Ashmita Raju; Jiashen Cao; Kexin Rong 001; Joy Arulraj (Proc. VLDB Endow., 2023)

GPU Database Systems Characterization and Optimization. - Jiashen Cao; Rathijit Sen; Matteo Interlandi; Joy Arulraj; Hyesoon Kim (Proc. VLDB Endow., 2023)

Hydro: Adaptive Query Processing of ML Queries. - Gaurav Tarlok Kakkar; Jiashen Cao; Aubhro Sengupta; Joy Arulraj; Hyesoon Kim (CoRR, 2024)

Buffer Management for Out-of-GPU LLM Execution. - Jiashen Cao; Joy Arulraj; Hyesoon Kim (DEEM@SIGMOD, 2025)

Contention-Aware GPU Thread Block Scheduler for Efficient GPU-SSD. - Xueyang Liu; Seonjin Na; Euijun Chung; Jiashen Cao; Jing Yang; Hyesoon Kim (IEEE Comput. Archit. Lett., 2025)

QURE: AI-Assisted and Automatically Verified UDF Inlining. - Tarique Siddiqui; Arnd Christian König; Jiashen Cao; Cong Yan; Shuvendu K. Lahiri (Proc. ACM Manag. Data, 2025)

Aero: Adaptive Query Processing of ML Queries. - Gaurav Tarlok Kakkar; Jiashen Cao; Aubhro Sengupta; Joy Arulraj; Hyesoon Kim (Proc. ACM Manag. Data, 2025)