Ted Shaowang

According to our database, Ted Shaowang authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams.

Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan

CoRR, March, 2025

2024

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis.

Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster

CoRR, 2024

Reproducibility Report for ACM SIGMOD 2024 Paper: 'PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation'.

Yangshen Deng, Ted Shaowang, Tapan Srivastava

Proceedings of the Reproducibility Reports of the 2024 International Conference on Management of Data, 2024

2023

AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments.

Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

EdgeServe: An Execution Layer for Decentralized Prediction.

Ted Shaowang, Sanjay Krishnan

CoRR, 2023

2022

Towards causal physical error discovery in video analytics systems.

Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan

Proceedings of the HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2022

Sensor fusion on the edge: initial experiments in the EdgeServe system.

Ted Shaowang, Xi Liang, Sanjay Krishnan

Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

2021

Declarative Data Serving: The Future of Machine Learning Inference on the Edge.

Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan

Proc. VLDB Endow., 2021