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2020 – today
- 2025
[i4]Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan:
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams. CoRR abs/2503.05675 (2025)- 2024
- [i3]Shinan Liu
, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster:
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis. CoRR abs/2402.03694 (2024) - [i2]Jinjin Zhao, Ted Shaowang, Stavros Sintos, Sanjay Krishnan:
Towards Causal Physical Error Discovery in Video Analytics Systems. CoRR abs/2405.17686 (2024) - 2023
- [j2]Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster:
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 21:1-21:26 (2023) - [i1]Ted Shaowang, Sanjay Krishnan:
EdgeServe: An Execution Layer for Decentralized Prediction. CoRR abs/2303.08028 (2023) - 2022
- [c2]Ted Shaowang, Xi Liang, Sanjay Krishnan:
Sensor fusion on the edge: initial experiments in the EdgeServe system. BiDEDE@SIGMOD 2022: 8:1-8:7 - [c1]Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan:
Towards causal physical error discovery in video analytics systems. HILDA@SIGMOD 2022: 10:1-10:6 - 2021
- [j1]Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan:
Declarative Data Serving: The Future of Machine Learning Inference on the Edge. Proc. VLDB Endow. 14(11): 2555-2562 (2021)
Coauthor Index
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