no code implementations • 22 Jan 2024 • Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
It is challenging to balance the privacy and accuracy for federated query processing over multiple private data silos.
no code implementations • 9 Feb 2023 • Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Jia Zou
In addition, the relation-centric representation we proposed significantly improved netsDB's performance in handling large-scale models, while the model reuse optimization we proposed further improved netsDB's performance in handling small-scale datasets.
1 code implementation • 15 Oct 2021 • Hong Guan, Chitta Baral
Unlike previous work that simulates data from given probabilities and uses ML algorithms on them, we directly use the Quick Medical Reference (QMR) belief network, and apply Bayesian inference in the inference phase and Bayesian experimental design in the inquiry phase.
no code implementations • 5 Jan 2021 • Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy Devarakonda
Here we proposed an approach to analyze text classification methods based on the presence or absence of task-specific terms (and their synonyms) in the text.
no code implementations • 13 Apr 2020 • Hong Guan, Jianfu Li, Hua Xu, Murthy Devarakonda
Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI applications.