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Ke Wang

Ke Wang

University of Virginia

H-index: 19

North America-United States

About Ke Wang

Ke Wang, With an exceptional h-index of 19 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of AI for healthcare, Time series analysis, Large-scale machine learning, • Heuristic/approximate algorithm for large-scale optim.

His recent articles reflect a diverse array of research interests and contributions to the field:

Method and System for Generating a User Tunable Representation of Glucose Homeostasis in Type 1 Diabetes Based on Automated Receipt of Therapy Profile Data

Methods, circuits, and articles of manufacture for frequent sub-tree mining using non-deterministic finite state machines

System, method and computer readable medium for compressing continuous glucose monitor data

System for placement optimization of chip design for transient noise control and related methods thereof

Ke Wang Information

University

Position

___

Citations(all)

1015

Citations(since 2020)

450

Cited By

801

hIndex(all)

19

hIndex(since 2020)

11

i10Index(all)

25

i10Index(since 2020)

14

Email

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University Profile Page

University of Virginia

Google Scholar

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Ke Wang Skills & Research Interests

AI for healthcare

Time series analysis

Large-scale machine learning

• Heuristic/approximate algorithm for large-scale optim

Top articles of Ke Wang

Title

Journal

Author(s)

Publication Date

Method and System for Generating a User Tunable Representation of Glucose Homeostasis in Type 1 Diabetes Based on Automated Receipt of Therapy Profile Data

2023/11/2

Methods, circuits, and articles of manufacture for frequent sub-tree mining using non-deterministic finite state machines

2022/4/26

System, method and computer readable medium for compressing continuous glucose monitor data

2022/12/8

System for placement optimization of chip design for transient noise control and related methods thereof

2022/9/6

See List of Professors in Ke Wang University(University of Virginia)