Fengqing Zhu

Assistant Professor

Purdue University

United States

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About

Fengqing Zhu is an Assistant Professor at Purdue University, USA. His research focuses on improving dietary quality and assessment techniques, particularly for individuals living with obesity. Recent articles highlight his work in technology-assisted dietary assessments, food classification systems, and advancements in image compression methods.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (5)

Edward Delp

Professor of Biomedical Engineering

Purdue University

UNITED STATES

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Heather A. Eicher-Miller

UNITED STATES

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Yue Qin

Purdue University

UNITED STATES

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Megan E. Rollo

AUSTRALIA

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Deborah A Kerr

Professor of Nutrition and Dietetics and Research Academic

Curtin University

AUSTRALIA

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Fengqing Zhu

Research Interests

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About

Articles (13)

Improving Diet Quality of People Living With Obesity by Building Effective Dietetic Service Delivery Using Technology in a Primary Health Care Setting: Protocol for a Randomized Controlled Trial

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression

Diet Quality and Eating Frequency Were Associated with Insulin-Taking Status among Adults

Integration of USDA Food Classification System and Food Composition Database for Image-Based Dietary Assessment among Individuals Using Insulin

Long-Tailed Food Classification

Unified Architecture Adaptation for Compressed Domain Semantic Inference

Temporal patterns of eating by mode of data collection from the baseline dietary intakes of participants in the Healthy Diet and Lifestyle Study

Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study

Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies

Saliency-Aware Class-Agnostic Food Image Segmentation

A progressive CNN in-loop filtering approach for inter frame coding

Food Security and Diet Quality in Native Hawaiian, Pacific Islander, and Filipino Infants 3 to 12 Months of Age.

Incremental Learning in Online Scenario

Collaborators (5)

Edward Delp

Heather A. Eicher-Miller

Yue Qin

Megan E. Rollo

Deborah A Kerr

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