Post Doctoral Researcher

Huanle Zhang

Postdoctoral Researcher

Huanle is a Postdoctoral Researcher at the University of California, Davis, working on applied machine learning, mobile systems and applications, the Internet of Things, and wireless networking.

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Project Involvement

Year 1

AI Prediction of Fruit Bruising, Serum Leakage, and Spoilage During Transportation of Processing Tomatoes to Processing Facilities

#Core AI Technologies#Food Processing and Distribution

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AIFS Publications

Conference Article ⏐ Military Communications Conference 2022Conference Article ⏐ MILCOM 2022
Publication page for FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters From System Perspective
Zhang, Huanle,Mi Zhang,Xin Liu,Prasant Mohapatra,and Michael DeLucia
DOI: 10.1109/MILCOM55135.2022.10017717
Publication page for FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
Journal Article ⏐ Frontiers in Artificial Intelligence 2022Journal Article ⏐ Front. Artif. Intell. 2022
Publication page for Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
Zhang, Huanle,Nicharee Wisuthiphaet,Hemiao Cui,Nitin Nitin,Xin Liu,and Qing Zhao
DOI: 10.3389/frai.2022.863261
Publication page for Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning

Huanle Zhang

Project Involvement

AI Prediction of Fruit Bruising, Serum Leakage, and Spoilage During Transportation of Processing Tomatoes to Processing Facilities

AIFS Publications

FedTune: Automatic Tuning of Federated Learning Hyper-Parameters From System Perspective

Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning