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.

>_

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

>_

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
Journal Article ⏐ Journal of Food Protection 2024Journal Article ⏐ Journal of Food Protection 2024
Publication page for Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy
Detection of Escherichia Coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy
Wisuthiphaet, Nicharee,Huanle Zhang,Xin Liu,and Nitin Nitin
DOI: 10.1016/j.jfp.2024.100396
Publication page for Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy
Journal Article ⏐ IEEE Internet of Things Journal 2023Journal Article ⏐ IEEE Internet Things J. 2023
Publication page for Federated Learning Hyperparameter Tuning From a System Perspective
Federated Learning Hyperparameter Tuning From a System Perspective
Zhang, Huanle,Lei Fu,Mi Zhang,Pengfei Hu,Xiuzhen Cheng,Prasant Mohapatra,and Xin Liu
DOI: 10.1109/jiot.2023.3253813
Publication page for Federated Learning Hyperparameter Tuning From a System Perspective
Journal Article ⏐ IEEE Internet of Things Journal 2023Journal Article ⏐ IEEE Internet Things J. 2023
Publication page for Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Fu, Lei,Huanle Zhang,Ge Gao,Mi Zhang,and Xin Liu
DOI: 10.1109/jiot.2023.3299573
Publication page for Client Selection in Federated Learning: Principles, Challenges, and Opportunities

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

Detection of Escherichia Coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy

Federated Learning Hyperparameter Tuning From a System Perspective

Client Selection in Federated Learning: Principles, Challenges, and Opportunities