Ziyi Huang

Orcid: 0009-0006-9899-0322

According to our database1, Ziyi Huang authored at least 33 papers between 2019 and 2024.

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Bibliography

2024
Hyperspectral Estimation of Chlorophyll Content in Wheat under CO2 Stress Based on Fractional Order Differentiation and Continuous Wavelet Transforms.
Remote. Sens., September, 2024

Crack Detection Method for Wind Turbine Tower Bolts Using Ultrasonic Spiral Phased Array.
Sensors, August, 2024

An urban-scale spatiotemporal optimization of rooftop photovoltaic charging of electric vehicles.
Urban Inform., 2024

A Two-Stage Proactive Dialogue Generator for Efficient Clinical Information Collection Using Large Language Model.
CoRR, 2024

Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker.
CoRR, 2024

Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits.
CoRR, 2024

Utilizing profile hidden Markov model databases for discovering viruses from metagenomic data: a comprehensive review.
Briefings Bioinform., 2024

Prob-Hashcat: Accelerating Probabilistic Password Guessing with Hashcat by Hundreds of Times.
Proceedings of the 27th International Symposium on Research in Attacks, 2024

Focal Stack Alignment Enhancement Network For Light Field Salient Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Ring-in-Ring Beam Shaping Based on a 3D Nanoprinted Microlens on Fiber Tip.
Proceedings of the 14th International Symposium on Communication Systems, 2024

2023
Experimental study on low-altitude UAV-to-ground propagation characteristics in campus environment.
Comput. Networks, December, 2023

Characteristics, causes, and consequences of technical debt in the automation domain.
J. Syst. Softw., October, 2023

Cardiac Adipose Tissue Segmentation via Image-Level Annotations.
IEEE J. Biomed. Health Informatics, June, 2023

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Managing Technical Debt in Automation: Best Practices and Cross-Life-Cycle Strategies.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

A Novel Convolutional Neural Network with Large Kernel for Classification of Crash Test Photos.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing.
Signal Image Video Process., 2022

A Novel Epidemic Model Base on Pulse Charging in Wireless Rechargeable Sensor Networks.
Entropy, 2022

Evaluating Aleatoric Uncertainty via Conditional Generative Models.
CoRR, 2022

Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems.
CoRR, 2022

Unraveling the Mystery of Artifacts in Machine Generated Text.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Improving Deep Learning Based Password Guessing Models Using Pre-processing.
Proceedings of the Information and Communications Security - 24th International Conference, 2022

Anti-breast Cancer Drug Design and ADMET Prediction of ERa Antagonists Based on QSAR Study.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks.
Entropy, 2021

Quantifying Epistemic Uncertainty in Deep Learning.
CoRR, 2021

Classification of Ship Navigation Behavior in Inland Crossing Channels.
Proceedings of the 2021 International Conference on Security, 2021

Co-Seg: An Image Segmentation Framework Against Label Corruption.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning Prediction Intervals for Regression: Generalization and Calibration.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Dynamic Bandwidth Allocation (DBA) Algorithm for Passive Optical Networks.
Proceedings of the 30th International Telecommunication Networks and Applications Conference, 2020

Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Movie-Watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019


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