Zhixin Huang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Learning From Selective Attention for Pedestrian Collision Risk Assessment.
IEEE Trans. Intell. Transp. Syst., June, 2026

PrivWeb: Unobtrusive and Content-aware Privacy Protection For Web Agents.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Multi-Scale Adaptively-Aware and Recalibration Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the International Joint Conference on Neural Networks, 2025

ISSD-NET: Intra-student Self-distillation with Adaptive q-vMF Loss for Enhanced Semi-supervised Medical Segmentation.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Towards Cognitive Situational Awareness in Maritime Traffic Using Federated Evidential Learning.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2025

2024
Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, March, 2024

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction.
CoRR, 2024

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction.
IEEE Access, 2024

Task-Oriented Scanpath Prediction with Spatial-Temporal Information in Driving Scenarios.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Imitating the Human Visual System for Scanpath Predicting.
Proceedings of the IEEE International Conference on Acoustics, 2024

Driver Scanpath Prediction Based On Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis.
Biomed. Signal Process. Control., July, 2023

Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

2022
LwTool: A data processing toolkit for building a real-time pressure mapping smart textile software system.
Pervasive Mob. Comput., 2022

Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning.
CoRR, 2022

Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning.
CoRR, 2022

2021
Uncertainty and Utility Sampling with Pre-Clustering.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Toward Application of Continuous Power Forecasts in a Regional Flexibility Market.
Proceedings of the International Joint Conference on Neural Networks, 2021

The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2011
Studies on the influence of sputtering parameters on magneto-optical properties of GdTbFeCo thin films.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011


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