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ORCIDZhixin Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j4]Zhixin Huang
, Jiaxiang Lin, Lizheng Lin, Jianyun Chen, Liankai Zheng, Keju Zhang:
A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction. IEEE Access 12: 171527-171539 (2024)- [j3]Junyang Chen, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Zewen Zheng, Chi-Man Pun, Jian Zhu, Zhixin Huang:
Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(3): 1412-1423 (2024) - [c12]Chenxu Han, Xuelei He, Xiaowei He, Zhixin Huang, Chuang Zhang, Yong Huang:
MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices. CSCWD 2024: 588-593 - [c11]Mengtang Li, Jie Zhu, Zhixin Huang, Chao Gou:
Imitating the Human Visual System for Scanpath Predicting. ICASSP 2024: 3745-3749 - [c10]Zhixin Huang, Yuchen Zhou, Jie Zhu, Chao Gou:
Driver Scanpath Prediction Based On Inverse Reinforcement Learning. ICASSP 2024: 8306-8310 - [c9]Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl:
Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. ICPR (27) 2024: 1-21 - [c8]Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick:
Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. IJCNN 2024: 1-9 - [c7]Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick:
Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. IJCNN 2024: 1-10 - [c6]Zhixin Huang, Yuchen Zhou, Chao Gou:
Task-Oriented Scanpath Prediction with Spatial-Temporal Information in Driving Scenarios. PRCV (10) 2024: 177-191 - [i3]Zhixin Huang, Yujiang He, Bernhard Sick:
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. CoRR abs/2401.15964 (2024) - 2023
- [j2]Qin Zhao, Guoheng Huang, Pingping Xu, Ziyang Chen, Wenyuan Li, Xiaochen Yuan, Guo Zhong, Chi-Man Pun, Zhixin Huang:
IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis. Biomed. Signal Process. Control. 84: 104787 (2023) - [c5]Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick:
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML 2023: 25-45 - 2022
- [j1]Tao Guo, Zhixin Huang, Jingyuan Cheng:
LwTool: A data processing toolkit for building a real-time pressure mapping smart textile software system. Pervasive Mob. Comput. 80: 101540 (2022) - [i2]Yujiang He, Zhixin Huang, Bernhard Sick:
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. CoRR abs/2202.06781 (2022) - [i1]Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick:
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR abs/2210.06112 (2022) - 2021
- [c4]Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi, Stephan Vogt:
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models. ACSOS-C 2021: 204-209 - [c3]Yujiang He, Zhixin Huang, Bernhard Sick:
Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. IJCNN 2021: 1-8 - [c2]Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick:
Uncertainty and Utility Sampling with Pre-Clustering. IAL@PKDD/ECML 2021: 21-34
2010 – 2019
- 2011
- [c1]Zhixin Huang, Ji-hua Guo, Lei Yang, Jian-bo Shao:
Studies on the influence of sputtering parameters on magneto-optical properties of GdTbFeCo thin films. EMEIT 2011: 506-508
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