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Xulong Wang
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2020 – today
- 2024
- [j9]Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang:
Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. Sensors 24(4): 1196 (2024) - 2023
- [j8]Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang:
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. J. Ind. Inf. Integr. 34: 100461 (2023) - [j7]Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang:
Corrigendum to 'Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data': [Journal of Industrial Informatic Integration, Vol 34, August (2023) start page-end page]. J. Ind. Inf. Integr. 35: 100508 (2023) - [j6]Xulong Wang, Jianxin Liu, Jian Li:
Fast 3-D Magnetic Anomaly Forward Modeling Based on Integral Equation. IEEE Trans. Geosci. Remote. Sens. 61: 1-8 (2023) - [c12]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM 2023: 940-943 - [c11]Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang:
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM 2023: 3265-3272 - [c10]Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang:
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM 2023: 4444-4451 - [c9]Tong Liu, Xulong Wang, He Huang, Po Yang:
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM 2023: 1587-1596 - [c8]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR 2023: 35-45 - [c7]Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang:
Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. ICPADS 2023: 900-906 - [c6]Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang:
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. ICPADS 2023: 936-943 - [c5]Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang:
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. ISIE 2023: 1-10 - [i3]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR abs/2303.17968 (2023) - [i2]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR abs/2311.03557 (2023) - 2022
- [c4]Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang:
Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. BIBM 2022: 2735-2742 - 2021
- [j5]Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang:
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. 26(6): 2341-2352 (2021) - [j4]Xulong Wang, Pengju Sun, Lin Sun, Quanming Luo, Xiong Du:
Online Condition Monitoring for Bond Wire Degradation of IGBT Modules in Three-Level Neutral-Point-Clamped Converters. IEEE Trans. Ind. Electron. 68(8): 7474-7484 (2021) - [c3]Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang:
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN 2021: 366-373 - 2020
- [j3]Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang:
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics 16(8): 5317-5326 (2020) - [c2]Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang:
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. ISPA/BDCloud/SocialCom/SustainCom 2020: 1328-1333 - [i1]Po Yang, Jun Qi, Xulong Wang, Yun Yang:
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. CoRR abs/2009.02827 (2020)
2010 – 2019
- 2019
- [j2]Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv:
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data. ACM Trans. Intell. Syst. Technol. 10(6): 65:1-65:24 (2019) - [c1]Xulong Wang, Jun Qi, Yun Yang, Po Yang:
A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN 2019: 1237-1242 - 2018
- [j1]Jin Huang, Quanhui Liu, Xulong Wang, Kaicheng Li:
A Carrier-Based Modulation Scheme to Reduce the Third Harmonic Component of Common-Mode Voltage in a Three-Phase Inverter Under High DC Voltage Utilization. IEEE Trans. Ind. Electron. 65(3): 1931-1940 (2018)
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last updated on 2024-04-15 20:46 CEST by the dblp team
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