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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
[j13]Sinan Zhang
, Shaohua Wang, Shan Huang, Xiaofeng Liu, Xulong Wang, Ning Chen:
Optimized Deployment Strategy for Roadside Units Based on Accident Risk Assessment and Simulation Validation. IEEE Access 12: 83330-83339 (2024)- [j12]Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang:
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. 301: 112187 (2024) - [j11]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) - [j10]Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris:
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. 36(9): 4981-4995 (2024) - [j9]Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang:
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. 36(10): 5206-5220 (2024) - [c14]Sinan Zhang, Shaohua Wang, Shan Huang, Xulong Wang, Ning Chen:
Analysis of the Traffic Accidents Severity in the Central Urban Area of Beijing Based on Ordinal Logistic Regression Model. CAIBDA 2024: 1007-1012 - [i5]Xulong Wang, Siyan Dong, Youyi Zheng, Yanchao Yang:
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction. CoRR abs/2407.12661 (2024) - [i4]Yiyang Chen, Siyan Dong, Xulong Wang, Lulu Cai, Youyi Zheng, Yanchao Yang:
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization. CoRR abs/2407.12667 (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) - [c13]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 - [c12]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 - [c11]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 - [c10]Tong Liu, Xulong Wang, He Huang, Po Yang:
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM 2023: 1587-1596 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang:
A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. MSN 2023: 813-818 - [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)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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