Xulong Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Weakly Supervised

Cross Sectional

Disease Progression

Top Venues

Publications

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) (2024)
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) (2024)
Xulong Wang, Siyan Dong, Youyi Zheng, Yanchao Yang
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction. CoRR (2024)
Yiyang Chen, Siyan Dong, Xulong Wang, Lulu Cai, Youyi Zheng, Yanchao Yang
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization. CoRR (2024)
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 (2024)
Xulong Wang, Jianxin Liu, Jian Li
Fast 3-D Magnetic Anomaly Forward Modeling Based on Integral Equation. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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)
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)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR (2023)
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)
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)
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)
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 (2023)
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)
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)
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 (2023)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR (2023)
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 (2023)
Tong Liu, Xulong Wang, He Huang, Po Yang
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM (2023)
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)
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) (2021)
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)
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) (2021)
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)
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 (2020)
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) (2020)
Xulong Wang, Jun Qi, Yun Yang, Po Yang
A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN (2019)
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) (2019)
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) (2018)