Xulong Wang

According to our database, Xulong Wang authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.

Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang

IEEE Trans. Knowl. Data Eng., October, 2024

Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output.

Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris

IEEE Trans. Knowl. Data Eng., September, 2024

Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation.

Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang

Sensors, February, 2024

Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge.

Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang

Knowl. Based Syst., 2024

SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization.

Yiyang Chen, Siyan Dong, Xulong Wang, Lulu Cai, Youyi Zheng, Yanchao Yang

CoRR, 2024

InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction.

Xulong Wang, Siyan Dong, Youyi Zheng, Yanchao Yang

CoRR, 2024

Optimized Deployment Strategy for Roadside Units Based on Accident Risk Assessment and Simulation Validation.

Sinan Zhang, Shaohua Wang, Shan Huang, Xiaofeng Liu, Xulong Wang, Ning Chen

IEEE Access, 2024

Analysis of the Traffic Accidents Severity in the Central Urban Area of Beijing Based on Ordinal Logistic Regression Model.

Sinan Zhang, Shaohua Wang, Shan Huang, Xulong Wang, Ning Chen

Proceedings of the 2024 4th International Conference on Artificial Intelligence, 2024

2023

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].

Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang

J. Ind. Inf. Integr., October, 2023

Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data.

Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang

J. Ind. Inf. Integr., August, 2023

Fast 3-D Magnetic Anomaly Forward Modeling Based on Integral Equation.

Xulong Wang, Jianxin Liu, Jian Li

IEEE Trans. Geosci. Remote. Sens., 2023

A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor.

Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.

Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.

Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment.

Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization.

Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data.

Tong Liu, Xulong Wang, He Huang, Po Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.

Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.

Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.

Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning.

Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Online Condition Monitoring for Bond Wire Degradation of IGBT Modules in Three-Level Neutral-Point-Clamped Converters.

Xulong Wang, Pengju Sun, Lin Sun, Quanming Luo, Xiong Du

IEEE Trans. Ind. Electron., 2021

A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods.

Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang

Mob. Networks Appl., 2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.

Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems.

Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang

IEEE Trans. Ind. Informatics, 2020

MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning.

Po Yang, Jun Qi, Xulong Wang, Yun Yang

CoRR, 2020

Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression.

Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data.

Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv

ACM Trans. Intell. Syst. Technol., 2019

A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases.

Xulong Wang, Jun Qi, Yun Yang, Po Yang

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

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.

Jin Huang, Quanhui Liu, Xulong Wang, Kaicheng Li

IEEE Trans. Ind. Electron., 2018