Xulong Wang - RankMe

32 papers A 1B 2C 3Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction. INDIN Long Yang, Po Yang, Xiyang Peng, Xulong Wang, Jun Qi
2025	—	`conf`	Multi-Scale Frequency-Aware Adversarial Network for Parkinson's Disease Assessment Using Wearable Sensors. BIBM Weiming Zhao, Xiyang Peng, Xulong Wang, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks. IEEE Trans. Biomed. Eng. Xiyang Peng, Yuting Zhao, Ziheng Li, Xulong Wang, Fengtao Nan, Zhong Zhao, Yun Yang, Po Yang
2025	J	`jnl`	Multi-scale Frequency-Aware Adversarial Network for Parkinson's Disease Assessment Using Wearable Sensors. CoRR Weiming Zhao, Xulong Wang, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. Inf. Syst. Frontiers Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Lida Xu
2025	J	`jnl`	SPOT: An efficient training-free task similarity quantification method for continual learning. Pattern Recognit. Lett. Xulong Wang, Yu Zhang, Tong Liu, Zhipeng Yuan, Kang Liu, Vitaveska Lanfranchi, Po Yang
2025	C	`conf`	Self-Supervised Anomaly Detection for Parkinson's Disease in Free-Living Environment. INDIN Chuxiong Huang, Xulong Wang, Xiyang Peng, Peng Yue, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. BIBM Zheyuan Xu, Xulong Wang, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024	J	`jnl`	Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang
2024	J	`jnl`	Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang
2024	—	`conf`	Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. BIBM Mingchang Xu, Jun Qi, Xulong Wang, Menghui Zhou, Yun Yang, Po Yang
2024	J	`jnl`	Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris
2024	J	`jnl`	Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. Sensors Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang
2023	—	`conf`	A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. MSN Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang
2023	J	`jnl`	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. Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang
2023	B	`conf`	Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. ICPADS Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang
2023	—	`conf`	Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. ISIE Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang
2023	—	`conf`	Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang
2023	—	`conf`	Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang
2023	B	`conf`	Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. ICPADS Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang
2023	—	`conf`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. J. Ind. Inf. Integr. Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang
2023	A	`conf`	Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM Tong Liu, Xulong Wang, He Huang, Po Yang
2022	—	`conf`	Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. BIBM Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang
2021	J	`jnl`	A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang
2021	—	`conf`	Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang
2020	J	`jnl`	DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang
2020	J	`jnl`	MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. CoRR Po Yang, Jun Qi, Xulong Wang, Yun Yang
2020	—	`conf`	Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. ISPA/BDCloud/SocialCom/SustainCom Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang
2019	C	`conf`	A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN Xulong Wang, Jun Qi, Yun Yang, Po Yang
2019	J	`jnl`	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. Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv