Yu Zhang - RankMe

26 papers A* 1A 1C 5Journal 9Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Predefined-Time Prescribed Performance Control With Application to a Quadrotor UAV. IEEE Trans. Aerosp. Electron. Syst. Kang Liu, Lin Jiao, Yu Zhang, Pengyuan Zhao
2025	C	`conf`	DA-Mamba: A Data Augmentation-Enhanced State Space Model for Fertiliser N2O Prediction in Agricultural IoT Applications. INDIN Gaoshan Bi, Tong Liu, Yu Zhang, Qing Xue, Yang Li, Po Yang
2025	J	`jnl`	Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England. CoRR Zhipeng Yuan, Yu Zhang, Gaoshan Bi, Po Yang
2025	J	`jnl`	KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction. CoRR Yu Zhang, Gaoshan Bi, Simon Jeffery, Max Davis, Yang Li, Qing Xue, Po Yang
2025	C	`conf`	RH-GNN: Regional Heterogeneity Enabled GNN for Agricultural Fertilization Prediction. INDIN Jiaqi Qian, Yu Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Po Yang
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	—	`conf`	TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management. ICIT Yu Zhang, Gaoshan Bi, Simon Jeffery, Max Davis, Yang Li, Qing Xue, Po Yang
2025	J	`jnl`	Velocity-Free Adaptive Neural-Fuzzy Predefined-Time Attitude Control for Spacecraft. IEEE Trans. Aerosp. Electron. Syst. Kang Liu, Yu Wang, Yu Li, Yu Zhang, Chih-Yung Wen
2024	—	`conf`	Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. BIBM Xuanhan Fan, Menghui Zhou, Yu Zhang, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Learning Interpretable Continuous Representation for Alzheimer's Disease Classification. BIBM Menghui Zhou, Mingxia Wang, Yu Zhang, Zhipeng Yuan, Vitaveska Lanfranchi, Po Yang
2024	C	`conf`	ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. INDIN Gaoshan Bi, Yu Zhang, Qing Xue, Yang Li, Zhipeng Yuan, Kang Liu, Tong Liu, 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	J	`jnl`	Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. Menghui Zhou, Yu Zhang, Tong Liu, 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	A*	`conf`	Robust Temporal Smoothness in Multi-Task Learning. AAAI Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, 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
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
2022	A	`conf`	Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2022	C	`conf`	Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. IECON Yu Zhang, Tong Liu, Yang Li, Ruijing Wang, He Huang, Po Yang
2022	—	`conf`	Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, 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
2021	C	`conf`	Tensor Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI data with Spatio-temporal Similarity Measurement. INDIN Yu Zhang, Po Yang, Vitaveska Lanfranchi
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