Yueyang Wang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2026
J. Comput. Phys., 2026
Dynamic graph structure correction with nonadjacent correlations for multivariate time series forecasting.
Expert Syst. Appl., 2026
2025
Modeling Pedestrian Crossing Behavior: A Reinforcement Learning Approach With Sensory Motor Constraints.
IEEE Trans. Intell. Transp. Syst., October, 2025
Realistic pedestrian-driver interaction modelling using multi-agent RL with human perceptual-motor constraints.
CoRR, October, 2025
Interacting With Yielding Vehicles: A Perceptually Plausible Model for Pedestrian Road Crossing Decisions.
IEEE Trans. Intell. Transp. Syst., July, 2025
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy.
CoRR, June, 2025
Adaptive Fuzzy Fixed-Time Control for Stochastic Nonstrict Nonlinear Systems With Unknown Backlash-Like Hysteresis.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025
From a multi-period perspective: A periodic dynamics forecasting network for multivariate time series forecasting.
Pattern Recognit., 2025
Parallel multi-scale dynamic graph neural network for multivariate time series forecasting.
Pattern Recognit., 2025
Exploring dual-view graph structures: Contrastive learning with graph and hypergraph for multivariate time series classification.
Neural Networks, 2025
Graph neural network for fraud detection via context encoding and adaptive aggregation.
Expert Syst. Appl., 2025
Fixed-time trajectory tracking for multi-fault nonlinear systems: A passive fault-tolerant control scheme.
Commun. Nonlinear Sci. Numer. Simul., 2025
LigDockTailor: Ligand-specific docking tool matching using multidimensional descriptors.
Comput. Biol. Chem., 2025
Genetic regulation of lncRNA expression in whole human brain and their contribution to CNS disorders.
Briefings Bioinform., 2025
2024
SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification.
Int. J. Pattern Recognit. Artif. Intell., December, 2024
Dynamic Surface-Based Adaptive Fuzzy Fixed-Time Fault-Tolerant Control for Nonstrict Feedback Nonlinear Systems With Non-affine Faults.
Int. J. Fuzzy Syst., October, 2024
Assessing the Efficacy of Pixel-Level Fusion Techniques for Ultra-High-Resolution Imagery: A Case Study of BJ-3A.
Sensors, March, 2024
Proc. ACM Program. Lang., 2024
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
2023
A Comparative Study of the Typing Performance of Two Mid-Air Text Input Methods in Virtual Environments.
Sensors, August, 2023
Adaptive fuzzy fixed-time dynamic surface control for stochastic nonstrict nonlinear systems with unknown dead-zones.
J. Frankl. Inst., 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Modeling human road crossing decisions as reward maximization with visual perception limitations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 9th International Conference on Control, 2023
2022
Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin.
Remote. Sens., 2022
MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting.
Pattern Recognit. Lett., 2022
Neural Networks, 2022
Adaptive fuzzy fixed time control for pure-feedback stochastic nonlinear systems with full state constraints.
J. Frankl. Inst., 2022
Connecting latent relationships over heterogeneous attributed network for recommendation.
Appl. Intell., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures.
Sensors, 2021
J. Inf. Secur. Appl., 2021
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.
Neurocomputing, 2021
Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation.
CoRR, 2021
Policy Network Assisted Monte Carlo Tree Search for Intelligent Service Function Chain Deployment.
Proceedings of the 20th IEEE International Conference on Trust, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Learning embeddings of a heterogeneous behavior network for potential behavior prediction.
Frontiers Inf. Technol. Electron. Eng., 2020
CoRR, 2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.
CoRR, 2020
2019
NA-Caching: An Adaptive Content Management Approach Based on Deep Reinforcement Learning.
IEEE Access, 2019
Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
2017
Flickr group recommendation with auxiliary information in heterogeneous information networks.
Multim. Syst., 2017
2016
Establishment of Traceable Management Information Platform for Quality Safety of Panax Ginseng.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016
2015
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015
2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013