Wei Jiang

Orcid: 0000-0002-9821-2276

Affiliations:
  • National University of Defense Technology, College of Mechatronics Engineering and Automation, Changsha, China


According to our database1, Wei Jiang authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting.
CoRR, 2024

Epidemiology-informed Network for Robust Rumor Detection.
CoRR, 2024

Graph Condensation: A Survey.
CoRR, 2024

Challenging Low Homophily in Social Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age.
Neural Comput. Appl., March, 2023

2022
A decomposition-ensemble broad learning system for AQI forecasting.
Neural Comput. Appl., 2022

Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Fuzzy implications in lattice effect algebras.
Fuzzy Sets Syst., 2021

Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration.
Proceedings of the Neural Computing for Advanced Applications, 2021

Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting.
Proceedings of the Neural Computing for Advanced Applications, 2021

2020
Analysis of collective action propagation with multiple recurrences.
Neural Comput. Appl., 2020

Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019
The Kalman Filter Uncertainty Concept in the Possibility Domain.
IEEE Trans. Instrum. Meas., 2019

A hierarchical Lyapunov-based cascade adaptive control scheme for lower-limb exoskeleton.
Eur. J. Control, 2019

A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems.
CoRR, 2019

A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018
A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest.
IEEE Access, 2018

2017
A Possible Way to Perform Recursive Bayesian Estimate in the Possibility Domain.
IEEE Trans. Instrum. Meas., 2017

An extension of Kalman filter within the possibility theory.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2015
Combination of measurement uncertainty contributions via the generalized Dombi operator.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2011
Tongue verification with manifold learning.
Proceedings of the Seventh International Conference on Natural Computation, 2011


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