Probabilistic Functional Neural Networks.
CoRR, March, 2025
GraphMM: Graph-Based Vehicular Map Matching by Leveraging Trajectory and Road Correlations.
IEEE Trans. Knowl. Data Eng., January, 2024
Functional Nonlinear Learning.
J. Comput. Graph. Stat., 2024
Representation learning of dynamic networks.
CoRR, 2024
pCODE: Estimating Parameters of ODE Models.
R J., February, 2023
Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-Based Dynamic Functional Connectivity: A Machine Learning Approach.
IEEE Trans. Cogn. Dev. Syst., 2022
Prediction of PM2.5 in Hefei Based on a Hybrid CNN-GRU Model.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022
Estimating time-varying directed neural networks.
Stat. Comput., 2020
R4: A Client Server Architecture Oriented Open Three Dimensional Reconstruction Layered Reference Model for Medical Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Statistical prior based low complexity recovery for compressed image sensing.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015
Distributed lighting control of locally intelligent luminaire systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012