Hong Ge

Orcid: 0000-0002-8647-8018

According to our database1, Hong Ge authored at least 32 papers between 2002 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution.
IEEE Trans. Medical Imaging, January, 2024

Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction.
Knowl. Based Syst., 2024

Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees.
J. Mach. Learn. Res., 2024

Cross-modal hashing retrieval with compatible triplet representation.
Neurocomputing, 2024

Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Image Segmentation Based on the Hybrid Bias Field Correction.
Appl. Math. Comput., September, 2023

A two-branch multimodal fake news detection model based on multimodal bilinear pooling and attention mechanism.
Frontiers Comput. Sci., 2023

Beyond Intuition, a Framework for Applying GPs to Real-World Data.
CoRR, 2023

Bayesian inference and neural estimation of acoustic wave propagation.
CoRR, 2023

Neural Characteristic Activation Value Analysis for Improved ReLU Network Feature Learning.
CoRR, 2023

An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Learning Deep Neural Networks by Iterative Linearisation.
CoRR, 2022

Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution.
CoRR, 2022

2021
Couplings for Multinomial Hamiltonian Monte Carlo.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models.
CoRR, 2020

FINET: Fine-grained Feature Interaction Network for Click-through Rate Prediction.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
On the Secrecy Rate of Spatial Modulation-Based Indoor Visible Light Communications.
IEEE J. Sel. Areas Commun., 2019

Bayesian Learning of Sum-Product Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Performance Analysis and Beamforming Design for Secure Visible Light Communications.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Secrecy Rate Analysis for Visible Light Communications Using Spatial Modulation.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Secrecy Outage Probability Analysis for Indoor Visible Light Communications with Random Terminals.
Proceedings of the Advanced Hybrid Information Processing, 2019

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

Bijectors.jl: Flexible transformations for probability distributions.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018
3-D Temperature Reconstruction of the Flame Field in a Tangentially Fired Furnace.
IEEE Trans. Instrum. Meas., 2018

Adaptive Spatial Modulation for Visible Light Communications With an Arbitrary Number of Transmitters.
IEEE Access, 2018

Turing: Composable inference for probabilistic programming.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2015
Particle Gibbs for Infinite Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Distributed Inference for Dirichlet Process Mixture Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
On measuring team stability in cooperative learning: An example of consecutive course projects on software engineering.
CoRR, 2014

2011
A Modified Artificial Immune Network for Feature Extracting.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

2008
Research on AIN Applied to Information Fusion.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2002
Additional Listing Options On eBAY : Are They Worth The Money.
Proceedings of the 10th European Conference on Information Systems, 2002


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