Ruihan Hu

Orcid: 0000-0001-8525-2503

According to our database1, Ruihan Hu authored at least 26 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
MDSSN: An end-to-end deep network on triangle mesh parameterization.
Knowl. Based Syst., 2024

A joint lightly perturbation and synthesizing optimization attack framework for point cloud perturbation.
Appl. Soft Comput., 2024

GCPN: A Group Connected based Method for Continual Vertical Federated Recommender Systems in Data Ecosystems.
Proceedings of the IEEE International Conference on Web Services, 2024

2023
QE-DAL: A quantum image feature extraction with dense distribution-aware learning framework for object counting and localization.
Appl. Soft Comput., May, 2023

Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation.
Frontiers Comput. Neurosci., February, 2023

2022
Inferring Flight Performance Under Different Maneuvers With Pilot's Multi-Physiological Parameters.
IEEE Trans. Intell. Transp. Syst., 2022

Nonparametric Hierarchical Hidden Semi-Markov Model for Brain Fatigue Behavior Detection of Pilots During Flight.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-expert learning for fusion of pedestrian detection bounding box.
Knowl. Based Syst., 2022

Predicting hematoma expansion in intracerebral hemorrhage from brain CT scans via K-nearest neighbors matting and deep residual network.
Biomed. Signal Process. Control., 2022

RDC-SAL: Refine distance compensating with quantum scale-aware learning for crowd counting and localization.
Appl. Intell., 2022

2021
A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors.
IEEE Trans. Cogn. Dev. Syst., 2021

Flight Situation Recognition Under Different Weather Conditions.
IEEE Trans. Aerosp. Electron. Syst., 2021

DMMAN: A two-stage audio-visual fusion framework for sound separation and event localization.
Neural Networks, 2021

Ensemble echo network with deep architecture for time-series modeling.
Neural Comput. Appl., 2021

Non-spike timing-dependent plasticity learning mechanism for memristive neural networks.
Appl. Intell., 2021

AVMSN: An Audio-Visual Two Stream Crowd Counting Framework Under Low-Quality Conditions.
IEEE Access, 2021

2020
Fully memristive spiking-neuron learning framework and its applications on pattern recognition and edge detection.
Neurocomputing, 2020

TV Series Ratings Analysis and Prediction Based on Decision Tree.
Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

2019
Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method.
IEEE Trans. Neural Networks Learn. Syst., 2019

Design of high-resolution quantization scheme with exp-Golomb code applied to compression of special images.
J. Vis. Commun. Image Represent., 2019

Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns.
Int. J. Neural Syst., 2019

Fully Memristive Neural Network Merging Image Preprocessing and Pattern Recognition.
CoRR, 2019

Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection.
CoRR, 2019

Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.
Comput. Intell. Neurosci., 2019

The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction.
Appl. Intell., 2019

Acceleration of LSTM With Structured Pruning Method on FPGA.
IEEE Access, 2019


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