Wenhui Huang

Orcid: 0000-0001-8123-2441

According to our database1, Wenhui Huang authored at least 40 papers between 2008 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation.
IEEE J. Biomed. Health Informatics, March, 2024

Arbitrary scale super-resolution diffusion model for brain MRI images.
Comput. Biol. Medicine, March, 2024

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation.
IEEE Trans. Intell. Transp. Syst., February, 2024

Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition.
Pattern Recognit., January, 2024

Hybrid-Prediction Integrated Planning for Autonomous Driving.
CoRR, 2024

2023
Image Matting With Deep Gaussian Process.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Enhancing gland segmentation in colon histology images using an instance-aware diffusion model.
Comput. Biol. Medicine, November, 2023

Glance and Focus Networks for Dynamic Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Dual-Modal Information Bottleneck Network for Seizure Detection.
Int. J. Neural Syst., January, 2023

A Peak Current Reducing Method for Input-Independent and Output-Series Modular Converters With LC-Branch-Based Power Balancing Unit.
IEEE Trans. Ind. Electron., 2023

Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation.
Medical Image Anal., 2023

Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Diffusion Model-Based Joint Dual-Task Network for Low-Quality Retinal Image Enhancement and Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Joint Optic Disc and Cup Segmentation with Parallel Cooperative Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Prostate MRI Super-Resolution using Discrete Residual Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration.
CoRR, 2022

Dynamic Model Learning for Robotic Manipulators using BiLSTM Networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Potential Hazard-Aware Adaptive Shared Control for Human-Robot Cooperative Driving in Unstructured Environment.
Proceedings of the 17th International Conference on Control, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Application of Deep Learning Algorithms in Determination of Trace Rare Earth Elements of Cerium Group in Rocks and Minerals.
Wirel. Commun. Mob. Comput., 2021

Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving.
CoRR, 2021

Depth-Aware Object Tracking With a Conditional Variational Autoencoder.
IEEE Access, 2021

Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking.
Appl. Intell., 2020

2019
Joint Fine-Grained Components Continuously Enhance Chinese Word Embeddings.
IEEE Access, 2019

Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Correlation-Filter Based Scale-Adaptive Visual Tracking With Hybrid-Scheme Sample Learning.
IEEE Access, 2018

2017
Self-paced model learning for robust visual tracking.
J. Electronic Imaging, 2017

Correlation filter-based self-paced object tracking.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Compressive sensing with Weighted Local Classifiers for robot Visual tracking.
Int. J. Robotics Autom., 2016

2015
Visual tracking based on compressive sensing and particle filter.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2011
Performance evaluation of a prototype pneumatic driver for MR elastography by MR elastography.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2009
Fractal characterization of seepage-pores of coals from China: An investigation on permeability of coals.
Comput. Geosci., 2009

Identifying disease associations via genome-wide association studies.
BMC Bioinform., 2009

Evaluation of the Coalbed Methane Potential by a GIS-Based Fuzzy AHP Model.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
A Framework to Understand the Mechanism of Toxicity.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008


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