Haigen Hu

Orcid: 0000-0001-5863-8283

According to our database1, Haigen Hu authored at least 52 papers between 2009 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Adaptively Customizing Activation Functions for Various Layers.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A literature survey of MR-based brain tumor segmentation with missing modalities.
Comput. Medical Imaging Graph., March, 2023

Learning Domain-Invariant Representations from Text for Domain Generalization.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

SAMDConv: Spatially Adaptive Multi-scale Dilated Convolution.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CTI-Unet: Hybrid Local Features and Global Representations Efficiently.
Proceedings of the IEEE International Conference on Image Processing, 2023

TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Fast MRI Reconstruction via Boosting Filter Diversity of Deep Cascading Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images.
Pattern Recognit., 2022

Residual-recursive autoencoder for accelerated evolution in savonius wind turbines optimization.
Neurocomputing, 2022

Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Comput. Biol. Medicine, 2022

Generative Adversarial Networks in Medical Image augmentation: A review.
Comput. Biol. Medicine, 2022

A Channel-Spatial Hybrid Attention Mechanism using Channel Weight Transfer Strategy.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Training deep neural networks for wireless sensor networks using loosely and weakly labeled images.
Neurocomputing, 2021

Adaptively Customizing Activation Functions for Various Layers.
CoRR, 2021

An adaptive learning method of anchor shape priors for biological cells detection and segmentation.
Comput. Methods Programs Biomed., 2021

A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods.
Appl. Soft Comput., 2021

Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Unsupervised Multimodal MR Images Synthesizer Using Knowledge From Higher Dimension.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Residual-Recursion Autoencoder for Shape Illustration Images.
CoRR, 2020

Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Exploring Optimal Adaptive Activation Functions for Various Tasks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
基于CNN的相衬显微图像序列的癌细胞多目标跟踪 (Multi-target Tracking of Cancer Cells under Phase Contrast Microscopic Images Basedon Convolutional Neural Network).
计算机科学, 2019

基于深层卷积残差网络集成的黑色素瘤分类方法 (Melanoma Classification Method by Integrating Deep Convolutional Residual Network).
计算机科学, 2019

A Locating Method for Reliability-Critical Gates with a Parallel-Structured Genetic Algorithm.
J. Comput. Sci. Technol., 2019

Towards the Automation of Deep Image Prior.
CoRR, 2019

Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg., 2019

Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A fast online multivariable identification method for greenhouse environment control problems.
Neurocomputing, 2018

An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion.
IEEE Access, 2018

A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
A more precise multi-modal image registration using self-similarities.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Cancer Cells Detection in Phase-Contrast Microscopy Images Based on Faster R-CNN.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2015
Isogeometric analysis for cardiac modeling and mechanical analysis.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

2014
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl., 2014

2012
Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network.
Sensors, 2012

2011
A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy.
Sensors, 2011

Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms.
Sensors, 2011

2010
Adaptive fuzzy control for trajectory tracking of Mobile Robot.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network.
Proceedings of the International Joint Conference on Neural Networks, 2010

A control optimization algorithm for greenhouse climate control problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Energy-saving control of greenhouse climate based on MOCC strategy.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Model-based compromise control of greenhouse climate using pareto optimization.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009


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