Haigen Hu

84 papers A* 1A 2B 5Misc 2Journal 46Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation.
Expert Syst. Appl.
Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026 J jnl
Artificial intelligence in microscopic hair imaging for scalp disorders: From image acquisition to clinical decisions.
Medical Image Anal.
Chenquan Gong, Yiping Su, Su Ruan, Haigen Hu
2026 J jnl
DDConv: Dynamic Dilated Convolution.
IEEE Trans. Artif. Intell.
Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Tongxue Zhou
2026 J jnl
Enhancing the Interpretation of Skin Lesion Diagnosis: Concept Adaptive Fine-Tuning of Vision-Language Models.
IEEE J. Biomed. Health Informatics
Yating Zhu, Xiaoyan Wang, Xiaojie Huang, Ming Xia, Pan Mu, Haigen Hu, Xiaoqin Zhang
2026 J jnl
Feature Diversity Learning for a Compact CNN Module.
IEEE Trans. Emerg. Top. Comput. Intell.
Huihuang Zhang, Haigen Hu, Deming Zhou, Bin Cao, Xiaoqin Zhang
2026 J jnl
HEIDet: Edge-guided hierarchical network for lightweight and high-precision brain tumor detection.
Biomed. Signal Process. Control.
Zhongwen Yu, Qiu Guan, Zhiqiang Yang, Mengjie Pan, Xueliang Zhang, Haigen Hu, Huafeng Liu
2026 A* conf
MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning.
AAAI
Jingshan Hong, Haigen Hu, Huihuang Zhang, Qianwei Zhou, Li Zhao
2026 J jnl
Visual-textual consistent concept relation learning for accurate self-explainable disease diagnosis.
Inf. Fusion
Yating Zhu, Xiaoyan Wang, Xiaojie Huang, Ming Xia, Pan Mu, Zheng Wang, Haigen Hu, Xiaoqin Zhang, Zhongzhao Teng
2025 Misc conf
A Novel Self-Supervised Contrastive Learning Framework for Masked EEG Motor Imagery Modeling.
ICASSP
Kunkun Zhang, Qianwei Zhou, Haigen Hu
2025 J jnl
A Promising Method for Sign Language Recognition Based on Deep Learning.
Int. J. Pattern Recognit. Artif. Intell.
Yuetian Wu, Xingkai Chen, Susan Eileen Fox, Haigen Hu
2025 J jnl
An anchor-free instance segmentation method for cells based on mask contour.
Appl. Intell.
Qi Chen, Huihuang Zhang, Qianwei Zhou, Qiu Guan, Haigen Hu
2025 J jnl
Auto-StyleMixer: A universal adaptive N-to-One framework for cross-domain data augmentation.
Knowl. Based Syst.
Huihuang Zhang, Haigen Hu, Bin Cao, Xiaoqin Zhang
2025 J jnl
Compact CNN module balancing between feature diversity and redundancy.
Neural Networks
Huihuang Zhang, Haigen Hu, Deming Zhou, Xiaoqin Zhang, Bin Cao
2025 J jnl
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection.
CoRR
Zhiqiang Yang, Qiu Guan, Zhongwen Yu, Xinli Xu, Haixia Long, Sheng Lian, Haigen Hu, Ying Tang
2025 J jnl
MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning.
CoRR
Jingshan Hong, Haigen Hu, Huihuang Zhang, Qianwei Zhou, Zhao Li
2025 J jnl
Multipath and noise resilient direction of arrival method for low-cost mechanical arm calibration.
Comput. Electr. Eng.
Hanmo Chen, Qianwei Zhou, Haigen Hu, Baoqing Li
2025 — conf
Physics-Guided Diffusion Model for Unpaired Real-World Dehazing.
PRCV (9)
Hanqi Wang, Chenxiang Fan, Haigen Hu, Li Zhao, Xiaoqin Zhang
2025 J jnl
Pruning Networks Only Using Few-Shot Pretraining Based on Gradient Similarity Frequency.
IEEE Trans. Artif. Intell.
Haigen Hu, Huihuang Zhang, Qianwei Zhou, Tieming Chen
2025 J jnl
RMFDNet: Redundant and Missing Feature Decoupling Network for salient object detection.
Eng. Appl. Artif. Intell.
Qianwei Zhou, Jintao Wang, Jiaqi Li, Chen Zhou, Haigen Hu, Keli Hu
2024 J jnl
A comprehensive survey on contrastive learning.
Neurocomputing
Haigen Hu, Xiaoyuan Wang, Yan Zhang, Qi Chen, Qiu Guan
2024 — conf
Cut-Stitch: A Simple and Effective Data Augmentation Method for Industrial Inspection.
ECML/PKDD (4)
Haigen Hu, Jingshan Hong, Kangkang Song, Jinwei Zhu, Weilun Ren
2024 — conf
DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans.
PRCV (14)
Dezhang Ye, Qiu Guan, Zehan Zhang, Jianmin Yang, Haigen Hu, Yang Chen, Feng Chen
2024 J jnl
Dilated Heterogeneous Convolution for Cell Detection and Segmentation Based on Mask R-CNN.
Sensors
Fengdan Hu, Haigen Hu, Hui Xu, Jinshan Xu, Qi Chen
2024 J jnl
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation.
CoRR
Yitong Yang, Xinli Xu, Haigen Hu, Haixia Long, Qianwei Zhou, Qiu Guan
2024 J jnl
HDConv: Heterogeneous kernel-based dilated convolutions.
Neural Networks
Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Hailin Feng
2024 B conf
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images.
IJCNN
Qiu Guan, Mengjie Pan, Feng Chen, Zhiqiang Yang, Zhongwen Yu, Qianwei Zhou, Haigen Hu
2024 J jnl
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images.
CoRR
Qiu Guan, Mengjie Pan, Feng Chen, Zhiqiang Yang, Zhongwen Yu, Qianwei Zhou, Haigen Hu
2024 A conf
Rethinking Domain Generalization from Perspective of Gradient Granularity.
ECAI
Yujie Zhou, Haigen Hu, Qianwei Zhou, Qiu Guan, Mingfeng Jiang
2024 Misc conf
SGT: Self-Guided Transformer for Few-Shot Semantic Segmentation.
ICASSP
Kangkang Ai, Haigen Hu, Qianwei Zhou, Qiu Guan
2024 — conf
Two-Stage Multi-scale Feature Fusion for Small Medical Object Segmentation.
PRCV (14)
Tianhao Wang, Xinli Xu, Cheng Zheng, Haixia Long, Haigen Hu, Qiu Guan, Jianmin Yang
2023 J jnl
A literature survey of MR-based brain tumor segmentation with missing modalities.
Comput. Medical Imaging Graph.
Tongxue Zhou, Su Ruan, Haigen Hu
2023 J jnl
Adaptively Customizing Activation Functions for Various Layers.
IEEE Trans. Neural Networks Learn. Syst.
Haigen Hu, Aizhu Liu, Qiu Guan, Hanwang Qian, Xiaoxin Li, Shengyong Chen, Qianwei Zhou
2023 B conf
CTI-Unet: Hybrid Local Features and Global Representations Efficiently.
ICIP
Haigen Hu, Zhichao Jin, Qianwei Zhou, Qiu Guan, Qi Chen
2023 — conf
Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction.
BIBM
Xiao-Xin Li, Wen-Hao Zheng, Qianwei Zhou, Haigen Hu, Lei Chen
2023 — conf
Fast MRI Reconstruction via Boosting Filter Diversity of Deep Cascading Networks.
BIBM
Wen-Hao Zheng, Xiao-Xin Li, Haigen Hu, Qianwei Zhou, Qihui Wang
2023 — conf
Learning Domain-Invariant Representations from Text for Domain Generalization.
PRCV (8)
Huihuang Zhang, Haigen Hu, Qi Chen, Qianwei Zhou, Mingfeng Jiang
2023 — conf
SAMDConv: Spatially Adaptive Multi-scale Dilated Convolution.
PRCV (8)
Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Qi Chen
2023 — conf
TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module.
ICIC (4)
Haigen Hu, Deming Zhou, Hui Xu, Qi Chen, Qiu Guan, Qianwei Zhou
2022 B conf
A Channel-Spatial Hybrid Attention Mechanism using Channel Weight Transfer Strategy.
ICPR
Jie Pan, Haigen Hu, Aizhu Liu, Qianwei Zhou, Qiu Guan
2022 — conf
Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing.
BIBM
Zhi-Jie Chen, Tianyi Xing, Qianwei Zhou, Haigen Hu, Xiao-Xin Li
2022 J jnl
Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images.
Pattern Recognit.
Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan
2022 J jnl
Generative Adversarial Networks in Medical Image augmentation: A review.
Comput. Biol. Medicine
Yizhou Chen, Xu-Hua Yang, Zihan Wei, Ali Asghar Heidari, Nenggan Zheng, Zhicheng Li, Huiling Chen, Haigen Hu, Qianwei Zhou, Qiu Guan
2022 — conf
Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net.
BIBM
Zhichao Jin, Haigen Hu, Qianwei Zhou, Qiu Guan, Xiaoxin Li, Qi Chen
2022 J jnl
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Comput. Biol. Medicine
Qiu Guan, Yizhou Chen, Zihan Wei, Ali Asghar Heidari, Haigen Hu, Xuhua Yang, Jianwei Zheng, Qianwei Zhou, Huiling Chen, Feng Chen
2022 — conf
Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation.
ICANN (2)
Zihan Wei, Yizhou Chen, Qiu Guan, Haigen Hu, Qianwei Zhou, Zhicheng Li, Xinli Xu, Alejandro Frangi, Feng Chen
2022 J jnl
Residual-recursive autoencoder for accelerated evolution in savonius wind turbines optimization.
Neurocomputing
Qianwei Zhou, Baoqing Li, Peng Tao, Zhang Xu, Chen Zhou, Yanzhuang Wu, Haigen Hu
2021 J jnl
A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods.
Appl. Soft Comput.
Tian Qiu, Haigen Hu, Ruixin Chen, Qianwei Zhou, Qiu Guan, Xiaoxin Li
2021 J jnl
Adaptively Customizing Activation Functions for Various Layers.
CoRR
Haigen Hu, Aizhu Liu, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou
2021 J jnl
An adaptive learning method of anchor shape priors for biological cells detection and segmentation.
Comput. Methods Programs Biomed.
Haigen Hu, Aizhu Liu, Qianwei Zhou, Qiu Guan, Xiaoxin Li, Qi Chen
2021 J jnl
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images.
CoRR
Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan
2021 — conf
Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis.
ICONIP (3)
Yizhou Chen, Zhengwei Lu, Xu-Hua Yang, Haigen Hu, Qiu Guan, Feng Chen
2021 J jnl
Training deep neural networks for wireless sensor networks using loosely and weakly labeled images.
Neurocomputing
Qianwei Zhou, Yuhang Chen, Baoqing Li, Xiaoxin Li, Chen Zhou, Jingchang Huang, Haigen Hu
2021 — conf
Unsupervised Multimodal MR Images Synthesizer Using Knowledge From Higher Dimension.
BIBM
Qianwei Zhou, Yibo Liu, Haigen Hu, Qiu Guan, Yuan Guo, Fan Zhang
2020 J jnl
Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Haigen Hu, Qiu Guan, Shengyong Chen, Zhiwei Ji, Yao Lin
2020 — conf
Exploring Optimal Adaptive Activation Functions for Various Tasks.
BIBM
Aizhu Liu, Haigen Hu, Tian Qiu, Qianwei Zhou, Qiu Guan, Xiaoxin Li
2020 — conf
Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy.
ISBI
Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
2020 J jnl
Residual-Recursion Autoencoder for Shape Illustration Images.
CoRR
Qianwei Zhou, Peng Tao, Xiaoxin Li, Shengyong Chen, Fan Zhang, Haigen Hu
2020 J jnl
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images.
CoRR
Qianwei Zhou, Yuhang Chen, Baoqing Li, Xiaoxin Li, Chen Zhou, Jingchang Huang, Haigen Hu
2019 — conf
A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images.
BIBM
Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Pierre Vera, Su Ruan
2019 J jnl
A Locating Method for Reliability-Critical Gates with a Parallel-Structured Genetic Algorithm.
J. Comput. Sci. Technol.
Jie Xiao, Zhanhui Shi, Jianhui Jiang, Xu-Hua Yang, Yujiao Huang, Haigen Hu
2019 — conf
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
BIBM
Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan
2019 — conf
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI.
MLMI@MICCAI
Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
2019 J jnl
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg.
Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan
2019 — conf
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
CISP-BMEI
Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2019 — conf
MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images.
BIBM
Haigen Hu, Yixing Zheng, Qianwei Zhou, Jie Xiao, Shengyong Chen, Qiu Guan
2019 J jnl
Towards the Automation of Deep Image Prior.
CoRR
Qianwei Zhou, Chen Zhou, Haigen Hu, Yuhang Chen, Shengyong Chen, Xiaoxin Li
2019 J jnl
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
Haigen Hu, Lili Zhou, Qianwei Zhou, Shengyong Chen, Junkang Zhang
2019 J jnl
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
Haigen Hu, Xiangyong Kong, Qianwei Zhou, Qiu Guan, Shengyong Chen
2018 — conf
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet.
ICANN (2)
Haigen Hu, Kangjie Li, Qiu Guan, Feng Chen, Shengyong Chen, Yicheng Ni
2018 J jnl
A fast online multivariable identification method for greenhouse environment control problems.
Neurocomputing
Haigen Hu, Cheng Luo, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou
2018 J jnl
An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion.
IEEE Access
Haigen Hu, Lili Zhou, Qiu Guan, Qianwei Zhou, Shengyong Chen
2017 — conf
A more precise multi-modal image registration using self-similarities.
CISP-BMEI
Qiu Guan, Qinqin Jin, Haixia Long, Kangjie Li, Haigen Hu, Xiaoyan Wang
2016 — conf
Cancer Cells Detection in Phase-Contrast Microscopy Images Based on Faster R-CNN.
ISCID (1)
Junkang Zhang, Haigen Hu, Shengyong Chen, Yujiao Huang, Qiu Guan
2015 — conf
Isogeometric analysis for cardiac modeling and mechanical analysis.
ROBIO
Qiu Guan, Qiang Liu, Huabin Yin, Jianhua Zhang, Haigen Hu
2014 J jnl
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl.
Haigen Hu, Lihong Xu, Erik D. Goodman, Songwei Zeng
2012 J jnl
Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network.
Sensors
Songwei Zeng, Haigen Hu, Lihong Xu, Guanghui Li
2011 J jnl
A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy.
Sensors
Haigen Hu, Lihong Xu, Bingkun Zhu, Ruihua Wei
2011 J jnl
Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms.
Sensors
Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu
2010 — conf
A control optimization algorithm for greenhouse climate control problems.
GECCO (Companion)
Haigen Hu, Lihong Xu, Erik D. Goodman
2010 A conf
Adaptive fuzzy control for trajectory tracking of Mobile Robot.
IROS
Yuming Liang, Lihong Xu, Ruihua Wei, Haigen Hu
2010 B conf
Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms.
IEEE Congress on Evolutionary Computation
Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu
2010 B conf
Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network.
IJCNN
Haigen Hu, Lihong Xu, Ruihua Wei
2009 — conf
Energy-saving control of greenhouse climate based on MOCC strategy.
GEC Summit
Lihong Xu, Haigen Hu, Bingkun Zhu
2009 — conf
Model-based compromise control of greenhouse climate using pareto optimization.
GEC Summit
Haigen Hu, Lihong Xu, Qingsong Hu