Affine-Invariant Sketch-Based Retrieval of Images. - Horace Ho-Shing Ip; Angus K. Y. Cheng; William Y. F. Wong; Jun Feng 003 (Computer Graphics International, 2001)

Three-Dimensional Enhancement of Confocal Scanning Laser Fluorescence Microscope Images for Vascular Reconstruction. - Horace Ho-Shing Ip; Judy Jun Feng; Shuk Han Cheng (ICPR (3), 2002)

Automatic segmentation and tracking of vasculature from confocal scanning laser fluorescence microscope using multi-orientation dissections. - Horace Ho-Shing Ip; Judy Jun Feng; Shuk Han Cheng (ISBI, 2002)

Adaptive thresholding image series from fluorescence confocal scanning laser microscope using orientation intensity profiles. - Judy Jun Feng; Horace H. S. Ip; Shuk Han Cheng (Image Processing, 2004)

A 3D Geometric Deformable Model for Tubular Structure Segmentation. - Jun Feng 003; Horace Ho-Shing Ip; Shuk Han Cheng (MMM, 2004)

Chi-Square Goodness-of-Fit Test of 3D Point Correspondence for Model Similarity Measure and Analysis. - Jun Feng 003; Horace Ho-Shing Ip (CIVR, 2005)

Iterative 3D Point-Set Registration Based on Hierarchical Vertex Signature (HVS). - Jun Feng 003; Horace Ho-Shing Ip (MICCAI (2), 2005)

Reconstruction and representation of caudal vasculature of zebrafish embryo from confocal scanning laser fluorescence microscopic images. - Jun Feng 003; Shuk Han Cheng; Po K. Chan; Horace Ho-Shing Ip (Comput. Biol. Medicine, 2005)

MISTO: A Multi-Resolution Deformable Model for Segmentation of Soft-Tissue Organs. - Jun Feng 003; Horace Ho-Shing Ip (ICIP, 2006)

A Statistical Assembled Model for Segmentation of Entire 3D Vasculature. - Jun Feng 003; Horace Ho-Shing Ip (ICPR (4), 2006)

Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM). - Tian-Tian Chang; Jun Feng 003; Hong-Wei Liu; Horace Ho-Shing Ip (ICPR, 2008)

Statistical Piecewise Assembled Model (SPAM) for the Representation of Highly Deformable Medical Organs. - Jun Feng 003; Peng Du; Horace Ho-Shing Ip (MIAR, 2008)

An Integration of Statistical Deformable Model and Finite Element Method for Bone-Related Soft Tissue Prediction in Orthognathic Surgery Planning. - Qizhen He; Jun Feng 003; Horace Ho-Shing Ip; James J. Xia; Xianbin Cao 001 (MIAR, 2008)

Robust point correspondence matching and similarity measuring for 3D models by relative angle-context distributions. - Jun Feng 003; Horace Ho-Shing Ip; Lap Yi Lai; Alf D. Linney (Image Vis. Comput., 2008)

Segmenting deformable soft-body meshes based on statistical variation information for piecewise Active Shape Model. - Peng Du; Horace Ho-Shing Ip; Jun Feng 003; Bei Hua (CAD/Graphics, 2009)

3D object retrieval based on visual keywords using Relative Angle Context Distribution. - Qizhen He; Jun Feng 003; Horace Ho-Shing Ip (WIAMIS, 2009)

A statistical assembled deformable model (SAMTUS) for vasculature reconstruction. - Jun Feng 003; Horace Ho-Shing Ip (Comput. Biol. Medicine, 2009)

Br-SDM: a fast and accurate method for bone-related soft tissue prediction in orthognathic surgery planning based on the integration of SDM and FEM. - Qizhen He; Jun Feng 003; Horace Ho-Shing Ip; James J. Xia; Xianbin Cao 001 (Int. J. Funct. Informatics Pers. Medicine, 2009)

A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction. - Jun Feng 003; Horace Ho-Shing Ip (Pattern Recognit., 2009)

Mr-SDM: a novel statistical deformable model for object deformation. - Qizhen He; Horace Ho-Shing Ip; Jun Feng 003; Xianbin Cao 001 (Vis. Comput., 2009)

Automated abnormality detection of craniomaxillofacial based on Statistical Deformable Models. - Shaoyin Wang; Jun Feng 003; Xinlong Tong; Hui Liu; Xiaowei He (BHI, 2012)

Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning. - Su-Yang An; Jun Feng 003; Zhan Li; Yan-Yan Han; Qiu-Ping Wang; Xiaowei He (CCPR, 2012)

Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model. - Peng Du; Horace Ho-Shing Ip; Bei Hua; Jun Feng 003 (Vis. Comput., 2012)

Simplified Constraints Rank-SVM for Multi-label Classification. - Jiarong Wang; Jun Feng 003; Xia Sun; Su-Shing Chen; Bo Chen (CCPR (1), 2014)

Classifying Lung Cancer Knowledge in PubMed According to GO Terms Using Extreme Learning Machine. - Xia Sun; Xuebin Xu; Jiarong Wang; Jun Feng 003; Su-Shing Chen (Int. J. Intell. Syst., 2014)

Age Estimation Based on Canonical Correlation Analysis and Extreme Learning Machine. - Jie Si; Jun Feng 003; Qirong Bu; Xiaohu Sun; Xiaowei He; Shi Qiu (CCBR, 2015)

Multi-object Segmentation for Abdominal CT Image Based on Visual Patch Classification. - Pan Li; Jun Feng 003; Qirong Bu; Feihong Liu; Hongyu Wang 007 (CCCV (2), 2015)

Image dehazing base on two-peak channel prior. - Xiaoxu Han; Hongwei Feng; Qirong Bu; Jun Feng 003; Xiaoning Liu 001 (ICIP, 2016)

Extreme Learning Machine for Multi-Label Classification. - Xia Sun; Jingting Xu; Changmeng Jiang; Jun Feng 003; Su-Shing Chen; Feijuan He (Entropy, 2016)

An Accelerated Superpixel Generation Algorithm Based on 4-Labeled-Neighbors. - Hongwei Feng; Fang Xiao; Qirong Bu; Feihong Liu; Lei Cui 004; Jun Feng 003 (CCCV (1), 2017)

Normalized Euclidean Super-Pixels for Medical Image Segmentation. - Feihong Liu; Jun Feng 003; Wenhuo Su; Zhaohui Lv; Fang Xiao; Shi Qiu (ICIC (3), 2017)

An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis. - Rui Chen 005; Qingyi Hua; Xiang Ji; Yun Liu 002; Hongyu Wang 007; Juanni Li; Jianxin Liu; Jun Feng 003 (IEEE Access, 2017)

Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints. - Xia Sun; Jiarong Wang; Jun Feng 003; Su-Shing Chen; Feijuan He (Neural Comput. Appl., 2017)

Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification. - Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2018)

Skull Gender Identification Based on Skull Contour and Convolutional Neural Network. - Xiaoning Liu 001; FangFang Qiao; Shixiong Wang; Jun Feng 003; Shanghao Zhao; Wen Yang 003 (BIBM, 2018)

Deep Convolution Neural Networks for Drug-Drug Interaction Extraction. - Xia Sun; Jun Feng 003; Long Ma; Ke Dong; Xiaodong Du (BIBM, 2018)

Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features. - Qirong Bo; Wenwen Yang; Nabin Rijal; Yilin Xie; Jun Feng 003; Jing Zhang (ICIP, 2018)

Automatic Mass Detection from Mammograms with Region-Based Convolutional Neural Network. - Yifan Wu; Weifeng Shi; Lei Cui 004; Hongyu Wang 007; Qirong Bu; Jun Feng 003 (IGTA, 2018)

A Shallow ResNet with Layer Enhancement for Image-Based Particle Pollution Estimation. - Wenwen Yang; Jun Feng 003; Qirong Bo; Yixuan Yang; Bo Jiang (PRCV (2), 2018)

Wi-Fi Based Gesture Recognition Using Deep Transfer Learning. - Qirong Bu; Gang Yang; Jun Feng 003; Xingxia Ming (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Breast mass classification via deeply integrating the contextual information from multi-view data. - Hongyu Wang 007; Jun Feng 003; Zizhao Zhang; Hai Su; Lei Cui 004; Hua He; Li Liu (Pattern Recognit., 2018)

A novel feature selection approach based on multiple filters and new separable degree index for credit scoring. - Hongwei Feng; Shuang Li; Dianyuan He; Jun Feng 003 (ACM TUR-C, 2019)

Personalized exercise recommendation via implicit skills. - Wenying Kang; Lei Zhang; Bo Li; Jing Chen; Xia Sun; Jun Feng 003 (ACM TUR-C, 2019)

Muti-behavior features based knowledge tracking using decision tree improved DKVMN. - Xia Sun; Xu Zhao; Yuan Ma; Xinrui Yuan; Feijuan He; Jun Feng 003 (ACM TUR-C, 2019)

CLMS-Net: dropout prediction in MOOCs with deep learning. - Nannan Wu; Lei Zhang; Yi Gao 003; Mingfei Zhang; Xia Sun; Jun Feng 003 (ACM TUR-C, 2019)

Personalized Recommendation Method of POI Based on Deep Neural Network. - Yuan Gao 045; Zhizhou Duan; Weifeng Shi; Jun Feng 003; Yao-Yi Chiang (BESC, 2019)

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis. - Hansheng Li; Jun Feng 003; Baosheng Kang; Yuxin Kang; Feihong Liu; Wenli Hui; Qirong Bo; Chunbao Wang 002; Lin Yang 002; Lei Cui 004 (BIBM, 2019)

$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis. - Mengdi Yan; Hansheng Li; Baosheng Kang; Jun Feng 003; Yuxin Kang; Tao Zhang; Lin Yang 002; Lei Cui 004 (BIBM, 2019)

Reconstructed Face Recognition. - Xiaoning Liu 001; Shanghao Zhao; Shixiong Wang; Yunpeng Jing; Jun Feng 003 (CCBR, 2019)

Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning. - Shanghao Zhao; Xiaoning Liu 001; Shixiong Wang; Yunpeng Jing; Jun Feng 003 (CCBR, 2019)

Pancreas Segmentation in Abdominal CT Scans using Inter-/Intra-Slice Contextual Information with a Cascade Neural Network. - Zhengzheng Yang; Lei Zhang; Min Zhang; Jun Feng 003; Zheng Wu; Fenggang Ren; Yi Lv (EMBC, 2019)

Multi-depth Dilated Network for Fashion Landmark Detection. - Zeng Kai; Jun Feng 003; Richard F. E. Sutcliffe; Xiaoyu Wang; Qirong Bu (ICME Workshops, 2019)

Diagnostic Classification of Pulmonary Nodules Using a Multi-scale and Multi-input DenseNet. - Mengsong Wang; Hansheng Li; Yifan Wu; Qirong Bu; Jun Feng 003 (IGTA, 2019)

Deep convolutional network based on rank learning for OCT retinal images quality assessment. - Jia Yang Wang; Lei Zhang; Min Zhang; Jun Feng 003; Yi Lv (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. - Feihong Liu; Jun Feng 003; Geng Chen 001; Ye Wu 001; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (GLMI@MICCAI, 2019)

Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary study. - Min Zhang; Jia Yang Wang; Lei Zhang; Jun Feng 003; Yi Lv (Image Perception, Observer Performance, and Technology Assessment, 2019)

Salient Object Detection via Light-Weight Multi-path Refinement Networks. - Kang Ma; Jun Feng 003; Tuo Zhang; Rui Wang; Qirong Bu (PRCV (1), 2019)

Attention-Based Character-Word Hybrid Neural Networks With Semantic and Structural Information for Identifying of Urgent Posts in MOOC Discussion Forums. - Shou Xi Guo; Xia Sun; Shixiong Wang; Yi Gao 003; Jun Feng 003 (IEEE Access, 2019)

High throughput automatic muscle image segmentation using parallel framework. - Lei Cui 004; Jun Feng 003; Zizhao Zhang; Lin Yang 002 (BMC Bioinform., 2019)

Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network. - Wen Yang 003; Xiaoning Liu 001; Kegang Wang; Jiabei Hu; Guohua Geng; Jun Feng 003 (Comput. Math. Methods Medicine, 2019)

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. - Feihong Liu; Jun Feng 003; Pew-Thian Yap; Dinggang Shen (CoRR, 2019)

Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information. - Jing Chen; Jun Feng 003; Jingzhao Hu; Xia Sun (Entropy, 2019)

A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data. - Jun Feng 003; Zeyun Liu; Hongwei Feng; Richard F. E. Sutcliffe; Jianni Liu; Jian Han (Entropy, 2019)

Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. - Xia Sun; Ke Dong; Long Ma; Richard F. E. Sutcliffe; Feijuan He; Su-Shing Chen; Jun Feng 003 (Entropy, 2019)

Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction. - Xia Xue; Jun Feng 003; Yi Gao 003; Meng Liu; Wenyu Zhang; Xia Sun; Aiqi Zhao; Shou Xi Guo (Entropy, 2019)

Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss. - Xiaoyu Wang; Lei Zhang; Qirong Bo; Jun Feng 003; Jingzhao Hu; Yuxin Kang; Jing Zhang (ICIP, 2020)

Personalized tourism route recommendation based on user's active interests*. - Zhizhou Duan; Yuan Gao 045; Jun Feng 003; Xiaoxi Zhang; Jie Wang (MDM, 2020)

Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy. - Yuxin Kang; Hansheng Li; Xin Han; Boju Pan; Yuan Li; Yan Jin; Qirong Bu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (MLMI@MICCAI, 2020)

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. - Hansheng Li; Xin Han; Yuxin Kang; Xiaoshuang Shi; Mengdi Yan; Zixu Tong; Qirong Bu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (MICCAI (5), 2020)

High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations. - Hongyu Wang 007; Jun Feng 003; Xiaoying Pan; Di Yang; Bao-ying Chen (SASHIMI@MICCAI, 2020)

Completely Blind Image Quality Assessment with Visual Saliency Modulated Multi-feature Collaboration. - Min Zhang; Wenjing Hou; Xiaomin Xu; Lei Zhang; Jun Feng 003 (PRCV (1), 2020)

Blind Image Quality Assessment with Visual Sensitivity Enhanced Dual-Channel Deep Convolutional Neural Network. - Min Zhang; Lei Zhang; Wenjing Hou; Jun Feng 003 (QoMEX, 2020)

A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. - Lei Cui 004; Hansheng Li; Wenli Hui; Sitong Chen; Lin Yang 002; Yuxin Kang; Qirong Bo; Jun Feng 003 (BMC Bioinform., 2020)

Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy. - Feihong Liu; Xiao Zhang 028; Hongyu Wang 007; Jun Feng 003 (Entropy, 2020)

Semantic trajectory segmentation based on change-point detection and ontology. - Yuan Gao 045; Longfei Huang; Jun Feng 003; Xin Wang 004 (Int. J. Geogr. Inf. Sci., 2020)

Multi-depth dilated network for fashion landmark detection with batch-level online hard keypoint mining. - Qirong Bu; Kai Zeng; Rui Wang; Jun Feng 003 (Image Vis. Comput., 2020)

A parallel neural network structure for sentiment classification of MOOCs discussion forums. - Yi Gao 003; Xia Sun; Xin Wang 104; Shou Xi Guo; Jun Feng 003 (J. Intell. Fuzzy Syst., 2020)

Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts. - Jing Chen; Jun Feng 003; Xia Sun; Yang Liu (Symmetry, 2020)

Boosting Boundary Representation for Gland Instance Segmentation. - Yuxin Kang; Hansheng Li; Zhuoyue Wu; Feihong Liu; Dongqing Hu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2021)

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues. - Hansheng Li; Yuxin Kang; Lingyu Hu; Qian Ma; Lei Cui 004; Jun Feng 003; Lin Yang 002; Wentao Yang (BIBM, 2021)

Fashion Landmark Detection via Deep Residual Spatial Attention Network. - Rui Wang; Jun Feng 003; Qirong Bu (ICTAI, 2021)

EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features. - Chen Wang 093; Jingzhao Hu; Ke Liu; Qiaomei Jia; Jiayue Chen; Kun Yang 001; Jun Feng 003 (ISBRA, 2021)

Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. - Jianping Li; Zhiming Cui; Shuai Wang; Jie Wei; Jun Feng 003; Shu Liao; Dinggang Shen (MLMI@MICCAI, 2021)

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. - Zhuoyue Wu; Hansheng Li; Lei Cui 004; Yuxin Kang; Jianye Liu; Haider Ali; Jun Feng 003; Lin Yang 002 (MLMI@MICCAI, 2021)

CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. - Xiao Zhang 028; Zhiming Cui; Jun Feng 003; Yanli Song; Dijia Wu; Dinggang Shen (MLMI@MICCAI, 2021)

A Dense Margin Network for Human Activity Recognition Based on Augmented Channel State Information. - Lijian Wei; Jun Feng 003; Yufei Liu; Tuo Zhang; Qirong Bu; Baoying Liu (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Semantic-enhanced sequential modeling for personality trait recognition from texts. - Xia Xue; Jun Feng 003; Xia Sun (Appl. Intell., 2021)

GRU-based capsule network with an improved loss for personnel performance prediction. - Xia Xue; Yi Gao 003; Meng Liu; Xia Sun; Wenyu Zhang; Jun Feng 003 (Appl. Intell., 2021)

Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI. - Hongyu Wang 007; Jiaqi Cao; Jun Feng 003; Yilin Xie; Di Yang; Bao-ying Chen (Biomed. Signal Process. Control., 2021)

Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing. - Mustafa Mhamed; Richard F. E. Sutcliffe; Xia Sun; Jun Feng 003; Eiad Almekhlafi; Ephrem Afele Retta (Comput. Intell. Neurosci., 2021)

Lookup subnet based Spatial Graph Convolutional neural Network. - Jingzhao Hu; Xiaoqi Zhang; Qiaomei Jia; Chen Wang 093; Qirong Bu; Jun Feng 003 (CoRR, 2021)

ScalingNet: extracting features from raw EEG data for emotion recognition. - Jingzhao Hu; Chen Wang 093; Qiaomei Jia; Qirong Bu; Jun Feng 003 (CoRR, 2021)

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? - Feihong Liu; Junwei Yang; Xiaowei He; Luping Zhou; Jun Feng 003; Dinggang Shen (CoRR, 2021)

Salient object detection via light-weight multi-path cascaded networks. - Qirong Bu; Kang Ma; Rui Wang; Tuo Zhang; Jun Feng 003 (Neurocomputing, 2021)

ScalingNet: Extracting features from raw EEG data for emotion recognition. - Jingzhao Hu; Chen Wang 093; Qiaomei Jia; Qirong Bu; Richard F. E. Sutcliffe; Jun Feng 003 (Neurocomputing, 2021)

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. - Feihong Liu; Jun Feng 003; Geng Chen 001; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP. - Yang Liu; Bo Jiang; Jun Feng 003; Jingzhao Hu; Haibo Zhang (Multim. Tools Appl., 2021)

DCE-MRI interpolation using learned transformations for breast lesions classification. - Hongyu Wang 007; Cong Gao; Jun Feng 003; Xiaoying Pan; Di Yang; Bao-ying Chen (Multim. Tools Appl., 2021)

Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification. - Xia Sun; Yi Gao 003; Richard F. E. Sutcliffe; Shou Xi Guo; Xin Wang 104; Jun Feng 003 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. - Yuxin Kang; Hansheng Li; Xuan Zhao; Xiaoshuang Shi; Feihong Liu; Qingguo Yan; Ying Guo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2022)

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation. - Xuan Zhao; Yuxin Kang; Hansheng Li; Jiayu Luo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2022)

ASRL: An Adaptive GPS Sampling Method Using Deep Reinforcement Learning. - Boting Qu; Mengjiao Zhao; Jun Feng 003; Xin Wang (MDM, 2022)

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. - Xiao Zhang 028; Jingyang Zhang; Lei Ma 006; Peng Xue; Yan Hu; Dijia Wu; Yiqiang Zhan; Jun Feng 003; Dinggang Shen (MICCAI (5), 2022)

Time-Frequency Attention for Speech Emotion Recognition with Squeeze-and-Excitation Blocks. - Ke Liu; Chen Wang 093; Jiayue Chen; Jun Feng 003 (MMM (1), 2022)

BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples. - Jingzhao Hu; Hao Zhang; Yang Liu; Richard F. E. Sutcliffe; Jun Feng 003 (Appl. Intell., 2022)

MKPM: Multi keyword-pair matching for natural language sentences. - Xin Lu; Yao Deng; Ting Sun; Yi Gao 003; Jun Feng 003; Xia Sun; Richard F. E. Sutcliffe (Appl. Intell., 2022)

A New Amharic Speech Emotion Dataset and Classification Benchmark. - Ephrem A. Retta; Eiad Almekhlafi; Richard F. E. Sutcliffe; Mustafa Mhamed; Haider Ali; Jun Feng 003 (CoRR, 2022)

Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark. - Ephrem A. Retta; Richard F. E. Sutcliffe; Eiad Almekhlafi; Yosef K. Enku; Eyob Alemu; Tigist D. Gemechu; Michael Abebe Berwo; Mustafa Mhamed; Jun Feng 003 (CoRR, 2022)

A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets. - Mustafa Mhamed; Richard F. E. Sutcliffe; Xia Sun; Jun Feng 003; Eiad Almekhlafi; Ephrem A. Retta (CoRR, 2022)

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation. - Yuxin Kang; Hansheng Li; Xuan Zhao; Dongqing Hu; Feihong Liu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (CoRR, 2022)

GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification. - Xiaoxi Zhang; Yuan Gao 045; Xin Wang 004; Jun Feng 003; Yan Shi (ISPRS Int. J. Geo Inf., 2022)

MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network. - Haider Ali; Imran Ul Haq; Lei Cui 004; Jun Feng 003 (BMC Medical Informatics Decis. Mak., 2022)

TransferSense: towards environment independent and one-shot wifi sensing. - Qirong Bu; Xingxia Ming; Jingzhao Hu; Tuo Zhang; Jun Feng 003; Jing Zhang (Pers. Ubiquitous Comput., 2022)

Deep transfer learning for gesture recognition with WiFi signals. - Qirong Bu; Gang Yang; Xingxia Ming; Tuo Zhang; Jun Feng 003; Jing Zhang (Pers. Ubiquitous Comput., 2022)

Speech Emotion Recognition via Multi-Level Attention Network. - Ke Liu; Dekui Wang; Dongya Wu; Yutao Liu; Jun Feng 003 (IEEE Signal Process. Lett., 2022)

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis. - Hansheng Li; Jianping Li; Yuxin Kang; Chunbao Wang 002; Feihong Liu; Wenli Hui; Qirong Bo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing. - Xia Sun; Xu Zhao; Bo Li; Yuan Ma; Richard F. E. Sutcliffe; Jun Feng 003 (IEEE Trans. Cybern., 2022)

How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing. - Boting Qu; Linran Mao; Zhenzhou Xu; Jun Feng 003; Xin Wang 004 (IEEE Trans. Intell. Transp. Syst., 2022)

A Dynamic Ridesplitting Method With Potential Pick-Up Probability Based on GPS Trajectories. - Boting Qu; Xinyu Ren; Jun Feng 003; Xin Wang 004 (IEEE Trans. Intell. Transp. Syst., 2022)

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images. - Zhengyang Xu; Xianglong Du; Yuxin Kang; Hong Lv; Ming Li; Wentao Yang; Lei Cui 004; Hansheng Li; Yaqiong Xing; Jun Feng 003; Lin Yang 002 (BIBM, 2023)

Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features. - Ke Liu; Jingzhao Hu; Jun Feng 003 (ICASSP, 2023)

Speech Emotion Recognition via Heterogeneous Feature Learning. - Ke Liu; Dongya Wu; Dekui Wang; Jun Feng 003 (ICASSP, 2023)

Speech Emotion Recognition Via Two-Stream Pooling Attention With Discriminative Channel Weighting. - Ke Liu; Dekui Wang; Dongya Wu; Jun Feng 003 (ICASSP, 2023)

Local Feature Enhanced Adversarial Network for the Blind Image Quality Assessment. - Xiaomei Shi; Min Zhang; Shouhai Xia; Ruxue Zhang; Jun Feng 003 (ICASSP, 2023)

A Sentiment and Syntactic-Aware Graph Convolutional Network for Aspect-Level Sentiment Classification. - Yuxin Yang; Xia Sun; Qiang Lu 006; Richard F. E. Sutcliffe; Jun Feng 003 (ICASSP, 2023)

Improving Chinese Spelling Correction by Ranking. - Jun Feng 003; Shuai Wang; Wenbiao Yin; Lin Shang 001 (IJCNN, 2023)

Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images. - Dongqing Hu; Hansheng Li; Yuxin Kang; Jiayu Luo; Qingguo Yan; Ying Guo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (ISBI, 2023)

Utilization of Spatio-Temporal and Social Information for POI Group Recommendation. - Pengyu Niu; Boting Qu; Jun Feng 003; Xin Wang (MDM, 2023)

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. - Hansheng Li; Zhengyang Xu; Mo Zhou; Xiaoshuang Shi; Yuxin Kang; Qirong Bu; Hong Lv; Ming Li; Mingzhen Lin; Lei Cui 004; Jun Feng 003; Wentao Yang; et al. (MICCAI (6), 2023)

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. - Xiao Zhang 028; Feihong Liu; Yuning Gu; Xiaosong Xiong; Caiwen Jiang; Jun Feng 003; Dinggang Shen (MICCAI (7), 2023)

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. - Feihong Liu; Yongsheng Pan; Junwei Yang; Fang Xie; Xiaowei He; Han Zhang 002; Feng Shi 001; Jun Feng 003; Qihao Guo; Dinggang Shen (MLMI@MICCAI (2), 2023)

Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? - Feihong Liu; Junwei Yang; Mingyue Feng; Zhiming Cui; Xiaowei He; Luping Zhou; Jun Feng 003; Dinggang Shen (Comput. Medical Imaging Graph., 2023)

Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages. - Ephrem Afele Retta; Richard F. E. Sutcliffe; Jabar Mahmood; Michael Abebe Berwo; Eiad Almekhlafi; Sajjad Ahmed Khan; Shehzad Ashraf Chaudhry; Mustafa Mhamed; Jun Feng 003 (CoRR, 2023)

FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm. - Dekui Wang; Jun Feng 003; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences. - Tonghui Wang; Hongyu Wang 007; Jiahui Deng; Dandan Zhang; Jun Feng 003; Bao-ying Chen (Biomed. Signal Process. Control., 2023)

CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays. - Dandan Zhang; Hongyu Wang 007; Jiahui Deng; Tonghui Wang; Cong Shen; Jun Feng 003 (Comput. Biol. Medicine, 2023)

Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network. - Hongyu Wang 007; Dandan Zhang; Songtao Ding; Zhanyi Gao; Jun Feng 003; Shaohua Wan 001 (Neural Comput. Appl., 2023)

Wse-MF: A weighting-based student exercise matrix factorization model. - Xia Sun; Bo Li; Richard F. E. Sutcliffe; Zhizezhang Gao; Wenying Kang; Jun Feng 003 (Pattern Recognit., 2023)

Adaptive denoising for magnetic resonance image based on nonlocal structural similarity and low-rank sparse representation. - Hongyu Wang 007; Ying Li; Songtao Ding; Xiaoying Pan; Zhanyi Gao; Shaohua Wan 001; Jun Feng 003 (Clust. Comput., 2023)

A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm. - Dekui Wang; Jun Feng 003; Ke Liu; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Exploring Relations between Programming Learning Trajectories and Students' Majors. - Zhizezhang Gao; Haochen Yan; Yuheng Wu; Can Cui; Yingzhi Zhang; Jun Feng 003 (ACM TUR-C, 2024)

Convolution Attentive Knowledge Tracing with comprehensive behavioral features. - Jiaqi Xing; Kaixuan Li 009; Yuheng Wu; Zhizezhang Gao; Xingyu Liu; Xia Sun; Jun Feng 003 (ACM TUR-C, 2024)

SACH-Net: Shape-Adaptive Convolution and Hierarchical Topology Constraints Framework for Coronary Artery Segmentation. - Zhuo Jin; Shaoxuan Wu; Zhizezhang Gao; Xiaosong Xiong; Xiao Zhang 028; Jun Feng 003 (EMBC, 2024)

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide. - Mo Zhou; Hansheng Li; Zhizezhang Gao; Mengxin Lu; Xiao Zhang 028; Yuxin Kang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (EMBC, 2024)

Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM. - Hongzhao Li; Hongyu Wang 007; Xia Sun; Hua He; Jun Feng 003 (ICME, 2024)

A Self-Attention Network With Position-Prior Guided Feature Mapping And Clustering For 3D Pancreas Segnentation. - Kaiyang Fan; Min Zhang; Shouhai Xia; Junli Du; Pan Yang; Xiao Zhang 028; Jun Feng 003 (ISBI, 2024)

Scribble-Based Medical Image Segmentation via Shape Perturbation Consistency and Boundary Enhancement Constraint. - Shaoxuan Wu; Xiao Zhang 028; Ying Huang; Xia Sun; Jun Feng 003 (ISBI, 2024)

Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image. - Shaoxuan Wu; Xiao Zhang 028; Bin Wang; Zhuo Jin; Hansheng Li; Jun Feng 003 (MICCAI (1), 2024)

GO: A two-step generative optimization method for point cloud registration. - Yan Zhao; Jiahui Deng; Feihong Liu; Wen Tang; Jun Feng 003 (Comput. Graph., 2024)

Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis. - Qiang Lu 006; Xia Sun; Zhizezhang Gao; Yunfei Long; Jun Feng 003; Hao Zhang (Inf. Process. Manag., 2024)

A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets. - Hongyu Wang 007; Dandan Zhang; Jun Feng 003; Lucia Cascone; Michele Nappi; Shaohua Wan 001 (Inf. Fusion, 2024)

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. - Xiao Zhang 028; Kaicong Sun; Dijia Wu; Xiaosong Xiong; Jiameng Liu; Linlin Yao; Shufang Li; Yining Wang; Jun Feng 003; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Fact-sentiment incongruity combination network for multimodal sarcasm detection. - Qiang Lu 006; Yunfei Long; Xia Sun; Jun Feng 003; Hao Zhang (Inf. Fusion, 2024)

Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. - Qiang Lu 006; Xia Sun; Yunfei Long; Zhizezhang Gao; Jun Feng 003; Tao Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Breast tumor segmentation via deep correlation analysis of multi-sequence MRI. - Hongyu Wang 007; Tonghui Wang; Yanfang Hao; Songtao Ding; Jun Feng 003 (Medical Biol. Eng. Comput., 2024)

Towards a Quantitative Competency Model for CS1 via Five-Channel Learning Sequences. - Zhizezhang Gao; Can Cui; Haochen Yan; Jiaqi Liu; Xia Sun; Jun Feng 003 (SIGCSE (1), 2025)

A survey on aspect sentiment triplet extraction methods and challenges. - Wang Zou; Xia Sun; Xiaodi Zhao; Jun Feng 003; Yunfei Long; Yaqiong Xing (Comput. Sci. Rev., 2025)

Multimodal dual perception fusion framework for multimodal affective analysis. - Qiang Lu 006; Xia Sun; Yunfei Long; Xiaodi Zhao; Wang Zou; Jun Feng 003; Xuxin Wang (Inf. Fusion, 2025)

Context-enhanced framework for medical image report generation using multimodal contexts. - Hongzhao Li; Hongyu Wang 007; Xia Sun; Hua He; Jun Feng 003 (Knowl. Based Syst., 2025)

HELPNet: Hierarchical perturbations consistency and entropy-guided ensemble for scribble supervised medical image segmentation. - Xiao Zhang 028; Shaoxuan Wu; Peilin Zhang; Zhuo Jin; Xiaosong Xiong; Qirong Bu; Jingkun Chen; Jun Feng 003 (Medical Image Anal., 2025)

A vision and language hierarchical alignment for multimodal aspect-based sentiment analysis. - Wang Zou; Xia Sun; Qiang Lu 006; Xuxin Wang; Jun Feng 003 (Pattern Recognit., 2025)

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images. - Yuxin Kang; Hansheng Li; Xiaoshuang Shi; Xiao Zhang 028; Yaqiong Xing; Yuting Wen; Yi Wang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (IEEE Trans. Medical Imaging, 2025)

TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation. - Peilin Zhang; Shaouxan Wua; Jun Feng 003; Zhuo Jin; Zhizezhang Gao; Jingkun Chen; Yaqiong Xing; Xiao Zhang 028 (CoRR, 2025)

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation. - Xiao Zhang 028; Zhuo Jin; Shaoxuan Wu; Fengyu Wang; Guansheng Peng; Xiang Zhang; Ying Huang; Jingkun Chen; Jun Feng 003 (CoRR, 2025)