Jun Feng

According to our database, Jun Feng authored at least 113 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fact-sentiment incongruity combination network for multimodal sarcasm detection.

Qiang Lu, Yunfei Long, Xia Sun, Jun Feng, Hao Zhang

Inf. Fusion, April, 2024

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.

Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen

IEEE Trans. Medical Imaging, February, 2024

Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis.

Qiang Lu, Xia Sun, Zhizezhang Gao, Yunfei Long, Jun Feng, Hao Zhang

Inf. Process. Manag., January, 2024

2023

A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm.

Dekui Wang, Jun Feng, Ke Liu, Wei Zhou, Xingxing Hao, Xiaodan Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 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

Pattern Recognit., June, 2023

FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm.

Dekui Wang, Jun Feng, Wei Zhou, Xingxing Hao, Xiaodan Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 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

CoRR, 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, Dinggang Shen

Comput. Medical Imaging Graph., 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, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases.

Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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, Jun Feng, Wentao Yang, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Utilization of Spatio-Temporal and Social Information for POI Group Recommendation.

Pengyu Niu, Boting Qu, Jun Feng, Xin Wang

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 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, Jun Feng, Lin Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Improving Chinese Spelling Correction by Ranking.

Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang

Proceedings of the International Joint Conference on Neural Networks, 2023

A Sentiment and Syntactic-Aware Graph Convolutional Network for Aspect-Level Sentiment Classification.

Yuxin Yang, Xia Sun, Qiang Lu, Richard F. E. Sutcliffe, Jun Feng

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Emotion Recognition Via Two-Stream Pooling Attention With Discriminative Channel Weighting.

Ke Liu, Dekui Wang, Dongya Wu, Jun Feng

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Emotion Recognition via Heterogeneous Feature Learning.

Ke Liu, Dongya Wu, Dekui Wang, Jun Feng

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features.

Ke Liu, Jingzhao Hu, Jun Feng

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Dynamic Ridesplitting Method With Potential Pick-Up Probability Based on GPS Trajectories.

Boting Qu, Xinyu Ren, Jun Feng, Xin Wang

IEEE Trans. Intell. Transp. Syst., 2022

How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing.

Boting Qu, Linran Mao, Zhenzhou Xu, Jun Feng, Xin Wang

IEEE Trans. Intell. Transp. Syst., 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

IEEE Trans. Cybern., 2022

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.

Hansheng Li, Jianping Li, Yuxin Kang, Chunbao Wang, Feihong Liu, Wenli Hui, Qirong Bo, Lei Cui, Jun Feng, Lin Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Speech Emotion Recognition via Multi-Level Attention Network.

Ke Liu, Dekui Wang, Dongya Wu, Yutao Liu, Jun Feng

IEEE Signal Process. Lett., 2022

Deep transfer learning for gesture recognition with WiFi signals.

Qirong Bu, Gang Yang, Xingxia Ming, Tuo Zhang, Jun Feng, Jing Zhang

Pers. Ubiquitous Comput., 2022

TransferSense: towards environment independent and one-shot wifi sensing.

Qirong Bu, Xingxia Ming, Jingzhao Hu, Tuo Zhang, Jun Feng, Jing Zhang

Pers. Ubiquitous Comput., 2022

MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network.

Haider Ali, Imran Ul Haq, Lei Cui, Jun Feng

BMC Medical Informatics Decis. Mak., 2022

GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification.

Xiaoxi Zhang, Yuan Gao, Xin Wang, Jun Feng, Yan Shi

ISPRS Int. J. Geo Inf., 2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.

Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang

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, Eiad Almekhlafi, Ephrem A. Retta

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

CoRR, 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

CoRR, 2022

MKPM: Multi keyword-pair matching for natural language sentences.

Xin Lu, Yao Deng, Ting Sun, Yi Gao, Jun Feng, Xia Sun, Richard F. E. Sutcliffe

Appl. Intell., 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

Appl. Intell., 2022

Time-Frequency Attention for Speech Emotion Recognition with Squeeze-and-Excitation Blocks.

Ke Liu, Chen Wang, Jiayue Chen, Jun Feng

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.

Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ASRL: An Adaptive GPS Sampling Method Using Deep Reinforcement Learning.

Boting Qu, Mengjiao Zhao, Jun Feng, Xin Wang

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation.

Xuan Zhao, Yuxin Kang, Hansheng Li, Jiayu Luo, Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification.

Xia Sun, Yi Gao, Richard F. E. Sutcliffe, Shou Xi Guo, Xin Wang, Jun Feng

IEEE Trans. Syst. Man Cybern. Syst., 2021

DCE-MRI interpolation using learned transformations for breast lesions classification.

Hongyu Wang, Cong Gao, Jun Feng, Xiaoying Pan, Di Yang, Bao-ying Chen

Multim. Tools Appl., 2021

Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP.

Yang Liu, Bo Jiang, Jun Feng, Jingzhao Hu, Haibo Zhang

Multim. Tools Appl., 2021

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering.

Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2021

ScalingNet: Extracting features from raw EEG data for emotion recognition.

Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Richard F. E. Sutcliffe, Jun Feng

Neurocomputing, 2021

Salient object detection via light-weight multi-path cascaded networks.

Qirong Bu, Kang Ma, Rui Wang, Tuo Zhang, Jun Feng

Neurocomputing, 2021

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?

Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen

CoRR, 2021

ScalingNet: extracting features from raw EEG data for emotion recognition.

Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng

CoRR, 2021

Lookup subnet based Spatial Graph Convolutional neural Network.

Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng

CoRR, 2021

Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing.

Mustafa Mhamed, Richard F. E. Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi, Ephrem Afele Retta

Comput. Intell. Neurosci., 2021

Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI.

Hongyu Wang, Jiaqi Cao, Jun Feng, Yilin Xie, Di Yang, Bao-ying Chen

Biomed. Signal Process. Control., 2021

GRU-based capsule network with an improved loss for personnel performance prediction.

Xia Xue, Yi Gao, Meng Liu, Xia Sun, Wenyu Zhang, Jun Feng

Appl. Intell., 2021

Semantic-enhanced sequential modeling for personality trait recognition from texts.

Xia Xue, Jun Feng, Xia Sun

Appl. Intell., 2021

A Dense Margin Network for Human Activity Recognition Based on Augmented Channel State Information.

Lijian Wei, Jun Feng, Yufei Liu, Tuo Zhang, Qirong Bu, Baoying Liu

Proceedings of the 2021 IEEE SmartWorld, 2021

CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries.

Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.

Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Morphology-Guided Prostate MRI Segmentation with Multi-slice Association.

Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features.

Chen Wang, Jingzhao Hu, Ke Liu, Qiaomei Jia, Jiayue Chen, Kun Yang, Jun Feng

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Fashion Landmark Detection via Deep Residual Spatial Attention Network.

Rui Wang, Jun Feng, Qirong Bu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.

Hansheng Li, Yuxin Kang, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang, Wentao Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Boosting Boundary Representation for Gland Instance Segmentation.

Yuxin Kang, Hansheng Li, Zhuoyue Wu, Feihong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts.

Jing Chen, Jun Feng, Xia Sun, Yang Liu

Symmetry, 2020

A parallel neural network structure for sentiment classification of MOOCs discussion forums.

Yi Gao, Xia Sun, Xin Wang, Shou Xi Guo, Jun Feng

J. Intell. Fuzzy Syst., 2020

Multi-depth dilated network for fashion landmark detection with batch-level online hard keypoint mining.

Qirong Bu, Kai Zeng, Rui Wang, Jun Feng

Image Vis. Comput., 2020

Semantic trajectory segmentation based on change-point detection and ontology.

Yuan Gao, Longfei Huang, Jun Feng, Xin Wang

Int. J. Geogr. Inf. Sci., 2020

Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy.

Feihong Liu, Xiao Zhang, Hongyu Wang, Jun Feng

Entropy, 2020

A deep learning-based framework for lung cancer survival analysis with biomarker interpretation.

Lei Cui, Hansheng Li, Wenli Hui, Sitong Chen, Lin Yang, Yuxin Kang, Qirong Bo, Jun Feng

BMC Bioinform., 2020

Blind Image Quality Assessment with Visual Sensitivity Enhanced Dual-Channel Deep Convolutional Neural Network.

Min Zhang, Lei Zhang, Wenjing Hou, Jun Feng

Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020

Completely Blind Image Quality Assessment with Visual Saliency Modulated Multi-feature Collaboration.

Min Zhang, Wenjing Hou, Xiaomin Xu, Lei Zhang, Jun Feng

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations.

Hongyu Wang, Jun Feng, Xiaoying Pan, Di Yang, Bao-ying Chen

Proceedings of the Simulation and Synthesis in Medical Imaging, 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, Jun Feng, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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, Jun Feng, Lin Yang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Personalized tourism route recommendation based on user's active interests^*.

Zhizhou Duan, Yuan Gao, Jun Feng, Xiaoxi Zhang, Jie Wang

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss.

Xiaoyu Wang, Lei Zhang, Qirong Bo, Jun Feng, Jingzhao Hu, Yuxin Kang, Jing Zhang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction.

Xia Xue, Jun Feng, Yi Gao, Meng Liu, Wenyu Zhang, Xia Sun, Aiqi Zhao, Shou Xi Guo

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

Entropy, 2019

A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data.

Jun Feng, Zeyun Liu, Hongwei Feng, Richard F. E. Sutcliffe, Jianni Liu, Jian Han

Entropy, 2019

Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information.

Jing Chen, Jun Feng, Jingzhao Hu, Xia Sun

Entropy, 2019

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context.

Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen

CoRR, 2019

Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network.

Wen Yang, Xiaoning Liu, Kegang Wang, Jiabei Hu, Guohua Geng, Jun Feng

Comput. Math. Methods Medicine, 2019

High throughput automatic muscle image segmentation using parallel framework.

Lei Cui, Jun Feng, Zizhao Zhang, Lin Yang

BMC Bioinform., 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, Jun Feng

IEEE Access, 2019

Salient Object Detection via Light-Weight Multi-path Refinement Networks.

Kang Ma, Jun Feng, Tuo Zhang, Rui Wang, Qirong Bu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.

Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Diagnostic Classification of Pulmonary Nodules Using a Multi-scale and Multi-input DenseNet.

Mengsong Wang, Hansheng Li, Yifan Wu, Qirong Bu, Jun Feng

Proceedings of the Image and Graphics Technologies and Applications, 2019

Multi-depth Dilated Network for Fashion Landmark Detection.

Zeng Kai, Jun Feng, Richard F. E. Sutcliffe, Xiaoyu Wang, Qirong Bu

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning.

Shanghao Zhao, Xiaoning Liu, Shixiong Wang, Yunpeng Jing, Jun Feng

Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019

Reconstructed Face Recognition.

Xiaoning Liu, Shanghao Zhao, Shixiong Wang, Yunpeng Jing, Jun Feng

Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019

$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis.

Mengdi Yan, Hansheng Li, Baosheng Kang, Jun Feng, Yuxin Kang, Tao Zhang, Lin Yang, Lei Cui

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.

Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Feihong Liu, Wenli Hui, Qirong Bo, Chunbao Wang, Lin Yang, Lei Cui

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Personalized Recommendation Method of POI Based on Deep Neural Network.

Yuan Gao, Zhizhou Duan, Weifeng Shi, Jun Feng, Yao-Yi Chiang

Proceedings of the 6th International Conference on Behavioral, 2019

CLMS-Net: dropout prediction in MOOCs with deep learning.

Nannan Wu, Lei Zhang, Yi Gao, Mingfei Zhang, Xia Sun, Jun Feng

Proceedings of the ACM Turing Celebration Conference - China, 2019

Muti-behavior features based knowledge tracking using decision tree improved DKVMN.

Xia Sun, Xu Zhao, Yuan Ma, Xinrui Yuan, Feijuan He, Jun Feng

Proceedings of the ACM Turing Celebration Conference - China, 2019

Personalized exercise recommendation via implicit skills.

Wenying Kang, Lei Zhang, Bo Li, Jing Chen, Xia Sun, Jun Feng

Proceedings of the ACM Turing Celebration Conference - China, 2019

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

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Breast mass classification via deeply integrating the contextual information from multi-view data.

Hongyu Wang, Jun Feng, Zizhao Zhang, Hai Su, Lei Cui, Hua He, Li Liu

Pattern Recognit., 2018

Wi-Fi Based Gesture Recognition Using Deep Transfer Learning.

Qirong Bu, Gang Yang, Jun Feng, Xingxia Ming

Proceedings of the 2018 IEEE SmartWorld, 2018

A Shallow ResNet with Layer Enhancement for Image-Based Particle Pollution Estimation.

Wenwen Yang, Jun Feng, Qirong Bo, Yixuan Yang, Bo Jiang

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Automatic Mass Detection from Mammograms with Region-Based Convolutional Neural Network.

Yifan Wu, Weifeng Shi, Lei Cui, Hongyu Wang, Qirong Bu, Jun Feng

Proceedings of the Image and Graphics Technologies and Applications, 2018

Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features.

Qirong Bo, Wenwen Yang, Nabin Rijal, Yilin Xie, Jun Feng, Jing Zhang

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Convolution Neural Networks for Drug-Drug Interaction Extraction.

Xia Sun, Jun Feng, Long Ma, Ke Dong, Xiaodong Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Skull Gender Identification Based on Skull Contour and Convolutional Neural Network.

Xiaoning Liu, FangFang Qiao, Shixiong Wang, Jun Feng, Shanghao Zhao, Wen Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification.

Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints.

Xia Sun, Jiarong Wang, Jun Feng, Su-Shing Chen, Feijuan He

Neural Comput. Appl., 2017

An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis.

Rui Chen, Qingyi Hua, Xiang Ji, Yun Liu, Hongyu Wang, Juanni Li, Jianxin Liu, Jun Feng

IEEE Access, 2017

Normalized Euclidean Super-Pixels for Medical Image Segmentation.

Feihong Liu, Jun Feng, Wenhuo Su, Zhaohui Lv, Fang Xiao, Shi Qiu

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

An Accelerated Superpixel Generation Algorithm Based on 4-Labeled-Neighbors.

Hongwei Feng, Fang Xiao, Qirong Bu, Feihong Liu, Lei Cui, Jun Feng

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Extreme Learning Machine for Multi-Label Classification.

Xia Sun, Jingting Xu, Changmeng Jiang, Jun Feng, Su-Shing Chen, Feijuan He

Entropy, 2016

Image dehazing base on two-peak channel prior.

Xiaoxu Han, Hongwei Feng, Qirong Bu, Jun Feng, Xiaoning Liu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Multi-object Segmentation for Abdominal CT Image Based on Visual Patch Classification.

Pan Li, Jun Feng, Qirong Bu, Feihong Liu, Hongyu Wang

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Age Estimation Based on Canonical Correlation Analysis and Extreme Learning Machine.

Jie Si, Jun Feng, Qirong Bu, Xiaohu Sun, Xiaowei He, Shi Qiu

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014

Classifying Lung Cancer Knowledge in PubMed According to GO Terms Using Extreme Learning Machine.

Xia Sun, Xuebin Xu, Jiarong Wang, Jun Feng, Su-Shing Chen

Int. J. Intell. Syst., 2014

Simplified Constraints Rank-SVM for Multi-label Classification.

Jiarong Wang, Jun Feng, Xia Sun, Su-Shing Chen, Bo Chen

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2012

Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning.

Su-Yang An, Jun Feng, Zhan Li, Yan-Yan Han, Qiu-Ping Wang, Xiaowei He

Proceedings of the Pattern Recognition - Chinese Conference, 2012

Automated abnormality detection of craniomaxillofacial based on Statistical Deformable Models.

Shaoyin Wang, Jun Feng, Xinlong Tong, Hui Liu, Xiaowei He

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012