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Jun Feng 0003
Person information
- affiliation: Northwest University, Department of Information Science and Technology, Xi'an, China
- affiliation (PhD 2006): City University of Hong Kong
Other persons with the same name
- Jun Feng — disambiguation page
- Jun Feng 0001
— Hohai University, College of Computer and Information Engineering, Nanjing, China (and 1 more)
- Jun Feng 0002
— Chengdu University of Technology, Geomathematics Key Lab of Sichuan Province, China (and 1 more)
- Jun Feng 0004
— Kyung Hee University, Department of Mechanical Engineering, Yongin, South Korea
- Jun Feng 0005
— Southwest Jiaotong University, School of Civil Engineering, Chengdu, China
- Jun Feng 0007
— Huazhong University of Science and Technology, Department of Computer Science and Technology, Wuhan, China
- Jun Feng 0008
— Hong Kong University of Science and Technology
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2020 – today
- 2024
- [j59]Yan Zhao, Jiahui Deng, Feihong Liu, Wen Tang, Jun Feng:
GO: A two-step generative optimization method for point cloud registration. Comput. Graph. 119: 103904 (2024) - [j58]Hongyu Wang
, Dandan Zhang, Jun Feng, Lucia Cascone
, Michele Nappi, Shaohua Wan
:
A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets. Inf. Fusion 102: 102016 (2024) - [j57]Qiang Lu
, Yunfei Long, Xia Sun
, Jun Feng, Hao Zhang:
Fact-sentiment incongruity combination network for multimodal sarcasm detection. Inf. Fusion 104: 102203 (2024) - [j56]Qiang Lu
, Xia Sun
, Zhizezhang Gao
, Yunfei Long, Jun Feng, Hao Zhang:
Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis. Inf. Process. Manag. 61(1): 103538 (2024) - [j55]Xiao Zhang
, Kaicong Sun
, Dijia Wu, Xiaosong Xiong
, Jiameng Liu, Linlin Yao
, Shufang Li
, Yining Wang, Jun Feng
, Dinggang Shen
:
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Trans. Medical Imaging 43(2): 723-733 (2024) - [c75]Zhizezhang Gao
, Haochen Yan
, Yuheng Wu
, Can Cui
, Yingzhi Zhang
, Jun Feng
:
Exploring Relations between Programming Learning Trajectories and Students' Majors. ACM TUR-C 2024 - [c74]Jiaqi Xing
, Kaixuan Li
, Yuheng Wu
, Zhizezhang Gao
, Xingyu Liu
, Xia Sun
, Jun Feng
:
Convolution Attentive Knowledge Tracing with comprehensive behavioral features. ACM TUR-C 2024 - [i12]Hongzhao Li, Hongyu Wang, Xia Sun, Hua He, Jun Feng:
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM. CoRR abs/2404.11209 (2024) - [i11]Shaoxuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li, Jun Feng:
Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image. CoRR abs/2406.14050 (2024) - 2023
- [j54]Tonghui Wang
, Hongyu Wang
, Jiahui Deng
, Dandan Zhang, Jun Feng, Bao-ying Chen:
Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences. Biomed. Signal Process. Control. 82: 104536 (2023) - [j53]Dandan Zhang, Hongyu Wang, Jiahui Deng
, Tonghui Wang, Cong Shen, Jun Feng:
CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays. Comput. Biol. Medicine 156: 106702 (2023) - [j52]Hongyu Wang, Ying Li, Songtao Ding, Xiaoying Pan, Zhanyi Gao, Shaohua Wan, Jun Feng:
Adaptive denoising for magnetic resonance image based on nonlocal structural similarity and low-rank sparse representation. Clust. Comput. 26(5): 2933-2946 (2023) - [j51]Feihong Liu
, Junwei Yang
, Mingyue Feng
, Zhiming Cui, Xiaowei He
, Luping Zhou
, Jun Feng
, Dinggang Shen
:
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? Comput. Medical Imaging Graph. 103: 102160 (2023) - [j50]Hongyu Wang
, Dandan Zhang, Songtao Ding, Zhanyi Gao, Jun Feng, Shaohua Wan
:
Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network. Neural Comput. Appl. 35(16): 11583-11597 (2023) - [j49]Xia Sun, Bo Li, Richard F. E. Sutcliffe
, Zhizezhang Gao
, Wenying Kang, Jun Feng
:
Wse-MF: A weighting-based student exercise matrix factorization model. Pattern Recognit. 138: 109285 (2023) - [j48]Dekui Wang
, Jun Feng
, Wei Zhou
, Xingxing Hao
, Xiaodan Zhang:
FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 887-899 (2023) - [j47]Dekui Wang
, Jun Feng
, Ke Liu
, Wei Zhou
, Xingxing Hao
, Xiaodan Zhang:
A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3868-3880 (2023) - [c73]Zhengyang Xu, XiangLong Du, Yuxin Kang, Hong Lv, Ming Li, Wentao Yang, Lei Cui, Hansheng Li, Yaqiong Xing, Jun Feng, Lin Yang:
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images. BIBM 2023: 1588-1595 - [c72]Ke Liu, Jingzhao Hu, Jun Feng:
Speech Emotion Recognition Based on Low-Level Auto-Extracted Time-Frequency Features. ICASSP 2023: 1-5 - [c71]Ke Liu, Dongya Wu, Dekui Wang, Jun Feng:
Speech Emotion Recognition via Heterogeneous Feature Learning. ICASSP 2023: 1-5 - [c70]Ke Liu, Dekui Wang, Dongya Wu, Jun Feng:
Speech Emotion Recognition Via Two-Stream Pooling Attention With Discriminative Channel Weighting. ICASSP 2023: 1-5 - [c69]Yuxin Yang, Xia Sun, Qiang Lu, Richard F. E. Sutcliffe, Jun Feng:
A Sentiment and Syntactic-Aware Graph Convolutional Network for Aspect-Level Sentiment Classification. ICASSP 2023: 1-5 - [c68]Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang:
Improving Chinese Spelling Correction by Ranking. IJCNN 2023: 1-6 - [c67]Dongqing Hu, Hansheng Li, Yuxin Kang, Jiayu Luo, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images. ISBI 2023: 1-5 - [c66]Pengyu Niu, Boting Qu, Jun Feng, Xin Wang:
Utilization of Spatio-Temporal and Social Information for POI Group Recommendation. MDM 2023: 30-35 - [c65]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:
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) 2023: 539-548 - [c64]Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen:
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. MICCAI (7) 2023: 791-801 - [c63]Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen:
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) 2023: 33-42 - [i10]Ephrem Afele Retta, Richard F. E. Sutcliffe, Jabar Mahmood, Michael Abebe Berwo, Eiad Almekhlafi, Sajjad Ahmed Khan, Shehzad Ashraf Chaudhry, Mustafa Mhamed, Jun Feng:
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages. CoRR abs/2307.10814 (2023) - 2022
- [j46]Xin Lu
, Yao Deng
, Ting Sun
, Yi Gao, Jun Feng
, Xia Sun
, Richard F. E. Sutcliffe
:
MKPM: Multi keyword-pair matching for natural language sentences. Appl. Intell. 52(2): 1878-1892 (2022) - [j45]Jingzhao Hu, Hao Zhang, Yang Liu, Richard F. E. Sutcliffe, Jun Feng:
BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples. Appl. Intell. 52(6): 6723-6738 (2022) - [j44]Xiaoxi Zhang, Yuan Gao
, Xin Wang
, Jun Feng
, Yan Shi:
GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification. ISPRS Int. J. Geo Inf. 11(5): 290 (2022) - [j43]Haider Ali, Imran Ul Haq, Lei Cui, Jun Feng:
MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network. BMC Medical Informatics Decis. Mak. 22(1): 90 (2022) - [j42]Qirong Bu
, Gang Yang, Xingxia Ming, Tuo Zhang, Jun Feng, Jing Zhang:
Deep transfer learning for gesture recognition with WiFi signals. Pers. Ubiquitous Comput. 26(3): 543-554 (2022) - [j41]Qirong Bu, Xingxia Ming, Jingzhao Hu, Tuo Zhang, Jun Feng, Jing Zhang:
TransferSense: towards environment independent and one-shot wifi sensing. Pers. Ubiquitous Comput. 26(3): 555-573 (2022) - [j40]Ke Liu
, Dekui Wang
, Dongya Wu, Yutao Liu, Jun Feng
:
Speech Emotion Recognition via Multi-Level Attention Network. IEEE Signal Process. Lett. 29: 2278-2282 (2022) - [j39]Hansheng Li, Jianping Li
, Yuxin Kang, Chunbao Wang, Feihong Liu
, Wenli Hui, Qirong Bo, Lei Cui, Jun Feng
, Lin Yang:
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 267-274 (2022) - [j38]Xia Sun
, Xu Zhao
, Bo Li, Yuan Ma, Richard F. E. Sutcliffe
, Jun Feng
:
Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing. IEEE Trans. Cybern. 52(8): 8239-8245 (2022) - [j37]Boting Qu
, Xinyu Ren, Jun Feng
, Xin Wang
:
A Dynamic Ridesplitting Method With Potential Pick-Up Probability Based on GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23(8): 10786-10802 (2022) - [j36]Boting Qu
, Linran Mao, Zhenzhou Xu, Jun Feng
, Xin Wang
:
How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing. IEEE Trans. Intell. Transp. Syst. 23(9): 14594-14607 (2022) - [c62]Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. BIBM 2022: 450-456 - [c61]Xuan Zhao, Yuxin Kang, Hansheng Li, Jiayu Luo, Lei Cui, Jun Feng, Lin Yang:
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation. BIBM 2022: 891-896 - [c60]Boting Qu, Mengjiao Zhao, Jun Feng, Xin Wang:
ASRL: An Adaptive GPS Sampling Method Using Deep Reinforcement Learning. MDM 2022: 153-158 - [c59]Xiao Zhang
, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen:
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) 2022: 391-400 - [c58]Ke Liu
, Chen Wang
, Jiayue Chen
, Jun Feng
:
Time-Frequency Attention for Speech Emotion Recognition with Squeeze-and-Excitation Blocks. MMM (1) 2022: 533-543 - [i9]Ephrem A. Retta, Eiad Almekhlafi, Richard F. E. Sutcliffe, Mustafa Mhamed, Haider Ali, Jun Feng:
A New Amharic Speech Emotion Dataset and Classification Benchmark. CoRR abs/2201.02710 (2022) - [i8]Ephrem A. Retta, Richard F. E. Sutcliffe, Eiad Almekhlafi, Yosef K. Enku, Eyob Alemu, Tigist D. Gemechu, Michael Abebe Berwo, Mustafa Mhamed, Jun Feng:
Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark. CoRR abs/2201.08448 (2022) - [i7]Mustafa Mhamed, Richard F. E. Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi, Ephrem A. Retta:
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets. CoRR abs/2201.12664 (2022) - [i6]Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation. CoRR abs/2205.02845 (2022) - 2021
- [j35]Xia Xue
, Yi Gao, Meng Liu, Xia Sun, Wenyu Zhang, Jun Feng:
GRU-based capsule network with an improved loss for personnel performance prediction. Appl. Intell. 51(7): 4730-4743 (2021) - [j34]Xia Xue
, Jun Feng, Xia Sun:
Semantic-enhanced sequential modeling for personality trait recognition from texts. Appl. Intell. 51(11): 7705-7717 (2021) - [j33]Hongyu Wang
, Jiaqi Cao, Jun Feng, Yilin Xie, Di Yang, Bao-ying Chen:
Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI. Biomed. Signal Process. Control. 68: 102607 (2021) - [j32]Mustafa Mhamed
, Richard F. E. Sutcliffe, Xia Sun, Jun Feng
, Eiad Almekhlafi
, Ephrem Afele Retta
:
Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing. Comput. Intell. Neurosci. 2021: 5538791:1-5538791:12 (2021) - [j31]Qirong Bu, Kang Ma, Rui Wang, Tuo Zhang, Jun Feng:
Salient object detection via light-weight multi-path cascaded networks. Neurocomputing 453: 656-666 (2021) - [j30]Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Richard F. E. Sutcliffe, Jun Feng:
ScalingNet: Extracting features from raw EEG data for emotion recognition. Neurocomputing 463: 177-184 (2021) - [j29]Feihong Liu
, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021) - [j28]Hongyu Wang
, Cong Gao, Jun Feng, Xiaoying Pan, Di Yang, Bao-ying Chen:
DCE-MRI interpolation using learned transformations for breast lesions classification. Multim. Tools Appl. 80(17): 26237-26254 (2021) - [j27]Yang Liu, Bo Jiang, Jun Feng, Jingzhao Hu, Haibo Zhang:
Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP. Multim. Tools Appl. 80(20): 30261-30282 (2021) - [j26]Xia Sun
, Yi Gao
, Richard F. E. Sutcliffe
, Shou Xi Guo
, Xin Wang
, Jun Feng
:
Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4532-4542 (2021) - [c57]Hansheng Li, Yuxin Kang, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang, Wentao Yang:
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues. BIBM 2021: 1396-1401 - [c56]Yuxin Kang, Hansheng Li, Zhuoyue Wu, Feihong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang:
Boosting Boundary Representation for Gland Instance Segmentation. BIBM 2021: 1749-1756 - [c55]Rui Wang, Jun Feng, Qirong Bu:
Fashion Landmark Detection via Deep Residual Spatial Attention Network. ICTAI 2021: 745-752 - [c54]Chen Wang
, Jingzhao Hu
, Ke Liu
, Qiaomei Jia
, Jiayue Chen
, Kun Yang
, Jun Feng
:
EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features. ISBRA 2021: 460-470 - [c53]Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang:
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. MLMI@MICCAI 2021: 40-49 - [c52]Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen:
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. MLMI@MICCAI 2021: 507-516 - [c51]Xiao Zhang
, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen:
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. MLMI@MICCAI 2021: 576-585 - [c50]Lijian Wei, Jun Feng, Yufei Liu, Tuo Zhang, Qirong Bu, Baoying Liu:
A Dense Margin Network for Human Activity Recognition Based on Augmented Channel State Information. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 67-74 - [i5]Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng:
Lookup subnet based Spatial Graph Convolutional neural Network. CoRR abs/2102.02588 (2021) - [i4]Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng:
ScalingNet: extracting features from raw EEG data for emotion recognition. CoRR abs/2105.13987 (2021) - [i3]Feihong Liu
, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? CoRR abs/2106.06992 (2021) - 2020
- [j25]Lei Cui, Hansheng Li, Wenli Hui, Sitong Chen, Lin Yang, Yuxin Kang, Qirong Bo, Jun Feng
:
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. BMC Bioinform. 21(1): 112 (2020) - [j24]Feihong Liu
, Xiao Zhang
, Hongyu Wang
, Jun Feng
:
Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy. Entropy 22(1): 20 (2020) - [j23]Yuan Gao
, Longfei Huang, Jun Feng, Xin Wang:
Semantic trajectory segmentation based on change-point detection and ontology. Int. J. Geogr. Inf. Sci. 34(12): 2361-2394 (2020) - [j22]Qirong Bu, Kai Zeng, Rui Wang, Jun Feng:
Multi-depth dilated network for fashion landmark detection with batch-level online hard keypoint mining. Image Vis. Comput. 99: 103930 (2020) - [j21]Yi Gao, Xia Sun, Xin Wang, Shou Xi Guo, Jun Feng:
A parallel neural network structure for sentiment classification of MOOCs discussion forums. J. Intell. Fuzzy Syst. 38(4): 4915-4927 (2020) - [j20]Jing Chen, Jun Feng, Xia Sun
, Yang Liu:
Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts. Symmetry 12(1): 8 (2020) - [c49]Xiaoyu Wang, Lei Zhang, Qirong Bo, Jun Feng, Jingzhao Hu, Yuxin Kang, Jing Zhang:
Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss. ICIP 2020: 768-772 - [c48]Zhizhou Duan, Yuan Gao, Jun Feng, Xiaoxi Zhang, Jie Wang:
Personalized tourism route recommendation based on user's active interests*. MDM 2020: 729-734 - [c47]Hongyu Wang
, Jun Feng, Xiaoying Pan, Di Yang, Bao-ying Chen:
High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations. SASHIMI@MICCAI 2020: 50-59 - [c46]Yuxin Kang, Hansheng Li, Xin Han, Boju Pan, Yuan Li, Yan Jin, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy. MLMI@MICCAI 2020: 70-79 - [c45]Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. MICCAI (5) 2020: 320-329 - [c44]Min Zhang, Wenjing Hou, Xiaomin Xu, Lei Zhang, Jun Feng:
Completely Blind Image Quality Assessment with Visual Saliency Modulated Multi-feature Collaboration. PRCV (1) 2020: 671-680 - [c43]Min Zhang, Lei Zhang, Wenjing Hou, Jun Feng:
Blind Image Quality Assessment with Visual Sensitivity Enhanced Dual-Channel Deep Convolutional Neural Network. QoMEX 2020: 1-6
2010 – 2019
- 2019
- [j19]Shou Xi Guo
, Xia Sun, Shixiong Wang, Yi Gao
, Jun Feng
:
Attention-Based Character-Word Hybrid Neural Networks With Semantic and Structural Information for Identifying of Urgent Posts in MOOC Discussion Forums. IEEE Access 7: 120522-120532 (2019) - [j18]Lei Cui, Jun Feng
, Zizhao Zhang, Lin Yang:
High throughput automatic muscle image segmentation using parallel framework. BMC Bioinform. 20(1): 158:1-158:9 (2019) - [j17]Wen Yang
, Xiaoning Liu
, Kegang Wang, Jiabei Hu, Guohua Geng
, Jun Feng
:
Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network. Comput. Math. Methods Medicine 2019: 9163547:1-9163547:8 (2019) - [j16]Xia Sun
, Ke Dong
, Long Ma, Richard F. E. Sutcliffe
, Feijuan He, Su-Shing Chen, Jun Feng
:
Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. Entropy 21(1): 37 (2019) - [j15]Jun Feng, Zeyun Liu
, Hongwei Feng, Richard F. E. Sutcliffe
, Jianni Liu, Jian Han:
A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data. Entropy 21(3): 313 (2019) - [j14]Jing Chen, Jun Feng, Jingzhao Hu, Xia Sun
:
Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information. Entropy 21(11): 1102 (2019) - [j13]Xia Xue
, Jun Feng
, Yi Gao, Meng Liu, Wenyu Zhang, Xia Sun, Aiqi Zhao, Shou Xi Guo:
Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction. Entropy 21(12): 1227 (2019) - [c42]Xia Sun, Xu Zhao, Yuan Ma, Xinrui Yuan, Feijuan He, Jun Feng:
Muti-behavior features based knowledge tracking using decision tree improved DKVMN. ACM TUR-C 2019: 72:1-72:6 - [c41]Nannan Wu, Lei Zhang, Yi Gao, Mingfei Zhang, Xia Sun, Jun Feng:
CLMS-Net: dropout prediction in MOOCs with deep learning. ACM TUR-C 2019: 75:1-75:6 - [c40]Wenying Kang, Lei Zhang, Bo Li, Jing Chen, Xia Sun, Jun Feng:
Personalized exercise recommendation via implicit skills. ACM TUR-C 2019: 77:1-77:6 - [c39]Hongwei Feng, Shuang Li, Dianyuan He, Jun Feng:
A novel feature selection approach based on multiple filters and new separable degree index for credit scoring. ACM TUR-C 2019: 97:1-97:5 - [c38]Yuan Gao, Zhizhou Duan, Weifeng Shi, Jun Feng, Yao-Yi Chiang:
Personalized Recommendation Method of POI Based on Deep Neural Network. BESC 2019: 1-6 - [c37]Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Feihong Liu
, Wenli Hui, Qirong Bo, Chunbao Wang, Lin Yang, Lei Cui:
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis. BIBM 2019: 415-422 - [c36]Mengdi Yan, Hansheng Li, Baosheng Kang, Jun Feng, Yuxin Kang, Tao Zhang, Lin Yang, Lei Cui:
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis. BIBM 2019: 1402-1408 - [c35]Xiaoning Liu, Shanghao Zhao, Shixiong Wang, Yunpeng Jing, Jun Feng:
Reconstructed Face Recognition. CCBR 2019: 223-230 - [c34]Shanghao Zhao, Xiaoning Liu, Shixiong Wang, Yunpeng Jing, Jun Feng:
Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning. CCBR 2019: 250-257 - [c33]Zeng Kai, Jun Feng, Richard F. E. Sutcliffe, Xiaoyu Wang, Qirong Bu
:
Multi-depth Dilated Network for Fashion Landmark Detection. ICME Workshops 2019: 60-65 - [c32]Mengsong Wang, Hansheng Li, Yifan Wu, Qirong Bu
, Jun Feng:
Diagnostic Classification of Pulmonary Nodules Using a Multi-scale and Multi-input DenseNet. IGTA 2019: 553-564 - [c31]Feihong Liu, Jun Feng, Geng Chen, Ye Wu
, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI 2019: 88-95 - [c30]Kang Ma, Jun Feng, Tuo Zhang, Rui Wang, Qirong Bu
:
Salient Object Detection via Light-Weight Multi-path Refinement Networks. PRCV (1) 2019: 272-283 - [i2]Feihong Liu
, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR abs/1906.03051 (2019) - [i1]Feihong Liu
, Jun Feng, Pew-Thian Yap, Dinggang Shen:
Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. CoRR abs/1908.06307 (2019) - 2018
- [j12]Hongyu Wang
, Jun Feng
, Zizhao Zhang
, Hai Su, Lei Cui, Hua He, Li Liu:
Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognit. 80: 42-52 (2018) - [c29]Xia Sun, Jun Feng, Long Ma, Ke Dong, Xiaodong Du:
Deep Convolution Neural Networks for Drug-Drug Interaction Extraction. BIBM 2018: 1662-1668 - [c28]Xiaoning Liu, FangFang Qiao, Shixiong Wang, Jun Feng, Shanghao Zhao, Wen Yang:
Skull Gender Identification Based on Skull Contour and Convolutional Neural Network. BIBM 2018: 2269-2273 - [c27]Lei Cui, Jun Feng, Lin Yang:
Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification. BIBM 2018: 2333-2337 - [c26]Qirong Bo
, Wenwen Yang, Nabin Rijal, Yilin Xie, Jun Feng, Jing Zhang:
Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features. ICIP 2018: 3433-3437 - [c25]Yifan Wu, Weifeng Shi, Lei Cui, Hongyu Wang, Qirong Bu
, Jun Feng:
Automatic Mass Detection from Mammograms with Region-Based Convolutional Neural Network. IGTA 2018: 442-450 - [c24]Wenwen Yang, Jun Feng, Qirong Bo, Yixuan Yang, Bo Jiang:
A Shallow ResNet with Layer Enhancement for Image-Based Particle Pollution Estimation. PRCV (2) 2018: 381-391 - [c23]Qirong Bu
, Gang Yang, Jun Feng, Xingxia Ming:
Wi-Fi Based Gesture Recognition Using Deep Transfer Learning. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 590-595 - 2017
- [j11]Rui Chen
, Qingyi Hua, Xiang Ji, Yun Liu
, Hongyu Wang, Juanni Li, Jianxin Liu, Jun Feng:
An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis. IEEE Access 5: 23413-23424 (2017) - [j10]Xia Sun, Jiarong Wang, Jun Feng, Su-Shing Chen, Feijuan He:
Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints. Neural Comput. Appl. 28(S-1): 1233-1243 (2017) - [c22]Hongwei Feng, Fang Xiao, Qirong Bu
, Feihong Liu
, Lei Cui, Jun Feng:
An Accelerated Superpixel Generation Algorithm Based on 4-Labeled-Neighbors. CCCV (1) 2017: 539-550 - [c21]Feihong Liu
, Jun Feng, Wenhuo Su, Zhaohui Lv, Fang Xiao, Shi Qiu:
Normalized Euclidean Super-Pixels for Medical Image Segmentation. ICIC (3) 2017: 586-597 - 2016
- [j9]Xia Sun, Jingting Xu, Changmeng Jiang, Jun Feng, Su-Shing Chen, Feijuan He:
Extreme Learning Machine for Multi-Label Classification. Entropy 18(6): 225 (2016) - [c20]Xiaoxu Han, Hongwei Feng, Qirong Bu
, Jun Feng, Xiaoning Liu:
Image dehazing base on two-peak channel prior. ICIP 2016: 2236-2240 - 2015
- [c19]Jie Si, Jun Feng, Qirong Bu
, Xiaohu Sun, Xiaowei He, Shi Qiu:
Age Estimation Based on Canonical Correlation Analysis and Extreme Learning Machine. CCBR 2015: 677-685 - [c18]Pan Li, Jun Feng, Qirong Bu
, Feihong Liu
, Hongyu Wang:
Multi-object Segmentation for Abdominal CT Image Based on Visual Patch Classification. CCCV (2) 2015: 130-138 - 2014
- [j8]Xia Sun, Xuebin Xu, Jiarong Wang, Jun Feng, Su-Shing Chen:
Classifying Lung Cancer Knowledge in PubMed According to GO Terms Using Extreme Learning Machine. Int. J. Intell. Syst. 29(11): 1047-1059 (2014) - [c17]Jiarong Wang, Jun Feng, Xia Sun, Su-Shing Chen, Bo Chen:
Simplified Constraints Rank-SVM for Multi-label Classification. CCPR (1) 2014: 229-236 - 2012
- [j7]Peng Du, Horace Ho-Shing Ip
, Bei Hua, Jun Feng:
Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model. Vis. Comput. 28(5): 493-509 (2012) - [c16]Shaoyin Wang, Jun Feng, Xinlong Tong, Hui Liu, Xiaowei He:
Automated abnormality detection of craniomaxillofacial based on Statistical Deformable Models. BHI 2012: 519-522 - [c15]Su-Yang An, Jun Feng, Zhan Li, Yan-Yan Han, Qiu-Ping Wang, Xiaowei He:
Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning. CCPR 2012: 413-421
2000 – 2009
- 2009
- [j6]Jun Feng, Horace Ho-Shing Ip
:
A statistical assembled deformable model (SAMTUS) for vasculature reconstruction. Comput. Biol. Medicine 39(6): 489-500 (2009) - [j5]Qizhen He, Jun Feng, Horace Ho-Shing Ip
, James J. Xia, Xianbin Cao:
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. Int. J. Funct. Informatics Pers. Medicine 2(2): 217-230 (2009) - [j4]Jun Feng, Horace Ho-Shing Ip
:
A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction. Pattern Recognit. 42(7): 1543-1558 (2009) - [j3]Qizhen He, Horace Ho-Shing Ip
, Jun Feng, Xianbin Cao:
Mr-SDM: a novel statistical deformable model for object deformation. Vis. Comput. 25(5-7): 609-616 (2009) - [c14]Peng Du, Horace Ho-Shing Ip
, Jun Feng, Bei Hua:
Segmenting deformable soft-body meshes based on statistical variation information for piecewise Active Shape Model. CAD/Graphics 2009: 223-226 - [c13]Qizhen He, Jun Feng, Horace Ho-Shing Ip
:
3D object retrieval based on visual keywords using Relative Angle Context Distribution. WIAMIS 2009: 246-249 - 2008
- [j2]Jun Feng, Horace Ho-Shing Ip
, Lap Yi Lai, Alf D. Linney:
Robust point correspondence matching and similarity measuring for 3D models by relative angle-context distributions. Image Vis. Comput. 26(6): 761-775 (2008) - [c12]Tian-Tian Chang, Jun Feng, Hong-Wei Liu, Horace Ho-Shing Ip:
Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM). ICPR 2008: 1-4 - [c11]Qizhen He, Jun Feng, Horace Ho-Shing Ip
, James J. Xia, Xianbin Cao:
An Integration of Statistical Deformable Model and Finite Element Method for Bone-Related Soft Tissue Prediction in Orthognathic Surgery Planning. MIAR 2008: 31-39 - [c10]Jun Feng, Peng Du, Horace Ho-Shing Ip
:
Statistical Piecewise Assembled Model (SPAM) for the Representation of Highly Deformable Medical Organs. MIAR 2008: 168-176 - 2006
- [c9]Jun Feng, Horace Ho-Shing Ip
:
MISTO: A Multi-Resolution Deformable Model for Segmentation of Soft-Tissue Organs. ICIP 2006: 1909-1912 - [c8]Jun Feng, Horace Ho-Shing Ip
:
A Statistical Assembled Model for Segmentation of Entire 3D Vasculature. ICPR (4) 2006: 95-98 - 2005
- [j1]Jun Feng, Shuk Han Cheng
, Po K. Chan, Horace Ho-Shing Ip
:
Reconstruction and representation of caudal vasculature of zebrafish embryo from confocal scanning laser fluorescence microscopic images. Comput. Biol. Medicine 35(10): 915-931 (2005) - [c7]Jun Feng, Horace Ho-Shing Ip:
Chi-Square Goodness-of-Fit Test of 3D Point Correspondence for Model Similarity Measure and Analysis. CIVR 2005: 445-453 - [c6]Jun Feng, Horace Ho-Shing Ip:
Iterative 3D Point-Set Registration Based on Hierarchical Vertex Signature (HVS). MICCAI (2) 2005: 279-286 - 2004
- [c5]Judy Jun Feng, Horace H. S. Ip
, Shuk Han Cheng
:
Adaptive thresholding image series from fluorescence confocal scanning laser microscope using orientation intensity profiles. Medical Imaging: Image Processing 2004 - [c4]Jun Feng, Horace Ho-Shing Ip
, Shuk Han Cheng
:
A 3D Geometric Deformable Model for Tubular Structure Segmentation. MMM 2004: 174-180 - 2002
- [c3]Horace Ho-Shing Ip, Judy Jun Feng, Shuk Han Cheng
:
Three-Dimensional Enhancement of Confocal Scanning Laser Fluorescence Microscope Images for Vascular Reconstruction. ICPR (3) 2002: 863-866 - [c2]Horace Ho-Shing Ip
, Judy Jun Feng, Shuk Han Cheng
:
Automatic segmentation and tracking of vasculature from confocal scanning laser fluorescence microscope using multi-orientation dissections. ISBI 2002: 249-252 - 2001
- [c1]Horace Ho-Shing Ip, Angus K. Y. Cheng, William Y. F. Wong, Jun Feng:
Affine-Invariant Sketch-Based Retrieval of Images. Computer Graphics International 2001: 55-61
Coauthor Index
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