Jingwen Yan

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 84

Top Venues

Publications

Shuhong Liao, Chuanmin Jia, Hongfei Fan, Jingwen Yan, Siwei Ma
Rate-Quality Based Rate Control Model for Neural Video Compression. ICASSP (2024)
Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) (2024)
Bing He, Linhui Xie, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan
Fused multi-modal similarity network as prior in guiding brain imaging genetic association. Frontiers Big Data 6 (2024)
Song Liao, Mohammed Aldeen, Jingwen Yan, Long Cheng, Xiapu Luo, Haipeng Cai, Hongxin Hu
Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces. WWW (2024)
Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang
Learning the irreversible progression trajectory of Alzheimer's disease. CoRR (2024)
Weijian Xu, Jingjin Liu, Jingwen Yan, Juan Yang, Huifen Liu, Teng Zhou
Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction. IEEE Internet Things J. 11 (5) (2024)
Keer Wu, Changhong Xu, Jingwen Yan, Fei Wang, Zhizhe Lin, Teng Zhou
Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Weiliang Huang, Wenxuan He, Shuhong Liao, Zhen Xu, Jingwen Yan
Efficient SpectralFormer for hyperspectral image classification. Digit. Signal Process. 143 (2023)
Shuaiqi Liu, Yingying Zhao, Yanling An, Jie Zhao, Shui-Hua Wang, Jingwen Yan
GLFANet: A global to local feature aggregation network for EEG emotion recognition. Biomed. Signal Process. Control. 85 (2023)
Changhong Xu, Maofang Gao, Jingwen Yan, Yunxiang Jin, Guijun Yang, Wenbin Wu
MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images. Comput. Electron. Agric. 212 (2023)
Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. Neurocomputing 526 (2023)
Dongbin Yin, Baizhong Zhang, Jingwen Yan, Yu Luo, Teng Zhou, Jing Qin
CoWNet: A correlation weighted network for geological hazard detection. Knowl. Based Syst. 275 (2023)
Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. 76 (2022)
Qian Pan, Maofang Gao, Pingbo Wu, Jingwen Yan, Mohamed A. E. AbdelRahman
Image Classification of Wheat Rust Based on Ensemble Learning. Sensors 22 (16) (2022)
Lanzhi Shen, Maofang Gao, Jingwen Yan, Qizhi Wang, Hua Shen
Winter Wheat SPAD Value Inversion Based on Multiple Pretreatment Methods. Remote. Sens. 14 (18) (2022)
Weifa Zheng, Zitao Cai, Peiyu Cheng, Jingwen Yan, Yanjun Xiao
Research on Network Security Threat Analysis Technology Based on Ontology. ICCEIC (2022)
Wenxuan He, Weiliang Huang, Shuhong Liao, Zhen Xu, Jingwen Yan
CSiT: A Multiscale Vision Transformer for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yuting Zhu, Lihong Long, Jinjie Wang, Jingwen Yan, Xiaoqing Wang
Road Segmentation from High-Fidelity Remote Sensing Images using a Context Information Capture Network. Cogn. Comput. 14 (2) (2022)
Kunjian Li, Chengze Jiang, Xiuchun Xiao, Haoen Huang, Yongjiang Li, Jingwen Yan
Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation. IEEE Access 10 (2022)
Peisong Zhang, Zhijin Wang, Guoqing Chao, Yaohui Huang, Jingwen Yan
An Oriented Attention Model for Infectious Disease Cases Prediction. IEA/AIE (2022)
Jin Li, Feng Chen, Hong Liang, Jingwen Yan
MoNET: an R package for multi-omic network analysis. Bioinform. 38 (4) (2022)
Linhui Xie, Bing He, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Paul Salama, Jingwen Yan
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease. Briefings Bioinform. 22 (6) (2021)
Weiwei Fang, Xin Li, Ping Zhou, Jingwen Yan, Dazhi Jiang, Teng Zhou
Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. IEEE Access 9 (2021)
Bin Huang, Jiaqi Lin, Jinming Liu, Jie Chen, Jiemin Zhang, Yendo Hu, Erkang Chen, Jingwen Yan
Separating Chinese Character from Noisy Background Using GAN. Wirel. Commun. Mob. Comput. 2021 (2021)
Jingwen Yan, Yuting Zhu, Zili Liang, Yisheng Zhu, Keer Wu, Zhinan Lin
Tire Pattern Classification Based On Few-Shot Learning. ICME Workshops (2021)
Xiuchun Xiao, Neal N. Xiong, Jianhuang Lai, Chang-Dong Wang, Zhenan Sun, Jingwen Yan
A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Yuting Zhu, Zili Liang, Jingwen Yan, Gao Chen, Xiaoqing Wang
E-D-Net: Automatic Building Extraction From High-Resolution Aerial Images With Boundary Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Qian Pan, Maofang Gao, Pingbo Wu, Jingwen Yan, Shilei Li
A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images. Sensors 21 (19) (2021)
Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72 (2021)
Qiaohong Zu, Jingwen Yan
Innovation Framework for Green Ports. HCC (2021)
Lanzhi Shen, Maofang Gao, Jingwen Yan, Zhao-Liang Li, Pei Leng, Qiang Yang, Sibo Duan
Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method. Remote. Sens. 12 (7) (2020)
Changli Li, Shiqiang Tang, Jingwen Yan, Teng Zhou
Low-Light Image Enhancement via Pair of Complementary Gamma Functions by Fusion. IEEE Access 8 (2020)
Jingwen Yan, V. Vinesh Raja, Zhi Huang, Enrico Amico, Kwangsik Nho, Shiaofen Fang, Olaf Sporns, Yu-Chien Wu, Andrew J. Saykin, Joaquín Goñi, Li Shen
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. 13 (1) (2020)
Changli Li, Shiqiang Tang, Hon Keung Kwan, Jingwen Yan, Teng Zhou
Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images. IEEE Access 8 (2020)
Changli Li, Shiqiang Tang, Jingwen Yan, Teng Zhou
Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry 12 (9) (2020)
Jingwen Yan, Kaiming Xiao, Cheng Zhu, Jun Wu, Guoli Yang, Weiming Zhang
Bi-Layer Shortest-Path Network Interdiction Game for Internet of Things. Sensors 20 (20) (2020)
Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
Regional imaging genetic enrichment analysis. Bioinform. 36 (8) (2020)
Jiajun Wang, Zixin Xie, Yan Li, Youyi Song, Jingwen Yan, Weihua Bai, Teng Zhou, Jing Qin
Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach. IEEE Access 8 (2020)
Weilin Ye, Zihan Tu, Xupeng Xiao, Alessandro Simeone, Jingwen Yan, Tao Wu, Fupei Wu, Chuantao Zheng, Frank K. Tittel
A NDIR Mid-Infrared Methane Sensor with a Compact Pentahedron Gas-Cell. Sensors 20 (19) (2020)
Yuting Zhu, Jingwen Yan, Cong Wang, Yiqing Zhou
Road Detection of Remote Sensing Image Based on Convolutional Neural Network. ICIG (2) (2019)
Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. MLMI@MICCAI (2019)
Xiaoxia Tian, Jingwen Yan, Yanchun Yang, Chi Xiao, Qi Zhou
Parameter identification of a nonlinear model using an improved version of simulated annealing. Int. J. Distributed Sens. Networks 15 (2) (2019)
Yurika Upadhyaya, Linhui Xie, Paul Salama, Kwangsik Nho, Andrew J. Saykin, Jingwen Yan
Disruption of gene co-expression network along the progression of Alzheimer's disease. BHI (2019)
Yingpin Chen, Zhenming Peng, Ali Gholami, Jingwen Yan, Shu Li
Seismic signal sparse time-frequency representation by Lp-quasinorm constraint. Digit. Signal Process. 87 (2019)
Jingwen Yan, Hongda Chen, Yikui Zhai, Yinan Liu, Lei Liu
Region-division-based joint sparse representation classification for hyperspectral images. IET Image Process. 13 (10) (2019)
Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI (2019)
Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu
Multi-modal Image Prediction via Spatial Hybrid U-Net. MMMI@MICCAI (2019)
Jingwen Yan, Hongda Chen, Zixin Xie, Lei Liu
Adaptive and Rotating Non-local Weighted Joint Sparse Representation Classification for Hyperspectral Images. ICIG (2) (2019)
Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network. CoRR (2019)
Yingpin Chen, Zhenming Peng, Ali Gholami, Jingwen Yan, Shu Li
Corrigendum to "Seismic signal sparse time-frequency representation by Lp-quasinorm constraint" [Digital Signal Processing 87 (2019) 43-59]. Digit. Signal Process. 89 (2019)
Jingkun Yan, Xiuchun Xiao, Hongxin Li, Jiliang Zhang, Jingwen Yan, Mei Liu
Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation. IEEE Access 7 (2019)
Junwen Huang, Jiangqun Ni, Linhong Wan, Jingwen Yan
A Customized Convolutional Neural Network with Low Model Complexity for JPEG Steganalysis. IH&MMSec (2019)
Xiuchun Xiao, Baitao Chen, Jingwen Yan
Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm. Trans. Edutainment 15 (2019)
Wenhui Duan, Xiuchun Xiao, Dongyang Fu, Jingwen Yan, Mei Liu, Jiliang Zhang, Long Jin
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection. IEEE Access 7 (2019)
Xiaoxia Tian, Jingwen Yan
A novel semi-empirical supervised model of vortex-induced vertical force on a flat closed-box bridge deck. Int. J. Distributed Sens. Networks 15 (1) (2019)
Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen
Rapid Acceleration of the Permutation Test via Transpositions. CNI@MICCAI (2019)
Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI (2018)
Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics 16 (3-4) (2018)
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25 (7) (2018)
Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34 (2) (2018)
Jingwen Yan, Shannon L. Risacher, Li Shen, Andrew J. Saykin
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. 19 (6) (2018)
Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. 34 (17) (2018)
Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen
Heritability Estimation of Reliable Connectomic Features. CNI@MICCAI (2018)
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33 (20) (2017)
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB (2017)
Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI (2017)
Jingwen Yan, Xiaopeng Chen, Tingting Xie, Huimin Zhao
Research on Color Image Segmentation. ICIG (3) (2017)
Jingwen Yan, Zhenguo Yuan, Tingting Xie, Huimin Zhao
An Algorithm for Tight Frame Grouplet to Compute Association Fields. ICIG (2) (2017)
Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI (2017)
Qingnan Li, Ruimin Hu, Yixin Chen, Jingwen Yan, Jing Xiao
A Fine-Grained Filtered Viewpoint Informed Keypoint Prediction from 2D Images. PCM (2) (2017)
Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33 (14) (2017)
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4 (1) (2017)
Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI (2017)
Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. PSB (2017)
Yong Wu, Zemin Cai, Jianhuang Lai, Jingwen Yan
A Novel Real-Time Tracking Algorithm Using Spatio-Temporal Context and Color Histogram. CCCV (1) (2017)
Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP (2017)
Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. 9 (2016)
Tianqing Wu, Hong-Chuan Yang, Jingwen Yan
Modulation assisted preprocessing for non-binary LDPC decoding with extended min-sum algorithm. CCECE (2016)
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10 (S-3) (2016)
Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB (2016)
Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM (2016)
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32 (10) (2016)
Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14 (4) (2016)
Zhe Lin, Jingwen Yan, Ye Yuan
Target detection for SAR images based on beamlet transform. Multim. Tools Appl. 75 (4) (2016)
Lei Liu, Jingwen Yan, Di Guo, Yunsong Liu, Xiaobo Qu
Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform. J. Sensors 2015 (2015)
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH (2015)
Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) (2015)
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH (2015)
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) (2014)
Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI (2014)
Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin, Li Shen
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. IEEE Trans. Medical Imaging 33 (7) (2014)
Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30 (17) (2014)
Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin, Li Shen
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE (2014)
De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) (2014)
Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
Data synthesis and method evaluation for brain imaging genetics. ISBI (2014)
Zhe Lin, Jingwen Yan, Ye Yuan
Algorithm for image fusion based on orthogonal grouplet transform and pulse-coupled neural network. J. Electronic Imaging 22 (3) (2013)
Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA (2013)
De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI (2013)
Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) (2013)
Taiyong Li, Zhilong Xie, Jiang Wu, Jingwen Yan, Li Shen
Interactive object extraction by merging regions with k-global maximal similarity. Neurocomputing 120 (2013)

Jingwen Yan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jingwen Yan