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Jingwen Yan
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2020 – today
- 2024
- [j61]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) - [j60]Weijian Xu
Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction. IEEE Internet Things J. 11(5): 8019-8029 (2024) - [c53]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: 204-211 - [c52]Wei Peng
iDNA-EBT: An ensemble model based on multi-scale secondary fine-tuned BERT. BCB 2024: 51:1-51:6 - [c51]Shuhong Liao, Chuanmin Jia, Hongfei Fan, Jingwen Yan, Siwei Ma:
Rate-Quality Based Rate Control Model for Neural Video Compression. ICASSP 2024: 4215-4219 - [c50]Jianqiang Sheng, Siwei Chen, Fei Wang, Yongsheng Zhao, Zhineng Zhang, Kai Jiang, Xunan Pan, Jingwen Yan:
PotC2Vox: A Point Cloud Data-Driven 3D Reconstruction Method for Single-View Images. ICPR (8) 2024: 342-358 - [c49]Lina Takemaru, Shu Yang, Ruiming Wu, Bing He, Christos Davtzikos, Jingwen Yan, Li Shen:
Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings. ISBI 2024: 1-5 - [c48]Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang:
Learning the Irreversible Progression Trajectory of Alzheimer's Disease. ISBI 2024: 1-5 - [c47]Song Liao
Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces. WWW 2024: 1081-1091 - [i3]Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang:
Learning the irreversible progression trajectory of Alzheimer's disease. CoRR abs/2403.06087 (2024) - [i2]Chengyun Deng, Shuzhong Lai, Chi Zhou, Mengyi Bao, Jingwen Yan, Haifeng Li, Lin Yao, Yueming Wang:
ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP. CoRR abs/2409.01867 (2024) - 2023
- [j59]Shuaiqi Liu
GLFANet: A global to local feature aggregation network for EEG emotion recognition. Biomed. Signal Process. Control. 85: 104799 (2023) - [j58]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: 108065 (2023) - [j57]Weiliang Huang
Efficient SpectralFormer for hyperspectral image classification. Digit. Signal Process. 143: 104237 (2023) - [j56]Keer Wu
Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Eng. Appl. Artif. Intell. 123(Part C): 106411 (2023) - [j55]Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. Neurocomputing 526: 180-190 (2023) - [j54]Dongbin Yin, Baizhong Zhang, Jingwen Yan, Yu Luo
CoWNet: A correlation weighted network for geological hazard detection. Knowl. Based Syst. 275: 110684 (2023) - 2022
- [j53]Kunjian Li, Chengze Jiang, Xiuchun Xiao
Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation. IEEE Access 10: 2860-2868 (2022) - [j52]Jin Li, Feng Chen, Hong Liang, Jingwen Yan
MoNET: an R package for multi-omic network analysis. Bioinform. 38(4): 1165-1167 (2022) - [j51]Yuting Zhu
Road Segmentation from High-Fidelity Remote Sensing Images using a Context Information Capture Network. Cogn. Comput. 14(2): 780-793 (2022) - [j50]Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. 76: 102297 (2022) - [j49]Lanzhi Shen, Maofang Gao
Winter Wheat SPAD Value Inversion Based on Multiple Pretreatment Methods. Remote. Sens. 14(18): 4660 (2022) - [j48]Qian Pan, Maofang Gao
Image Classification of Wheat Rust Based on Ensemble Learning. Sensors 22(16): 6047 (2022) - [j47]Wenxuan He
CSiT: A Multiscale Vision Transformer for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9266-9277 (2022) - [c46]Weifa Zheng, Zitao Cai, Peiyu Cheng, Jingwen Yan, Yanjun Xiao:
Research on Network Security Threat Analysis Technology Based on Ontology. ICCEIC 2022: 1-5 - [c45]Peisong Zhang
An Oriented Attention Model for Infectious Disease Cases Prediction. IEA/AIE 2022: 124-136 - 2021
- [j46]Weiwei Fang
Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. IEEE Access 9: 9777-9784 (2021) - [j45]Linhui Xie
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease. Briefings Bioinform. 22(6) (2021) - [j44]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j43]Qian Pan, Maofang Gao
A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images. Sensors 21(19): 6540 (2021) - [j42]Yuting Zhu
E-D-Net: Automatic Building Extraction From High-Resolution Aerial Images With Boundary Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4595-4606 (2021) - [j41]Xiuchun Xiao
A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3412-3428 (2021) - [j40]Bin Huang
Separating Chinese Character from Noisy Background Using GAN. Wirel. Commun. Mob. Comput. 2021: 9922017:1-9922017:13 (2021) - [c44]Qiaohong Zu, Jingwen Yan:
Innovation Framework for Green Ports. HCC 2021: 295-304 - [c43]Jingwen Yan, Yuting Zhu, Zili Liang, Yisheng Zhu, Keer Wu, Zhinan Lin:
Tire Pattern Classification Based On Few-Shot Learning. ICME Workshops 2021: 1-7 - 2020
- [j39]Jiajun Wang
Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach. IEEE Access 8: 67466-67473 (2020) - [j38]Changli Li
Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images. IEEE Access 8: 155732-155741 (2020) - [j37]Changli Li
Low-Light Image Enhancement via Pair of Complementary Gamma Functions by Fusion. IEEE Access 8: 169887-169896 (2020) - [j36]Xiaohui Yao, Shan Cong, Jingwen Yan
Regional imaging genetic enrichment analysis. Bioinform. 36(8): 2554-2560 (2020) - [j35]Jingwen Yan, V. Vinesh Raja, Zhi Huang, Enrico Amico
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. 13(1): 58-70 (2020) - [j34]Lanzhi Shen, Maofang Gao
Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method. Remote. Sens. 12(7): 1206 (2020) - [j33]Weilin Ye
A NDIR Mid-Infrared Methane Sensor with a Compact Pentahedron Gas-Cell. Sensors 20(19): 5461 (2020) - [j32]Jingwen Yan, Kaiming Xiao
Bi-Layer Shortest-Path Network Interdiction Game for Internet of Things. Sensors 20(20): 5943 (2020) - [j31]Changli Li, Shiqiang Tang, Jingwen Yan, Teng Zhou
Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion. Symmetry 12(9): 1561 (2020)
2010 – 2019
- 2019
- [j30]Jingkun Yan, Xiuchun Xiao
Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation. IEEE Access 7: 41517-41524 (2019) - [j29]Wenhui Duan, Xiuchun Xiao
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection. IEEE Access 7: 102941-102950 (2019) - [j28]Yingpin Chen, Zhenming Peng
Seismic signal sparse time-frequency representation by Lp-quasinorm constraint. Digit. Signal Process. 87: 43-59 (2019) - [j27]Yingpin Chen, Zhenming Peng
Corrigendum to "Seismic signal sparse time-frequency representation by Lp-quasinorm constraint" [Digital Signal Processing 87 (2019) 43-59]. Digit. Signal Process. 89: 186 (2019) - [j26]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): 1694-1704 (2019) - [j25]Xiaoxia Tian
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) - [j24]Xiaoxia Tian
Parameter identification of a nonlinear model using an improved version of simulated annealing. Int. J. Distributed Sens. Networks 15(2) (2019) - [j23]Xiuchun Xiao, Baitao Chen, Jingwen Yan:
Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm. Trans. Edutainment 15: 47-58 (2019) - [c42]Yurika Upadhyaya, Linhui Xie
Disruption of gene co-expression network along the progression of Alzheimer's disease. BHI 2019: 1-4 - [c41]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI 2019: 1-4 - [c40]Yuting Zhu
Road Detection of Remote Sensing Image Based on Convolutional Neural Network. ICIG (2) 2019: 106-118 - [c39]Jingwen Yan
Adaptive and Rotating Non-local Weighted Joint Sparse Representation Classification for Hyperspectral Images. ICIG (2) 2019: 387-399 - [c38]Junwen Huang, Jiangqun Ni, Linhong Wan, Jingwen Yan:
A Customized Convolutional Neural Network with Low Model Complexity for JPEG Steganalysis. IH&MMSec 2019: 198-203 - [c37]Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu:
Multi-modal Image Prediction via Spatial Hybrid U-Net. MMMI@MICCAI 2019: 1-9 - [c36]Moo K. Chung, Linhui Xie
Rapid Acceleration of the Permutation Test via Transpositions. CNI@MICCAI 2019: 42-53 - [c35]Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu:
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. MLMI@MICCAI 2019: 557-565 - [e1]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i1]Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu:
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network. CoRR abs/1910.09405 (2019) - 2018
- [j22]Jingwen Yan, Shannon L. Risacher
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. 19(6): 1370-1381 (2018) - [j21]Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34(2): 278-285 (2018) - [j20]Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. 34(17): i866-i874 (2018) - [j19]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25(7): 809-824 (2018) - [j18]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): 393-402 (2018) - [c34]Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI 2018: 6-9 - [c33]Linhui Xie
Heritability Estimation of Reliable Connectomic Features. CNI@MICCAI 2018: 58-66 - 2017
- [j17]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j16]Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33(20): 3250-3257 (2017) - [j15]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4(1): 27-37 (2017) - [c32]Yong Wu
A Novel Real-Time Tracking Algorithm Using Spatio-Temporal Context and Color Histogram. CCCV (1) 2017: 128-144 - [c31]Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP 2017: 6170-6174 - [c30]Jingwen Yan
Research on Color Image Segmentation. ICIG (3) 2017: 27-35 - [c29]Jingwen Yan
An Algorithm for Tight Frame Grouplet to Compute Association Fields. ICIG (2) 2017: 187-196 - [c28]Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI 2017: 198-209 - [c27]Lei Du
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI 2017: 543-555 - [c26]Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI 2017: 220-229 - [c25]Qingnan Li, Ruimin Hu, Yixin Chen, Jingwen Yan, Jing Xiao:
A Fine-Grained Filtered Viewpoint Informed Keypoint Prediction from 2D Images. PCM (2) 2017: 172-181 - [c24]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: 94-104 - [c23]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB 2017: 287-302 - 2016
- [j14]Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. 9: 3 (2016) - [j13]Lei Du
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32(10): 1544-1551 (2016) - [j12]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10(S-3): 68 (2016) - [j11]Zhe Lin, Jingwen Yan, Ye Yuan:
Target detection for SAR images based on beamlet transform. Multim. Tools Appl. 75(4): 2189-2202 (2016) - [j10]Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14(4): 439-452 (2016) - [c22]Lei Du
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM 2016: 707-711 - [c21]Tianqing Wu, Hong-Chuan Yang, Jingwen Yan:
Modulation assisted preprocessing for non-binary LDPC decoding with extended min-sum algorithm. CCECE 2016: 1-4 - [c20]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: 108-119 - 2015
- [j9]Lei Liu, Jingwen Yan, Di Guo, Yunsong Liu
Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform. J. Sensors 2015: 256391:1-256391:11 (2015) - [c19]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH 2015: 115-124 - [c18]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH 2015: 275-284 - [c17]Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) 2015: 169-176 - 2014
- [j8]Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30(17): 564-571 (2014) - [j7]Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin
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): 1475-1487 (2014) - [c16]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: 665-668 - [c15]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: 1202-1205 - [c14]De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) 2014: 313-320 - [c13]Lei Du
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) 2014: 329-336 - [c12]Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE 2014: 4:1-4:7 - 2013
- [j6]Taiyong Li
Interactive object extraction by merging regions with k-global maximal similarity. Neurocomputing 120: 610-623 (2013) - [j5]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): 033028 (2013) - [c11]De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI 2013: 536-547 - [c10]Jingwen Yan, Heng Huang, Shannon L. Risacher
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA 2013: 202-210 - [c9]Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) 2013: 625-632 - 2012
- [j4]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28(18): 619-625 (2012) - [j3]Zemin Cai
Learning an Adaptive Dictionary Using a Projected Gradient Method and its Application on Image de-noising. Int. J. Wavelets Multiresolution Inf. Process. 10(1) (2012) - [j2]Zhongsheng Hou, Jingwen Yan, Jian-Xin Xu, Zhenjiang Li:
Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors. IEEE Trans. Intell. Transp. Syst. 13(2): 606-618 (2012) - [c8]Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR 2012: 940-947 - [c7]Jingwen Yan, Shannon L. Risacher
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA 2012: 1-17 - [c6]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS 2012: 1286-1294 - 2011
- [j1]Zhongsheng Hou, Xin Xu
A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA. IEEE Trans. Intell. Transp. Syst. 12(4): 1305-1318 (2011) - [c5]Xiaofen Lin, Gang Lu, Jingwen Yan, Wei Lin:
Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization. ICIG 2011: 205-210
2000 – 2009
- 2008
- [c4]Jingwen Yan, Guide Yang, Anfa Zhang:
A novel inter-scale correlation image denoising method based on Dual-tree M-band wavelet. ISKE 2008: 131-136 - [c3]Hongzhi Xiao, Jingwen Yan, Xiaoyan Zhang:
A wavelet-based 3D surfacelet transform. ISKE 2008: 1125-1129 - [c2]Anfa Zhang, Jingwen Yan, Zhixi Wang:
SAR image denoising based on orthogonal bandlet domain with context modeling. ISKE 2008: 1179-1184 - [c1]Xiaobo Qu, Jingwen Yan:
The cycle spinning-based sharp frequency localized contourlet transform for image denoising. ISKE 2008: 1247-1251
Coauthor Index
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