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ORCIDLei Guo 0002
Person information
- affiliation: Northwestern Polytechnical University, School of Automation, Xi'an, China
Other persons with the same name
- Lei Guo — disambiguation page
- Lei Guo 0001
![[0000-0003-1789-5202]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1789-5202")
— Chinese Academy of Sciences, Academy of Mathematics and Systems Science / Institute of Systems Science, Beijing, China - Lei Guo 0003 — Beihang University, School of Automation and Electronic Engineering (and 2 more)
- Lei Guo 0004 — Google Inc., Mountain View, CA, USA (and 1 more)
- Lei Guo 0005 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 2 more)
- Lei Guo 0006 — U.S. Food and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA
- Lei Guo 0007 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Lei Guo 0008 — Shandong Normal University, School of Management Science and Industrial Engineering, Jinan, China (and 1 more)
- Lei Guo 0009 — Southwest Jiaotong University, Chengdu, China
- Lei Guo 0010 — Shenyang Jianzhu University, School of Mechanical Engineering, China
- Lei Guo 0011 — Beijing University of Posts and Telecommunications, School of Automation, China
- Lei Guo 0012 — Dalian University of Technology, School of Information and Communication Engineering, China (and 2 more)
- Lei Guo 0013 — Chang'an University, MOE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China (and 1 more)
- Lei Guo 0014 — Wuhan University, School of Geodesy and Geomatics, China
- Lei Guo 0015 — Hebei University of Technology, School of Electrical Engineering, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
- Lei Guo 0016 — Shanghai Jiao Tong University, Sino-US Global Logistics Institute, China (and 2 more)
- Lei Guo 0017 — Boston University, Department of Computer Science, College of Communication, MA, USA
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2020 – today
- 2022
[j103]Dongqing Wu, Huihui Li, Yinge Tang, Lei Guo, Hang Liu:
Global-Guided Asymmetric Attention Network for Image-Text Matching. Neurocomputing 481: 77-90 (2022)- [j102]Gong Cheng, Min He, Hailong Hong, Xiwen Yao, Xiaoliang Qian, Lei Guo:
Guiding Clean Features for Object Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j101]Tianji Pang, Shijie Zhao, Junwei Han, Shu Zhang, Lei Guo, Tianming Liu:
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition. Medical Image Anal. 82: 102570 (2022) - [j100]Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu:
Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience. IEEE Trans. Cogn. Dev. Syst. 14(1): 156-163 (2022) - [j99]Gong Cheng, Liming Cai, Chunbo Lang, Xiwen Yao, Jinyong Chen, Lei Guo, Junwei Han:
SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j98]Gong Cheng, Xuxiang Sun, Ke Li, Lei Guo, Junwei Han:
Perturbation-Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j97]Gong Cheng, Bowei Yan, Peizhen Shi, Ke Li, Xiwen Yao, Lei Guo, Junwei Han:
Prototype-CNN for Few-Shot Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j96]Huihui Li, Cang Gu, Dongqing Wu, Gong Cheng, Lei Guo, Hang Liu:
Multiscale Generative Adversarial Network Based on Wavelet Feature Learning for SAR-to-Optical Image Translation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c160]Jin Zhang, Muheng Shang, Qiang Xie, Minjianan Zhang, Duo Xi, Lei Guo, Junwei Han, Lei Du:
A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics. BIBM 2022: 660-665 - [c159]Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. ISBI 2022: 1-5 - [c158]Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI 2022: 1-5 - [c157]Dongqing Wu, Huihui Li, Cang Gu, Lei Guo, Hang Liu:
Improving Fusion of Region Features and Grid Features via Two-Step Interaction for Image-Text Retrieval. ACM Multimedia 2022: 5055-5064 - 2021
- [j95]Gong Cheng, Yongjie Si, Hailong Hong, Xiwen Yao, Lei Guo:
Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 18(3): 431-435 (2021) - [j94]Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han, Alzheimer's Disease Neuroimaging Initiative:
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. Medical Image Anal. 70: 102003 (2021) - [j93]Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han:
Corrigendum to Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis [Medical Image Analysis 70 (2021) 1-12/102003]. Medical Image Anal. 72: 102081 (2021) - [j92]Yanbang Zhang, Fen Zhang, Lei Guo, Henry Han:
Salient object detection using feature clustering and compactness prior. Multim. Tools Appl. 80(16): 24867-24884 (2021) - [j91]Huan Liu, Xintao Hu, Yudan Ren, Liting Wang, Lei Guo, Christine Cong Guo, Junwei Han:
Neural Correlates of Interobserver Visual Congruency in Free-Viewing Condition. IEEE Trans. Cogn. Dev. Syst. 13(3): 546-554 (2021) - [j90]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 227-239 (2021) - [j89]Xiwen Yao, Xiaoxu Feng, Junwei Han, Gong Cheng, Lei Guo:
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning. IEEE Trans. Geosci. Remote. Sens. 59(1): 675-685 (2021) - [j88]Lingjun Li, Junwei Han, Xiwen Yao, Gong Cheng, Lei Guo:
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7844-7853 (2021) - [j87]Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu:
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19. IEEE J. Biomed. Health Informatics 25(5): 1347-1357 (2021) - 2020
- [j86]Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv:
Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access 8: 69967-69978 (2020) - [j85]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. 36(Supplement-1): i371-i379 (2020) - [j84]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j83]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. 61: 101656 (2020) - [j82]Tuo Zhang, Ying Huang, Lin Zhao, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu:
Identifying Cross-individual Correspondences of 3-hinge Gyri. Medical Image Anal. 63: 101700 (2020) - [j81]Gaokai Liu, Ning Yang, Lei Guo, Shiping Guo, Zhi Chen:
A One-Stage Approach for Surface Anomaly Detection with Background Suppression Strategies. Sensors 20(7): 1829 (2020) - [j80]Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia:
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3735-3756 (2020) - [j79]Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder. IEEE Trans. Cogn. Dev. Syst. 12(4): 733-743 (2020) - [j78]Gong Cheng, Junyu Yang, Decheng Gao, Lei Guo, Junwei Han:
High-Quality Proposals for Weakly Supervised Object Detection. IEEE Trans. Image Process. 29: 5794-5804 (2020) - [c156]Lei Du, Jin Zhang, Fang Liu, Minjianan Zhang, Huiai Wang, Lei Guo, Junwei Han:
Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis. BIBM 2020: 570-575 - [c155]Shangke Lyu, Chien Chern Cheah, Xiang Yu, Lei Guo:
Human-robot Interaction Control by using a General Sensory Model. ICCA 2020: 630-635 - [c154]Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du:
Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. MICCAI (7) 2020: 94-103 - [c153]Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c152]Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang:
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. MLMI@MICCAI 2020: 465-473 - [i1]Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia:
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities. CoRR abs/2005.01094 (2020)
2010 – 2019
- 2019
- [j77]Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. 35(14): i474-i483 (2019) - [j76]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [j75]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [j74]Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network. IEEE J. Biomed. Health Informatics 23(6): 2515-2525 (2019) - [c151]Xiwen Yao, Liuqing Yang, Gong Cheng, Junwei Han, Lei Guo:
Scene Classification of High Resolution Remote Sensing Images Via Self-Paced Deep Learning. IGARSS 2019: 521-524 - [c150]Junyu Yang, Gong Cheng, Xiwen Yao, Junwei Han, Lei Guo:
Learning Region Response Ranking Features for Remote Sensing Image Scene Classification. IGARSS 2019: 529-532 - [c149]Xiwen Yao, Xiaoxu Feng, Gong Cheng, Junwei Han, Lei Guo:
Rotation-Invariant Latent Semantic Representation Learning for Object Detection in VHR Optical Remote Sensing Images. IGARSS 2019: 1382-1385 - [c148]Maoxiong Wu, Gong Cheng, Xiwen Yao, Xiaoliang Qian, Junwei Han, Lei Guo:
Performance Comparison of Two Pooling Strategies for Remote Sensing Image Scene Classification. IGARSS 2019: 3037-3040 - [c147]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI 2019: 356-359 - [c146]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c145]Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
A Task Performance-guided Model of Functional Networks Identification. ISBI 2019: 1590-1593 - [c144]Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu:
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI. ISBI 2019: 1594-1597 - [c143]Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu:
Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. ISBI 2019: 1788-1791 - [c142]Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang:
Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. MBIA/MFCA@MICCAI 2019: 49-56 - [c141]Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains. MBIA/MFCA@MICCAI 2019: 57-65 - [c140]Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. MBIA/MFCA@MICCAI 2019: 66-74 - [c139]Wei Suo, Xintao Hu, Bowei Yan, Mengyang Sun, Lei Guo, Junwei Han, Tianming Liu:
3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data. MBIA/MFCA@MICCAI 2019: 75-83 - [c138]Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu:
Group-Wise Graph Matching of Cortical Gyral Hinges. MICCAI (4) 2019: 75-83 - [c137]Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang:
Multi-view Graph Matching of Cortical Landmarks. MICCAI (4) 2019: 84-92 - [c136]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) 2019: 447-455 - 2018
- [j73]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): 278-285 (2018) - [j72]Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu:
Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. Comput. Medical Imaging Graph. 69: 9-20 (2018) - [j71]Mo Chen, Gong Cheng, Lei Guo:
Identifying affective levels on music video via completing the missing modality. Multim. Tools Appl. 77(3): 3287-3302 (2018) - [j70]Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu:
Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics 16(3-4): 309-324 (2018) - [j69]Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu:
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. 65(6): 1183-1192 (2018) - [j68]Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu:
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1975-1984 (2018) - [j67]Yixuan Yuan, Xiwen Yao, Junwei Han, Lei Guo, Max Q.-H. Meng:
Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification. IEEE Trans. Cybern. 48(7): 2074-2085 (2018) - [j66]Gong Cheng, Ceyuan Yang, Xiwen Yao, Lei Guo, Junwei Han:
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs. IEEE Trans. Geosci. Remote. Sens. 56(5): 2811-2821 (2018) - [j65]Gong Cheng, Zhenpeng Li, Junwei Han, Xiwen Yao, Lei Guo:
Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(11): 6712-6722 (2018) - [j64]Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu:
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37(7): 1551-1561 (2018) - [c135]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM 2018: 356-361 - [c134]Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu:
Joint representation of cortical folding, structural connectivity and functional networks. ISBI 2018: 1-5 - [c133]Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu:
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI 2018: 74-77 - [c132]Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu:
A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. ISBI 2018: 1043-1047 - [c131]Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu:
Identification of Species-Preserved Cortical Landmarks. MICCAI (3) 2018: 89-97 - [c130]Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network. MICCAI (3) 2018: 284-292 - 2017
- [j63]Mir Jalil Razavi, Tuo Zhang, Hanbo Chen, Yujie Li, Simon Platt, Yu Zhao, Lei Guo, Xiaoping Hu, Xianqiao Wang, Tianming Liu:
Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex. Frontiers Comput. Neurosci. 11: 76 (2017) - [j62]Tuo Zhang, Mir Jalil Razavi, Hanbo Chen, Yujie Li, Xiao Li, Longchuan Li, Lei Guo, Xiaoping Hu, Tianming Liu, Xianqiao Wang:
Mechanisms of circumferential gyral convolution in primate brains. J. Comput. Neurosci. 42(3): 217-229 (2017) - [j61]Gong Cheng, Zhenpeng Li, Xiwen Yao, Lei Guo, Zhongliang Wei:
Remote Sensing Image Scene Classification Using Bag of Convolutional Features. IEEE Geosci. Remote. Sens. Lett. 14(10): 1735-1739 (2017) - [j60]Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu:
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38: 1-16 (2017) - [c129]Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu:
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI 2017: 411-424 - [c128]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: 543-555 - [c127]Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu:
Predicting cortical 3-hinge locations via structural connective features. ISBI 2017: 533-537 - [c126]Shu Zhang, Xiang Li, Lei Guo, Tianming Liu:
Exploring human brain activation via nested sparse coding and functional operators. ISBI 2017: 947-951 - [c125]Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Shu Zhang, Junwei Han, Lei Guo, Tianming Liu:
FMRI data classification based on hybrid temporal and spatial sparse representation. ISBI 2017: 957-960 - [c124]Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu:
Decoding dynamic auditory attention during naturalistic experience. ISBI 2017: 974-977 - [c123]Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI 2017: 210-219 - [c122]Tuo Zhang, Xiao Li, Lin Zhao, Xintao Hu, Tianming Liu, Lei Guo:
Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets. MICCAI (1) 2017: 424-432 - 2016
- [j59]Yanbang Zhang, Fen Zhang, Lei Guo:
Saliency detection by selective color features. Neurocomputing 203: 34-40 (2016) - [j58]Tuo Zhang, Dajiang Zhu, Xi Jiang, Shu Zhang, Zhifeng Kou, Lei Guo, Tianming Liu:
Group-wise consistent cortical parcellation based on connectional profiles. Medical Image Anal. 32: 32-45 (2016) - [j57]Yimin Hou, Ting Xiao, Shu Zhang, Xi Jiang, Xiang Li, Xintao Hu, Junwei Han, Lei Guo, L. Stephen Miller, Richard Neupert, Tianming Liu:
Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns. IEEE Trans. Affect. Comput. 7(1): 29-44 (2016) - [j56]Junwei Han, Dingwen Zhang, Shifeng Wen, Lei Guo, Tianming Liu, Xuelong Li:
Two-Stage Learning to Predict Human Eye Fixations via SDAEs. IEEE Trans. Cybern. 46(2): 487-498 (2016) - [j55]Xiwen Yao, Junwei Han, Gong Cheng, Xueming Qian, Lei Guo:
Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning. IEEE Trans. Geosci. Remote. Sens. 54(6): 3660-3671 (2016) - [c121]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: 707-711 - [c120]Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu:
Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. ICME 2016: 1-6 - [c119]Xiwen Yao, Junwei Han, Gong Cheng, Peicheng Zhou, Lei Guo:
Semantic annotation of satellite images via joint multi-feature learning with diversity constraint. IGARSS 2016: 5441-5444 - [c118]Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu:
Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI 2016: 58-61 - [c117]Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu:
Latent source mining in FMRI data via deep neural network. ISBI 2016: 638-641 - [c116]Xiao Li, Tuo Zhang, Tao Liu, Jinglei Lv, Xintao Hu, Lei Guo, Tianming Liu:
A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data. ISBI 2016: 829-832 - [c115]Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu:
A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure. MICCAI (1) 2016: 28-36 - [c114]Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu:
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) 2016: 46-54 - [c113]Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu:
Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. MICCAI (1) 2016: 123-131 - [c112]Xiaoyan Cai, Junwei Han, Lei Guo, Libin Yang:
Double-Hypergraph Based Sentence Ranking for Query-Focused Multi-document Summarizaton. WI Workshops 2016: 112-118 - 2015
- [j54]Gong Cheng, Peicheng Zhou, Junwei Han, Lei Guo, Jungong Han:
Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images. IET Comput. Vis. 9(5): 639-647 (2015) - [j53]Xiwen Yao, Junwei Han, Lei Guo, Shuhui Bu, Zhenbao Liu:
A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF. Neurocomputing 164: 162-172 (2015) - [j52]Xiang Ji,