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ORCIDYalin Wang 0001
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Yalin Wang 0002 — Texas State University, San Marcos, TX, USA
- Yalin Wang 0003
![[0000-0002-1876-7707]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1876-7707")
— Central South University, School of Automation, Changsha, China (and 2 more) - Yalin Wang 0004 — Hefei University of Technology, School of Management, China
- Yalin Wang 0005 — Nanjing University of Information Science and Technology, China
- Yalin Wang 0006 — Academy of Military Medical Science, Institute of Medical Equipment, Tianjin, China
- Yalin Wang 0007 — Yunnan University, School of Mathematics and Statistics, Yunnan, China
- Yalin Wang 0008 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China
- Yalin Wang 0009 — Harbin Institute of Technology, Department of Sociology, Harbin, China
- Yalin Wang 0010 — Chongqing Geomatics Center, China
- Yalin Wang 0011 — Zhejiang University, College of ISEE, Hangzhou, China
- Yalin Wang 0012 — Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Engineering, Shanghai, China (and 1 more)
- Yalin Wang 0013 — Zhixing College of Hubei University, School of Economics and Management, Wuhan, China
- Yalin Wang 0014 — Odessa Polytechinc National University, Educational and Scientific Institute of Electrical Engineering and Electromechanics, Ukraine
- Yalin Wang 0015 — Qufu Normal University, School of Cyber Science and Engineering, China
- Yalin Wang 0016 — Shanghai Jiao Tong University, Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, China
- Yalin Wang 0017 — PLA General Hospital, Medical Supplies Center, Department of Medical Engineering, Beijing, China
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2020 – today
- 2024
[j45]Yougang Xiao, Yuhan Li, Huan Liu, Yingguo Chen, Yalin Wang, Guohua Wu:
Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs. Inf. Sci. 679: 121068 (2024)- [j44]Habte Tadesse Likassa, Ding-Geng Chen, Kewei Chen, Yalin Wang, Wenhui Zhu:
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement. J. Imaging 10(7): 151 (2024) - [j43]Yanshuai Tu, Xin Li, Zhonglin Lu, Yalin Wang:
Adaptive smoothing of retinotopic maps based on Teichmüller parametrization. Medical Image Anal. 93: 103074 (2024) - [c126]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR 2024: 1249-1259 - [c125]Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
nnMobileNet: Rethinking CNN for Retinopathy Research. CVPR Workshops 2024: 2285-2294 - [c124]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. ECCV (38) 2024: 333-351 - [c123]Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. ICML 2024 - [c122]Negar Jalili Mallak, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration. ISBI 2024: 1-5 - [c121]Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang:
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. ISBI 2024: 1-5 - [c120]Zhangsihao Yang, Yi Su, Rahimeh Rouhi, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, Natasha Leporé:
Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification. ISBI 2024: 1-5 - [c119]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. MICCAI (8) 2024: 601-611 - [c118]Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang:
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV 2024: 3291-3301 - [i43]Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang:
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. CoRR abs/2404.05107 (2024) - [i42]Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. CoRR abs/2405.03140 (2024) - [i41]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR abs/2406.14896 (2024) - [i40]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2407.03575 (2024) - [i39]Zhangsihao Yang, Mengyi Shan, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Xuanzhao Dong, Yalin Wang:
AMG: Avatar Motion Guided Video Generation. CoRR abs/2409.01502 (2024) - [i38]Vamsi Krishna Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana Dumitrascu, Yalin Wang:
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement. CoRR abs/2409.07862 (2024) - [i37]Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang:
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. CoRR abs/2409.10966 (2024) - [i36]Vamsi Krishna Vasa, Wenhui Zhu, Xiwen Chen, Peijie Qiu, Xuanzhao Dong, Yalin Wang:
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation. CoRR abs/2410.11578 (2024) - [i35]Xin Li, Wenhui Zhu, Xuanzhao Dong, Oana M. Dumitrascu, Yalin Wang:
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices. CoRR abs/2410.15036 (2024) - 2023
- [j42]Yu Fu, Yanyan Huang, Zhe Zhang, Shunjie Dong, Le Xue, Meng Niu, Yunxin Li, Zhiguo Shi, Yalin Wang, Hong Zhang, Mei Tian, Cheng Zhuo:
OTFPF: Optimal transport based feature pyramid fusion network for brain age estimation. Inf. Fusion 100: 101931 (2023) - [j41]Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83: 102674 (2023) - [j40]Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen:
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Trans. Comput. Soc. Syst. 10(6): 3602-3608 (2023) - [c117]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - [c116]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. IPMI 2023: 415-427 - [c115]Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo:
SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size. ISBI 2023: 1-5 - [c114]Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang:
Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images. ISBI 2023: 1-5 - [c113]Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
Beyond MobileNet: An Improved MobileNet for Retinal Diseases. MMAC@MICCAI 2023: 56-65 - [c112]Huayu Li, Wenhui Zhu, Xiwen Chen, Yalin Wang:
Prediction of Spherical Equivalent with Vanilla ResNet. MMAC@MICCAI 2023: 66-74 - [c111]Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) 2023: 138-148 - [c110]Yujian Xiong, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Characterizing visual cortical magnification with topological smoothing and optimal transportation. Image Processing 2023 - [c109]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. NeurIPS 2023 - [c108]Rahimeh Rouhi, Jeffrey Tanedo, Iris Miao Wei, Malia Valder, Shreyash Zanjal, Niharika Gajawelli, Marvin D. Nelson, Sean C. L. Deoni, Yalin Wang, Marius George Linguraru, Natasha Leporé:
Automated Segmentation of the Hippocampus in Pediatric Imaging. SIPAIM 2023: 1-5 - [c107]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. WACV 2023: 3145-3154 - [i34]Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang:
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images. CoRR abs/2302.02991 (2023) - [i33]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. CoRR abs/2302.03003 (2023) - [i32]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR abs/2302.03830 (2023) - [i31]Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry. CoRR abs/2304.00134 (2023) - [i30]Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo:
SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size. CoRR abs/2305.18771 (2023) - [i29]Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. CoRR abs/2306.01289 (2023) - [i28]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang:
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR abs/2308.10112 (2023) - [i27]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. CoRR abs/2310.01680 (2023) - [i26]Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2311.00048 (2023) - [i25]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR abs/2311.18303 (2023) - 2022
- [j39]Duyan Ta, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Quantitative characterization of the human retinotopic map based on quasiconformal mapping. Medical Image Anal. 75: 102230 (2022) - [j38]Duyan Ta, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Corrigendum to 'Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping' [Medical Image Analysis Volume 75 (2022) 102230]. Medical Image Anal. 82: 102613 (2022) - [j37]Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics 20(2): 301-316 (2022) - [c106]Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model. ISBI 2022: 1-5 - [c105]Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. WACV 2022: 2743-2752 - [i24]Yu Fu, Yanyan Huang, Yalin Wang, Shunjie Dong, Le Xue, Xunzhao Yin, Qianqian Yang, Yiyu Shi, Cheng Zhuo:
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt. CoRR abs/2205.04684 (2022) - [i23]Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR abs/2205.07854 (2022) - [i22]Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation. CoRR abs/2210.05946 (2022) - [i21]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. CoRR abs/2210.09466 (2022) - [i20]Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding. CoRR abs/2211.05235 (2022) - 2021
- [j36]Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. Medical Image Anal. 67: 101877 (2021) - [j35]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [j34]Yonghui Fan, Gang Wang, Qunxi Dong, Yuxiang Liu, Natasha Leporé, Yalin Wang:
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative. Medical Image Anal. 72: 102123 (2021) - [j33]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Topology-preserving smoothing of retinotopic maps. PLoS Comput. Biol. 17(8) (2021) - [j32]Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40(8): 2030-2041 (2021) - [c104]Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang:
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC 2021: 1051-1054 - [c103]Min Zhang, Yang Guo, Na Lei, Zhou Zhao, Jianfeng Wu, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra. ICCV 2021: 14224-14232 - [c102]Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis Based on Worst Transportation Theory. IPMI 2021: 163-176 - [c101]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Topological Receptive Field Model for Human Retinotopic Mapping. MICCAI (7) 2021: 639-649 - [i19]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR abs/2102.10503 (2021) - [i18]Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis based on Worst Transportation Theory. CoRR abs/2104.00637 (2021) - [i17]Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy. CoRR abs/2110.10709 (2021) - [i16]Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. CoRR abs/2111.00184 (2021) - 2020
- [j31]Yanshuai Tu, Liang Mi, Wen Zhang, Haomeng Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Xianfeng Gu, Yalin Wang:
Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. Neuroinformatics 18(4): 531-548 (2020) - [j30]Jie Shi, Yalin Wang:
Hyperbolic Wasserstein Distance for Shape Indexing. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1362-1376 (2020) - [c100]Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means for Aligning Distributional Data. AAAI 2020: 5166-5173 - [c99]Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang:
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. ISBI 2020: 1-5 - [c98]Wen Zhang, Yalin Wang:
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. ISBI 2020: 1-5 - [c97]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Diffeomorphic Smoothing for Retinotopic Mapping. ISBI 2020: 534-538 - [c96]Yanshuai Tu, Duyan Ta, Xianfeng David Gu, Zhonglin Lu, Yalin Wang:
Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping. ISBI 2020: 687-691 - [c95]Jie Zhang, Yalin Wang:
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI 2020: 1900-1904 - [c94]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping. MICCAI (7) 2020: 218-227 - [c93]Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang:
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) 2020: 613-624 - [c92]Yonghui Fan, Yalin Wang:
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes. MICCAI (4) 2020: 786-796 - [c91]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV 2020: 843-851 - [i15]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i14]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping. CoRR abs/2005.11908 (2020) - [i13]Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. CoRR abs/2007.09777 (2020) - [i12]Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition. CoRR abs/2010.13954 (2020)
2010 – 2019
- 2019
- [c90]Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c89]Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang:
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. IPMI 2019: 617-630 - [c88]Wen Zhang, Yalin Wang:
Geometric Brain Surface Network for Brain Cortical Parcellation. GLMI@MICCAI 2019: 120-129 - [c87]Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu:
Surface Foliation Based Brain Morphometry Analysis. MBIA/MFCA@MICCAI 2019: 186-195 - [c86]Jie Zhang, Yalin Wang:
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) 2019: 850-859 - [i11]Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR abs/1902.00918 (2019) - [i10]Wen Zhang, Kai Shu, Huan Liu, Yalin Wang:
Graph Neural Networks for User Identity Linkage. CoRR abs/1903.02174 (2019) - [i9]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR abs/1903.08362 (2019) - [i8]Wen Zhang, Yalin Wang:
Geometric Brain Surface Network For Brain Cortical Parcellation. CoRR abs/1909.13834 (2019) - 2018
- [c85]Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. ECCV (15) 2018: 336-352 - [c84]Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC 2018: 427-4631 - [c83]Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI 2018: 3089-3096 - [c82]Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI 2018: 1406-1410 - [c81]Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. ISBI 2018: 1555-1559 - [c80]Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) 2018: 3-11 - [c79]Yonghui Fan, Gang Wang, Natasha Leporé, Yalin Wang:
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis. MICCAI (3) 2018: 420-428 - [i7]Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR abs/1806.01248 (2018) - [i6]Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. CoRR abs/1806.09045 (2018) - [i5]Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng David Gu:
Brain Morphometry Analysis with Surface Foliation Theory. CoRR abs/1809.02870 (2018) - [i4]Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means Based on Variational Transportation. CoRR abs/1812.00338 (2018) - 2017
- [j29]Jie Shi, Wen Zhang, Miao Tang, Richard J. Caselli, Yalin Wang:
Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis. Medical Image Anal. 35: 517-529 (2017) - [j28]Gang Wang, Yalin Wang:
Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures. NeuroImage 147: 360-380 (2017) - [j27]Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - [j26]