王亚霖｜上海电力大学｜学者主页

期刊论文

2026

Quadrotor navigation considering attitude: A deep reinforcement learning method using tangent path rewards

Qizhang Luo, Yuqi Li, Jiaheng Zeng, Guohua Wu, Yalin Wang

Expert Systems With Applications，Vol. 298

DOI

2026

Modeling and reliability analysis of cascading failures in asymmetric interdependent hypergraphs

Bin Xue, Yalin Wang, Fan-Yuan Meng

Reliability Engineering & System Safety

DOI

2026

Information cascades in signed hypergraphs

Yalin Wang, Jian-Lin Zhang, Ping-Le Yang, Fan-Yuan Meng

Physica A: Statistical Mechanics and its Applications

DOI

2024

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes

Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu

Expert Systems With Applications，Vol. 245

DOI

2024

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process

Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui

IEEE/CAA Journal of Automatica Sinica

2024

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes

Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui

IEEE/CAA Journal of Automatica Sinica

2022

Metro Outbound Passenger Flow Forecasting Considering Spatial-Temporal Correlation Characteristics

Yu-Xin Tang, Jianyuan Guo, Yalin Wang, Jian Li

Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021

DOI

会议论文

2025

A coal price prediction method based on DeepSeek-R1 fusion of quantitative multi-scale event characterization

Jiang Luo, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Weihua Gui

《第36届中国过程控制会议论文集（下）》

DOI

2025

Learning Spatiotemporal Dependencies for Time Series Imputation via Adaptive Multi-task Gradient Guidance

Guodong Li, Yalin Wang, Chenliang Liu, Jiang Luo, Yitao Chen, Hongrui Liu

《第36届中国过程控制会议论文集（下）》

DOI

2024

DMA-Trans: A Difference Metric Attention with Position Distancebased Weighting for Transformer in Data Sequence Modeling of Industrial Processes

Ziyi Yang, Xiaofeng Yuan, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui

《第35届中国过程控制会议论文集》

DOI

2024

Day-Ahead Electric Load Forecasting Based on T2VC-Informer

Yucong Huang, Fang Liu, Yalin Wang, Denis Sidorov, Yong Li

《第43届中国控制会议论文集（15）》

DOI

2023

Soft Sensor Model for Far Topological Feature Extraction Based On Variable Correlation Analysis-based Convolutional Neural Network

Yichen Wang, Xiaofeng Yuan, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui

《第34届中国过程控制会议论文集》

DOI

2023

Attention-based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequence with Missing Values in Industrial Processes

Nuo Xu, Xiaofeng Yuan, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui

《第34届中国过程控制会议论文集》

DOI

2023

Deep Learning for Data Modeling of Raw Material Analysis Samples Scarcity in Industrial Processes

Xiaofeng Yuan, Yaqi Li, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui

《第34届中国过程控制会议论文集》

DOI

2023

Deep Learning-based Model Predictive Control with Exponential Data Weighting for Energy Management Systems

Dan Cui, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui

《第34届中国过程控制会议论文集》

DOI

2022

An effective feature extraction method for fault classification and its application to industrial processes

Adil Masud Aman, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Lixue Huang

《第33届中国过程控制会议论文集》

DOI

2021

Robust extraction of industrial process conditions driven by operation events and time series segmentation

Yalin Wang, Yuqing Pan, Kai Wang

《第32届中国过程控制会议(CPCC2021)论文集》

DOI

2021

A spatial temporal neighborhood preserving method for feature learning with an industrial application

Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan

《第32届中国过程控制会议(CPCC2021)论文集》

DOI

2020

Uncertain optimization of industrial processes considering control loop performance

Yalin Wang, Sizhe Wang, Ling Li

《第31届中国过程控制会议（CPCC 2020）摘要集》

DOI

2020

Computer Vision-Based Online Heterogeneity Assessment of the Sintering Transversal Thermal State

Yudong Qi, Yalin Wang, Xiaofeng Yuan, Jing Teng, Chunhua Yang

《第三十九届中国控制会议论文集（3）》

DOI

2019

Deep Learning-based Inferential Sensor for Dynamic Industrial Processes with Spatial-temporal Attention-Based LSTM

Xiaofeng Yuan, Lin Li, Yalin Wang, Chunhua Yang, Weihua Gui

《第30届中国过程控制会议（CPCC 2019）摘要集》

2017

ELM-based Real-time Prediction for Hydrogenolysis Degree of Hydrofining Reaction in Hydrocracking Process

Guanyu Chen, Yalin Wang, Yongfei Xue, Xiaofeng Yuan, Shengwu Zou

《第36届中国控制会议论文集（C）》

2017

Multi-dimensional feature analysis and outlier detection algorithm on water level of tailing pond

Xiaofang Chen, Wei Yan, Lihui Cen, Xiaowei Ying, Yalin Wang

《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年摘要集》

2017

Classification for Raw Oil Inlet Conditions of Hydrocracking Process Based on Ratio Cluster

Kenan Sun, Yalin Wang, Ling Li, Xiaofeng Yuan, Qiquan Chen

《第36届中国控制会议论文集（C）》

2017

Stochastic Performance Assessment of the Controller with Complex Deterministic Trend Output and its Application

Yuanhui Liu, Yonggang Li, Yalin Wang, Ling Li

《第36届中国控制会议论文集（C）》

预印本

2026

Expected Shortfall Panel Regression

Yujie Hou, Xinbing Kong, Yalin Wang, Bin Wu

arXiv preprint

2026

Expected Shortfall Factor Models: Common Tail Losses and Expected Returns

Yujie Hou, Xinbing Kong, Yalin Wang, Bin Wu

arXiv preprint

2026

EpiLENS: Patient-Relative Epileptogenic Zone Localization from Multi-Center Intracranial EEG

Yuanchu Gong, Zibo Yan, Yibo Lyu, Chen Chen, Sixian Chan, Yalin Wang

arXiv preprint

2026

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures

Yujian Xiong, Mohammad Farazi, Yanxi Chen, Wenhui Zhu, Xuanzhao Dong, Natasha Lepore, Yi Su, Raza Mushtaq, Stephen Foldes, Andrew Yang, Yalin Wang

arXiv preprint

2025

Identity Preserving Latent Diffusion for Brain Aging Modeling

Gexin Huang, Zhangsihao Yang, Yalin Wang, Guido Gerig, Mengwei Ren, Xiaoxiao Li

arXiv preprint

2025

Schrödinger Diffusion Driven Signal Recovery in 3T BOLD fMRI Using Unmatched 7T Observations

Yujian Xiong, Xuanzhao Dong, Sebastian Waz, Wenhui Zhu, Negar Mallak, Zhong-lin Lu, Yalin Wang

arXiv preprint

2025

Factor Modelling for Biclustering Large-dimensional Matrix-valued Time Series

Yong He, Xiaoyang Ma, Xingheng Wang, Yalin Wang

arXiv preprint

2025

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN

Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J Caselli, Nicholas Ashton, Eric M Reiman, Yalin Wang

arXiv preprint

2025

TransPCA for Large-dimensional Factor Analysis with Weak Factors: Power Enhancement via Knowledge Transfer

Yong He, Dong Liu, Yunjing Sun, Yalin Wang

arXiv preprint

2025

Quantification of Planar Cortical Magnification with Optimal Transport and Topological Smoothing

Yujian Xiong, Negar Jalili Mallak, Yanshuai Tu, Zhong-Lin Lu, Yalin Wang

arXiv preprint

2025

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Yanxi Chen, Mohammad Farazi, Zhangsihao Yang, Yonghui Fan, Nicholas Ashton, Eric M Reiman, Yi Su, Yalin Wang

arXiv preprint

2024

Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration

Negar Jalili-Mallak, Yanshuai Tu, Zhong-Lin Lu, Yalin Wang

arXiv preprint

2024

A Recipe for Geometry-Aware 3D Mesh Transformers

Mohammad Farazi, Yalin Wang

arXiv preprint

2024

Large-dimensional Robust Factor Analysis with Group Structure

Yong He, Xiaoyang Ma, Xingheng Wang, Yalin Wang

arXiv preprint

2024

Generalized Principal Component Analysis for Large-dimensional Matrix Factor Model

Yong He, Yujie Hou, Haixia Liu, Yalin Wang

arXiv preprint

2024

Characterizing visual cortical magnification with topological smoothing and optimal transportation

Yujian Xiong, Yanshuai Tu, Zhong-Lin Lu, Yalin Wang

arXiv preprint

DOI

2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang

arXiv preprint

2023

Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images

Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang

arXiv preprint

2023

SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo

arXiv preprint

2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes

Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang

arXiv preprint

2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry

Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang

arXiv preprint

2023

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang

arXiv preprint

2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Oana M. Dumitrascu, Yalin Wang

arXiv preprint

2022

A new non-parametric Kendall's tau for matrix-valued elliptical observations

Yong He, Yalin Wang, Long Yu, Wang Zhou, Wen-Xin Zhou

arXiv preprint

2022

Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding

Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Lepore, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang

arXiv preprint

2022

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence

Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang

arXiv preprint

2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation

Wenhui Zhu, Peijie Qiu, Natasha Lepore, Oana M. Dumitrascu, Yalin Wang

arXiv preprint

2022

Functional2Structural: Cross-Modality Brain Networks Representation Learning

Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan

arXiv preprint

2022

Distributed Learning for Principle Eigenspaces without Moment Constraints

Yong He, Zichen Liu, Yalin Wang

arXiv preprint

2022

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

Yu Fu, Yanyan Huang, Yalin Wang, Shunjie Dong, Le Xue, Xunzhao Yin, Qianqian Yang, Yiyu Shi, Cheng Zhuo

arXiv preprint

2021

Cortical Morphometry Analysis based on Worst Transportation Theory

Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu

arXiv preprint

2021

Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy

Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Lepore, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang

arXiv preprint

2021

Topological Receptive Field Model for Human Retinotopic Mapping

Yanshuai Tu, Duyan Ta, Zhong-Lin Lu, Yalin Wang

arXiv preprint

2020

Deep Representation Learning For Multimodal Brain Networks

Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang

arXiv preprint

2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Arman Eshaghi, Tina Toni, Marcin Salaterski, Veronika Lunina, Manon Ansart, Stanley Durrleman, Pascal Lu, Samuel Iddi, Dan Li, Wesley K. Thompson, Michael C. Donohue, Aviv Nahon, Yarden Levy, Dan Halbersberg, Mariya Cohen, Huiling Liao, Tengfei Li, Kaixian Yu, Hongtu Zhu, Jose G. Tamez-Pena, Aya Ismail, Timothy Wood, Hector Corrada Bravo, Minh Nguyen, Nanbo Sun, Jiashi Feng, B. T. Thomas Yeo, Gang Chen, Ke Qi, Shiyang Chen, Deqiang Qiu, Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Mostafa M. Ghazi, Mads Nielsen, Sebastien Ourselin, Lauge Sorensen, Vikram Venkatraghavan, Keli Liu, Christina Rabe, Paul Manser, Steven M. Hill, James Howlett, Zhiyue Huang, Steven Kiddle, Sach Mukherjee, Anais Rouanet, Bernd Taschler, Brian D. M. Tom, Simon R. White, Noel Faux, Suman Sedai, Javier de Velasco Oriol, Edgar E. V. Clemente, Karol Estrada, Leon Aksman, Andre Altmann, Cynthia M. Stonnington, Yalin Wang, Jianfeng Wu, Vivek Devadas, Clementine Fourrier, Lars Lau Raket, Aristeidis Sotiras, Guray Erus, Jimit Doshi, Christos Davatzikos, Jacob Vogel, Andrew Doyle, Angela Tam, Alex Diaz-Papkovich, Emmanuel Jammeh, Igor Koval, Paul Moore, Terry J. Lyons, John Gallacher, Jussi Tohka, Robert Ciszek, Bruno Jedynak, Kruti Pandya, Murat Bilgel, William Engels, Joseph Cole, Polina Golland, Stefan Klein, Daniel C. Alexander

arXiv preprint

2020

Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping

Yanshuai Tu, Duyan Ta, Zhong-Lin Lu, Yalin Wang

arXiv preprint

2020

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

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

arXiv preprint

DOI

2019

Geometric Brain Surface Network For Brain Cortical Parcellation

Wen Zhang, Yalin Wang

arXiv preprint

2018

Brain Morphometry Analysis with Surface Foliation Theory

Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, David Xianfeng Gu

arXiv preprint

2018

Variational Wasserstein Clustering

Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang

arXiv preprint

2018

Regularized Wasserstein Means for Aligning Distributional Data

Liang Mi, Wen Zhang, Yalin Wang

arXiv preprint

2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression

Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

arXiv preprint

2017

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images

Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang

arXiv preprint

2016

Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions

Qingyang Li, Tao Yang, Liang Zhan, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

arXiv preprint

精选作品

期刊论文

Quadrotor navigation considering attitude: A deep reinforcement learning method using tangent path rewards

Modeling and reliability analysis of cascading failures in asymmetric interdependent hypergraphs

Information cascades in signed hypergraphs

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes

Metro Outbound Passenger Flow Forecasting Considering Spatial-Temporal Correlation Characteristics

会议论文

A coal price prediction method based on DeepSeek-R1 fusion of quantitative multi-scale event characterization

Learning Spatiotemporal Dependencies for Time Series Imputation via Adaptive Multi-task Gradient Guidance

DMA-Trans: A Difference Metric Attention with Position Distancebased Weighting for Transformer in Data Sequence Modeling of Industrial Processes

Day-Ahead Electric Load Forecasting Based on T2VC-Informer

Soft Sensor Model for Far Topological Feature Extraction Based On Variable Correlation Analysis-based Convolutional Neural Network

Attention-based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequence with Missing Values in Industrial Processes

Deep Learning for Data Modeling of Raw Material Analysis Samples Scarcity in Industrial Processes

Deep Learning-based Model Predictive Control with Exponential Data Weighting for Energy Management Systems

An effective feature extraction method for fault classification and its application to industrial processes

Robust extraction of industrial process conditions driven by operation events and time series segmentation

A spatial temporal neighborhood preserving method for feature learning with an industrial application

Uncertain optimization of industrial processes considering control loop performance

Computer Vision-Based Online Heterogeneity Assessment of the Sintering Transversal Thermal State

Deep Learning-based Inferential Sensor for Dynamic Industrial Processes with Spatial-temporal Attention-Based LSTM

ELM-based Real-time Prediction for Hydrogenolysis Degree of Hydrofining Reaction in Hydrocracking Process

Multi-dimensional feature analysis and outlier detection algorithm on water level of tailing pond

Classification for Raw Oil Inlet Conditions of Hydrocracking Process Based on Ratio Cluster

Stochastic Performance Assessment of the Controller with Complex Deterministic Trend Output and its Application

预印本

Expected Shortfall Panel Regression

Expected Shortfall Factor Models: Common Tail Losses and Expected Returns

EpiLENS: Patient-Relative Epileptogenic Zone Localization from Multi-Center Intracranial EEG

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures

Identity Preserving Latent Diffusion for Brain Aging Modeling

Schrödinger Diffusion Driven Signal Recovery in 3T BOLD fMRI Using Unmatched 7T Observations

Factor Modelling for Biclustering Large-dimensional Matrix-valued Time Series

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN

TransPCA for Large-dimensional Factor Analysis with Weak Factors: Power Enhancement via Knowledge Transfer

Quantification of Planar Cortical Magnification with Optimal Transport and Topological Smoothing

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration

A Recipe for Geometry-Aware 3D Mesh Transformers

Large-dimensional Robust Factor Analysis with Group Structure

Generalized Principal Component Analysis for Large-dimensional Matrix Factor Model

Characterizing visual cortical magnification with topological smoothing and optimal transportation

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images

SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

A new non-parametric Kendall's tau for matrix-valued elliptical observations

Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation

Functional2Structural: Cross-Modality Brain Networks Representation Learning

Distributed Learning for Principle Eigenspaces without Moment Constraints

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

Cortical Morphometry Analysis based on Worst Transportation Theory

Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy

Topological Receptive Field Model for Human Retinotopic Mapping

Deep Representation Learning For Multimodal Brain Networks

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

Geometric Brain Surface Network For Brain Cortical Parcellation

Brain Morphometry Analysis with Surface Foliation Theory

Variational Wasserstein Clustering

Regularized Wasserstein Means for Aligning Distributional Data

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images

Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions