Hongtu Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 91

Top Venues

Publications

Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR (2024)
Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Hongtu Zhu, Tianfan Fu, Huaxiu Yao
Multimodal Clinical Trial Outcome Prediction with Large Language Models. CoRR (2024)
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71 (8) (2024)
Xin Wang, Shu Hu, Heng Fan, Hongtu Zhu, Xin Li
Neural Radiance Fields in Medical Imaging: Challenges and Next Steps. CoRR (2024)
Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu
Combining Experimental and Historical Data for Policy Evaluation. CoRR (2024)
Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences. CoRR (2024)
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Ming-Xia Liu
Source-free unsupervised domain adaptation: A survey. Neural Networks 174 (2024)
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR (2024)
Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models. CoRR (2024)
Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu
An Analysis of Switchback Designs in Reinforcement Learning. CoRR (2024)
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
Controlling Neural Style Transfer with Deep Reinforcement Learning. IJCAI (2023)
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
Nearest-Neighbor Sampling Based Conditional Independence Testing. AAAI (2023)
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
Controlling Neural Style Transfer with Deep Reinforcement Learning. CoRR (2023)
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR (2023)
Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD (2023)
Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou
Adversarial Learning of Distributional Reinforcement Learning. ICML (2023)
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
Nearest-Neighbor Sampling Based Conditional Independence Testing. CoRR (2023)
Xinyu Gong, Jason Holmes, Yiwei Li, Zhengliang Liu, Qi Gan, Zihao Wu, Jianli Zhang, Yusong Zou, Yuxi Teng, Tian Jiang, Hongtu Zhu, Wei Liu, Tianming Liu, Yajun Yan
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions. CoRR (2023)
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) (2023)
Ting Li, Chengchun Shi, Zhaohua Lu, Yi Li, Hongtu Zhu
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing. CoRR (2023)
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR (2023)
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD (2023)
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR (2023)
Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making. NeurIPS (2023)
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing. NeurIPS (2023)
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR (2022)
Di Xiong, Shihui Ying, Hongtu Zhu
Intrinsic partial linear models for manifold-valued data. Inf. Process. Manag. 59 (4) (2022)
Hai Shu, Zhe Qu, Hongtu Zhu
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. J. Mach. Learn. Res. 23 (2022)
Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR (2022)
Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR (2022)
Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. 77 (2022)
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD (2022)
Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. IJCNN (2022)
Jiawen Chen, Weifang Liu, Tianyou Luo, Zhentao Yu, Minzhi Jiang, Jia Wen, Gaorav P. Gupta, Paola Giusti, Hongtu Zhu, Yuchen Yang, Yun Li
A comprehensive comparison on cell-type composition inference for spatial transcriptomics data. Briefings Bioinform. 23 (4) (2022)
Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace. CoRR (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24 (2) (2022)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. ITSC (2021)
Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. J. Mach. Learn. Res. 22 (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD (2021)
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. 22 (2021)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR (2021)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. CoRR (2021)
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR (2021)
Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, Zhongyi Zhu
Clusterwise functional linear regression models. Comput. Stat. Data Anal. 158 (2021)
Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. IEEE BigData (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR (2021)
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM (2021)
Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do
Scalable network estimation with L0 penalty. Stat. Anal. Data Min. 14 (1) (2021)
Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff MacIntyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo
The evolutionary history of 2,658 cancers. Nat. 578 (7793) (2020)
Hai Shu, Zhe Qu, Hongtu Zhu
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. CoRR (2020)
Ziqi Chen, Jianhua Hu, Hongtu Zhu
Surface functional models. J. Multivar. Anal. 180 (2020)
Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu
WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage 223 (2020)
Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR (2020)
Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM (2020)
Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen
Adversarial Image Generation and Training for Deep Convolutional Neural Networks. CoRR (2020)
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. 50 (5) (2020)
Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. IEEE BigData (2019)
Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. CoRR (2019)
Zhenhua Lin, Hongtu Zhu
MFPCA: Multiscale Functional Principal Component Analysis. AAAI (2019)
Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu
A Powerful Global Test Statistic for Functional Statistical Inference. AAAI (2019)
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson
Tensor network factorizations: Relationships between brain structural connectomes and traits. NeuroImage 197 (2019)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD (2019)
Hai Shu, Hongtu Zhu
Sensitivity Analysis of Deep Neural Networks. CoRR (2019)
Hai Shu, Hongtu Zhu
Sensitivity Analysis of Deep Neural Networks. AAAI (2019)
Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. ABCD-NP@MICCAI (2019)
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM (2019)
Haiqiang Ma, Ting Li, Hongtu Zhu, Zhongyi Zhu
Quantile regression for functional partially linear model in ultra-high dimensions. Comput. Stat. Data Anal. 129 (2019)
Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). CIKM (2019)
Brittany R. Howell, Mihye Ahn, Yundi Shi, Jodi R. Godfrey, Xiaoping Hu, Hongtu Zhu, Martin Styner, Mar Sanchez
Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys. NeuroImage 197 (2019)
Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kamil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185 (2019)
Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS (2019)
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM (2018)
Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. NeuroImage 175 (2018)
Priscille de Dumast, Clément Mirabel, Lucia H. S. Cevidanes, Antonio C. Ruellas, Marilia Yatabe, Marcos Ioshida, Nina Tubau Ribera, Loic Michoud, Liliane R. Gomes, Chao Huang, Hongtu Zhu, Luciana Muniz, Brandon Shoukri, Beatriz Paniagua, Martin Styner, Steve Pieper, François Budin, Jean-Baptiste Vimort, Juan-Carlos Prieto
A web-based system for neural network based classification in temporomandibular joint osteoarthritis. Comput. Medical Imaging Graph. 67 (2018)
Rongjie Liu, Chao Huang, Tengfei Li, Liuqing Yang, Hongtu Zhu
Statistical disease mapping for heterogeneous neuroimaging studies. ISBI (2018)
Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu
Mapping population-based structural connectomes. NeuroImage 172 (2018)
Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan-Carlos Prieto, Mahmoud Mostapha, Chao Huang, Hina Shah, Jun-Pyo Hong, Zhiyuan Liu, Loic Michoud, Jean-Christophe Fillion-Robin, Guido Gerig, Hongtu Zhu, Stephen M. Pizer, Martin Styner, Beatriz Paniagua
SlicerSALT: Shape AnaLysis Toolbox. ShapeMI@MICCAI (2018)
Ching-Wei Wang, Yu-Ching Lee, Evelyne Calista, Fan Zhou, Hongtu Zhu, Ryohei Suzuki, Daisuke Komura, Shumpei Ishikawa, Shih-Ping Cheng
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays. Bioinform. 34 (10) (2018)
Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu
Automatic Brain Tumor Segmentation with Domain Adaptation. BrainLes@MICCAI (2) (2018)
Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. ISBI (2018)
Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (2017)
Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. IPMI (2017)
Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. NeuroImage 149 (2017)
Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu
Conditional Local Distance Correlation for Manifold-Valued Data. IPMI (2017)
Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C. Knickmeyer, Hongtu Zhu
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. NeuroImage 146 (2017)
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 (2017)
Yao Chen, Xiao Wang, Linglong Kong, Hongtu Zhu
Local Region Sparse Learning for Image-on-Scalar Regression. CoRR (2016)
Jung Won Hyun, Yimei Li, Chao Huang, Martin Styner, Weili Lin, Hongtu Zhu
STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. NeuroImage 134 (2016)
Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. MICCAI (1) (2016)
Xinchao Luo, Lixing Zhu, Linglong Kong, Hongtu Zhu
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data. IPMI (2015)
Dan Shen, Hongtu Zhu
Spatially Weighted Principal Component Regression for High-Dimensional Prediction. IPMI (2015)
Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore
Quantitative tract-based white matter heritability in twin neonates. NeuroImage 111 (2015)
Chao Huang, Liang Shan, Cecil Charles, Wolfgang Wirth, Marc Niethammer, Hongtu Zhu
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. IEEE Trans. Medical Imaging 34 (9) (2015)
Meiyan Huang, Thomas E. Nichols, Chao Huang, Yang Yu, Zhaohua Lu, Rebecca C. Knickmeyer, Qianjin Feng, Hongtu Zhu
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. NeuroImage 118 (2015)
Qibing Gao, Mihye Ahn, Hongtu Zhu
Cook's Distance Measures for Varying Coefficient Models With Functional Responses. Technometrics 57 (2) (2015)
Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin Andreas Styner, Kehui Chen, Jane-ling Wang, Hongtu Zhu
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. NeuroImage 84 (2014)
Jung Won Hyun, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Andreas Styner, Hongtu Zhu
SGPP: spatial Gaussian predictive process models for neuroimaging data. NeuroImage 89 (2014)
Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. ISBI (2014)

Hongtu Zhu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hongtu Zhu