Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. - Hongtu Zhu; Minggao Gu; Bradley S. Peterson (Stat. Comput., 2007)

Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds. - Ravi Bansal; Lawrence H. Staib; Dongrong Xu; Hongtu Zhu; Bradley S. Peterson (IEEE Trans. Medical Imaging, 2007)

A Statistical Analysis of Brain Morphology Using Wild Bootstrapping. - Hongtu Zhu; Joseph G. Ibrahim; Niansheng Tang; D. B. Rowe; Xuejun Hao; Ravi Bansal; Bradley S. Peterson (IEEE Trans. Medical Imaging, 2007)

A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. - Ying Yuan; Hongtu Zhu; Joseph G. Ibrahim; Weili Lin; Bradley S. Peterson (IEEE Trans. Medical Imaging, 2008)

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. - Songyuan Tang; Yong Fan 001; Hongtu Zhu; Pew-Thian Yap; Wei Gao; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. - Hongtu Zhu; Yimei Li; Joseph G. Ibrahim; Weili Lin; Dinggang Shen (IPMI, 2009)

Voxel-Wise Group Analysis of DTI. - Zhexing Liu; Hongtu Zhu; Bonita Marks; Laurence M. Katz; Casey Goodlett; Guido Gerig; Martin Andreas Styner (ISBI, 2009)

Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. - Yasheng Chen; Hongtu Zhu; Dinggang Shen; Hongyu An; John H. Gilmore; Weili Lin (MICCAI (1), 2009)

Intrinsic Regression Models for Manifold-Valued Data. - Xiaoyan Shi; Martin Styner; Jeffrey A. Lieberman; Joseph G. Ibrahim; Weili Lin; Hongtu Zhu (MICCAI (1), 2009)

Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (MICCAI (1), 2009)

Hierarchical unbiased group-wise registration for atlas construction and population comparison. - Yasheng Chen; Dinggang Shen; Hongtu Zhu; Hongyu An; John H. Gilmore; Weili Lin (Image Processing, 2009)

LSTGEE: longitudinal analysis of neuroimaging data. - Yimei Li; Hongtu Zhu; Yasheng Chen; Hongyu An; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

RADTI: regression analyses of diffusion tensor images. - Yimei Li; Hongtu Zhu; Yasheng Chen; Joseph G. Ibrahim; Hongyu An; Weili Lin; Colin Hall; Dinggang Shen (Image Processing, 2009)

White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. - Yasheng Chen; Hongyu An; Hongtu Zhu; Taylor Stone; J. Keith Smith; Colin Hall; Elizabeth Bullitt; Dinggang Shen; Weili Lin (NeuroImage, 2009)

A unified optimization approach for diffusion tensor imaging technique. - Wei Gao; Hongtu Zhu; Weili Lin (NeuroImage, 2009)

TIMER: Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (NeuroImage, 2009)

Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. - Yasheng Chen; Songbai Ji; Xunlei Wu; Hongyu An; Hongtu Zhu; Dinggang Shen; Weili Lin (MICCAI (2), 2010)

Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems. - Wei Gao; Hongtu Zhu; Kelly S. Giovanello; Weili Lin (MICCAI (2), 2010)

Multivariate Varying Coefficient Models for DTI Tract Statistics. - Hongtu Zhu; Martin Styner; Yimei Li; Linglong Kong; Yundi Shi; Weili Lin; Christopher L. Coe; John H. Gilmore (MICCAI (1), 2010)

F-TIMER: Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2010)

FRATS: Functional Regression Analysis of DTI Tract Statistics. - Hongtu Zhu; Martin Styner; Niansheng Tang; Zhexing Liu; Weili Lin; John H. Gilmore (IEEE Trans. Medical Imaging, 2010)

Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (MBIA, 2011)

Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. - Jiaping Wang; Hongtu Zhu; Jianqing Fan; Kelly S. Giovanello; Weili Lin (MICCAI (2), 2011)

Outcome quantification using SPHARM-PDM toolbox in orthognathic surgery. - Beatriz Paniagua; Lucia H. S. Cevidanes; Hongtu Zhu; Martin Styner (Int. J. Comput. Assist. Radiol. Surg., 2011)

Clinical application of SPHARM-PDM to quantify temporomandibular joint osteoarthritis. - Beatriz Paniagua; Lucia H. S. Cevidanes; David Walker; Hongtu Zhu; Ruixin Guo; Martin Styner (Comput. Medical Imaging Graph., 2011)

Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging. - Yasheng Chen; Hongyu An; Hongtu Zhu; Valerie Jewells; Diane Armao; Dinggang Shen; John H. Gilmore; Weili Lin (NeuroImage, 2011)

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. - Martha Skup; Hongtu Zhu; Yaping Wang; Kelly S. Giovanello; Ja-an Lin; Dinggang Shen; Feng Shi 001; Wei Gao; Weili Lin; Yong Fan 001; Heping Zhang (NeuroImage, 2011)

FADTTS: Functional analysis of diffusion tensor tract statistics. - Hongtu Zhu; Linglong Kong; Runze Li 001; Martin Styner; Guido Gerig; Weili Lin; John H. Gilmore (NeuroImage, 2011)

Semiparametric Bayesian local functional models for diffusion tensor tract statistics. - Zhaowei Hua; David B. Dunson; John H. Gilmore; Martin Andreas Styner; Hongtu Zhu (NeuroImage, 2012)

Comment. - Jiaping Wang; Haipeng Shen; Hongtu Zhu (Technometrics, 2012)

TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (IEEE Trans. Medical Imaging, 2012)

Diseased Region Detection of Longitudinal Knee MRI Data. - Chao Huang 005; Liang Shan 001; Cecil Charles; Marc Niethammer; Hongtu Zhu (IPMI, 2013)

A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics. - Ying Yuan; John H. Gilmore; Xiujuan Geng; Martin Andreas Styner; Kehui Chen; Jane-Ling Wang; Hongtu Zhu (IPMI, 2013)

UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction. - Audrey R. Verde; Jean-Baptiste Berger; Aditya Gupta; Mahshid Farzinfar; Adrien Kaiser; Vicki W. Chanon; Charlotte A. Boettiger; Hans J. Johnson; Joy T. Matsui; Anuja Sharma; Casey Goodlett; Yundi Shi; et al. (Image Processing, 2013)

Mapping longitudinal cerebral cortex development using diffusion tensor imaging. - Yaping Wang; Gang Li 001; Mihye Ahn; Jingxin Nie; Hongtu Zhu; Lei Guo 002 (Image Processing, 2013)

UNC-Utah NA-MIC framework for DTI fiber tract analysis. - Audrey R. Verde; François Budin; Jean-Baptiste Berger; Aditya Gupta; Mahshid Farzinfar; Adrien Kaiser; Mihye Ahn; Hans J. Johnson; Joy T. Matsui; Heather Cody Hazlett; Anuja Sharma; Casey Goodlett; et al. (Frontiers Neuroinformatics, 2013)

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. - Yimei Li; John H. Gilmore; Dinggang Shen; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2013)

Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. - Yasheng Chen; Hongyu An; Dinggang Shen; Hongtu Zhu; Weili Lin (ISBI, 2014)

SGPP: spatial Gaussian predictive process models for neuroimaging data. - Jung Won Hyun; Yimei Li; John H. Gilmore; Zhaohua Lu; Martin Andreas Styner; Hongtu Zhu (NeuroImage, 2014)

FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. - Ying Yuan; John H. Gilmore; Xiujuan Geng; Martin Andreas Styner; Kehui Chen; Jane-Ling Wang; Hongtu Zhu (NeuroImage, 2014)

Functional Nonlinear Mixed Effects Models for Longitudinal Image Data. - Xinchao Luo; Lixing Zhu; Linglong Kong; Hongtu Zhu (IPMI, 2015)

Spatially Weighted Principal Component Regression for High-Dimensional Prediction. - Dan Shen 002; Hongtu Zhu (IPMI, 2015)

FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. - Meiyan Huang; Thomas E. Nichols; Chao Huang 005; Yang Yu 053; Zhaohua Lu; Rebecca C. Knickmeyer; Qianjin Feng; Hongtu Zhu (NeuroImage, 2015)

Quantitative tract-based white matter heritability in twin neonates. - Seung Jae Lee; Rachel J. Steiner; Shikai Luo; Michael C. Neale; Martin Styner; Hongtu Zhu; John H. Gilmore (NeuroImage, 2015)

Cook's Distance Measures for Varying Coefficient Models With Functional Responses. - Qibing Gao; Mihye Ahn; Hongtu Zhu (Technometrics, 2015)

Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. - Chao Huang 005; Liang Shan 001; Cecil Charles; Wolfgang Wirth; Marc Niethammer; Hongtu Zhu (IEEE Trans. Medical Imaging, 2015)

Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. - Shan Yang; Vladimir Jojic; Jun Lian; Ronald C. Chen; Hongtu Zhu; Ming C. Lin (MICCAI (1), 2016)

Local Region Sparse Learning for Image-on-Scalar Regression. - Yao Chen; Xiao Wang 045; Linglong Kong; Hongtu Zhu (CoRR, 2016)

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. - Jung Won Hyun; Yimei Li; Chao Huang 005; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2016)

Conditional Local Distance Correlation for Manifold-Valued Data. - Wenliang Pan; Xueqin Wang; Canhong Wen; Martin Styner; Hongtu Zhu (IPMI, 2017)

HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. - Jingwen Zhang; Chao Huang 005; Joseph G. Ibrahim; Shaili Jha; Rebecca C. Knickmeyer; John H. Gilmore; Martin Styner; Hongtu Zhu (IPMI, 2017)

TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. - Fan Zhou 003; Tengfei Li 001; Heng Li; Hongtu Zhu (BrainLes@MICCAI, 2017)

FGWAS: Functional genome wide association analysis. - Chao Huang 005; Paul M. Thompson; Yalin Wang 001; Yang Yu 053; Jingwen Zhang; Dehan Kong; Rivka R. Colen; Rebecca C. Knickmeyer; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. - Zhaohua Lu; Zakaria Khondker; Joseph G. Ibrahim; Yue Wang 066; Hongtu Zhu (NeuroImage, 2017)

Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. - Wensheng Zhu; Ying Yuan; Jingwen Zhang; Fan Zhou 003; Rebecca C. Knickmeyer; Hongtu Zhu (NeuroImage, 2017)

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. - Zhaodong Wang; Zhiwei (Tony) Qin; Xiaocheng Tang; Jieping Ye; Hongtu Zhu (ICDM, 2018)

A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. - Tengfei Li 001; Fan Zhou 003; Ziliang Zhu; Hai Shu; Hongtu Zhu (ISBI, 2018)

Statistical disease mapping for heterogeneous neuroimaging studies. - Rongjie Liu; Chao Huang 005; Tengfei Li 001; Liuqing Yang; Hongtu Zhu (ISBI, 2018)

Automatic Brain Tumor Segmentation with Domain Adaptation. - Lutao Dai; Tengfei Li 001; Hai Shu; Liming Zhong; Haipeng Shen; Hongtu Zhu (BrainLes@MICCAI (2), 2018)

SlicerSALT: Shape AnaLysis Toolbox. - Jared Vicory; Laura Pascal; Pablo Hernandez; James Fishbaugh; Juan-Carlos Prieto 001; Mahmoud Mostapha; Chao Huang 005; Hina Shah; Jun-Pyo Hong; Zhiyuan Liu 012; Loic Michoud; Jean-Christophe Fillion-Robin; et al. (ShapeMI@MICCAI, 2018)

A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays. - Ching-Wei Wang; Yu-Ching Lee; Evelyne Calista; Fan Zhou 003; Hongtu Zhu; Ryohei Suzuki; Daisuke Komura; Shumpei Ishikawa; Shih-Ping Cheng (Bioinform., 2018)

A web-based system for neural network based classification in temporomandibular joint osteoarthritis. - 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 005; Hongtu Zhu; Luciana Muniz; et al. (Comput. Medical Imaging Graph., 2018)

SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. - Leo Yu-Feng Liu; Yufeng Liu; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

Mapping population-based structural connectomes. - Zhengwu Zhang; Maxime Descoteaux; Jingwen Zhang; Gabriel Girard; Maxime Chamberland; David B. Dunson; Anuj Srivastava; Hongtu Zhu (NeuroImage, 2018)

MFPCA: Multiscale Functional Principal Component Analysis. - Zhenhua Lin; Hongtu Zhu (AAAI, 2019)

Sensitivity Analysis of Deep Neural Networks. - Hai Shu; Hongtu Zhu (AAAI, 2019)

A Powerful Global Test Statistic for Functional Statistical Inference. - Jingwen Zhang; Joseph G. Ibrahim; Tengfei Li 001; Hongtu Zhu (AAAI, 2019)

Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. - Tao Huang; Yintai Ma; Zhiwei (Tony) Qin; Jianfeng Zheng; Henry X. Liu; Hongtu Zhu; Jieping Ye (IEEE BigData, 2019)

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). - Weinan Zhang 001; Haiming Jin; Lingyu Zhang 001; Hongtu Zhu; Zhenhui Jessie Li; Jieping Ye (CIKM, 2019)

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. - Haipeng Chen 001; Yan Jiao; Zhiwei (Tony) Qin; Xiaocheng Tang; Hao Li; Bo An 001; Hongtu Zhu; Jieping Ye (ICDM, 2019)

A Deep Value-network Based Approach for Multi-Driver Order Dispatching. - Xiaocheng Tang; Zhiwei (Tony) Qin; Fan Zhang 098; Zhaodong Wang; Zhe Xu; Yintai Ma; Hongtu Zhu; Jieping Ye (KDD, 2019)

Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. - Tengfei Li 001; Xifeng Wang; Tianyou Luo; Yue Yang; Bingxin Zhao; Liuqing Yang; Ziliang Zhu; Hongtu Zhu (ABCD-NP@MICCAI, 2019)

Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. - Fan Zhou 003; Tengfei Li 001; Haibo Zhou; Hongtu Zhu; Jieping Ye (NeurIPS, 2019)

Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. - Zhenyu Shou; Xuan Di; Jieping Ye; Hongtu Zhu; Robert C. Hampshire (CoRR, 2019)

Quantile regression for functional partially linear model in ultra-high dimensions. - Haiqiang Ma; Ting Li; Hongtu Zhu; Zhongyi Zhu (Comput. Stat. Data Anal., 2019)

Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys. - Brittany R. Howell; Mihye Ahn; Yundi Shi; Jodi R. Godfrey; Xiaoping Hu 001; Hongtu Zhu; Martin Styner; Mar Sanchez (NeuroImage, 2019)

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. - Brittany R. Howell; Martin A. Styner; Wei Gao; Pew-Thian Yap; Li Wang 026; Kristine Baluyot; Essa Yacoub; Geng Chen 001; Taylor Potts; Andrew P. Salzwedel; Gang Li 001; John H. Gilmore; et al. (NeuroImage, 2019)

Tensor network factorizations: Relationships between brain structural connectomes and traits. - Zhengwu Zhang; Genevera I. Allen; Hongtu Zhu; David B. Dunson (NeuroImage, 2019)

Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. - Jiarui Tang; Tengfei Li 001; Hai Shu; Hongtu Zhu (BrainLes@MICCAI (2), 2020)

A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. - Guojun Wu; Yanhua Li; Shikai Luo; Ge Song; Qichao Wang; Jing He; Jieping Ye; Xiaohu Qie; Hongtu Zhu (CIKM, 2020)

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. - Hai Shu; Zhe Qu; Hongtu Zhu (CoRR, 2020)

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. - Chengchun Shi; Xiaoyu Wang; Shikai Luo; Rui Song 006; Hongtu Zhu; Jieping Ye (CoRR, 2020)

Adversarial Image Generation and Training for Deep Convolutional Neural Networks. - Ronghua Shi; Hai Shu; Hongtu Zhu; Ziqi Chen 002 (CoRR, 2020)

Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. - Zhiwei (Tony) Qin; Xiaocheng Tang; Yan Jiao; Fan Zhang 098; Zhe Xu; Hongtu Zhu; Jieping Ye (INFORMS J. Appl. Anal., 2020)

Surface functional models. - Ziqi Chen; Jianhua Hu; Hongtu Zhu (J. Multivar. Anal., 2020)

The evolutionary history of 2,658 cancers. - 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; et al. (Nat., 2020)

(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. - Liming Zhong; Tengfei Li 001; Hai Shu; Chao Huang 005; Jason M. Johnson; Donald F. Schomer; Ho-Ling Liu; Qianjin Feng; Wei Yang 006; Hongtu Zhu (NeuroImage, 2020)

Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. - Chunyi Liu; Hao Feng; Jiang Xu; Zhiwei Tony Qin; Hongtu Zhu (IEEE BigData, 2021)

Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. - Fan Zhou 003; Chenfan Lu; Xiaocheng Tang; Fan Zhang 098; Zhiwei (Tony) Qin; Jieping Ye; Hongtu Zhu (ICDM, 2021)

Reinforcement Learning for Ridesharing: A Survey. - Zhiwei (Tony) Qin; Hongtu Zhu; Jieping Ye (ITSC, 2021)

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. - Xiaocheng Tang; Fan Zhang 098; Zhiwei (Tony) Qin; Yansheng Wang; Dingyuan Shi; Bingchen Song; Yongxin Tong; Hongtu Zhu; Jieping Ye (KDD, 2021)

Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. - Yan Jiao; Xiaocheng Tang; Zhiwei (Tony) Qin; Shuaiji Li; Fan Zhang 098; Hongtu Zhu; Jieping Ye (CoRR, 2021)

Clusterwise functional linear regression models. - Ting Li; Xinyuan Song; Yingying Zhang; Hongtu Zhu; Zhongyi Zhu (Comput. Stat. Data Anal., 2021)

Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. - Meiling Hao; Lianqiang Qu; Dehan Kong; Liuquan Sun; Hongtu Zhu (J. Mach. Learn. Res., 2021)

An Online Sequential Test for Qualitative Treatment Effects. - Chengchun Shi; Shikai Luo; Hongtu Zhu; Rui Song 006 (J. Mach. Learn. Res., 2021)

Scalable network estimation with L0 penalty. - Junghi Kim; Hongtu Zhu; Xiao Wang 045; Kim-Anh Do (Stat. Anal. Data Min., 2021)

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. - Hai Shu; Ronghua Shi; Qiran Jia; Hongtu Zhu; Ziqi Chen 002 (IJCNN, 2022)

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (KDD, 2022)

A comprehensive comparison on cell-type composition inference for spatial transcriptomics data. - Jiawen Chen 002; Weifang Liu; Tianyou Luo; Zhentao Yu; Minzhi Jiang; Jia Wen; Gaorav P. Gupta; Paola Giusti; Hongtu Zhu; Yuchen Yang; Yun Li (Briefings Bioinform., 2022)

A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. - Chengchun Shi; Runzhe Wan; Ge Song; Shikai Luo; Rui Song 006; Hongtu Zhu (CoRR, 2022)

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. - Chengchun Shi; Jin Zhu; Ye Shen; Shikai Luo; Hongtu Zhu; Rui Song 006 (CoRR, 2022)

Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. - Shikai Luo; Ying Yang; Chengchun Shi; Fang Yao; Jieping Ye; Hongtu Zhu (CoRR, 2022)

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. - Chengchun Shi; Shikai Luo; Hongtu Zhu; Rui Song 006 (CoRR, 2022)

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace. - Shu Wan 002; Chen Zheng; Zhonggen Sun; Mengfan Xu; Xiaoqing Yang; Hongtu Zhu; Jiecheng Guo (CoRR, 2022)

Intrinsic partial linear models for manifold-valued data. - Di Xiong; Shihui Ying; Hongtu Zhu (Inf. Process. Manag., 2022)

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. - Hai Shu; Zhe Qu; Hongtu Zhu (J. Mach. Learn. Res., 2022)

DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. - Chao Huang 005; Zhenlin Xu; Zhengyang Shen; Tianyou Luo; Tengfei Li 001; Daniel Nissman; Amanda Nelson; Yvonne Golightly; Marc Niethammer; Hongtu Zhu (Medical Image Anal., 2022)

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (SIGKDD Explor., 2022)

Nearest-Neighbor Sampling Based Conditional Independence Testing. - Shuai Li 020; Ziqi Chen 002; Hongtu Zhu; Christina Dan Wang; Wang Wen (AAAI, 2023)

Adversarial Learning of Distributional Reinforcement Learning. - Yang Sui; Yukun Huang; Hongtu Zhu; Fan Zhou 003 (ICML, 2023)

Controlling Neural Style Transfer with Deep Reinforcement Learning. - Chengming Feng; Jing Hu 009; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Xi Wu 004; Hongtu Zhu; Siwei Lyu (IJCAI, 2023)

KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. - Zhiwei (Tony) Qin; Rui Song 006; Jieping Ye; Hongtu Zhu; Michael I. Jordan (KDD, 2023)

DNet: Distributional Network for Distributional Individualized Treatment Effects. - Guojun Wu; Ge Song; Xiaoxiang Lv; Shikai Luo; Chengchun Shi; Hongtu Zhu (KDD, 2023)

Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. - Mengqi Wu; Lintao Zhang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Mingxia Liu 001 (MLMI@MICCAI (1), 2023)

Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making. - Ting Li; Chengchun Shi; Jianing Wang; Fan Zhou; Hongtu Zhu (NeurIPS, 2023)

K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing. - Shuai Li 020; Yingjie Zhang 004; Hongtu Zhu; Christina Dan Wang; Hai Shu; Ziqi Chen 002; Zhuoran Sun; Yanfeng Yang (NeurIPS, 2023)

Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing. - Ting Li; Chengchun Shi; Zhaohua Lu; Yi Li 006; Hongtu Zhu (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions. - Xinyu Gong; Jason Holmes; Yiwei Li 002; Zhengliang Liu; Qi Gan; Zihao Wu 001; Jianli Zhang; Yusong Zou; Yuxi Teng; Tian Jiang; Hongtu Zhu; Wei Liu 004; et al. (CoRR, 2023)

U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation. - Xin Wang 045; Xiaoyu Liu; Peng Huang; Pu Huang; Shu Hu 001; Hongtu Zhu (MedSAM@CVPR, 2024)

Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering. - Ying Huang 007; Zhengwang Wu; Ya Wang; Tengfei Li 001; Xifeng Wang; Hongtu Zhu; Weili Lin; Li Wang 026; Jun Feng; John H. Gilmore; Gang Li 001 (EMBC, 2024)

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models. - Peng Xia 005; Kangyu Zhu; Haoran Li 011; Hongtu Zhu; Yun Li 010; Gang Li; Linjun Zhang; Huaxiu Yao (EMNLP, 2024)

Combining Experimental and Historical Data for Policy Evaluation. - Ting Li; Chengchun Shi; Qianglin Wen; Yang Sui; Yongli Qin; Chunbo Lai; Hongtu Zhu (ICML, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Ming-Ching Chang; Hongtu Zhu; Xin Wang (MIPR, 2024)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. - Peng Xia 005; Ze Chen; Juanxi Tian; Yangrui Gong; Ruibo Hou; Yue Xu; Zhenbang Wu; Zhiyuan Fan; Yiyang Zhou; Kangyu Zhu; Wenhao Zheng; Zhaoyang Wang 004; et al. (NeurIPS, 2024)

Multimodal Clinical Trial Outcome Prediction with Large Language Models. - Wenhao Zheng; Dongsheng Peng; Hongxia Xu; Hongtu Zhu; Tianfan Fu; Huaxiu Yao (CoRR, 2024)

Neural Radiance Fields in Medical Imaging: Challenges and Next Steps. - Xin Wang 045; Shu Hu 001; Heng Fan 001; Hongtu Zhu; Xin Li 005 (CoRR, 2024)

Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences. - Runpeng Dai; Jianing Wang; Fan Zhou; Shikai Luo; Zhiwei Qin; Chengchun Shi; Hongtu Zhu (CoRR, 2024)

U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation. - Xin Wang; Xiaoyu Liu; Peng Huang; Pu Huang; Shu Hu 001; Hongtu Zhu (CoRR, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Connie W. Tsao; Xin Li 005; Ming-Ching Chang; Hongtu Zhu; Xin Wang 045 (CoRR, 2024)

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. - Zhaoyang Zhang; Ziqi Chen; Qiao Liu 008; Jinhan Xie; Hongtu Zhu (CoRR, 2024)

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization. - Kangyu Zhu; Peng Xia 005; Yun Li 010; Hongtu Zhu; Sheng Wang; Huaxiu Yao (CoRR, 2024)

Source-free unsupervised domain adaptation: A survey. - Yuqi Fang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Ming-Xia Liu 001 (Neural Networks, 2024)

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. - Qianqian Wang 004; Wei Wang 411; Yuqi Fang; Pew-Thian Yap; Hongtu Zhu; Hong-Jun Li; Lishan Qiao; Mingxia Liu 001 (IEEE Trans. Biomed. Eng., 2024)

Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets. - Shixiang Wan; Shikai Luo; Hongtu Zhu (ACM Trans. Spatial Algorithms Syst., 2024)

Enhancing Prediction Performance through Influence Measure. - Shuguang Yu; Wenqian Xu; Xinyi Zhou; Xuechun Wang; Hongtu Zhu; Fan Zhou (ICLR, 2025)

R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. - Yongheng Sun; Yueh Z. Lee; Genevieve A. Woodard; Hongtu Zhu; Chunfeng Lian; Mingxia Liu 001 (ISBI, 2025)

CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study. - Yue Shen; Jie Wang 005; Zhe Wang; Zhihao Shi; Hanzhu Chen; Zheng Wang; Yukang Jiang; Xiaopu Wang; Chuandong Cheng; Xueqin Wang; Hongtu Zhu; Jieping Ye (Artif. Intell. Medicine, 2025)

Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. - Yue Yang; Kaixian Yu; Shan Gao; Sheng Yu; Di Xiong; Chuanyang Qin; Huiyuan Chen; Jiarui Tang; Niansheng Tang; Hongtu Zhu (Comput. Biol. Medicine, 2025)

Enhancing missing data imputation through combined bipartite graph and complete directed graph. - Zhaoyang Zhang; Hongtu Zhu; Yingjie Zhang 004; Hai Shu; Ziqi Chen 002 (Neurocomputing, 2025)

Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection. - Xiaochuan Wang; Yuqi Fang; Qianqian Wang 004; Pew-Thian Yap; Hongtu Zhu; Mingxia Liu 001 (Medical Image Anal., 2025)

Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework. - Mengqi Wu; Lintao Zhang; Pew-Thian Yap; Hongtu Zhu; Mingxia Liu 001 (Neural Networks, 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Diffusion-empowered AutoPrompt MedSAM. - Peng Huang; Shu Hu 001; Bo Peng 006; Jiashu Zhang; Hongtu Zhu; Xi Wu 004; Xin Wang 045 (CoRR, 2025)

MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding. - Siwei Han; Peng Xia 005; Ruiyi Zhang; Tong Sun; Yun Li 010; Hongtu Zhu; Huaxiu Yao (CoRR, 2025)

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing. - Run Yang; Runpeng Dai; Siran Gao; Xiaocheng Tang; Fan Zhou; Hongtu Zhu (CoRR, 2025)

Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models. - Runpeng Dai; Run Yang; Fan Zhou; Hongtu Zhu (CoRR, 2025)

Deep Distributional Learning with Non-crossing Quantile Network. - Guohao Shen; Runpeng Dai; Guojun Wu; Shikai Luo; Chengchun Shi; Hongtu Zhu (CoRR, 2025)

High-Dimensional Dynamic Covariance Models with Random Forests. - Shuguang Yu; Fan Zhou; Yingjie Zhang; Ziqi Chen; Hongtu Zhu (CoRR, 2025)

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning. - Peng Xia; Jinglu Wang; Yibo Peng; Kaide Zeng; Xian Wu; Xiangru Tang; Hongtu Zhu; Yun Li; Shujie Liu 001; Yan Lu; Huaxiu Yao (CoRR, 2025)

R1-RE: Cross-Domain Relationship Extraction with RLVR. - Runpeng Dai; Tong Zheng; Run Yang; Hongtu Zhu (CoRR, 2025)