Hongtu Zhu
Orcid: 0000-0002-6781-2690
According to our database1,
Hongtu Zhu
authored at least 125 papers
between 2007 and 2024.
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Bibliography
2024
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework.
CoRR, 2024
2023
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor., 2022
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative.
Medical Image Anal., 2022
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.
J. Mach. Learn. Res., 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace.
CoRR, 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.
CoRR, 2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR, 2022
CoRR, 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.
CoRR, 2022
A comprehensive comparison on cell-type composition inference for spatial transcriptomics data.
Briefings Bioinform., 2022
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
J. Mach. Learn. Res., 2021
J. Mach. Learn. Res., 2021
CoRR, 2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2021
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
(TS)<sup>2</sup>WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients.
NeuroImage, 2020
INFORMS J. Appl. Anal., 2020
CoRR, 2020
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.
CoRR, 2020
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets.
CoRR, 2020
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Tensor network factorizations: Relationships between brain structural connectomes and traits.
NeuroImage, 2019
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
NeuroImage, 2019
Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys.
NeuroImage, 2019
Comput. Stat. Data Anal., 2019
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation).
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data.
NeuroImage, 2018
A web-based system for neural network based classification in temporomandibular joint osteoarthritis.
Comput. Medical Imaging Graph., 2018
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.
Bioinform., 2018
Proceedings of the Shape in Medical Imaging, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study.
NeuroImage, 2017
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies.
NeuroImage, 2017
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
NeuroImage, 2016
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Technometrics, 2015
NeuroImage, 2015
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.
NeuroImage, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data.
NeuroImage, 2014
NeuroImage, 2014
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.
NeuroImage, 2013
Frontiers Neuroinformatics, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics.
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.
IEEE Trans. Medical Imaging, 2012
Semiparametric Bayesian local functional models for diffusion tensor tract statistics.
NeuroImage, 2012
2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage, 2011
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
NeuroImage, 2011
Clinical application of SPHARM-PDM to quantify temporomandibular joint osteoarthritis.
Comput. Medical Imaging Graph., 2011
Int. J. Comput. Assist. Radiol. Surg., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
2010
IEEE Trans. Medical Imaging, 2010
IEEE Trans. Medical Imaging, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
NeuroImage, 2009
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients.
NeuroImage, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Hierarchical unbiased group-wise registration for atlas construction and population comparison.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images.
IEEE Trans. Medical Imaging, 2008
2007
IEEE Trans. Medical Imaging, 2007
Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds.
IEEE Trans. Medical Imaging, 2007
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.
Stat. Comput., 2007