Hongtu Zhu

184 papers A* 23A 2B 6Journal 112Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training.
CoRR
David L. Donoho, Jian Kang, Xihong Lin, Bhramar Mukherjee, Dan Nettleton, Rebecca Nugent, Abel Rodriguez, Eric P. Xing, Tian Zheng, Hongtu Zhu
2026 — conf
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models.
EACL (Volume 1: Long Papers)
Runpeng Dai, Run Yang, Fan Zhou, Hongtu Zhu
2026 J jnl
Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning.
CoRR
Xiangkun Wu, Qianglin Wen, Yingying Zhang, Hongtu Zhu, Ting Li, Chengchun Shi
2026 J jnl
Large language models for bioinformatics.
Quant. Biol.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2026 J jnl
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution.
CoRR
Jianwen Chen, Xinyu Yang, Peng Xia, Arian Azarang, Yueh Z. Lee, Gang Li, Hongtu Zhu, Yun Li, Beidi Chen, Huaxiu Yao
2026 J jnl
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing.
CoRR
Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang
2026 J jnl
RL-I2IT: Image-to-image translation with deep reinforcement learning.
Neural Networks
Jing Hu, Ziwei Luo, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Xin Li, Hongtu Zhu, Siwei Lyu, Xin Wang
2026 J jnl
Statistical Opportunities in Neuroimaging.
CoRR
Jian Kang, Thomas E. Nichols, Lexin Li, Martin A. Lindquist, Hongtu Zhu
2025 — conf
AI-Driven Multimodal TMJ Patient Modeling: From Unstructured Notes to Precision Treatment.
CLIP@MICCAI
Alban Gaydamour, Enzo Tulissi, Claudia Mattos, Rodrigo Teixeira, Maxwell Shin, Adam Hershey, Anabelle Kwon, Felicia Miranda, Marcela Gurgel, Selene Barone, Aron Aliaga, Marilia Yatabe, Paulo Zupelari, Marina Zupelari, David Hanauer, Nina Hsu, Steve Pieper, Eduardo Caleme, Jonas Bianchi, Joao Goncalves, Daniela Goncalves, Lawrence Wolford, Antonio C. Ruellas, Juan Prieto, Tengfei Li, Hongtu Zhu, Runpeng Dai, Martin Styner, Najla Al Turkestani, Alexandre F. DaSilva, Lucia H. S. Cevidanes
2025 J jnl
Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction.
Comput. Biol. Medicine
Yue Yang, Kaixian Yu, Shan Gao, Sheng Yu, Di Xiong, Chuanyang Qin, Huiyuan Chen, Jiarui Tang, Niansheng Tang, Hongtu Zhu
2025 J jnl
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models.
CoRR
Runpeng Dai, Run Yang, Fan Zhou, Hongtu Zhu
2025 J jnl
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study.
Artif. Intell. Medicine
Yue Shen, Jie Wang, Zhe Wang, Zhihao Shi, Hanzhu Chen, Zheng Wang, Yukang Jiang, Xiaopu Wang, Chuandong Cheng, Xueqin Wang, Hongtu Zhu, Jieping Ye
2025 J jnl
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models.
CoRR
Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu
2025 J jnl
Deep Distributional Learning with Non-crossing Quantile Network.
CoRR
Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu
2025 J jnl
Diffusion-empowered AutoPrompt MedSAM.
CoRR
Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Hongtu Zhu, Xi Wu, Xin Wang
2025 J jnl
Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework.
Neural Networks
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2025 A* conf
Enhancing Prediction Performance through Influence Measure.
ICLR
Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou
2025 J jnl
Enhancing missing data imputation through combined bipartite graph and complete directed graph.
Neurocomputing
Zhaoyang Zhang, Hongtu Zhu, Yingjie Zhang, Hai Shu, Ziqi Chen
2025 J jnl
High-Dimensional Dynamic Covariance Models with Random Forests.
CoRR
Shuguang Yu, Fan Zhou, Yingjie Zhang, Ziqi Chen, Hongtu Zhu
2025 — conf
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts.
EMNLP (Findings)
Wenhao Zheng, Liaoyaqi Wang, Dongsheng Peng, Hongxia Xu, Yun Li, Hongtu Zhu, Tianfan Fu, Huaxiu Yao
2025 J jnl
Large Language Models for Bioinformatics.
CoRR
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2025 J jnl
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding.
CoRR
Siwei Han, Peng Xia, Ruiyi Zhang, Tong Sun, Yun Li, Hongtu Zhu, Huaxiu Yao
2025 J jnl
MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning.
CoRR
Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Shujie Liu, Yan Lu, Huaxiu Yao
2025 A* conf
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization.
ICML
Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao
2025 J jnl
Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space.
J. Mach. Learn. Res.
Dan Yang, Jianlong Shao, Haipeng Shen, Hongtu Zhu
2025 J jnl
R1-RE: Cross-Domain Relationship Extraction with RLVR.
CoRR
Runpeng Dai, Tong Zheng, Run Yang, Hongtu Zhu
2025 — conf
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation.
ISBI
Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2025 — conf
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation.
KDD (2)
Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu
2025 J jnl
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection.
Medical Image Anal.
Xiaochuan Wang, Yuqi Fang, Qianqian Wang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2025 J jnl
Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing.
CoRR
Run Yang, Runpeng Dai, Siran Gao, Xiaocheng Tang, Fan Zhou, Hongtu Zhu
2025 — conf
TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth.
KDD (2)
Mihajlo Grbovic, Vladan Radosavljevic, Amit Goyal, Rui Song, Minmin Chen, Zhiwei Qin, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Hongtu Zhu, Fabrizio Silvestri
2025 A* conf
Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments.
ICML
Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu
2024 A* conf
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
NeurIPS
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 Y. Zou, Huaxiu Yao
2024 J jnl
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
CoRR
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
2024 J jnl
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences.
CoRR
Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu
2024 J jnl
Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets.
ACM Trans. Spatial Algorithms Syst.
Shixiang Wan, Shikai Luo, Hongtu Zhu
2024 A* conf
Combining Experimental and Historical Data for Policy Evaluation.
ICML
Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu
2024 J jnl
Combining Experimental and Historical Data for Policy Evaluation.
CoRR
Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu
2024 J jnl
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework.
CoRR
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu
2024 J jnl
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph.
CoRR
Zhaoyang Zhang, Hongtu Zhu, Ziqi Chen, Yingjie Zhang, Hai Shu
2024 J jnl
FPLS-DC: functional partial least squares through distance covariance for imaging genetics.
Bioinform.
Wenliang Pan, Yue Shan, Chuang Li, Shuai Huang, Tengfei Li, Yun Li, Hongtu Zhu
2024 J jnl
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
IEEE Trans. Biomed. Eng.
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2024 J jnl
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization.
CoRR
Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao
2024 J jnl
Multimodal Clinical Trial Outcome Prediction with Large Language Models.
CoRR
Wenhao Zheng, Dongsheng Peng, Hongxia Xu, Hongtu Zhu, Tianfan Fu, Huaxiu Yao
2024 J jnl
Neural Radiance Fields in Medical Imaging: Challenges and Next Steps.
CoRR
Xin Wang, Shu Hu, Heng Fan, Hongtu Zhu, Xin Li
2024 J jnl
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation.
CoRR
Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2024 A* conf
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.
EMNLP
Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao
2024 J jnl
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.
CoRR
Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao
2024 — conf
Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering.
EMBC
Ying Huang, Zhengwang Wu, Ya Wang, Tengfei Li, Xifeng Wang, Hongtu Zhu, Weili Lin, Li Wang, Jun Feng, John H. Gilmore, Gang Li
2024 J jnl
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation.
CoRR
Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu
2024 J jnl
Source-free unsupervised domain adaptation: A survey.
Neural Networks
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Ming-Xia Liu
2024 — conf
U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation.
MedSAM@CVPR
Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu
2024 J jnl
U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation.
CoRR
Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu
2024 — conf
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation.
MIPR
Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching Chang, Hongtu Zhu, Xin Wang
2024 J jnl
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation.
CoRR
Ting Yu Tsai, Li Lin, Shu Hu, Connie W. Tsao, Xin Li, Ming-Ching Chang, Hongtu Zhu, Xin Wang
2023 A* conf
Adversarial Learning of Distributional Reinforcement Learning.
ICML
Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou
2023 A* conf
Controlling Neural Style Transfer with Deep Reinforcement Learning.
IJCAI
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
2023 J jnl
Controlling Neural Style Transfer with Deep Reinforcement Learning.
CoRR
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
2023 A* conf
DNet: Distributional Network for Distributional Individualized Treatment Effects.
KDD
Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu
2023 J jnl
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing.
CoRR
Ting Li, Chengchun Shi, Zhaohua Lu, Yi Li, Hongtu Zhu
2023 J jnl
Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR
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
2023 J jnl
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.
CoRR
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
2023 A* conf
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.
NeurIPS
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
2023 A* conf
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.
KDD
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
2023 J jnl
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
CoRR
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2023 A* conf
Nearest-Neighbor Sampling Based Conditional Independence Testing.
AAAI
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
2023 J jnl
Nearest-Neighbor Sampling Based Conditional Independence Testing.
CoRR
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
2023 A* conf
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making.
NeurIPS
Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu
2023 J jnl
Source-Free Unsupervised Domain Adaptation: A Survey.
CoRR
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
2023 — conf
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation.
MLMI@MICCAI (1)
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
2022 J jnl
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.
CoRR
Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
2022 J jnl
A comprehensive comparison on cell-type composition inference for spatial transcriptomics data.
Briefings Bioinform.
Jiawen Chen, Weifang Liu, Tianyou Luo, Zhentao Yu, Minzhi Jiang, Jia Wen, Gaorav P. Gupta, Paola Giusti, Hongtu Zhu, Yuchen Yang, Yun Li
2022 J jnl
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.
J. Mach. Learn. Res.
Hai Shu, Zhe Qu, Hongtu Zhu
2022 J jnl
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative.
Medical Image Anal.
Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu
2022 A* conf
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
KDD
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022 J jnl
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace.
CoRR
Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo
2022 J jnl
Intrinsic partial linear models for manifold-valued data.
Inf. Process. Manag.
Di Xiong, Shihui Ying, Hongtu Zhu
2022 J jnl
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor.
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022 J jnl
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process.
CoRR
Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song
2022 J jnl
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
2022 J jnl
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.
CoRR
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2022 B conf
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks.
IJCNN
Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen
2021 J jnl
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
CoRR
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2021 J jnl
An Online Sequential Test for Qualitative Treatment Effects.
J. Mach. Learn. Res.
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2021 J jnl
Clusterwise functional linear regression models.
Comput. Stat. Data Anal.
Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, Zhongyi Zhu
2021 A* conf
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
ICDM
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu
2021 J jnl
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model.
J. Mach. Learn. Res.
Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu
2021 — conf
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling.
IEEE BigData
Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu
2021 J jnl
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
CoRR
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
2021 — conf
Reinforcement Learning for Ridesharing: A Survey.
ITSC
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 J jnl
Reinforcement Learning for Ridesharing: A Survey.
CoRR
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 J jnl
Scalable network estimation with L0 penalty.
Stat. Anal. Data Min.
Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do
2021 A* conf
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
KDD
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2021 J jnl
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
CoRR
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2020 J jnl
(TS)
NeuroImage
Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu
2020 A conf
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.
CIKM
Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
2020 J jnl
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.
CoRR
Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
2020 J jnl
Adversarial Image Generation and Training for Deep Convolutional Neural Networks.
CoRR
Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen
2020 J jnl
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets.
CoRR
Hai Shu, Zhe Qu, Hongtu Zhu
2020 J jnl
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
INFORMS J. Appl. Anal.
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
2020 J jnl
Surface functional models.
J. Multivar. Anal.
Ziqi Chen, Jianhua Hu, Hongtu Zhu
2020 J jnl
The evolutionary history of 2,658 cancers.
Nat.
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
2020 — conf
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu
2019 A* conf
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
KDD
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2019 A* conf
A Powerful Global Test Statistic for Functional Statistical Inference.
AAAI
Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu
2019 — conf
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost.
ABCD-NP@MICCAI
Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu
2019 A conf
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation).
CIKM
Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye
2019 J jnl
Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys.
NeuroImage
Brittany R. Howell, Mihye Ahn, Yundi Shi, Jodi R. Godfrey, Xiaoping Hu, Hongtu Zhu, Martin Styner, Mar Sanchez
2019 A* conf
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response.
NeurIPS
Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye
2019 A* conf
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
ICDM
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
2019 A* conf
MFPCA: Multiscale Functional Principal Component Analysis.
AAAI
Zhenhua Lin, Hongtu Zhu
2019 — conf
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
IEEE BigData
Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye
2019 J jnl
Quantile regression for functional partially linear model in ultra-high dimensions.
Comput. Stat. Data Anal.
Haiqiang Ma, Ting Li, Hongtu Zhu, Zhongyi Zhu
2019 A* conf
Sensitivity Analysis of Deep Neural Networks.
AAAI
Hai Shu, Hongtu Zhu
2019 J jnl
Sensitivity Analysis of Deep Neural Networks.
CoRR
Hai Shu, Hongtu Zhu
2019 J jnl
Tensor network factorizations: Relationships between brain structural connectomes and traits.
NeuroImage
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson
2019 J jnl
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
NeuroImage
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, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison
2019 J jnl
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach.
CoRR
Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire
2018 J jnl
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.
Bioinform.
Ching-Wei Wang, Yu-Ching Lee, Evelyne Calista, Fan Zhou, Hongtu Zhu, Ryohei Suzuki, Daisuke Komura, Shumpei Ishikawa, Shih-Ping Cheng
2018 — conf
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation.
ISBI
Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu
2018 J jnl
A web-based system for neural network based classification in temporomandibular joint osteoarthritis.
Comput. Medical Imaging Graph.
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
2018 — conf
Automatic Brain Tumor Segmentation with Domain Adaptation.
BrainLes@MICCAI (2)
Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu
2018 A* conf
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
ICDM
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
2018 J jnl
Mapping population-based structural connectomes.
NeuroImage
Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu
2018 J jnl
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data.
NeuroImage
Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative
2018 — conf
SlicerSALT: Shape AnaLysis Toolbox.
ShapeMI@MICCAI
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
2018 — conf
Statistical disease mapping for heterogeneous neuroimaging studies.
ISBI
Rongjie Liu, Chao Huang, Tengfei Li, Liuqing Yang, Hongtu Zhu
2017 J jnl
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies.
NeuroImage
Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu
2017 — conf
Conditional Local Distance Correlation for Manifold-Valued Data.
IPMI
Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu
2017 J jnl
FGWAS: Functional genome wide association analysis.
NeuroImage
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
2017 J jnl
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study.
NeuroImage
Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C. Knickmeyer, Hongtu Zhu
2017 — conf
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics.
IPMI
Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu
2017 — ed.
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings
IPMI
Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen
2017 — conf
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction.
BrainLes@MICCAI
Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu
2016 — conf
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis.
MICCAI (1)
Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin
2016 J jnl
Local Region Sparse Learning for Image-on-Scalar Regression.
CoRR
Yao Chen, Xiao Wang, Linglong Kong, Hongtu Zhu
2016 J jnl
STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data.
NeuroImage
Jung Won Hyun, Yimei Li, Chao Huang, Martin Styner, Weili Lin, Hongtu Zhu
2015 J jnl
Cook's Distance Measures for Varying Coefficient Models With Functional Responses.
Technometrics
Qibing Gao, Mihye Ahn, Hongtu Zhu
2015 J jnl
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data.
IEEE Trans. Medical Imaging
Chao Huang, Liang Shan, Cecil Charles, Wolfgang Wirth, Marc Niethammer, Hongtu Zhu
2015 J jnl
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.
NeuroImage
Meiyan Huang, Thomas E. Nichols, Chao Huang, Yang Yu, Zhaohua Lu, Rebecca C. Knickmeyer, Qianjin Feng, Hongtu Zhu
2015 — conf
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.
IPMI
Xinchao Luo, Lixing Zhu, Linglong Kong, Hongtu Zhu
2015 J jnl
Quantitative tract-based white matter heritability in twin neonates.
NeuroImage
Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore
2015 — conf
Spatially Weighted Principal Component Regression for High-Dimensional Prediction.
IPMI
Dan Shen, Hongtu Zhu
2014 J jnl
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data.
NeuroImage
Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin Andreas Styner, Kehui Chen, Jane-Ling Wang, Hongtu Zhu
2014 J jnl
SGPP: spatial Gaussian predictive process models for neuroimaging data.
NeuroImage
Jung Won Hyun, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Andreas Styner, Hongtu Zhu
2014 — conf
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study.
ISBI
Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin
2013 — conf
A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics.
IPMI
Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin Andreas Styner, Kehui Chen, Jane-Ling Wang, Hongtu Zhu
2013 — conf
Diseased Region Detection of Longitudinal Knee MRI Data.
IPMI
Chao Huang, Liang Shan, Cecil Charles, Marc Niethammer, Hongtu Zhu
2013 B conf
Mapping longitudinal cerebral cortex development using diffusion tensor imaging.
Image Processing
Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo
2013 J jnl
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.
NeuroImage
Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, Hongtu Zhu
2013 B conf
UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction.
Image Processing
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, Hongtu Zhu, Guido Gerig, Sylvain Gouttard, Clement Vachet, Martin Styner
2013 J jnl
UNC-Utah NA-MIC framework for DTI fiber tract analysis.
Frontiers Neuroinformatics
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, Yundi Shi, Sylvain Gouttard, Clement Vachet, Joseph Piven, Hongtu Zhu, Guido Gerig, Martin Andreas Styner
2012 J jnl
Comment.
Technometrics
Jiaping Wang, Haipeng Shen, Hongtu Zhu
2012 J jnl
Semiparametric Bayesian local functional models for diffusion tensor tract statistics.
NeuroImage
Zhaowei Hua, David B. Dunson, John H. Gilmore, Martin Andreas Styner, Hongtu Zhu
2012 J jnl
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.
IEEE Trans. Medical Imaging
Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu
2011 — conf
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI.
MICCAI (2)
Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin
2011 J jnl
Clinical application of SPHARM-PDM to quantify temporomandibular joint osteoarthritis.
Comput. Medical Imaging Graph.
Beatriz Paniagua, Lucia H. S. Cevidanes, David Walker, Hongtu Zhu, Ruixin Guo, Martin Styner
2011 J jnl
FADTTS: Functional analysis of diffusion tensor tract statistics.
NeuroImage
Hongtu Zhu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, John H. Gilmore
2011 J jnl
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
NeuroImage
Yasheng Chen, Hongyu An, Hongtu Zhu, Valerie Jewells, Diane Armao, Dinggang Shen, John H. Gilmore, Weili Lin
2011 J jnl
Outcome quantification using SPHARM-PDM toolbox in orthognathic surgery.
Int. J. Comput. Assist. Radiol. Surg.
Beatriz Paniagua, Lucia H. S. Cevidanes, Hongtu Zhu, Martin Styner
2011 J jnl
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage
Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan, Heping Zhang
2011 — conf
Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.
MBIA
Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu
2010 J jnl
F-TIMER: Fast Tensor Image Morphing for Elastic Registration.
IEEE Trans. Medical Imaging
Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2010 J jnl
FRATS: Functional Regression Analysis of DTI Tract Statistics.
IEEE Trans. Medical Imaging
Hongtu Zhu, Martin Styner, Niansheng Tang, Zhexing Liu, Weili Lin, John H. Gilmore
2010 — conf
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems.
MICCAI (2)
Wei Gao, Hongtu Zhu, Kelly S. Giovanello, Weili Lin
2010 — conf
Multivariate Varying Coefficient Models for DTI Tract Statistics.
MICCAI (1)
Hongtu Zhu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher L. Coe, John H. Gilmore
2010 — conf
Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM.
MICCAI (2)
Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin
2009 J jnl
A unified optimization approach for diffusion tensor imaging technique.
NeuroImage
Wei Gao, Hongtu Zhu, Weili Lin
2009 — conf
Fast Tensor Image Morphing for Elastic Registration.
MICCAI (1)
Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2009 B conf
Hierarchical unbiased group-wise registration for atlas construction and population comparison.
Image Processing
Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John H. Gilmore, Weili Lin
2009 — conf
Intrinsic Regression Models for Manifold-Valued Data.
MICCAI (1)
Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu
2009 B conf
LSTGEE: longitudinal analysis of neuroimaging data.
Image Processing
Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen
2009 — conf
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.
IPMI
Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen
2009 — conf
Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins.
MICCAI (1)
Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John H. Gilmore, Weili Lin
2009 B conf
RADTI: regression analyses of diffusion tensor images.
Image Processing
Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen
2009 — conf
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters.
CVPR Workshops
Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen
2009 — conf
TIMER: Tensor Image Morphing for Elastic Registration.
CVPR Workshops
Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2009 J jnl
TIMER: Tensor Image Morphing for Elastic Registration.
NeuroImage
Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2009 — conf
Voxel-Wise Group Analysis of DTI.
ISBI
Zhexing Liu, Hongtu Zhu, Bonita Marks, Laurence M. Katz, Casey Goodlett, Guido Gerig, Martin Andreas Styner
2009 J jnl
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients.
NeuroImage
Yasheng Chen, Hongyu An, Hongtu Zhu, Taylor Stone, J. Keith Smith, Colin Hall, Elizabeth Bullitt, Dinggang Shen, Weili Lin
2008 J jnl
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images.
IEEE Trans. Medical Imaging
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson
2007 J jnl
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping.
IEEE Trans. Medical Imaging
Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson
2007 J jnl
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.
Stat. Comput.
Hongtu Zhu, Minggao Gu, Bradley S. Peterson
2007 J jnl
Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds.
IEEE Trans. Medical Imaging
Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Hongtu Zhu, Bradley S. Peterson