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Hongming Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j23]Bojing Liu, Mengxiang Li, Zihui Ji, Hongming Li
, Ji Luo:
Intelligent Productivity Transformation: Corporate Market Demand Forecasting With the Aid of an AI Virtual Assistant. J. Organ. End User Comput. 36(1): 1-27 (2024) - [j22]Hongming Li
, Erick Delage
, Ning Zhu
, Michael L. Pinedo, Shoufeng Ma:
Distributional Robustness and Inequity Mitigation in Disaster Preparedness of Humanitarian Operations. Manuf. Serv. Oper. Manag. 26(1): 197-214 (2024) - [j21]Jianwen Zhang
, Hongming Li
, Xinyi Kong
, Jianqiao Zhou
, Gang Shi
, Jiajie Zang
, Jiacheng Wang
:
A Novel Multiple-Medium-AC-Port Power Electronic Transformer. IEEE Trans. Ind. Electron. 71(7): 6568-6578 (2024) - [i23]Yang Liu, Melissa Xiaohui Qin, Hongming Li, Chao Huang:
Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark for Language Models. CoRR abs/2405.02861 (2024) - 2023
- [j20]Hongming Li
, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur
, Desmond J. Oathes
, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan
:
Computing personalized brain functional networks from fMRI using self-supervised deep learning. Medical Image Anal. 85: 102756 (2023) - [j19]Zhen Zhou
, Hongming Li
, Dhivya Srinivasan, Ahmed Abdulkadir
, Ilya M. Nasrallah
, Junhao Wen, Jimit Doshi, Güray Erus
, Elizabeth Mamourian, R. Nick Bryan
, David A. Wolk, Lori L. Beason-Held
, Susan M. Resnick, Theodore D. Satterthwaite
, Christos Davatzikos, Haochang Shou, Yong Fan
:
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [j18]Hongming Li
, Jiahui Li, Yuanying Jiang
:
Exploring the Dynamic Impact between the Industries in China: New Perspective Based on Pattern Causality and Time-Varying Effect. Syst. 11(7): 318 (2023) - [c35]Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. AAAI 2023: 8562-8570 - [c34]Hongming Li, Yongchun Fang, Jinyang Dong, Hai Yu:
Backstepping-based adaptive control of indoor miniature airship. CRC 2023: 81-86 - [c33]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI 2023: 1-4 - [c32]Xi Liu, Hongming Li, Yong Fan:
Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data. ISBI 2023: 1-4 - [c31]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. ISBI 2023: 1-4 - [c30]Hao Zheng, Hongming Li, Yong Fan:
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. NeurIPS 2023 - [i22]Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR abs/2301.06574 (2023) - [i21]Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR abs/2301.08970 (2023) - [i20]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR abs/2301.11826 (2023) - [i19]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. CoRR abs/2303.02922 (2023) - [i18]Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan:
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CoRR abs/2311.10696 (2023) - 2022
- [j17]Dongxiu Ou, Ran Liu, Iftikhar Rasheed
, Lijuan Shi, Hongming Li:
Operation performance of tram lanes with intermittent priority with the coexistence of regular and automatic vehicles. J. Intell. Transp. Syst. 26(4): 486-497 (2022) - [j16]Hongming Li
, Zhi-De Deng
, Desmond J. Oathes
, Yong Fan
:
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning. NeuroImage 264: 119705 (2022) - [j15]Hongming Li, Ran Dou, Andreas Keil, José C. Príncipe
:
A self-learning cognitive architecture exploiting causality from rewards. Neural Networks 150: 274-292 (2022) - [c29]Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. ICASSP 2022: 3878-3882 - [c28]Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan:
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [i17]Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. CoRR abs/2202.02951 (2022) - 2021
- [j14]Xiaofeng Zhu
, Hongming Li
, Heng Tao Shen, Zheng Zhang
, Yanli Ji, Yong Fan:
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks. Inf. Fusion 75: 131-139 (2021) - [j13]Yuemeng Li, Hongming Li
, Yong Fan
:
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. Medical Image Anal. 70: 101991 (2021) - [j12]Shoufeng Ma, Hongming Li
, Ning Zhu
, Chenyi Fu:
Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty. J. Sched. 24(2): 137-174 (2021) - [c27]Hongming Li, José C. Príncipe:
Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. IJCNN 2021: 1-6 - 2020
- [j11]Qinmu Peng, Minhui Ouyang
, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, Hao Huang:
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks. Artif. Intell. Medicine 106: 101872 (2020) - [j10]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan
:
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. Medical Image Anal. 60 (2020) - [j9]Ying Ma
, Joseph Brooks, Hongming Li, José C. Príncipe
:
Procedural Memory Augmented Deep Reinforcement Learning. IEEE Trans. Artif. Intell. 1(2): 105-120 (2020) - [j8]Hangfan Liu
, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor
, Ying Xiao
, Edgar Ben-Josef, Yong Fan
:
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020) - [c26]Hongming Li, Ying Ma, José C. Príncipe:
Cognitive Architecture for Video Games. IJCNN 2020: 1-9 - [c25]Zhicheng Jiao
, Hongming Li, Yong Fan:
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. ISBI 2020: 1331-1334 - [c24]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data. ISBI 2020: 1347-1350 - [c23]Chongyue Zhao, Hongming Li, Zhicheng Jiao
, Tianming Du, Yong Fan:
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) 2020: 479-488 - [i16]Yuemeng Li, Hongming Li, Yong Fan:
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/2002.05773 (2020) - [i15]Hongming Li, Yong Fan:
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision. CoRR abs/2010.01465 (2020) - [i14]Hongming Li, Yong Fan:
Unsupervised deep learning for individualized brain functional network identification. CoRR abs/2012.06494 (2020)
2010 – 2019
- 2019
- [j7]Xianzhang Pan
, Guoliang Ying, Guodong Chen, Hongming Li, Wenshu Li:
A Deep Spatial and Temporal Aggregation Framework for Video-Based Facial Expression Recognition. IEEE Access 7: 48807-48815 (2019) - [j6]Teresa Martin-Carreras
, Hongming Li, Kumarasen Cooper, Yong Fan, Ronnie Sebro:
Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. BMC Medical Imaging 19(1): 67:1-67:9 (2019) - [j5]Jinping Xu, Jiaojian Wang
, Tongjian Bai, Xiaodong Zhang, Tian Li, Qingmao Hu, Hongming Li, Li Zhang, Qiang Wei, Yanghua Tian
, Kai Wang:
Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis. Int. J. Neural Syst. 29(7): 1950005:1-1950005:17 (2019) - [j4]Hongming Li, Yong Fan:
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks. NeuroImage 202 (2019) - [c22]Sarthak Pati
, Ashish Singh
, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha
, Dimitrios Bounias
, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari
, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
:
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c21]Hongming Li, Yong Fan:
Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. ISBI 2019: 368-371 - [c20]Hongming Li, Pamela Boimel, James Janopaul-Naylor
, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. ISBI 2019: 846-849 - [c19]Hangfan Liu
, Hongming Li, Pamela Boimel, James Janopaul-Naylor
, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI 2019: 1303-1306 - [c18]Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network. ISBI 2019: 1741-1744 - [c17]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu
, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. UNSURE/CLIP@MICCAI 2019: 146-154 - [c16]Hangfan Liu
, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor
, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [i13]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. CoRR abs/1901.01449 (2019) - [i12]Hongming Li, Yong Fan:
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. CoRR abs/1901.01451 (2019) - [i11]Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. CoRR abs/1901.01982 (2019) - [i10]Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan:
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. CoRR abs/1904.07282 (2019) - [i9]Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan:
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/1905.02686 (2019) - 2018
- [j3]Dongxiu Ou, Huang Yan, Hongming Li, Wei Li:
Optimization of Conflicting Tram Signal Priority Requests Based on Spatiotemporal Interlocking Logic Using Microscopic Simulation. Int. J. Softw. Eng. Knowl. Eng. 28(4): 507-522 (2018) - [c15]Xiaofeng Zhu, Hongming Li, Yong Fan:
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. AAAI 2018: 2660-2668 - [c14]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks. ISBI 2018: 101-104 - [c13]Hongming Li, Yong Fan:
Non-rigid image registration using self-supervised fully convolutional networks without training data. ISBI 2018: 1075-1078 - [c12]Hongming Li, Xiaofeng Zhu
, Yong Fan:
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. MICCAI (3) 2018: 223-231 - [c11]Hongming Li, Yong Fan:
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. MICCAI (3) 2018: 232-239 - [c10]Hongming Li, Yong Fan:
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. MICCAI (3) 2018: 320-328 - [i8]Hongming Li, Yong Fan:
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data. CoRR abs/1801.04012 (2018) - [i7]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks. CoRR abs/1801.04013 (2018) - [i6]Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. CoRR abs/1809.05557 (2018) - [i5]Hongming Li, Yong Fan:
Identification of temporal transition of functional states using recurrent neural networks from functional MRI. CoRR abs/1809.05560 (2018) - [i4]Hongming Li, Yong Fan:
Brain decoding from functional MRI using long short-term memory recurrent neural networks. CoRR abs/1809.05561 (2018) - [i3]Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images. CoRR abs/1811.04815 (2018) - 2017
- [j2]Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Large-scale sparse functional networks from resting state fMRI. NeuroImage 156: 1-13 (2017) - [i2]Hongming Li, Yong Fan:
Non-rigid image registration using fully convolutional networks with deep self-supervision. CoRR abs/1709.00799 (2017) - [i1]Hongming Li, Mohamad Habes, Yong Fan:
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. CoRR abs/1709.01599 (2017) - 2016
- [c9]Hongming Li, Ted Satterthwaite, Yong Fan:
Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method. ISBI 2016: 984-987 - [c8]Hongming Li, Yong Fan:
Individualized brain parcellation with integrated funcitonal and morphological information. ISBI 2016: 992-995 - 2014
- [c7]Hongming Li, Yong Fan:
Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. ISBI 2014: 329-332 - [c6]Hongming Li, Yong Fan:
Hierarchical organization of the functional brain identified using floating aggregation of functional signals. ISBI 2014: 537-540 - 2013
- [c5]Zhenyu Tang, Di Jiang, Hongming Li, Yong Fan:
Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. AE-CAI 2013: 249-257 - [c4]Hongming Li, Yong Fan:
Functional brain atlas construction for brain network analysis. Medical Imaging: Image Processing 2013: 86690C - 2012
- [c3]Hongming Li, Yong Fan:
Label propagation with robust initialization for brain tumor segmentation. ISBI 2012: 1715-1718 - [c2]Yuhui Du, Hongming Li, Hong Wu, Yong Fan:
Identification of subject specific and functional consistent ROIs using semi-supervised learning. Medical Imaging: Image Processing 2012: 83144S - 2010
- [c1]Hongming Li, Ming Song, Yong Fan:
Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation. ACCV (4) 2010: 606-617
2000 – 2009
- 2009
- [j1]Xingwei Wang, Lei Guo, Xuekui Wang, Yu Zhang, Xiaobing Zheng, Weigang Hou, Hongming Li, Hongpeng Wang:
A new algorithm based on auxiliary virtual topology for sub-path protection in WDM optical networks. Comput. Commun. 32(4): 777-781 (2009)
Coauthor Index
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