Jundong Liu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 36

Top Topics

Metric Learning

Top Venues

Pattern Recognit.

Publications

Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS (2024)
Marc Baltes, Nidal Abujahar, Ye Yue, Charles D. Smith, Jundong Liu
Joint ANN-SNN Co-training for Object Localization and Image Segmentation. CoRR (2023)
Yuanhang Zhang, Jundong Liu
Vertex-based Networks to Accelerate Path Planning Algorithms. CoRR (2023)
Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. ISBI (2023)
Sirui Song, Xi Qin, Jackson Brengman, Chris Bartone, Jundong Liu
Holistic FOD Detection Via Surface Map and Yolo Networks. MLSP (2023)
Marc Baltes, Nidal Abuhajar, Ye Yue, Charles D. Smith, Jundong Liu
Joint Ann-SNN Co-training for Object Localization and Image Segmentation. ICASSP (2023)
Wen Zhang, Penghao Jiao, Jundong Liu, Xionghui Zou
Comparison and Analysis of PVE Test Methods Based on OBD System. SmartIoT (2023)
Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation. CoRR (2023)
Yuanhang Zhang, Jundong Liu
Vertex-Based Networks to Accelerate Path Planning Algorithms. MLSP (2023)
Ruixuan Huang, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data. Comput. Biol. Medicine 155 (2023)
Jundong Liu, Peng Ren, Xinrong Lyu, Christos Grecos
A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images. Remote. Sens. 14 (16) (2022)
Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
Individualized Conditioning and Negative Distances for Speaker Separation. CoRR (2022)
Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
Individualized Conditioning and Negative Distances for Speaker Separation. ICMLA (2022)
Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. ICMLA (2022)
Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. CoRR (2022)
Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. ICMLA (2022)
Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models. CoRR (2022)
Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning. CoRR (2021)
Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. ICMLA (2021)
Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu
Residual Pyramid Fcn for Robust Follicle Segmentation. ISBI (2019)
Tao Sun, Zhewei Wang, Charles D. Smith, Jundong Liu
Trace-back Along Capsules and Its Application on Semantic Segmentation. CoRR (2019)
Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu
Dilated FCN: Listening Longer to Hear Better. WASPAA (2019)
Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu
Dilated FCN: Listening Longer to Hear Better. CoRR (2019)
Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu
Residual Pyramid FCN for Robust Follicle Segmentation. CoRR (2019)
Zhewei Wang, Charles D. Smith, Jundong Liu
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. CoRR (2018)
Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR (2018)
Bibo Shi, Jundong Liu
NN and SVMs through geometric transformations. Neurocomputing 318 (2018)
Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR (2018)
Zhewei Wang, Charles D. Smith, Jundong Liu
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. MLMI@MICCAI (2018)
Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognit. 63 (2017)
Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. Pattern Recognit. 66 (2017)
Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu
Hippocampus segmentation through multi-view ensemble ConvNets. ISBI (2017)
Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. MICCAI (3) (2017)
Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. MLMI@MICCAI (2017)
Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI (2016)
Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA (2016)
Bibo Shi, Jundong Liu
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR (2015)
Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. BMVC (2015)
Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI (2015)
Bibo Shi, Zhewei Wang, Jundong Liu
Distance-informed metric learning for Alzheimer's disease staging. EMBC (2014)
Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu
Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. EMBC (2013)
Huihui Xu, Jundong Liu
Spatial-awareness spectral embedding (SASE) for robust shape matching. ICASSP (2013)
Robert A. Colvin, Jundong Liu
Preface. BMC Bioinform. 13 (S-2) (2012)
Bibo Shi, Jundong Liu
Regularity-guaranteed transformation estimation in medical image registration. Medical Imaging: Image Processing (2012)
Shuisheng Xie, Jundong Liu, Charles D. Smith
Curve skeleton-based shape representation and classification. ICIP (2012)
Huihui Xu, Jundong Liu, Charles D. Smith
Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF). ICIP (2012)
Shuisheng Xie, Jundong Liu, Charles D. Smith
Riemannian Shape Analysis Based on Meridian Curves. ICMLA (1) (2012)
Bibo Shi, Jundong Liu
Non-Twist Regularization for Deformation Estimation. MIUA (2011)
Chad Mourning, Scott Nykl, Huihui Xu, David M. Chelberg, Jundong Liu
GPU Acceleration of Robust Point Matching. ISVC (3) (2010)
Jundong Liu, Charles D. Smith, Hima Chebrolu
Automatic Multiple Sclerosis detection based on integrated square estimation. CVPR Workshops (2009)
Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu
Distribution-based Level Set Segmentation for Brain MR Images. BMVC (2007)
Jundong Liu, Charles D. Smith, Hima Chebrolu
A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation. ACCV (1) (2007)
Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu
Automatic Subcortical Structure Segmentation Using Probabilistic Atlas. ISVC (1) (2007)
Shuisheng Xie, Jundong Liu, Darlene E. Berryman, Edward O. List, Charles D. Smith, Hima Chebrolu
A Robust Image Segmentation Model Based on Integrated Square Estimation. ISVC (2) (2007)
Jundong Liu
Robust Image Segmentation using Local Median. CRV (2006)
Jundong Liu, Yang Wang, Junhong Liu
A Unified Framework for Segmentation-Assisted Image Registration. ACCV (2) (2006)
Jundong Liu
Segmentation guided registration for medical images. Medical Imaging: Image Processing (2005)
Chunming Li, Jundong Liu, Martin D. Fox
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes. CVPR (1) (2005)
Chunming Li, Jundong Liu, Martin D. Fox
Segmentation of external force field for automatic initialization and splitting of snakes. Pattern Recognit. 38 (11) (2005)
Mingxiu Wei, Jundong Liu, Junhong Liu
Artifact reduction in mutual-information-based CT-MR image registration. Medical Imaging: Image Processing (2004)
Lin Yang, Jundong Liu, Charles Cavanaugh, Lonnie R. Welch
A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems. PDPTA (2003)
Jundong Liu
Artifacts reduction in mutual information-based image registration using prior information. ICIP (1) (2003)
Jundong Liu, Baba C. Vemuri, José L. Marroquín
Local Frequency Representations for Robust Multimodal Image Registration. IEEE Trans. Medical Imaging 21 (5) (2002)
Jundong Liu, Baba C. Vemuri, Frank J. Bova
Efficient multi-modal image registration using local-frequency maps. Mach. Vis. Appl. 13 (3) (2002)
Jundong Liu
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration. VMV (2001)
Baba C. Vemuri, Jundong Liu, José L. Marroquín
Robust Multimodal Image Registration Using Local Frequency Representations. IPMI (2001)
Baba C. Vemuri, Jundong Liu
Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. MICCAI (2001)