Jundong Liu - RankMe

74 papers A 3B 6C 6Misc 3Journal 24Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A hybrid inversion algorithm to obtain the resistivity of the uninvaded zone based on the array induction log. Comput. Geosci. Xinmin Ge, Mohmmed Ishag, Haiyan Li, Jundong Liu, Cuixia Qu, Badreldein Mohamed
2025	J	`jnl`	Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning. Frontiers Robotics AI Sirui Song, Trevor Bihl, Jundong Liu
2025	—	`conf`	Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis. VISIGRAPP (3): VISAPP Rajashree Majumder, Zhewei Wang, Ye Yue, Mukut Kalita, Jundong Liu
2025	—	`conf`	Toward Low-SWaP Cognitive Agents: Neuromorphic Intelligence and FPGA-Based Deployments of Event Neural Networks. ICCVW Trevor Bihl, Rajashree Majumder, Zhewei Wang, Avinash Karanth, Jundong Liu
2024	—	`conf`	Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs
2024	—	`conf`	Multi-class Prediction of Cognitively Normal / Mild Cognitive Impairment / Alzheimer's Disease Status in Dementia Based on Convolutional Neural Networks with Attention Mechanism. EMBC Mingwei Yao, Jundong Liu, Yuping Pu, Kei Hang Katie Chan
2024	—	`conf`	Robust FOD Detection using Frame Sequence-based DEtection TRansformer (DETR). CAI Xi Qin, Sirui Song, Jackson Brengman, Chris Bartone, Jundong Liu
2024	C	`conf`	Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-Ray Coronary Angiography. ICMLA Zhewei Wang, Jundong Liu
2023	—	`conf`	Comparison and Analysis of PVE Test Methods Based on OBD System. SmartIoT Wen Zhang, Penghao Jiao, Jundong Liu, Xionghui Zou
2023	—	`conf`	Holistic FOD Detection Via Surface Map and Yolo Networks. MLSP Sirui Song, Xi Qin, Jackson Brengman, Chris Bartone, Jundong Liu
2023	J	`jnl`	Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation. CoRR Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
2023	—	`conf`	Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. ISBI Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
2023	J	`jnl`	Joint ANN-SNN Co-training for Object Localization and Image Segmentation. CoRR Marc Baltes, Nidal Abujahar, Ye Yue, Charles D. Smith, Jundong Liu
2023	Misc	`conf`	Joint Ann-SNN Co-training for Object Localization and Image Segmentation. ICASSP Marc Baltes, Nidal Abuhajar, Ye Yue, Charles D. Smith, Jundong Liu
2023	J	`jnl`	Stroke mortality prediction based on ensemble learning and the combination of structured and textual data. Comput. Biol. Medicine Ruixuan Huang, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan
2023	—	`conf`	Vertex-Based Networks to Accelerate Path Planning Algorithms. MLSP Yuanhang Zhang, Jundong Liu
2023	J	`jnl`	Vertex-based Networks to Accelerate Path Planning Algorithms. CoRR Yuanhang Zhang, Jundong Liu
2022	J	`jnl`	A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models. CoRR Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
2022	J	`jnl`	A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images. Remote. Sens. Jundong Liu, Peng Ren, Xinrong Lyu, Christos Grecos
2022	C	`conf`	Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. ICMLA Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
2022	C	`conf`	Individualized Conditioning and Negative Distances for Speaker Separation. ICMLA Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
2022	J	`jnl`	Individualized Conditioning and Negative Distances for Speaker Separation. CoRR Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
2022	C	`conf`	Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. ICMLA Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
2022	J	`jnl`	Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. CoRR Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
2021	C	`conf`	Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. ICMLA Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
2021	J	`jnl`	Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning. CoRR Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan
2019	—	`conf`	Dilated FCN: Listening Longer to Hear Better. WASPAA Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu
2019	J	`jnl`	Dilated FCN: Listening Longer to Hear Better. CoRR Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu
2019	J	`jnl`	Residual Pyramid FCN for Robust Follicle Segmentation. CoRR Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu
2019	—	`conf`	Residual Pyramid Fcn for Robust Follicle Segmentation. ISBI Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu
2019	J	`jnl`	Trace-back Along Capsules and Its Application on Semantic Segmentation. CoRR Tao Sun, Zhewei Wang, Charles D. Smith, Jundong Liu
2018	—	`conf`	Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. MLMI@MICCAI Zhewei Wang, Charles D. Smith, Jundong Liu
2018	J	`jnl`	Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. CoRR Zhewei Wang, Charles D. Smith, Jundong Liu
2018	B	`conf`	Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
2018	J	`jnl`	Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu
2018	J	`jnl`	Nonlinear metric learning for Neurocomputing Bibo Shi, Jundong Liu
2017	—	`conf`	Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. MLMI@MICCAI Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu
2017	J	`jnl`	Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. Pattern Recognit. Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
2017	—	`conf`	Hippocampus segmentation through multi-view ensemble ConvNets. ISBI Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu
2017	—	`conf`	Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. MICCAI (3) Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
2017	J	`jnl`	Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognit. Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu
2016	C	`conf`	Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
2016	—	`conf`	Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
2015	—	`conf`	Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu
2015	A	`conf`	Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. BMVC Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu
2015	J	`jnl`	Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR Bibo Shi, Jundong Liu
2014	—	`conf`	Distance-informed metric learning for Alzheimer's disease staging. EMBC Bibo Shi, Zhewei Wang, Jundong Liu
2013	—	`conf`	Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. EMBC Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu
2013	Misc	`conf`	Spatial-awareness spectral embedding (SASE) for robust shape matching. ICASSP Huihui Xu, Jundong Liu
2012	B	`conf`	Curve skeleton-based shape representation and classification. ICIP Shuisheng Xie, Jundong Liu, Charles D. Smith
2012	J	`jnl`	Preface. BMC Bioinform. Robert A. Colvin, Jundong Liu
2012	B	`conf`	Regularity-guaranteed transformation estimation in medical image registration. Image Processing Bibo Shi, Jundong Liu
2012	—	`conf`	Riemannian Shape Analysis Based on Meridian Curves. ICMLA (1) Shuisheng Xie, Jundong Liu, Charles D. Smith
2012	B	`conf`	Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF). ICIP Huihui Xu, Jundong Liu, Charles D. Smith
2011	—	`conf`	Non-Twist Regularization for Deformation Estimation. MIUA Bibo Shi, Jundong Liu
2010	—	`conf`	GPU Acceleration of Robust Point Matching. ISVC (3) Chad Mourning, Scott Nykl, Huihui Xu, David M. Chelberg, Jundong Liu
2009	—	`conf`	Automatic Multiple Sclerosis detection based on integrated square estimation. CVPR Workshops Jundong Liu, Charles D. Smith, Hima Chebrolu
2007	—	`conf`	A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation. ACCV (1) Jundong Liu, Charles D. Smith, Hima Chebrolu
2007	—	`conf`	A Robust Image Segmentation Model Based on Integrated Square Estimation. ISVC (2) Shuisheng Xie, Jundong Liu, Darlene E. Berryman, Edward O. List, Charles D. Smith, Hima Chebrolu
2007	—	`conf`	Automatic Subcortical Structure Segmentation Using Probabilistic Atlas. ISVC (1) Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu
2007	A	`conf`	Distribution-based Level Set Segmentation for Brain MR Images. BMVC Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu
2006	—	`conf`	A Unified Framework for Segmentation-Assisted Image Registration. ACCV (2) Jundong Liu, Yang Wang, Junhong Liu
2006	—	`conf`	Robust Image Segmentation using Local Median. CRV Jundong Liu
2005	B	`conf`	Segmentation guided registration for medical images. Image Processing Jundong Liu
2005	—	`conf`	Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes. CVPR (1) Chunming Li, Jundong Liu, Martin D. Fox
2005	J	`jnl`	Segmentation of external force field for automatic initialization and splitting of snakes. Pattern Recognit. Chunming Li, Jundong Liu, Martin D. Fox
2004	B	`conf`	Artifact reduction in mutual-information-based CT-MR image registration. Image Processing Mingxiu Wei, Jundong Liu, Junhong Liu
2003	Misc	`conf`	A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems. PDPTA Lin Yang, Jundong Liu, Charles Cavanaugh, Lonnie R. Welch
2003	—	`conf`	Artifacts reduction in mutual information-based image registration using prior information. ICIP (1) Jundong Liu
2002	J	`jnl`	Efficient multi-modal image registration using local-frequency maps. Mach. Vis. Appl. Jundong Liu, Baba C. Vemuri, Frank J. Bova
2002	J	`jnl`	Local Frequency Representations for Robust Multimodal Image Registration. IEEE Trans. Medical Imaging Jundong Liu, Baba C. Vemuri, José L. Marroquín
2001	A	`conf`	Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. MICCAI Baba C. Vemuri, Jundong Liu
2001	—	`conf`	Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration. VMV Jundong Liu
2001	—	`conf`	Robust Multimodal Image Registration Using Local Frequency Representations. IPMI Baba C. Vemuri, Jundong Liu, José L. Marroquín