Meizhu Liu

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 8

Top Topics

Metric Learning

Shape Retrieval

Gaussian Mixture

Mahalanobis Distance

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Image Process.

Publications

Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling
Political Posters Identification with Appearance-Text Fusion. CoRR (2020)
Hassan Halawa, Konstantin Beznosov, Baris Coskun, Meizhu Liu, Matei Ripeanu
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. Financial Cryptography (2019)
Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. CoRR (2018)
Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena
Nationality Classification Using Name Embeddings. CoRR (2017)
Shuchu Han, Yifan Hu, Steven Skiena, Baris Coskun, Meizhu Liu, Hong Qin, Jaime Perez
Generating Look-alike Names For Security Challenges. AISec@CCS (2017)
Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu
An Early Warning System for Suspicious Accounts. AISec@CCS (2017)
Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena
Nationality Classification Using Name Embeddings. CIKM (2017)
Jiangyuan Mei, Meizhu Liu, Yuan-Fang Wang, Huijun Gao
Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification. IEEE Trans. Cybern. 46 (6) (2016)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR (2014)
Jiangyuan Mei, Meizhu Liu, Hamid Reza Karimi, Huijun Gao
LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications. IEEE Trans. Image Process. 23 (11) (2014)
Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
Information-Theoretic Dissimilarities for Graphs. SIMBAD (2013)
Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR (2013)
Meizhu Liu, Baba C. Vemuri, Rachid Deriche
A robust variational approach for simultaneous smoothing and estimation of DTI. NeuroImage 67 (2013)
Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV (2013)
Meizhu Liu, Baba C. Vemuri, Rachid Deriche
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. ISBI (2012)
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34 (12) (2012)
Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
Jensen divergence based SPD matrix means and applications. ICPR (2012)
Meizhu Liu, Baba C. Vemuri
A Robust and Efficient Doubly Regularized Metric Learning Approach. ECCV (4) (2012)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) (2011)
Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
AdaBoost on low-rank PSD matrices for metric learning. CVPR (2011)
Xiaojing Ye, Kefei Liu, Meizhu Liu
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL (2011)
Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) (2011)
Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30 (2) (2011)
Meizhu Liu, Baba C. Vemuri
RBoost: Riemannian distance based regularized Boosting. ISBI (2011)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM (2011)
Meizhu Liu, Baba C. Vemuri
Robust and efficient regularized boosting using total Bregman divergence. CVPR (2011)
Francisco Escolano, Meizhu Liu, Edwin R. Hancock
Tensor-based total bregman divergences between graphs. ICCV Workshops (2011)
Meizhu Liu, Kefei Liu, Xiaojing Ye
Find the intrinsic space for multiclass classification. ISABEL (2011)
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
Total Bregman divergence and its applications to shape retrieval. CVPR (2010)