Total Bregman divergence and its applications to shape retrieval. - Meizhu Liu; Baba C. Vemuri; Shun-ichi Amari; Frank Nielsen (CVPR, 2010)

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Heng Huang (CIKM, 2011)

AdaBoost on low-rank PSD matrices for metric learning. - Jinbo Bi; Dijia Wu; Le Lu 001; Meizhu Liu; Yimo Tao; Matthias Wolf 001 (CVPR, 2011)

Robust and efficient regularized boosting using total Bregman divergence. - Meizhu Liu; Baba C. Vemuri (CVPR, 2011)

Tensor-based total bregman divergences between graphs. - Francisco Escolano; Meizhu Liu; Edwin R. Hancock (ICCV Workshops, 2011)

Find the intrinsic space for multiclass classification. - Meizhu Liu; Kefei Liu 001; Xiaojing Ye (ISABEL, 2011)

Efficient minimization for dictionary based sparse representation and signal recovery. - Xiaojing Ye; Kefei Liu 001; Meizhu Liu (ISABEL, 2011)

RBoost: Riemannian distance based regularized Boosting. - Meizhu Liu; Baba C. Vemuri (ISBI, 2011)

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. - Meizhu Liu; Le Lu 001; Jinbo Bi; Vikas C. Raykar; Matthias Wolf 001; Marcos Salganicoff (MICCAI (3), 2011)

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Marcos Salganicoff (MICCAI (3), 2011)

Total Bregman Divergence and Its Applications to DTI Analysis. - Baba C. Vemuri; Meizhu Liu; Shun-ichi Amari; Frank Nielsen (IEEE Trans. Medical Imaging, 2011)

A Robust and Efficient Doubly Regularized Metric Learning Approach. - Meizhu Liu; Baba C. Vemuri (ECCV (4), 2012)

Jensen divergence based SPD matrix means and applications. - Frank Nielsen; Meizhu Liu; Xiaojing Ye; Baba C. Vemuri (ICPR, 2012)

Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. - Meizhu Liu; Baba C. Vemuri; Rachid Deriche (ISBI, 2012)

Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. - Meizhu Liu; Baba C. Vemuri; Shun-ichi Amari; Frank Nielsen (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. - Quan Wang; Dijia Wu; Le Lu 001; Meizhu Liu; Kim L. Boyer; Shaohua Kevin Zhou (MCV, 2013)

Information-Theoretic Dissimilarities for Graphs. - Francisco Escolano; Edwin R. Hancock; Meizhu Liu; Miguel Angel Lozano (SIMBAD, 2013)

A robust variational approach for simultaneous smoothing and estimation of DTI. - Meizhu Liu; Baba C. Vemuri; Rachid Deriche (NeuroImage, 2013)

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu (CoRR, 2014)

LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications. - Jiangyuan Mei; Meizhu Liu; Hamid Reza Karimi; Huijun Gao (IEEE Trans. Image Process., 2014)

Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification. - Jiangyuan Mei; Meizhu Liu; Yuan-Fang Wang; Huijun Gao (IEEE Trans. Cybern., 2016)

An Early Warning System for Suspicious Accounts. - Hassan Halawa; Matei Ripeanu; Konstantin Beznosov; Baris Coskun; Meizhu Liu (AISec@CCS, 2017)

Generating Look-alike Names For Security Challenges. - Shuchu Han; Yifan Hu 001; Steven Skiena; Baris Coskun; Meizhu Liu; Hong Qin 001; Jaime Perez (AISec@CCS, 2017)

Nationality Classification Using Name Embeddings. - Junting Ye; Shuchu Han; Yifan Hu 001; Baris Coskun; Meizhu Liu; Hong Qin 001; Steven Skiena (CIKM, 2017)

Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. - Hassan Halawa; Konstantin Beznosov; Baris Coskun; Meizhu Liu; Matei Ripeanu (Financial Cryptography, 2019)

Political Posters Identification with Appearance-Text Fusion. - Xuan Qin; Meizhu Liu; Yifan Hu 001; Christina Moo; Christian M. Riblet; Changwei Hu; Kevin Yen; Haibin Ling (CoRR, 2020)