Meizhu Liu - RankMe

31 papers A* 3A 2B 1Journal 10Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR. EACL (Industry Track) Meizhu Liu, Tao Sheng
2026	—	`conf`	Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation. EACL (Industry Track) Kefei Liu, Meizhu Liu
2020	J	`jnl`	Political Posters Identification with Appearance-Text Fusion. CoRR Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling
2019	—	`conf`	Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. Financial Cryptography Hassan Halawa, Konstantin Beznosov, Baris Coskun, Meizhu Liu, Matei Ripeanu
2018	J	`jnl`	Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. CoRR Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu
2017	—	`conf`	An Early Warning System for Suspicious Accounts. AISec@CCS Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu
2017	—	`conf`	Generating Look-alike Names For Security Challenges. AISec@CCS Shuchu Han, Yifan Hu, Steven Skiena, Baris Coskun, Meizhu Liu, Hong Qin, Jaime Perez
2017	A	`conf`	Nationality Classification Using Name Embeddings. CIKM Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena
2017	J	`jnl`	Nationality Classification Using Name Embeddings. CoRR Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena
2016	J	`jnl`	Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification. IEEE Trans. Cybern. Jiangyuan Mei, Meizhu Liu, Yuan-Fang Wang, Huijun Gao
2014	J	`jnl`	Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu
2014	J	`jnl`	LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications. IEEE Trans. Image Process. Jiangyuan Mei, Meizhu Liu, Hamid Reza Karimi, Huijun Gao
2013	J	`jnl`	A robust variational approach for simultaneous smoothing and estimation of DTI. NeuroImage Meizhu Liu, Baba C. Vemuri, Rachid Deriche
2013	—	`conf`	Information-Theoretic Dissimilarities for Graphs. SIMBAD Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
2013	—	`conf`	Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
2013	J	`jnl`	Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
2012	—	`conf`	A Robust and Efficient Doubly Regularized Metric Learning Approach. ECCV (4) Meizhu Liu, Baba C. Vemuri
2012	B	`conf`	Jensen divergence based SPD matrix means and applications. ICPR Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
2012	J	`jnl`	Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
2012	—	`conf`	Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. ISBI Meizhu Liu, Baba C. Vemuri, Rachid Deriche
2011	A*	`conf`	AdaBoost on low-rank PSD matrices for metric learning. CVPR Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
2011	A	`conf`	Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang
2011	—	`conf`	Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL Xiaojing Ye, Kefei Liu, Meizhu Liu
2011	—	`conf`	Find the intrinsic space for multiclass classification. ISABEL Meizhu Liu, Kefei Liu, Xiaojing Ye
2011	—	`conf`	RBoost: Riemannian distance based regularized Boosting. ISBI Meizhu Liu, Baba C. Vemuri
2011	—	`conf`	Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff
2011	A*	`conf`	Robust and efficient regularized boosting using total Bregman divergence. CVPR Meizhu Liu, Baba C. Vemuri
2011	—	`conf`	Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff
2011	—	`conf`	Tensor-based total bregman divergences between graphs. ICCV Workshops Francisco Escolano, Meizhu Liu, Edwin R. Hancock
2011	J	`jnl`	Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
2010	A*	`conf`	Total Bregman divergence and its applications to shape retrieval. CVPR Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen