Meizhu Liu

According to our database, Meizhu Liu authored at least 33 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Do Image-Text Metrics Respect Semantic Invariances?

Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu, Jyotika Singh, Karan Dua, Hansa Meghwani, Matthew Rowe, Michael Avendi, Yassi Abbasi, Tao Sheng, Sujith Ravi, Dan Roth

CoRR, May, 2026

Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss.

Meizhu Liu, Matthew Rowe, Amit Agarwal, Michael Avendi, Yassi Abbasi, Hitesh Laxmichand Patel, Paul Li, Kyu J. Han, Tao Sheng, Sujith Ravi, Dan Roth

CoRR, April, 2026

Au-M-ol: A Unified Model for Medical Audio and Language Understanding.

Meizhu Liu, Nistha Mitra, Paul Li, Amine Abdaoui, Adam Ledyard, Tao Sheng

CoRR, April, 2026

Lightweight and Production-Ready PDF Visual Element Parsing.

Meizhu Liu, Yassi Abbasi, Matthew Rowe, Michael Avendi, Paul Li

CoRR, April, 2026

Think Twice Before You Write - an Entropy-based Decoding Strategy to Enhance LLM Reasoning.

Jiashu He, Meizhu Liu, Olaitan P. Olaleye, Amit Agarwal, Michael Avendi, Yassi Abbasi, Matthew Rowe, Hitesh Laxmichand Patel, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth

CoRR, April, 2026

No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR.

Meizhu Liu, Tao Sheng

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation.

Kefei Liu, Meizhu Liu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2020

Political Posters Identification with Appearance-Text Fusion.

Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling

CoRR, 2020

2019

Forecasting Suspicious Account Activity at Large-Scale Online Service Providers.

Hassan Halawa, Konstantin Beznosov, Baris Coskun, Meizhu Liu, Matei Ripeanu

Proceedings of the Financial Cryptography and Data Security, 2019

2017

Nationality Classification Using Name Embeddings.

Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Generating Look-alike Names For Security Challenges.

Shuchu Han, Yifan Hu, Steven Skiena, Baris Coskun, Meizhu Liu, Hong Qin, Jaime Perez

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

An Early Warning System for Suspicious Accounts.

Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016

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

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

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu

CoRR, 2014

2013

A robust variational approach for simultaneous smoothing and estimation of DTI.

Meizhu Liu, Baba C. Vemuri, Rachid Deriche

NeuroImage, 2013

Information-Theoretic Dissimilarities for Graphs.

Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images.

Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

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

Unsupervised automatic white matter fiber clustering using a Gaussian mixture model.

Meizhu Liu, Baba C. Vemuri, Rachid Deriche

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Jensen divergence based SPD matrix means and applications.

Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Robust and Efficient Doubly Regularized Metric Learning Approach.

Meizhu Liu, Baba C. Vemuri

Proceedings of the Computer Vision - ECCV 2012, 2012

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

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach.

Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

RBoost: Riemannian distance based regularized Boosting.

Meizhu Liu, Baba C. Vemuri

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Efficient minimization for dictionary based sparse representation and signal recovery.

Xiaojing Ye, Kefei Liu, Meizhu Liu

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Find the intrinsic space for multiclass classification.

Meizhu Liu, Kefei Liu, Xiaojing Ye

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Tensor-based total bregman divergences between graphs.

Francisco Escolano, Meizhu Liu, Edwin R. Hancock

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Robust and efficient regularized boosting using total Bregman divergence.

Meizhu Liu, Baba C. Vemuri

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AdaBoost on low-rank PSD matrices for metric learning.

Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Total Bregman divergence and its applications to shape retrieval.

Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010