| 2026 | ACL | 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 |
| 2026 | EACL | Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation. | Kefei Liu, Meizhu Liu |
| 2026 | EACL | No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR. | Meizhu Liu, Tao Sheng |
| 2019 | FC | Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. | Hassan Halawa, Konstantin Beznosov, Baris Coskun, Meizhu Liu, Matei Ripeanu |
| 2017 | CCS | An Early Warning System for Suspicious Accounts. | Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu |
| 2017 | CCS | Generating Look-alike Names For Security Challenges. | Shuchu Han, Yifan Hu, Steven Skiena, Baris Coskun, Meizhu Liu, Hong Qin, Jaime Perez |
| 2017 | CIKM | Nationality Classification Using Name Embeddings. | Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena |
| 2013 | MICCAI | 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 |
| 2012 | ECCV | A Robust and Efficient Doubly Regularized Metric Learning Approach. | Meizhu Liu, Baba C. Vemuri |
| 2012 | ICPR | Jensen divergence based SPD matrix means and applications. | Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri |
| 2011 | CIKM | Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. | Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang |
| 2011 | CVPR | AdaBoost on low-rank PSD matrices for metric learning. | Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf |
| 2011 | CVPR | Robust and efficient regularized boosting using total Bregman divergence. | Meizhu Liu, Baba C. Vemuri |
| 2011 | MICCAI | 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 |
| 2011 | MICCAI | Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. | Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff |
| 2010 | CVPR | Total Bregman divergence and its applications to shape retrieval. | Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen |