25 citations · 45 across the 10 of their papers we have counts for
10 papers
Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss
Meizhu Liu, Matthew Rowe, Amit Agarwal +8
Audio-text retrieval enables semantic alignment between audio content and natural language queries, supporting applications in multimedia search, accessibility, and surveillance. H…
Au-M-ol: A Unified Model for Medical Audio and Language Understanding
Meizhu Liu, Nistha Mitra, Paul Li +3
In this work, we present Au-M-ol, a novel multimodal architecture that extends Large Language Models (LLMs) with audio processing. It is designed to improve performance on clinical…
Lightweight and Production-Ready PDF Visual Element Parsing
Meizhu Liu, Yassi Abbasi, Matthew Rowe +2
PDF documents contain critical visual elements such as figures, tables, and forms whose accurate extraction is essential for document understanding and multimodal retrieval-augment…
Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning
Jiashu He, Meizhu Liu, Olaitan P Olaleye +9
Decoding strategies play a central role in shaping the reasoning ability of large language models (LLMs). Traditional methods such as greedy decoding and beam search often suffer f…
The ALMA Survey of Star Formation and Evolution in Massive Protoclusters with Blue Profiles (ASSEMBLE): Core Growth, Cluster Contraction, and Primordial Mass Segregation
Fengwei Xu, Ke Wang, Tie Liu +40
The ALMA Survey of Star Formation and Evolution in Massive Protoclusters with Blue Profiles (ASSEMBLE) aims to investigate the process of mass assembly and its connection to high-m…
Political Posters Identification with Appearance-Text Fusion
Xuan Qin, Meizhu Liu, Yifan Hu +5
In this paper, we propose a method that efficiently utilizes appearance features and text vectors to accurately classify political posters from other similar political images. The…
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
Hassan Halawa, Matei Ripeanu, Konstantin Beznosov +2
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of…
Nationality Classification Using Name Embeddings
Junting Ye, Shuchu Han, Yifan Hu +4
Nationality identification unlocks important demographic information, with many applications in biomedical and sociological research. Existing name-based nationality classifiers us…
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis
Meizhu Liu, Le Lu, Xiaojing Ye +1
Classification is one of the core problems in Computer-Aided Diagnosis (CAD), targeting for early cancer detection using 3D medical imaging interpretation. High detection sensitivi…
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
Quan Wang, Dijia Wu, Le Lu +3
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and i…