8 citations · 22 across the 6 of their papers we have counts for
6 papers
Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs
Xiaoke Huang, Ningsen Wang, Hui Liu +2
Large Multimodal Models (LMMs) are increasingly capable of answering medical questions that require joint reasoning over images and text, yet training general medical VQA systems i…
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction
Ning Wang
In the real world, long sequence time-series forecasting (LSTF) is needed in many cases, such as power consumption prediction and air quality prediction.Multi-dimensional long time…
Learning Models for Suicide Prediction from Social Media Posts
Ning Wang, Fan Luo, Yuvraj Shivtare +4
We propose a deep learning architecture and test three other machine learning models to automatically detect individuals that will attempt suicide within (1) 30 days and (2) six mo…
Explainable Rumor Detection using Inter and Intra-feature Attention Networks
Mingxuan Chen, Ning Wang, K. P. Subbalakshmi
With social media becoming ubiquitous, information consumption from this media has also increased. However, one of the serious problems that have emerged with this increase, is the…
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease
Ning Wang, Mingxuan Chen, K. P. Subbalakshmi
In this work, we propose three explainable deep learning architectures to automatically detect patients with Alzheimer`s disease based on their language abilities. The architecture…
Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding
Yutai Hou, Zhihan Zhou, Yijia Liu +4
While few-shot classification has been widely explored with similarity based methods, few-shot sequence labeling poses a unique challenge as it also calls for modeling the label de…