9 citations · 12 across the 8 of their papers we have counts for
8 papers
Weight Group-wise Post-Training Quantization for Medical Foundation Model
Yineng Chen, Peng Huang, Aozhong Zhang +9
Foundation models have achieved remarkable results in medical image analysis. However, its large network architecture and high computational complexity significantly impact inferen…
Evidence-Based Actor-Verifier Reasoning for Echocardiographic Agents
Peng Huang, Yiming Wang, Yineng Chen +9
Echocardiography plays an important role in the screening and diagnosis of cardiovascular diseases. However, automated intelligent analysis of echocardiographic data remains challe…
In-Context Operator Learning on the Space of Probability Measures
Frank Cole, Dixi Wang, Yineng Chen +2
We introduce \emph{in-context operator learning on probability measure spaces} for optimal transport (OT). The goal is to learn a single solution operator that maps a pair of distr…
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
Hang Yang, Hao Chen, Hui Guo +6
Accurate and efficient question-answering systems are essential for delivering high-quality patient care in the medical field. While Large Language Models (LLMs) have made remarkab…
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
Ting Yu Tsai, Liangqiao Gui, Yineng Chen +8
Deep learning models have achieved significant success in segmenting cardiovascular structures, but there is a growing need to improve their generalization and robustness. Current…
Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba
Yuchen Zou, Yineng Chen, Zuchao Li +2
Transformer, a deep neural network architecture, has long dominated the field of natural language processing and beyond. Nevertheless, the recent introduction of Mamba challenges i…
Neural Radiance Fields in Medical Imaging: A Survey
Xin Wang, Yineng Chen, Shu Hu +3
Neural Radiance Fields (NeRF), as a pioneering technique in computer vision, offer great potential to revolutionize medical imaging by synthesizing three-dimensional representation…
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Yineng Chen, Zuchao Li, Lefei Zhang +2
Optimizer is an essential component for the success of deep learning, which guides the neural network to update the parameters according to the loss on the training set. SGD and Ad…