An Interaction-Based Convolutional Neural Network (ICNN) Toward a Better Understanding of COVID-19 X-ray Images. - Shaw-Hwa Lo; Yiqiao Yin (Algorithms, 2021)

An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images. - Shaw-Hwa Lo; Yiqiao Yin (CoRR, 2021)

Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks. - Shaw-Hwa Lo; Yiqiao Yin (CoRR, 2021)

A novel interaction-based methodology towards explainable AI with better understanding of Pneumonia Chest X-ray Images. - Shaw-Hwa Lo; Yiqiao Yin (Discov. Artif. Intell., 2021)

Language Semantics Interpretation with an Interaction-Based Recurrent Neural Network. - Shaw-Hwa Lo; Yiqiao Yin (Mach. Learn. Knowl. Extr., 2021)

Towards Explainable AI on Chest X-Ray Diagnosis Using Image Segmentation and CAM Visualization. - Leon Liu; Yiqiao Yin (FICC (1), 2023)

Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. - Xuan Di; Yiqiao Yin; Yongjie Fu; Zhaobin Mo; Shaw-Hwa Lo; Carolyn DiGuiseppi; David W. Eby; Linda L. Hill; Thelma J. Mielenz; David Strogatz; Minjae Kim; Guohua Li (Artif. Intell. Medicine, 2023)

A multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis. - Jaiden Xuan Schraut; Leon Liu; Jonathan Gong; Yiqiao Yin (Discov. Artif. Intell., 2023)

An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks. - Yash Bingi; Yiqiao Yin (CoRR, 2024)

A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge. - Keshav Rangan; Yiqiao Yin (CoRR, 2024)

Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD). - Yiqiao Yin (CoRR, 2024)

Green AI: exploring carbon footprints, mitigation strategies, and trade offs in large language model training. - Vivian Liu; Yiqiao Yin (Discov. Artif. Intell., 2024)