no code implementations • 8 Jan 2024 • Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma
Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment.
no code implementations • 2 Nov 2023 • Yiran Li, Junpeng Wang, Prince Aboagye, Michael Yeh, Yan Zheng, Liang Wang, Wei zhang, Kwan-Liu Ma
On the one hand, by visually examining the captions automatically generated from language-image models for an image dataset, we gain deeper insights into the semantic underpinnings of the visual contents, unearthing data biases that may be entrenched within the dataset.
no code implementations • 23 May 2023 • Ruiqi Sun, Siwei Ye, Jie Zhao, Xin He, Yiran Li, An Zou
The inherent diversity of computation types within individual Deep Neural Network (DNN) models imposes a corresponding need for a varied set of computation units within hardware processors.
no code implementations • 24 Mar 2023 • Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei zhang, Kwan-Liu Ma
Multi-head self-attentions are then applied to the sequence to learn the attention between patches.
no code implementations • 6 Mar 2023 • Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma
Adversarial attacks on a convolutional neural network (CNN) -- injecting human-imperceptible perturbations into an input image -- could fool a high-performance CNN into making incorrect predictions.
no code implementations • 13 Jun 2022 • Yiran Li, Ze Wang
The proposed method significantly reduces the number of PLDs from 6 to 2 on ATT and even to single PLD on CBF without sacrificing the SNR.
1 code implementation • 1 Mar 2022 • Can Zhou, Razin A. Shaikh, Yiran Li, Amin Farjudian
A domain-theoretic framework is presented for validated robustness analysis of neural networks.
no code implementations • 1 Mar 2021 • Wojciech Czaja, Weilin Li, Yiran Li, Mike Pekala
Inspired by the Hardy-Littlewood maximal function, we propose a novel pooling strategy which is called maxfun pooling.
no code implementations • 15 May 2020 • Danfeng Xie, Yiran Li, Hanlu Yang, Li Bai, Lei Zhang, Ze Wang
The results showed that the learning-from-noise strategy produced better output quality than ASLDN trained with relatively high SNR reference.
no code implementations • 15 Apr 2020 • Luisa F. Polania, Mauricio Flores, Yiran Li, Matthew Nokleby
We present two GNN models, both of which comprise a deep CNN that extracts a feature representation for each image, a gated recurrent unit (GRU) network that models interactions between the furniture items in a set, and an aggregation function that calculates the compatibility score.
no code implementations • 18 Feb 2020 • Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma
While we use an autoencoder for the event embedding, we apply its variant with the self-attention mechanism for the sequence embedding.
no code implementations • 18 Feb 2020 • Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma
Through a case study of a publicly available clinical dataset, we demonstrate the effectiveness of our visual analytics system to assist clinicians and researchers in comparing and quantitatively evaluating different machine learning methods.