Search Results for author: Yiran Li

Found 13 papers, 1 papers with code

GNNAnatomy: Systematic Generation and Evaluation of Multi-Level Explanations for Graph Neural Networks

no code implementations6 Jun 2024 Hsiao-Ying Lu, Yiran Li, Ujwal Pratap Krishna Kaluvakolanu Thyagarajan, Kwan-Liu Ma

Graph Neural Networks (GNNs) have proven highly effective in various machine learning (ML) tasks involving graphs, such as node/graph classification and link prediction.

counterfactual Graph Classification +1

A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes

no code implementations8 Jan 2024 Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma

Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment.

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning

no code implementations2 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.

Caption Generation Efficient Exploration +1

NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference

no code implementations23 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.


How Does Attention Work in Vision Transformers? A Visual Analytics Attempt

no code implementations24 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.

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks

no code implementations6 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.

Autonomous Driving Medical Diagnosis +1

Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning

no code implementations13 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.

A Domain-Theoretic Framework for Robustness Analysis of Neural Networks

1 code implementation1 Mar 2022 Can Zhou, Razin A. Shaikh, Yiran Li, Amin Farjudian

A domain-theoretic framework is presented for validated robustness analysis of neural networks.

Maximal function pooling with applications

no code implementations1 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.

Image Classification

A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images

no code implementations15 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.

Image Denoising

Learning Furniture Compatibility with Graph Neural Networks

no code implementations15 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.

Graph Neural Network

Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding

no code implementations18 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.

A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions

no code implementations18 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.

BIG-bench Machine Learning Decision Making

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