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08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
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06/15/2023
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
Few-shot knowledge graph completion (FKGC) task aims to predict unseen f...
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04/20/2023
Is ChatGPT a Good Recommender? A Preliminary Study
Recommendation systems have witnessed significant advancements and have ...
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12/28/2022
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume
Three-dimensional (3D) ultrasound imaging technique has been applied for...
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07/31/2022
Improving Distantly Supervised Relation Extraction by Natural Language Inference
To reduce human annotations for relation extraction (RE) tasks, distantl...
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10/05/2021
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Anomaly detection in medical images refers to the identification of abno...
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05/09/2021
Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network
Objective: The spinous process angle (SPA) is one of the essential param...
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08/09/2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Anomaly detection in retinal image refers to the identification of abnor...
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12/11/2019
BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
Choroid is the vascular layer of the eye, which is directly related to t...
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11/28/2019
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
With the development of convolutional neural network, deep learning has ...
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03/07/2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Medical image segmentation is an important step in medical image analysi...
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08/31/2018
