Bin Kong

Orcid: 0000-0003-2108-5341

Affiliations:
  • Keya Medical Company, Ltd., Shenzhen, China
  • University of North Carolina at Charlotte, Department of Computer Science, Charlotte, NC, USA (PhD 2020)


According to our database1, Bin Kong authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Uncertainty-Aware Explainable Recommendation with Large Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning.
IEEE Trans. Artif. Intell., April, 2023

2022
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting.
Pattern Recognit., 2022

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation.
Neurocomputing, 2022

Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Synergistic Network Learning and Label Correction for Noise-Robust Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.
Neurocomputing, 2021

Stochastic Actor-Executor-Critic for Image-to-Image Translation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transferable Adversarial Examples for Anchor Free Object Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Imperceptible Adversarial Examples For Fake Image Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021


2020
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics.
CoRR, 2020

Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.
CoRR, 2020

Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting.
CoRR, 2020

Learning tree-structured representation for 3D coronary artery segmentation.
Comput. Medical Imaging Graph., 2020

Fast Local Attack: Generating Local Adversarial Examples for Object Detectors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.
CoRR, 2019

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Residual Attention Based Network for Hand Bone Age Assessment.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Cancer Metastasis Detection via Spatially Structured Deep Network.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


  Loading...