Junlin Yang

According to our database, Junlin Yang authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Research on recognition algorithm for special-shaped parts based on improved YOLOv5s.

Jiarui Zhang, Zhongfeng Guo, Junlin Yang

Adv. Math. Commun., 2024

Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week.

Junlin Yang, John Anderson Garcia Henao, Nicha C. Dvornek, Jianchun He, Danielle V. Bower, Arno Depotter, Herkus Bajercius, Aurélie Pahud de Mortanges, Chenyu You, Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf Hautz, Harald M. Bonel, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan

Comput. Medical Imaging Graph., 2024

OpenAuth: Human Body-Based User Authentication Using mmWave Signals in Open-World Scenarios.

Junlin Yang, Jiadi Yu, Linghe Kong, Yanmin Zhu, Hong-Ning Dai

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

mmHand: 3D Hand Pose Estimation Leveraging mmWave Signals.

Hao Kong, Haoxin Lyu, Jiadi Yu, Linghe Kong, Junlin Yang, Yanzhi Ren, Hongbo Liu, Yingying Chen

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2022

Finite element analysis in brace treatment on adolescent idiopathic scoliosis.

Wenqing Wei, Tianyuan Zhang, Zifang Huang, Junlin Yang

Medical Biol. Eng. Comput., 2022

2021

A Real-Time Spine Orthopedic System Based on Bluetooth Low Energy and Internet of Things.

Kun Xia, Ruifeng Hou, Junlin Yang, Xiang Li

IEEE Access, 2021

Robust and Generalizable Visual Representation Learning via Random Convolutions.

Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer

Proceedings of the 9th International Conference on Learning Representations, 2021

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization.

Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification.

Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan

IEEE Trans. Medical Imaging, 2020

Robust and Generalizable Visual Representation Learning via Random Convolutions.

Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer

CoRR, 2020

2018 Robotic Scene Segmentation Challenge.

Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel

CoRR, 2020

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation.

Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space.

Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making.

Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan

CoRR, 2019

Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution.

Yinchuan Xu, Junlin Yang

CoRR, 2019

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation.

Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

ShelfNet for Fast Semantic Segmentation.

Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Decision explanation and feature importance for invertible networks.

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation.

Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A radio environment map construction scheme with hidden Markov Model based spectrum occupancy prediction.

Liwei Huang, Wei Shao, Yan Zhang, Junlin Yang, Yaxiang Liu

Proceedings of the 3rd International Conference on High Performance Compilation, 2019

2018

Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework.

Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Automatic Brain Tumor Segmentation with Contour Aware Residual Network and Adversarial Training.

Hao-Yu Yang, Junlin Yang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018