Lingyun Huang

Orcid: 0000-0002-7336-7079

According to our database1, Lingyun Huang authored at least 42 papers between 2011 and 2023.

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Bibliography

2023
Multimodal learning analytics for assessing teachers' self-regulated learning in planning technology-integrated lessons in a computer-based environment.
Educ. Inf. Technol., December, 2023

Time-driven modeling of student self-regulated learning in network-based tutors.
Interact. Learn. Environ., May, 2023

Time in various phases of self-regulation and problem-solving performance in an Intelligent Tutoring System.
Educ. Inf. Technol., May, 2023

Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization.
CoRR, 2023

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging.
CoRR, 2023

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

2021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging, 2021

Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2021

MommiNet-v2: Mammographic multi-view mass identification networks.
Medical Image Anal., 2021

The Role of Self-Improving Tutoring Systems in Fostering Pre-Service Teacher Self-Regulated Learning.
Frontiers Artif. Intell., 2021

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.
CoRR, 2021

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI.
CoRR, 2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT.
CoRR, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search.
CoRR, 2021

Self-regulation and emotion matter: A case study of instructor interactions with a learning analytics dashboard.
Comput. Educ., 2021

Process analysis of teachers' self-regulated learning patterns in technological pedagogical content knowledge development.
Comput. Educ., 2021

Latent profiles of self-regulated learning and their impacts on teachers' technology integration.
Br. J. Educ. Technol., 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.
CoRR, 2020

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020

MommiNet: Mammographic Multi-view Mass Identification Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

2019
Scaffolding student teachers' information-seeking behaviours with a network-based tutoring system.
J. Comput. Assist. Learn., 2019

A Resource-aware Distributed Kalman Filter with Stochastic Communication Based on Site-percolation Model.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Deep Learning Based Lesion Detection For Mammograms.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

DeepLIMa: Deep Learning Based Lesion Identification in Mammograms.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Learning Based Mass Detection in Mammograms.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2015
A three-stage deadlock prevention strategy for S<sup>3</sup>PR nets.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2011
Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011


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