Yanlin Chen
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2024
DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images.
IEEE J. Biomed. Health Informatics, August, 2024
A modified U-net with graph representation for dose prediction in esophageal cancer radiotherapy plans.
Comput. Medical Imaging Graph., January, 2024
Games Econ. Behav., 2024
Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism.
CoRR, 2024
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
CoRR, 2024
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
Comput. Biol. Medicine, 2024
Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
WaveFormer: A Wavelet Transformer for Parkinson Disease's Retinal Layer Segmentation in OCT.
Proceedings of the International Joint Conference on Neural Networks, 2024
Optimizing Transformer Based on High-Performance Optimizer for Predicting Employment Sentiment in American Social Media Content.
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
2023
A Cross-Scale Iterative Attentional Adversarial Fusion Network for Infrared and Visible Images.
IEEE Trans. Circuits Syst. Video Technol., August, 2023
Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble.
IEEE J. Biomed. Health Informatics, June, 2023
Robotics Auton. Syst., May, 2023
Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning.
IEEE Trans. Multim., 2023
QSETH strikes again: finer quantum lower bounds for lattice problem, strong simulation, hitting set problem, and more.
CoRR, 2023
OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis.
CoRR, 2023
Focusing Intracranial Aneurysm Lesion Segmentation by Graph Mask2Former with Local Refinement in DSA Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images.
IEEE Trans. Instrum. Meas., 2022
Comparative Study of Marine Ranching Recognition in Multi-Temporal High-Resolution Remote Sensing Images Based on DeepLab-v3+ and U-Net.
Remote. Sens., 2022
Analyzing the Spatial-temporal Characteristics and Influencing Factors of Public Attention to 5G Based on Baidu Index.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.
CoRR, 2021
Improved (Provable) Algorithms for the Shortest Vector Problem via Bounded Distance Decoding.
Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science, 2021
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021
2020
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction.
IEEE J. Biomed. Health Informatics, 2020
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles.
CoRR, 2020
Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN.
IEEE Access, 2020
2019
SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions.
Inf. Sci., 2019
Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019
2018
Quantum Inf. Comput., 2018
J. Biomed. Informatics, 2018
Feature-derived graph regularized matrix factorization for predicting drug side effects.
Neurocomputing, 2018
Estimation of human arm motion based on sEMG in human-robot cooperative manipulation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the Communications, Signal Processing, and Systems, 2018
Sequence-derived linear neighborhood propagation method for predicting lncRNA-miRNA interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
BMC Syst. Biol., 2017
Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data.
BMC Bioinform., 2017
Peg-in-hole assembly based on hybrid vision/force guidance and dual-arm coordination.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017
Predicting drug-disease associations based on the known association bipartite network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Drug side effect prediction through linear neighborhoods and multiple data source integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2011
Approach of the Secure Communication Mechanism for the Off-Site Live Virtual Machine Migrations.
Proceedings of the Advances in Computer Science, 2011