Wen Yan

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Towards A Universally Transferable Acceleration Method for Density Functional Theory.
CoRR, September, 2025

Generative molecule evolution using 3D pharmacophore for efficient Structure-Based Drug Design.
CoRR, July, 2025

Det-SAMReg: Few-Shot Medical Image Registration Using Vision Foundation Models.
Proceedings of the Simplifying Medical Ultrasound - 6th International Workshop, 2025

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Application of Fashion Element Trend Prediction Model Integrating AM and EfficientNet-b7 Models in Art Design.
Scalable Comput. Pract. Exp., 2024

SAMReg: SAM-enabled Image Registration with ROI-based Correspondence.
CoRR, 2024

Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage.
CoRR, 2024

Practical Explicit-time Stabilization of a Proportional Control System.
CoRR, 2024

BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development.
CoRR, 2024

Semi-weakly-supervised neural network training for medical image registration.
CoRR, 2024

Carbon efficiency modeling and optimization of solar-powered cellular networks.
Sci. China Inf. Sci., 2024

One Registration is Worth Two Segmentations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Weakly Supervised Localisation of Prostate Cancer Using Reinforcement Learning for Bi-Parametric MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Machine Learning Force Fields with Data Cost Aware Training.
Proceedings of the International Conference on Machine Learning, 2023

Does the Form of Attachment Have an Impact on Occupational Thermal Comfort? A Study on the Spinal Exoskeleton.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 2023

Performance Analysis on a Coupled System of Gas Turbine and Air Cycle Driven by the Waste Heat of Flue Gas.
Proceedings of the 6GN for Future Wireless Networks, 2023

2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR, 2022

2021
Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images.
CoRR, 2021

Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankle.
BMC Medical Imaging, 2021

2020
A scalable computational platform for particulate Stokes suspensions.
J. Comput. Phys., 2020

Micron-level Optimal Obstacle-avoidance Trajectory Planning for a Free-floating Space Robot with Predefined-time Convergence.
CoRR, 2020

Kernel Aggregated Fast Multipole Method: Efficient summation of Laplace and Stokes kernel functions.
CoRR, 2020

2019
Design of Intelligent Measurement System of Vehicle Dimensions Based on Structured Light Imaging and Machine Vision.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

2018
Detecting opinion leaders in online social networks using HybridRank algorithm.
J. Intell. Fuzzy Syst., 2018

2017
Unsupervised End-to-end Learning for Deformable Medical Image Registration.
CoRR, 2017

Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Omni-Directional Scanning Localization Method of a Mobile Robot Based on Ultrasonic Sensors.
Sensors, 2016

2015
Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
Comput. Medical Imaging Graph., 2015

2013
Closed-form projection operator wavelet kernels in support vector learning for nonlinear dynamical systems identification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

On Semantics of Inference in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference.
Proceedings of the Advances in Artificial Intelligence, 2013

2010
The CPT Structure of Variable Elimination in Discrete Bayesian Networks.
Proceedings of the Advances in Intelligent Information Systems, 2010

Application of wavelets neural network in superheated temperature control system.
Proceedings of the Sixth International Conference on Natural Computation, 2010

The Effects of "Facilitating" in an Online Asynchronous Teachers Training Course.
Proceedings of the Hybrid Learning, Third International Conference, 2010

2007
A Method for Polyhedron Object Rapid Prototyping Based on Its Digital Images.
Proceedings of the 10th International Conference on Computer-Aided Design and Computer Graphics, 2007

2006
An Efficient Algorithm for Inference in Rough Set Flow Graphs.
Trans. Rough Sets, 2006

2005
The Computational Complexity of Inference Using Rough Set Flow Graphs.
Proceedings of the Rough Sets, 2005


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