Lichao Wang

Orcid: 0009-0006-6448-7331

According to our database1, Lichao Wang authored at least 37 papers between 2007 and 2024.

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Bibliography

2024
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey.
ACM Comput. Surv., July, 2024

Learning variant product relationship and variation attributes from e-commerce website structures.
CoRR, 2024

Instance-free Text to Point Cloud Localization with Relative Position Awareness.
CoRR, 2024

System Governance of Three-Phase Unbalanced System via Negative Sequence Voltage Method.
Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence, 2024

2023
Resolution strategies for cooperative vehicle fleets for reducing rear-end collision risks near recurrent freeway bottlenecks.
J. Intell. Transp. Syst., September, 2023

Based on the Foot-Ground Contact Mechanics Model and Velocity Planning Buffer Control.
Robotics, February, 2023

Multilayer feature fusion and saliency-attention object tracking.
J. Electronic Imaging, 2023

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023

Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation.
CoRR, 2023

Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2022
A Novel Sensor System for In Vivo Perception Reconstruction Based on Long Short-Term Memory Networks.
Sensors, 2022

Research on perception reconstruction of implantable device based on sensor system.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022

2021
Iterative Learning Tracking Control of Nonlinear Multiagent Systems with Input Saturation.
Complex., 2021

2020
The NEOLIX Open Dataset for AutonomousDriving.
CoRR, 2020

2019
Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Hyper-network Analysis of Policy Communication on Social Media.
Proceedings of the 20th Annual International Conference on Digital Government Research, 2019

2017
Pow law in random symbolic sequences.
Digit. Scholarsh. Humanit., 2017

2016
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.
IEEE Trans. Medical Imaging, 2016

Single-view X-ray depth recovery: toward a novel concept for image-guided interventions.
Int. J. Comput. Assist. Radiol. Surg., 2016

Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Structure-based assessment of cancerous mitochondria using deep networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests.
CoRR, 2015

Constructing format-preserving printing from syntax-directed definitions.
Sci. China Inf. Sci., 2015

A reconfigurable general behavior data acquisition system for motor brain machine interface.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Dorsal premotor cortex of the macaque monkey participate grasp planning.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Anatomic-landmark detection using graphical context modelling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning.
IEEE Trans. Medical Imaging, 2013

Construction and Simulation Analysis for Stability Speed Parameter of Instantaneous Availability for One-Unit Repairable Systems.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012
Reinforcement learning for context-specific image analysis and understanding.
PhD thesis, 2012

Discretization model of instantaneous availability for continuous-time systems.
J. Comput., 2012

2011
Reinforcement Learning for Context Aware Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010
Subject Specific Shape Modeling with Incremental Mixture Models.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Instantaneous availability model with 2-D discrete characteristics of one-unit repairable systems.
Proceedings of the 11th International Conference on Control, 2010

2007
Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007


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