Yijun Zhao
Orcid: 0000-0003-2424-5988
According to our database1,
Yijun Zhao
authored at least 48 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
IEEE Robotics Autom. Lett., October, 2023
Evaluation of computational fluid dynamics models for predicting pediatric upper airway airflow characteristics.
Medical Biol. Eng. Comput., 2023
Occluded Person Re-Identification With Pose Estimation Correction and Feature Reconstruction.
IEEE Access, 2023
MFGCL: Light graph contrast learning with multi-feature information for recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
2022
Optimization for deep convolutional neural network of stochastic computing on MLC-PCM-based system.
Microprocess. Microsystems, April, 2022
Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions.
J. Imaging, 2022
Learning time-dependent PDEs with a linear and nonlinear separate convolutional neural network.
J. Comput. Phys., 2022
A Calibrated Ensemble Algorithm to Address Data Heterogeneity in Machine Learning: An Application to Identify Severe SLE Flares in Lupus Patients.
IEEE Access, 2022
A Novel Piece-wise Non-singular Fast Terminal Sliding Mode Control for Second-order Nonlinear System.
Proceedings of the World Automation Congress, 2022
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
US County-level Risk Factors Associated with COVID-19 Exacerbation During the Vaccination Era.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Comparison of Deep Learning and Traditional Machine Learning Approaches in Detecting Cognitive Impairment Using MRI Scans.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
SignFind: A Synchronized Sign Language and Chinese Character Teaching Game for Chinese Deaf Children Using Gesture Recognition.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Menstrual Monster: A Tangible Interactive Co-educational Game Designed for Teenagers.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
Startup Investment Decision Support: Application of Venture Capital Scorecards Using Machine Learning Approaches.
Syst., 2021
MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression.
IEEE Access, 2021
Rope X: Assistance and Guidance on Jumping Rope Frequency, based on Real-time, Heart Rate Feedback During Exercise.
Proceedings of the UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, 2021
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
PneuMat: Pneumatic Interaction System for Infant Sleep Safety Using Shape-Changing Interfaces.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
StoryDrawer: A Co-Creative Agent Supporting Children's Storytelling through Collaborative Drawing.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the IDC '21: Interaction Design and Children, 2021
2020
npj Digit. Medicine, 2020
Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.
npj Digit. Medicine, 2020
Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers.
CoRR, 2020
A Computer-Aided Diagnosis System of Breast Lesion Classification Based on Multi Angle Fusion Strategy in Ultrasound Images.
Proceedings of the VSIP '20: 2020 2nd International Conference on Video, 2020
GRU-DF: A Temporal Model with Dynamic Imputation for Missing Target Values in Longitudinal Patient Data.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Predicting Student Performance in a Master's Program in Data Science using Admissions Data.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
2018
Proceedings of the Distributed, Ambient and Pervasive Interactions: Understanding Humans, 2018
2017
Proceedings of the Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017
2016
含有效冲突的恒定连续Petri网演变图及构造算法 (Developing Graph and Generating Algorithm for Constant Continuous Petri Net with Effective Conflict).
计算机科学, 2016
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations.
Proceedings of the 31th International Conference on Machine Learning, 2014