Yupei Zhang

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

Bibliography

2024
Federated learning-outcome prediction with multi-layer privacy protection.
Frontiers Comput. Sci., December, 2024

Doubly constrained offline reinforcement learning for learning path recommendation.
Knowl. Based Syst., 2024

Weakly supervised text classification framework for noisy-labeled imbalanced samples.
Neurocomputing, 2024

Self-paced contrastive learning for knowledge tracing.
Neurocomputing, 2024

Adaptive meta-knowledge dictionary learning for incremental knowledge tracing.
Eng. Appl. Artif. Intell., 2024

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading.
CoRR, 2024

Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning.
CoRR, 2024

Knowledge-Driven Subspace Fusion and Gradient Coordination for Multi-modal Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Intelligent Anti-Jamming Decision With Continuous Action and State in Bivariate Frequency Agility Communication System.
IEEE Trans. Cogn. Commun. Netw., December, 2023

Radar Active Jamming Recognition under Open World Setting.
Remote. Sens., August, 2023

Doubly contrastive representation learning for federated image recognition.
Pattern Recognit., July, 2023

Facial Micro-Expression Recognition Using Double-Stream 3D Convolutional Neural Network with Domain Adaptation.
Sensors, April, 2023

Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks.
IEEE Trans. Big Data, February, 2023

GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks.
CoRR, 2023

Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet.
Proceedings of the Computer Science and Education. Educational Digitalization, 2023

Concept-level recognition from neuroimages for understanding learning in the brain.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Learning path design on knowledge graph by using reinforcement learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Semantic concept recognition in learning brain by using deep convolutional networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Deep Knowledge Tracing with Concept Trees.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Knowledge-Concept Diagnosis from fMRIs by Using a Space-Time Embedding Graph Convolutional Network.
Proceedings of the Web Information Systems and Applications, 2023

2022
Graph-regularized federated learning with shareable side information.
Knowl. Based Syst., 2022

Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory.
CoRR, 2022

Malware detection based on visualization of recombined API instruction sequence.
Connect. Sci., 2022

3D variable flip angle T1 mapping for differentiating benign and malignant liver lesions at 3T: comparison with diffusion weighted imaging.
BMC Medical Imaging, 2022

Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data.
Proceedings of the Intelligent Computing Theories and Application, 2022

Online Deep Knowledge Tracing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Research on Phoneme Recognition using Attention-based Methods.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

Personalized Federated Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Markov Guided Spatio-Temporal Networks for Brain Image Classification<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Contrastive Deep Knowledge Tracing.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Saliency Detection with Moving Camera via Background Model Completion.
Sensors, 2021

ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes.
Briefings Bioinform., 2021

Limited Data Spectrum Sensing Based on Semi-Supervised Deep Neural Network.
IEEE Access, 2021

A 256-QAM Backscatter Transponder Architecture using Delta-Sigma Load Modulation for 6G Ultra-Low-Power IoT Devices.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks.
Proceedings of the 7th International Conference on Systems and Informatics, 2021

VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
IEEE Trans. Medical Imaging, 2020

Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis.
Knowl. Based Syst., 2020

Integrated Sparse Coding With Graph Learning for Robust Data Representation.
IEEE Access, 2020

2019
融合学习差分进化和粒子群优化算法的认知决策引擎 (Cognitive Decision Engine of Hybrid Learning Differential Evolution and Particle Swarm Optimization).
计算机科学, 2019

Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Hierarchical sparse coding from a Bayesian perspective.
Neurocomputing, 2018

Low-Rank Graph Regularized Sparse Coding.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2017
Low-rank preserving embedding.
Pattern Recognit., 2017

Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search.
Pattern Recognit., 2017

2016
Multi-manifold Discriminant Isomap for visualization and classification.
Pattern Recognit., 2016

Linear dimensionality reduction based on Hybrid structure preserving projections.
Neurocomputing, 2016

Multi-floor PPP model for performance analysis of indoor wireless networks.
Proceedings of the 19th International Symposium on Wireless Personal Multimedia Communications, 2016

2015
Learning discriminant isomap for dimensionality reduction.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


  Loading...