Kuo Yang

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

Bibliography

2024
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.
IEEE Trans. Mob. Comput., May, 2024

Articulated vehicle rollover detection and active control based on center of gravity position metric.
J. Syst. Control. Eng., March, 2024

FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.
CoRR, 2024

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.
CoRR, 2024

Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning.
CoRR, 2024

2023
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
Neural Networks, April, 2023

DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms.
Briefings Bioinform., January, 2023

DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning.
Briefings Bioinform., January, 2023

SympGAN: A systematic knowledge integration system for symptom-gene associations network.
Knowl. Based Syst., 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
CoRR, 2023

A optimization framework for herbal prescription planning based on deep reinforcement learning.
CoRR, 2023

Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction.
CoRR, 2023

A Pre-training Framework for Knowledge Graph Completion.
CoRR, 2023

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cup-Disk Ratio Segmentation Joint with Key Retinal Vascular Information Under Diagnostic and Screening Scenarios.
Proceedings of the Advances in Computer Graphics, 2023

Application of constraint-based frequent closed itemsets Mining in TCM Clinical data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Analysis of the effect of the interaction between medical and comorbidities on hospital readmission in patients with rheumatoid arthritis based on case data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Link Prediction based on Tensor Decomposition for the Knowledge Graph of COVID-19 Antiviral Drug.
Data Intell., 2022

Decoding multilevel relationships with the human tissue-cell-molecule network.
Briefings Bioinform., 2022

Memory Replay with Data Compression for Continual Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Re-examining Distillation for Continual Object Detection.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease.
CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.
CoRR, 2021

RSS-Based Indoor Localization Using Min-Max Algorithm With Area Partition Strategy.
IEEE Access, 2021

Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Phenonizer: A fine-grained phenotypic named entity recognizer for Chinese clinical texts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network.
Sensors, 2020

Integrated network analysis of symptom clusters across disease conditions.
J. Biomed. Informatics, 2020

Disease phenotype synonymous prediction through network representation learning from PubMed database.
Artif. Intell. Medicine, 2020

Skid-Proof Operation of Wheel Loader Based on Model Prediction and Electro-Hydraulic Proportional Control Technology.
IEEE Access, 2020

Research and Design of a High Isolation 5G Antenna for Smart Phone.
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

Network-based gene prediction for TCM symptoms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Ammonia Distribution Control for a Two-cell SCR System in a New Configuration.
Proceedings of the 2020 American Control Conference, 2020

2019
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction.
IEEE J. Biomed. Health Informatics, 2019

Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network.
Sensors, 2019

SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping.
Nucleic Acids Res., 2019

2018
Heterogeneous network propagation for herb target identification.
BMC Medical Informatics Decis. Mak., 2018

Heterogeneous network embedding for identifying symptom candidate genes.
J. Am. Medical Informatics Assoc., 2018

2017
Overlapping Functional Modules Detection in PPI Network with Pairwise Constrained Nonnegative Matrix Tri-Factorization.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Similarity-based algorithms for Disease Terminology Mapping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Integrating herb effect similarity for network-based herb target prediction.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

2013
Efficient Reconstruction of Dielectric Objects Based on Integral Equation Approach With Gauss-Newton Minimization.
IEEE Trans. Image Process., 2013

2011
The CMM Measurement Path Planning for Blade Surface Based on the Contour Measurement.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011


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