Chunyu Hu

Orcid: 0000-0002-3238-9888

Affiliations:
  • Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (PhD 2020)


According to our database1, Chunyu Hu authored at least 28 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Global Partition with Local Enhancement network for multitask learning of malignant melanoma.
Biomed. Signal Process. Control., 2025

SGAEMVN: A Hybrid Neighborhood-Based Graph Attention Autoencoder for Identifying Spatial Domains from Spatial Transcriptomics.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

A Data Contribution-Based Adaptive Federated Learning Approach for Wearable Activity Recognition.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Optimization for Task Offloading and Downloading in UAV-Assisted MEC Systems with Aerial to Aerial Collaboration.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Optimization of UAV base station placement for D2D content delivery network.
Soft Comput., July, 2024

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.
Future Gener. Comput. Syst., 2024

ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023
Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks With Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
J. Comput. Sci. Technol., September, 2023

Team Recruitment of Collaborative Crowdsensing under Joint Constraints of Willingness and Trust.
Int. J. Intell. Syst., 2023

A Novel Method for Wearable Activity Recognition with Feature Evolvable Streams.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023

2022
Adaptive coefficient-based kernelized network for personalized activity recognition.
Int. J. Mach. Learn. Cybern., 2022

Disagreement-based class incremental random forest for sensor-based activity recognition.
Knowl. Based Syst., 2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

DSWHAR: A Dynamic Sliding Window Based Human Activity Recognition Method.
Proceedings of the IEEE Smartworld, 2022

Multi-Source Integration based Transfer Learning Method for Cross-User sEMG Gesture Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm.
Int. J. Hum. Comput. Stud., 2021

2020
Knowledge and emotion dual-driven method for crowd evacuation.
Knowl. Based Syst., 2020

2019
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition.
IEEE Trans. Knowl. Data Eng., 2019

2018
Inferring Cognitive Wellness from Motor Patterns.
IEEE Trans. Knowl. Data Eng., 2018

A novel random forests based class incremental learning method for activity recognition.
Pattern Recognit., 2018

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition.
Int. J. Mach. Learn. Cybern., 2018

2017
A multistage collaborative filtering method for fall detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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