Chunyu Hu
Orcid: 0000-0002-3238-9888Affiliations:
- 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.
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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
IEEE Trans. Neural Networks Learn. Syst., December, 2024
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
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023
2022
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
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
Knowl. Based Syst., 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
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
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