Yakun Chen

Orcid: 0000-0002-8331-3410

According to our database1, Yakun Chen authored at least 19 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
WEANet: Bridging wavelet inductive bias with network parameter initialization for time series modeling.
Neural Networks, 2026

privXCA: An efficient and privacy-preserving auditing architecture for cross-chain transfers.
J. Syst. Archit., 2026

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CAAI Trans. Intell. Technol., 2026

Contrastive representation learning for multivariate time series classification based on temporal-frequency consistency.
Appl. Soft Comput., 2026

2025
Large language models are few-shot multivariate time series classifiers.
Data Min. Knowl. Discov., September, 2025

Listwise Preference Alignment Optimization for Tail Item Recommendation.
CoRR, July, 2025

Deep multimodal learning for time series analysis in social computing: a survey.
Int. J. Multim. Inf. Retr., June, 2025

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
ACM Comput. Surv., February, 2025

Reconfiguring Urban-Rural Systems Through Agricultural Service Reform: A Socio-Technical Perspective from China.
Syst., 2025

Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

AgentLesson: LLM-Based Multi-agent System for Educational Lesson Plan Generation.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024
Multi-view GCN for loan default risk prediction.
Neural Comput. Appl., July, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell., January, 2024

2023
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.
CoRR, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
Proceedings of the IEEE International Conference on Services Computing, 2022


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