Yakun Chen

According to our database, Yakun Chen authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Listwise Preference Alignment Optimization for Tail Item Recommendation.

Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong

CoRR, July, 2025

Deep multimodal learning for time series analysis in social computing: a survey.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo

Int. J. Multim. Inf. Retr., June, 2025

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.

Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng

ACM Comput. Surv., February, 2025

Large Language Models are Few-shot Multivariate Time Series Classifiers.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu

CoRR, February, 2025

Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation.

Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang

Proceedings of the ACM on Web Conference 2025, 2025

2024

Multi-view GCN for loan default risk prediction.

Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu

Neural Comput. Appl., July, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Eng. Appl. Artif. Intell., January, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu

CoRR, 2024

2023

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

Yakun Chen, Xianzhi Wang, Guandong Xu

CoRR, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu

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.

Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.

Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu

Proceedings of the IEEE International Conference on Services Computing, 2022