Weijun Chen

According to our database, Weijun Chen authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Enhancer: A Distribution-Aware Framework with Temporal-Relational Meta-Learning for Stock Prediction.

Weijun Chen, Shun Li, Heyuan Wang, Tengjiao Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction.

Weijun Chen, Yanze Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast.

Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Weijun Chen, Wei Chen

IEEE Trans. Knowl. Data Eng., September, 2024

Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation.

Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting.

Weijun Chen, Heyuan Wang, Ye Tian, Shijie Guan, Ning Liu

CoRR, 2023

2022

Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting.

Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen

CoRR, 2022

Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility.

Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen

Proceedings of the Asian Conference on Machine Learning, 2022