Shibo Feng

According to our database, Shibo Feng authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Multi-Scale Attention Flow for Probabilistic Time Series Forecasting.

Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao

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

Latent Diffusion Transformer for Probabilistic Time Series Forecasting.

Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs.

Yuanguo Lin, Shibo Feng, Fan Lin, Jianbing Xiahou, Wenhua Zeng

Appl. Soft Comput., November, 2023

mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S).

Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022

Relation-aware dynamic attributed graph attention network for stocks recommendation.

Shibo Feng, Chen Xu, Yu Zuo, Guo Chen, Fan Lin, Jianbing Xiahou

Pattern Recognit., 2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting.

Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao

CoRR, 2022

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction.

Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Adaptive course recommendation in MOOCs.

Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu

Knowl. Based Syst., 2021