Shibo Feng

According to our database, Shibo Feng authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

MSDformer: Multi-scale Discrete Transformer For Time Series Generation.

Zhicheng Chen, Shibo Feng, Xi Xiao, Zhong Zhang, Qing Li, Xingyu Gao, Peilin Zhao

CoRR, May, 2025

A Survey on Privacy Risks and Protection in Large Language Models.

Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu

CoRR, May, 2025

TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting.

Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.

Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen

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

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

SDformer: Similarity-driven Discrete Transformer For Time Series Generation.

Zhicheng Chen, Shibo Feng, Zhong Zhang, Xi Xiao, Xingyu Gao, Peilin Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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