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2020 – today
- 2025
[j5]Kang Chen, Xiuze Zhou, Yuanguo Lin
, Shibo Feng, Li Shen, Pengcheng Wu:
A survey on privacy risks and protection in large language models. J. King Saud Univ. Comput. Inf. Sci. 37(7) (2025)- [c6]Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen:
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. AAAI 2025: 746-754 - [c5]Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen:
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. ICLR 2025 - [i5]Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen:
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. CoRR abs/2502.08302 (2025) - [i4]Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen:
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. CoRR abs/2503.05108 (2025) - [i3]Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu:
A Survey on Privacy Risks and Protection in Large Language Models. CoRR abs/2505.01976 (2025) - [i2]Zhicheng Chen, Shibo Feng, Xi Xiao, Zhong Zhang, Qing Li, Xingyu Gao, Peilin Zhao:
MSDformer: Multi-scale Discrete Transformer For Time Series Generation. CoRR abs/2505.14202 (2025) - 2024
- [j4]Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao:
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36(5): 2056-2068 (2024) - [c4]Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao:
Latent Diffusion Transformer for Probabilistic Time Series Forecasting. AAAI 2024: 11979-11987 - [c3]Zhicheng Chen, Shibo Feng, Zhong Zhang, Xi Xiao, Xingyu Gao, Peilin Zhao:
SDformer: Similarity-driven Discrete Transformer For Time Series Generation. NeurIPS 2024 - 2023
- [j3]Yuanguo Lin, Shibo Feng, Fan Lin, Jianbing Xiahou, Wenhua Zeng:
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs. Appl. Soft Comput. 148: 110905 (2023) - [c2]Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin:
mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S). SEKE 2023: 530-535 - 2022
- [j2]Shibo Feng, Chen Xu, Yu Zuo, Guo Chen, Fan Lin, Jianbing Xiahou:
Relation-aware dynamic attributed graph attention network for stocks recommendation. Pattern Recognit. 121: 108119 (2022) - [c1]Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng:
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. ICDM 2022: 241-250 - [i1]Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao:
Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR abs/2205.07493 (2022) - 2021
- [j1]Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Adaptive course recommendation in MOOCs. Knowl. Based Syst. 224: 107085 (2021)
Coauthor Index
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