About me: 

Lifeng Shen is currently a faculty member at School of Artificial Intelligence, Chongqing University of Posts and Telecommunications (CQUPT/重庆邮电大学).

He received his Ph.D. degree in Artificial Intelligence from the Hong Kong University of Science and Technology (HKUST/香港科技大学) in 2024. His supervisors are Prof. James T. Kwok and Prof. Pan Hui. Previously, he received his MPhil degree in CSE from the South China University of Technology (SCUT/华南理工大学) under the supervision of Prof. Qianli Ma.

His current research interests include: time series modeling, multiscale analysis, recurrent neural networks, reservoir computing, generative methods, representation learning.

Selected publication：

1. Lifeng Shen, Weiyu Chen, James Kwok. Multi-resolution diffusion models for time series forecasting. International Conference on Learning Representations (ICLR), 2024.

2. Lifeng Shen, James Kwok. Non-autoregressive conditional diffusion models for time series prediction. International Conference on Machine Learning (ICML), 2023. 

3. Desen Huang*, Lifeng Shen*, Zhongzhong Yu, Zhenjing Zheng, Min Huang, Qianli Ma. Efficient time series anomaly detection by multiresolution self-supervised discriminative network. Neurocomputing, 2022.

4. Lifeng Shen, Zhongzhong Yu, Qianli Ma, James Kwok. Time series anomaly detection with multiresolution ensemble decoding. AAAI Conference on Artificial Intelligence (AAAI), 2021.

5. Lifeng Shen, Zhuocong Li, James Kwok. Timeseries anomaly detection using temporal hierarchical one-class network. Neural Information Processing Systems (NeurIPS), 2020. 

6. Qianli Ma, Lifeng Shen, Garrison W. Cottrell. DeePr-ESN: A deep projection-encoding echo-state network. Information Sciences, 2020.

7. Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell. Time series classification with echo memory networks. Neural Networks, 2019.

8. Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell. End-to-end incomplete time series modeling from linear memory of latent variables. IEEE Transactions on Cybernetics, 2019.

9. Lifeng Shen, Qianli Ma, Sen Li, End-to-end time series imputation via residual short path. Asian Conference on Machine Learning (ACML), 2018.

10. Hongyang Qin, Lifeng Shen, Chijun Sima, Qianli Ma, Rbf networks with dynamic barycenter averaging kernel for time series classification. International CCF Conference on Artificial Intelligence (ICAI), 2018.

11. Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell, WALKING WALKing walking: Action recognition from action echoes. International Joint Conference on Artificial Intelligence (IJCAI),  2017.

12. Qianli Ma, Lifeng Shen, Wanqing Zhuang, and Jieyu Chen, Decouple adversarial capacities with dual-reservoir network. International Conference on Neural Information Processing (ICONIP), 2017.

13. Qianli Ma, Lifeng Shen, Ruishi Su and Jieyu Chen, Two-stage temporal multimodal learning for speaker and speech recognition. International Conference on Neural Information Processing (ICONIP), 2017.

14. Qianli Ma, Lifeng Shen, Weibiao Chen, Jiabing Wang, Jia Wei, Zhiwen Yu. Functional echo state network for time series classification. Information Sciences, 2016.