Lifeng SHEN | 沈礼锋

He received his Ph.D. degree in artificial intelligence from the Hong Kong University of Science and Technology (HKUST) in 2024. His supervisors are Prof. James T. Kwok and Prof. Pan Hui.

Previously, he received his MPhil degree in computer science and engineering from the South China University of Technology (SCUT) under the supervision of Prof. Qianli Ma.

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

   lshenae@connect.ust.hk       google scholar

至纯无畏, 保持温暖 (Stay hungry, Stay young)

Selected Publication

Please visit my google scholar for the full list of publications


Timeseries Diffusion Models

Multi-resolution diffusion models for time series forecasting.
  • Lifeng Shen, Weiyu Chen, James Kwok.
  • ICLR 2024
Non-autoregressive conditional diffusion models for time series prediction.
  • Lifeng Shen, James Kwok.
  • ICML 2023

One-Class Classification

Time series anomaly detection with multiresolution ensemble decoding.
  • Lifeng Shen, Zhongzhong Yu, Qianli Ma and James Kwok.
  • AAAI 2021
Timeseries anomaly detection using temporal hierarchical one-class network.
  • Lifeng Shen, Zhuocong Li and James Kwok.
  • NeurIPS 2020

Deep Reservoir Computing

DeePr-ESN: A deep projection-encoding echo-state network.
  • Qianli Ma, Lifeng Shen, Garrison W. Cottrell.
  • Information Sciences, 2020
WALKING WALKing walking: action recognition from action echoes.
  • Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell.
  • IJCAI 2017


Academic Service

  • Conference reviewer of ICML, NeurlPS, KDD, IJCAI, ICLR, SDM and ACML.
  • Journal reviewer of TNNLS, TPAMI, Neural Networks, Information Fusion, Information Sciences, Knowledge-Based Systems, Neurocomputing, ESWA, Applied Soft Computing, Machine Learning, and Artificial Intelligence.

Links