Lifeng SHEN | 沈礼锋


Doing what you like is freedom. Liking what you do is happiness.



Lifeng Shen is an Associate Professor at Chongqing University of Posts and Telecommunications (CQUPT), where he is a member of the Big Data Intelligent Computing Innovation Team and the Chongqing Key Laboratory of Computational Intelligence. He earned his Ph.D. from the Hong Kong University of Science and Technology (HKUST). In 2025, he was elected as a committee member of the Particle Computing and Knowledge Discovery Professional Committee of the Chinese Association for Artificial Intelligence. He also served as the Workflow Chair for IJCAI 2025. His current research interests include deep learning, time series modeling, and generative methods.

   shenlf@cqupt.edu.cn       google scholar 【中文主页】

至纯无畏, 保持温暖 (Stay hungry, Stay young)

News

  • [08/11/2025] Two papers have been accepted to AAAI'26: Liang's GBOC and Xuyang's TSGDiff. Congrats!
  • [29/07/2025] I became a member of the Granular Computing and Knowledge Discovery Committee of CAAI.
  • [29/04/2025] Yifan's work on "Granular-ball-induced Multiple Kernel K-means" has been accepted to IJCAI'25.

Education

  • Ph.D. in Artificial Intelligence. Hong Kong University of Science and Technology (HKUST).
  • Master’s in Computer Science. South China University of Technology (SCUT).
  • BS in Mathematics. Jinan University (JNU).

Academic Service

  • Workflow chair for IJCAI 2025.
  • Conference reviewer of ICML, NeurlPS, ICLR, KDD, AAAI, IJCAI, AISTATS and SDM.
  • Journal reviewer of TNNLS, TPAMI, Neural Networks, Information Fusion, Information Sciences, Knowledge-Based Systems, Neurocomputing, ESWA, Applied Soft Computing, Machine Learning, and Artificial Intelligence.

Current Students

Name Intake Program
Yifan Wang (王一钒) 2023 PhD
Hongxuan He (何洪萱) 2024 PhD
Liang Peng (彭亮) 2024 Master
Lele Long (龙乐乐) 2024 Master
Ruiwen Liu (刘睿文) 2024 Master
Xuyang Li (李旭阳) 2024 Master
Mengyuan Xu (许梦媛) 2024 Master
Gezhang Cao (曹格章) 2025 Master
Yunzheng He (何云峥) 2025 Master
Xiaoxue Fan (樊晓雪) 2025 Master
Yizhi Chen (陈艺之) 2025 Master
Wanting Deng (邓婉婷) 2026 Master
Ziyi Cui (崔子怡) 2026 Master

Selected Publication

Please visit my google scholar for the full list of publications


Timeseries Diffusion Models

TSGDiff: Rethinking synthetic time series generation from a pure graph perspective.
  • Lifeng Shen, Xuyang Li, Lele Long.
  • AAAI 2026
mr-Diff: Multi-resolution diffusion models for time series forecasting.
  • Lifeng Shen, Weiyu Chen, James Kwok.
  • ICLR 2024
TimeDiff: Non-autoregressive conditional diffusion models for time series prediction.
  • Lifeng Shen, James Kwok.
  • ICML 2023

One-Class Classification

Finding time series anomalies using granular-ball vector data description.
  • Lifeng Shen, Liang Peng, Ruiwen Liu, YI LIU and Shuyin Xia.
  • AAAI 2026
RAMED: Time series anomaly detection with multiresolution ensemble decoding.
  • Lifeng Shen, Zhongzhong Yu, Qianli Ma and James Kwok.
  • AAAI 2021
THOC: 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
ConvESN: WALKING WALKing walking: action recognition from action echoes.
  • Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell.
  • IJCAI 2017