| 2026 | AAAI | TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective. | Lifeng Shen, Xuyang Li, Lele Long |
| 2026 | AAAI | Finding Time Series Anomalies Using Granular-Ball Vector Data Description. | Lifeng Shen, Liang Peng, Ruiwen Liu, Shuyin Xia, Yi Liu |
| 2025 | IJCAI | Granular-Ball-Induced Multiple Kernel K-Means. | Shuyin Xia, Yifan Wang, Lifeng Shen, Guo-Yin Wang |
| 2024 | ICLR | Multi-Resolution Diffusion Models for Time Series Forecasting. | Lifeng Shen, Weiyu Chen, James T. Kwok |
| 2023 | ICML | Non-autoregressive Conditional Diffusion Models for Time Series Prediction. | Lifeng Shen, James T. Kwok |
| 2021 | AAAI | Time Series Anomaly Detection with Multiresolution Ensemble Decoding. | Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok |
| 2018 | ACML | End-to-End Time Series Imputation via Residual Short Paths. | Lifeng Shen, Qianli Ma, Sen Li |
| 2017 | ICONIP | Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. | Qianli Ma, Lifeng Shen, Ruishi Su, Jieyu Chen |
| 2017 | ICONIP | Decouple Adversarial Capacities with Dual-Reservoir Network. | Qianli Ma, Lifeng Shen, Wanqing Zhuang, Jieyu Chen |
| 2017 | IJCAI | WALKING WALKing walking: Action Recognition from Action Echoes. | Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell |