| 2026 | AAAI | SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification. | Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen |
| 2026 | AAAI | Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space. | Xiren Zhou, Chuyang Wei, Ao Chen, Shikang Liu, Xiangyu Wang, Huanhuan Chen |
| 2025 | ICASSP | Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics. | Ziyu Tang, Xiren Zhou, Ao Chen, Shikang Liu, Chuyang Wei, Huanhuan Chen |
| 2025 | ICASSP | Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space. | Ziyu Tang, Xiren Zhou, Shikang Liu, Chuyang Wei, Ao Chen, Huanhuan Chen |
| 2025 | ICML | Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification. | Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen |
| 2025 | IJCAI | Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space. | Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen |
| 2025 | IJCAI | Fault Diagnosis in REDNet Model Space. | Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen |
| 2024 | IJCAI | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. | Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen |
| 2022 | CIKM | Nonlinear Causal Discovery in Time Series. | Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen |
| 2020 | PSB | The Power of Dynamic Social Networks to Predict Individuals' Mental Health. | Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic |