| 2025 | IECON | Control theory-informed machine learning aided stable kernel representation for nonlinear system monitoring. | Wei Cheng, Ketian Liang, Danijel Cuturic, Linlin Li, Chris Louen, Steven X. Ding |
| 2022 | ICPRAM | Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. | Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding |
| 2020 | ICANN | Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. | Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding |
| 2020 | IECON | Data-based control of Peristaltic Sortation Machines using Discrete Element Method. | Fabian Westbrink, Andreas Schwung, Steven X. Ding |
| 2019 | INDIN | Potential Game based Distributed Optimization of Modular Production Units. | Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding |
| 2017 | INDIN | An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. | Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding |
| 2017 | INDIN | Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. | Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding |
| 2017 | IECON | Adaptive and iterative residual generator design for PnP process monitoring and control system. | Hao Luo, Shen Yin, Steven X. Ding, Shane Dominic |
| 2006 | ICONIP | Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification. | Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding |
| 2006 | ICONIP | Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition. | Haiqing Wang, Daoying Pi, Ning Jiang, Steven X. Ding |
| 2004 | ICARCV | Fault detection of networked control systems with network-induced delay. | Hao Ye, Steven X. Ding |