| 2026 | WCNC | Federated Learning-Based Network Traffic Prediction for Digital Twin in Next-Generation Networks. | Jian Song, Laisen Nie, Yixuan Wu, Muyang Zhu, Yongjie Li |
| 2024 | FUSION | A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew. | Jihao Yang, Xinyang Deng, Laisen Nie, Wen Jiang |
| 2022 | GLOBECOM | Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach. | Jian Song, Hua Liu, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun |
| 2019 | GLOBECOM | Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. | Laisen Nie, Huizhi Wang, Shimin Gong, Zhaolong Ning, Mohammad S. Obaidat, Kuei-Fang Hsiao |
| 2019 | GLOBECOM | Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks. | Huizhi Wang, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Runze Shang |
| 2019 | IGARSS | A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems. | Yongkang Li, Laisen Nie |
| 2017 | WCNC | Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks. | Laisen Nie, Dingde Jiang, Shui Yu, Houbing Song |
| 2016 | GLOBECOM | Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks. | Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu, Houbing Song |