| Deep Reinforcement Learning for Robust Beamforming in IRS-Assisted Wireless Communications J Lin, Y Zou, X Dong, S Gong, DT Hoang, D Niyato IEEE Global Communications Conference (GLOBECOM), 1-6, 2020 | 42 | 2020 |
| When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks S Gong, J Lin, B Ding, D Niyato, DI Kim, M Guizani IEEE Network, 190-198, 2022 | 21* | 2022 |
| Empowering In-Network Classification in Programmable Switches by Binary Decision Tree and Knowledge Distillation G Xie, Q Li, G Duan, J Lin, Y Dong, Y Jiang, D Zhao, Y Yang IEEE/ACM Transactions on Networking (ToN), 1-14, 2023 | 3 | 2023 |
| Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification G Xie, Q Li, J Lin, G Antichi, D Zhao, Z Yuan, R Li, Y Jiang IEEE International Conference on Network Protocols (ICNP), 1-11, 2023 | | 2023 |
| In-Forest: Distributed In-Network Classification with Ensemble Models J Lin, Q Li, G Xie, Y Jiang, Z Yuan, C Jiang, Y Yang IEEE International Conference on Network Protocols (ICNP), 1-12, 2023 | | 2023 |
