Spatial deep learning for wireless scheduling W Cui, K Shen, W Yu IEEE Journal on Selected Areas in Communications 37 (6), 1248-1261, 2019 | 298 | 2019 |
Optimizing coflow completion times with utility max-min fairness L Chen, W Cui, B Li, B Li IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 75 | 2016 |
Active Sensing for Communications by Learning F Sohrabi, T Jiang, W Cui, W Yu IEEE Journal on Selected Areas in Communications 40 (6), 1780-1794, 2022 | 52 | 2022 |
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer W Cui, W Yu IEEE Transactions on Communications 69 (12), 8200-8213, 2021 | 15 | 2021 |
Deep Learning for Robust Power Control for Wireless Networks W Cui, K Shen, W Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
Uncertainty injection: A deep learning method for robust optimization W Cui, W Yu IEEE Transactions on Wireless Communications 22 (11), 7201-7213, 2023 | 8 | 2023 |
A Clustering Approach to Wireless Scheduling W Cui, W Yu 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 7 | 2020 |
Reinforcement learning with non-cumulative objective W Cui, W Yu IEEE Transactions on Machine Learning in Communications and Networking 1 …, 2023 | 5 | 2023 |
Transfer Learning with Input Reconstruction Loss W Cui, W Yu GLOBECOM 2022-2022 IEEE Global Communications Conference, 615-620, 2022 | 3 | 2022 |
Scalable Reinforcement Learning For Routing In Ad-Hoc Networks Based On Physical-Layer Attributes W Cui, W Yu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation W Cui, R Hosseinzadeh, J Ma, T Wu, Y Sui, K Golestan arXiv preprint arXiv:2404.17489, 2024 | 1 | 2024 |
Transfer Learning with Reconstruction Loss W Cui, W Yu IEEE Transactions on Machine Learning in Communications and Networking, 2024 | | 2024 |
Generalizable Machine Learning for Mathematical Optimizations W Cui University of Toronto (Canada), 2023 | | 2023 |
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks W Cui, Y Sui, JC Cresswell, K Golestan NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, 0 | | |