Recent advances in data-driven wireless communication using gaussian processes: a comprehensive survey K Chen, Q Kong, Y Dai, Y Xu, F Yin, L Xu, S Cui China Communications 19 (1), 218-237, 2022 | 76 | 2022 |
An interpretable and sample efficient deep kernel for Gaussian process Y Dai, T Zhang, Z Lin, F Yin, S Theodoridis, S Cui Conference on Uncertainty in Artificial Intelligence, 759-768, 2020 | 9 | 2020 |
A novel posture positioning method for multi-joint manipulators Z Yao, Y Dai, QN Li, D Xie, ZH Liu IEEE Sensors Journal 20 (23), 14310-14316, 2020 | 6 | 2020 |
Recent advances in data-driven wireless communication using gaussian processes: A comprehensive survey K Chen, Q Kong, Y Dai, Y Xu, F Yin, L Xu, S Cui arXiv preprint arXiv:2103.10134, 2021 | 4 | 2021 |
Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression L Xu, Y Dai, J Zhang, C Zhang, F Yin 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 4 | 2020 |
Graphical Multioutput Gaussian Process with Attention Y Dai, W Yan, F Yin The Twelfth International Conference on Learning Representations (Spotlight), 2023 | | 2023 |
Novel compressible adaptive spectral mixture kernels for Gaussian processes with sparse time and phase delay structures K Chen, Y Dai, F Yin, E Marchiori, S Theodoridis arXiv preprint arXiv:1808.00560, 2018 | | 2018 |