| A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu, X Yi Computer Science Review 37, 100270, 2020 | 573 | 2020 |
| Degrees of freedom of time correlated MISO broadcast channel with delayed CSIT S Yang, M Kobayashi, D Gesbert, X Yi IEEE Transactions on Information Theory 59 (1), 315 - 328, 2013 | 277 | 2013 |
| FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification MB Khalilsarai, S Haghighatshoar, X Yi, G Caire IEEE Transactions on Wireless Communications 18 (1), 121-135, 2019 | 120 | 2019 |
| Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning C Wu, X Yi, Y Zhu, W Wang, L You, X Gao IEEE Journal on Selected Areas in Communications 39 (7), 1915-1930, 2021 | 93 | 2021 |
| The degrees of freedom region of temporally correlated MIMO networks with delayed CSIT X Yi, S Yang, D Gesbert, M Kobayashi IEEE Transactions on Information Theory 60 (1), 594-614, 2014 | 72 | 2014 |
| Learning to localize: A 3D CNN approach to user positioning in massive MIMO-OFDM systems C Wu, X Yi, W Wang, L You, Q Huang, X Gao, Q Liu IEEE Transactions on Wireless Communications 20 (7), 4556-4570, 2021 | 71 | 2021 |
| Enhancing Adversarial Training with Second-Order Statistics of Weights G Jin, X Yi, W Huang, S Schewe, X Huang IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 | 70 | 2022 |
| Topological interference management with transmitter cooperation X Yi, D Gesbert IEEE Transactions on Information Theory 61 (11), 6107 - 6130, 2015 | 65 | 2015 |
| Optimality of treating interference as noise: A combinatorial perspective X Yi, G Caire IEEE Transactions on Information Theory 62 (8), 4654-4673, 2016 | 62 | 2016 |
| How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks G Jin, X Yi, L Zhang, L Zhang, S Schewe, X Huang Advances in Neural Information Processing Systems (NeurIPS), 2020 | 60 | 2020 |
| User scheduling for heterogeneous multiuser MIMO systems: a subspace viewpoint X Yi, EKS Au IEEE Transactions on Vehicular Technology 60 (8), 4004-4013, 2011 | 60 | 2011 |
| Randomized Adversarial Training via Taylor Expansion G Jin, X Yi, D Wu, R Mu, X Huang IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 56 | 2023 |
| Safety and trustworthiness of deep neural networks: A survey X Huang, D Kroening, M Kwiatkowska, W Ruan, Y Sun, E Thamo, M Wu, ... arXiv preprint arXiv:1812.08342, 151, 2018 | 55 | 2018 |
| Deep learning-based robust precoding for massive MIMO J Shi, W Wang, X Yi, X Gao, GY Li IEEE Transactions on Communications 69 (11), 7429-7443, 2021 | 52* | 2021 |
| Energy efficiency optimization for downlink massive MIMO with statistical CSIT L You, J Xiong, X Yi, J Wang, W Wang, X Gao IEEE Transactions on Wireless Communications 19 (4), 2684-2698, 2020 | 47 | 2020 |
| Near-field wideband extremely large-scale MIMO transmissions with holographic metasurface-based antenna arrays J Xu, L You, GC Alexandropoulos, X Yi, W Wang, X Gao IEEE Transactions on Wireless Communications, 2024 | 45 | 2024 |
| On the degrees of freedom of time correlated MISO broadcast channel with delayed CSIT M Kobayashi, S Yang, D Gesbert, X Yi 2012 IEEE International Symposium on Information Theory Proceedings, https …, 2012 | 45 | 2012 |
| Precoding methods for the MISO broadcast channel with delayed CSIT X Yi, D Gesbert IEEE Transactions on Wireless Communications 12 (5), 1-11, 2013 | 41 | 2013 |
| TDMA is optimal for all-unicast DoF region of TIM if and only if topology is chordal bipartite X Yi, H Sun, SA Jafar, D Gesbert IEEE Transactions on Information Theory 64 (3), 2065-2076, 2018 | 40* | 2018 |
| On the degrees of freedom of the K-user time correlated broadcast channel with delayed CSIT P de Kerret, X Yi, D Gesbert 2013 IEEE International Symposium on Information Theory, 624-628, 2013 | 33 | 2013 |
Xiaowei HuangProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
