| Low-rank tensor decomposition-aided channel estimation for millimeter wave MIMO-OFDM systems Z Zhou, J Fang, L Yang, H Li, Z Chen, RS Blum IEEE Journal on Selected Areas in Communications 35 (7), 1524-1538, 2017 | 289 | 2017 |
| Deep clustering by gaussian mixture variational autoencoders with graph embedding L Yang, NM Cheung, J Li, J Fang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 172 | 2019 |
| Channel estimation for millimeter-wave multiuser MIMO systems via PARAFAC decomposition Z Zhou, J Fang, L Yang, H Li, Z Chen, S Li IEEE Transactions on Wireless Communications 15 (11), 7501-7516, 2016 | 131 | 2016 |
| Fast inverse-free sparse Bayesian learning via relaxed evidence lower bound maximization H Duan, L Yang, J Fang, H Li IEEE Signal Processing Letters 24 (6), 774-778, 2017 | 85 | 2017 |
| Unsupervised deep spectrum sensing: A variational auto-encoder based approach J Xie, J Fang, C Liu, L Yang IEEE Transactions on Vehicular Technology 69 (5), 5307-5319, 2020 | 68 | 2020 |
| Self-supervised gan: Analysis and improvement with multi-class minimax game NT Tran, VH Tran, BN Nguyen, L Yang, NMM Cheung Advances in neural information processing systems 32, 2019 | 67 | 2019 |
| Fast low-rank Bayesian matrix completion with hierarchical Gaussian prior models L Yang, J Fang, H Duan, H Li, B Zeng IEEE Transactions on Signal Processing 66 (11), 2804-2817, 2018 | 61 | 2018 |
| Robust time series analysis and applications: An industrial perspective Q Wen, L Yang, T Zhou, L Sun Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 55 | 2022 |
| Fast compressed power spectrum estimation: Toward a practical solution for wideband spectrum sensing L Yang, J Fang, H Duan, H Li IEEE Transactions on Wireless Communications 19 (1), 520-532, 2019 | 41 | 2019 |
| Sparse Bayesian dictionary learning with a Gaussian hierarchical model L Yang, J Fang, H Cheng, H Li Signal Processing 130, 93-104, 2017 | 35 | 2017 |
| Learning interpretable decision rule sets: a submodular optimization approach F Yang, K He, L Yang, H Du, J Yang, B Yang, L Sun Advances in Neural Information Processing Systems 34, 27890-27902, 2021 | 32 | 2021 |
| An iterative reweighted method for tucker decomposition of incomplete tensors L Yang, J Fang, H Li, B Zeng IEEE Transactions on Signal Processing 64 (18), 4817-4829, 2016 | 30 | 2016 |
| Adaptive one-bit quantization for compressed sensing J Fang, Y Shen, L Yang, H Li Signal Processing 125, 145-155, 2016 | 25 | 2016 |
| A robust and efficient multi-scale seasonal-trend decomposition L Yang, Q Wen, B Yang, L Sun ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 19 | 2021 |
| Energy forecasting with robust, flexible, and explainable machine learning algorithms Z Zhu, W Chen, R Xia, T Zhou, P Niu, B Peng, W Wang, H Liu, Z Ma, X Gu, ... AI Magazine 44 (4), 377-393, 2023 | 14 | 2023 |
| Netrca: An effective network fault cause localization algorithm C Zhang, Z Zhou, Y Zhang, L Yang, K He, Q Wen, L Sun ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Low-rank phase retrieval via variational bayesian learning K Liu, J Wang, Z Xing, L Yang, J Fang IEEE Access 7, 5642-5648, 2018 | 10 | 2018 |
| Robust initialization estimator and its application in solving quadratic equations K Liu, L Yang, J Xie IEEE Access 7, 62433-62442, 2019 | 6 | 2019 |
| Localized low-rank promoting for recovery of block-sparse signals with intrablock correlation L Yang, J Fang, H Li, B Zeng IEEE Signal Processing Letters 23 (10), 1399-1403, 2016 | 6 | 2016 |
| Interactive generalized additive model and its applications in electric load forecasting L Yang, R Ren, X Gu, L Sun Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
