| Integrated Sensing and Communication with Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation R Zhang, L Cheng*, S Wang, Y Lou, Y Gao, W Wu, DWK Ng IEEE Transactions on Wireless Communications, 2024 | 126 | 2024 |
| Rethinking Bayesian learning for data analysis: The art of prior and inference in sparsity-aware modeling L Cheng, F Yin, S Theodoridis, S Chatzis, TH Chang IEEE Signal Processing Magazine 39 (6), 18-52, 2022 | 98 | 2022 |
| Subspace identification for DOA estimation in massive/full-dimension MIMO systems: Bad data mitigation and automatic source enumeration L Cheng, YC Wu, J Zhang, L Liu IEEE Transactions on Signal Processing 63 (22), 5897-5909, 2015 | 68 | 2015 |
| Probabilistic tensor canonical polyadic decomposition with orthogonal factors L Cheng, YC Wu, HV Poor IEEE Transactions on Signal Processing 65 (3), 663-676, 2016 | 67 | 2016 |
| Tensor Decomposition-Based Channel Estimation for Hybrid mmWave Massive MIMO in High-Mobility Scenarios R Zhang, L Cheng*, S Wang, Y Lou, W Wu, DWK Ng IEEE Transactions on Communications, 2022 | 63 | 2022 |
| SSRCNN: A semi-supervised learning framework for signal recognition Y Dong, X Jiang, L Cheng, Q Shi IEEE Transactions on Cognitive Communications and Networking 7 (3), 780-789, 2021 | 57 | 2021 |
| Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior L Cheng, Z Chen, Q Shi, YC Wu, S Theodoridis IEEE Transactions on Signal Processing, https://arxiv.org/abs/2009.02472, 2022 | 39* | 2022 |
| Channel estimation for movable-antenna MIMO systems via tensor decomposition R Zhang, L Cheng, W Zhang, X Guan, Y Cai, W Wu, R Zhang IEEE Wireless Communications Letters, 2024 | 37 | 2024 |
| Learning nonnegative factors from tensor data: Probabilistic modeling and inference algorithm L Cheng, X Tong, S Wang, YC Wu, HV Poor IEEE Transactions on Signal Processing 68, 1792-1806, 2020 | 35 | 2020 |
| Adversarial learning with multi-modal attention for visual question answering Y Liu, X Zhang, F Huang, L Cheng, Z Li IEEE Transactions on Neural Networks and Learning Systems 32 (9), 3894-3908, 2020 | 33 | 2020 |
| ALSA: adversarial learning of supervised attentions for visual question answering Y Liu, X Zhang, Z Zhao, B Zhang, L Cheng, Z Li IEEE transactions on cybernetics 52 (6), 4520-4533, 2020 | 32 | 2020 |
| Reconfigurable intelligent surface-aided 6G massive access: Coupled tensor modeling and sparse Bayesian learning X Shao, L Cheng, X Chen, C Huang, DWK Ng IEEE Transactions on Wireless Communications 21 (12), 10145-10161, 2022 | 31 | 2022 |
| Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation P Liu, J Jiang, G Zhu, L Cheng, W Jiang, W Luo, Y Du, Z Wang Frontiers of Information Technology & Electronic Engineering 23 (8), 1247-1263, 2022 | 29 | 2022 |
| Fully distributed clock synchronization in wireless sensor networks under exponential delays B Luo, L Cheng, YC Wu Signal processing 125, 261-273, 2016 | 29 | 2016 |
| Scaling probabilistic tensor canonical polyadic decomposition to massive data L Cheng, YC Wu, HV Poor IEEE Transactions on Signal Processing 66 (21), 5534-5548, 2018 | 28 | 2018 |
| Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search C Zhang, X Yuan, Q Zhang, G Zhu, L Cheng*, N Zhang IEEE Internet of Things Journal, 2022 | 25 | 2022 |
| Towards overfitting avoidance: Tuning-free tensor-aided multi-user channel estimation for 3D massive MIMO communications L Cheng, Q Shi IEEE Journal of Selected Topics in Signal Processing 15 (3), 832-846, 2021 | 24 | 2021 |
| Irregular array manifold aided channel estimation in massive MIMO communications L Cheng, C Xing, YC Wu IEEE Journal of Selected Topics in Signal Processing 13 (5), 974-988, 2019 | 22 | 2019 |
| Tensor-based basis function learning for three-dimensional sound speed fields L Cheng, X Ji, H Zhao, J Li, W Xu The Journal of the Acoustical Society of America 151 (1), 269-285, 2022 | 19 | 2022 |
| Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation B Zhang, X Zhang, Y Liu, L Cheng, Z Li Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 19 | 2021 |
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