| Decentralized federated learning via mutual knowledge transfer C Li, G Li, PK Varshney IEEE Internet of Things Journal 9 (2), 1136-1147, 2021 | 87 | 2021 |
| Communication-efficient federated learning based on compressed sensing C Li, G Li, PK Varshney IEEE Internet of Things Journal 8 (20), 15531-15541, 2021 | 54 | 2021 |
| Federated learning with soft clustering C Li, G Li, PK Varshney IEEE Internet of Things Journal 9 (10), 7773-7782, 2021 | 52 | 2021 |
| Distributed detection of sparse stochastic signals with 1-bit data in tree-structured sensor networks C Li, G Li, PK Varshney IEEE Transactions on Signal Processing 68, 2963-2976, 2020 | 25 | 2020 |
| Distributed detection of sparse stochastic signals via fusion of 1-bit local likelihood ratios C Li, Y He, X Wang, G Li, PK Varshney IEEE Signal Processing Letters 26 (12), 1738-1742, 2019 | 22 | 2019 |
| Distributed detection of sparse signals with censoring sensors in clustered sensor networks C Li, G Li, PK Varshney Information Fusion 83, 1-18, 2022 | 8 | 2022 |
| Secure Distributed Detection of Sparse Signals via Falsif i cation of Local Compressive Measurements C Li, G Li, B Kailkhura, PK Varshney IEEE Transactions on Signal Processing 67 (18), 4696-4706, 2019 | 8 | 2019 |
| Distributed detection of sparse signals with censoring sensors via locally most powerful test C Li, G Li, PK Varshney IEEE Signal Processing Letters 27, 346-350, 2020 | 7 | 2020 |
| Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy C Li, G Li, PK Varshney IEEE Transactions on Signal Processing 68, 6040-6054, 2020 | 5 | 2020 |
| Robust federated opportunistic learning in the presence of label quality disparity C Li, G Li, PK Varshney IEEE Internet of Things Journal 9 (13), 10978-10987, 2021 | 3 | 2021 |
| Distributed detection of sparse signals with 1-bit data in two-level two-degree tree-structured sensor networks C Li, G Li, PK Varshney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
| Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers C Li, M Skoglund IEEE Transactions on Communications, 2024 | 1 | 2024 |
| COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks C Li, G Li, Z Wang, X Wang, PK Varshney Information Fusion 106, 102240, 2024 | | 2024 |
| Cooperative Communication Based Gradient Coding for Wireless Federated Learning S Weng, C Li, M Xiao, M Skoglund arXiv preprint arXiv:2404.00780, 2024 | | 2024 |
| Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation C Li, M Xiao, M Skoglund arXiv preprint arXiv:2403.14905, 2024 | | 2024 |
| Gradient Coding in Decentralized Learning for Evading Stragglers C Li, M Skoglund https://arxiv.org/abs/2402.04193, 2024 | | 2024 |
| Millimetre‐wave radar‐based spirometry for the preliminary diagnosis of chronic obstructive pulmonary disease W Wang, Y Wan, C Li, Z Chen, W Zhang, L Zhao, J Zhao, X Mu, G Li IET Radar, Sonar & Navigation 17 (12), 1874-1885, 2023 | | 2023 |
| HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval Z Wang, X Wang, G Li, C Li IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| A Copula-Based Method for Change Detection with Multi-sensor Optical Remote Sensing Images C Li, G Li, X Wang, PK Varshney IEEE Transactions on Geoscience and Remote Sensing, 2023 | | 2023 |
Gang LiProfessor, Department of Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
