Journal Papers
- C. Li and M. Skoglund, “Decentralized Learning Based on Gradient Coding With Compressed Communication,” IEEE Transactions on Signal Processing, vol. 72, pp. 4713-4729, 2024.
- C. Li and M. Skoglund, “Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers,” IEEE Transactions on Communications, vol. 72, no. 8, pp. 4903-4916, 2024.
- C. Li, G. Li, Z. Wang, et al., “COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images based on Copula Mixtures and Cycle-Consistent Adversarial Networks,” Information Fusion, vol. 106, 2024.
- Z. Wang, X. Wang, G. Li and C. Li, “Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, 2024.
- C. Li, G. Li, X. Wang and P. K. Varshney, “A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023.
- W. Wang, Y. Wan, C. Li, et al., “Millimetre-Wave Radar-Based Spirometry for the Preliminary Diagnosis of Chronic Obstructive Pulmonary Disease,” IET Radar, Sonar & Navigation, pp. 1–12, 2023.
- C. Li, G. Li and P. K. Varshney, “Distributed Detection of Sparse Signals with Censoring Sensors in Clustered Sensor Networks,” Information Fusion, vol. 83–84, pp. 1-18, Jul. 2022.
- C. Li, G. Li and P. K. Varshney, “Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity,” IEEE Internet of Things Journal, vol. 9, no. 13, pp. 10978-10987, Jul. 2022.
- C. Li, G. Li and P. K. Varshney, “Federated Learning With Soft Clustering,” IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7773-7782, May 2022.
- C. Li, G. Li and P. K. Varshney, “Decentralized Federated Learning via Mutual Knowledge Transfer,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1136-1147, Jan. 2022.
- C. Li, G. Li and P. K. Varshney, “Communication-Efficient Federated Learning Based on Compressed Sensing,” IEEE Internet of Things Journal, vol. 8, no. 20, pp. 15531-15541, Oct. 2021.
- C. Li, G. Li and P. K. Varshney, “Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy,” IEEE Transactions on Signal Processing, vol. 68, pp. 6040-6054, 2020.
- C. Li, G. Li and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks,” IEEE Transactions on Signal Processing, vol. 68, pp. 2963-2976, 2020.
- C. Li, G. Li and P. K. Varshney, “Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test,” IEEE Signal Processing Letters, vol. 27, pp. 346-350, 2020.
- C. Li, Y. He, X. Wang, G. Li and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1738-1742, Dec. 2019.
- C. Li, G. Li, B. Kailkhura and P. K. Varshney, “Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements,” IEEE Transactions on Signal Processing, vol. 67, no. 18, pp. 4696-4706, Sept. 2019.
Conference Proceedings
- C. Li, M. Xiao and M. Skoglund, “Gradient Coding in Decentralized Learning for Evading Stragglers,” IEEE Information Theory Workshop, Shenzhen, China, 2024.
- C. Li and M. Skoglund, “Gradient Coding in Decentralized Learning for Evading Stragglers,” 32nd European Signal Processing Conference, EUSIPCO, Lyon, France, 2024.
- S. Weng, C. Li, M. Xiao and M. Skoglund, “Cooperative Communication Based Gradient Coding for Wireless Federated Learning,” IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa, 2024.
- Z. Wang, X. Wang, G. Li and C. Li, “HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval,” IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023.
- C. Li, G. Li and P. K. Varshney, “Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.
