Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios. - Chengxi Li 001; You He; Xueqian Wang 002; Gang Li 008; Pramod K. Varshney (IEEE Signal Process. Lett., 2019)

Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements. - Chengxi Li 001; Gang Li 008; Bhavya Kailkhura; Pramod K. Varshney (IEEE Trans. Signal Process., 2019)

Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (ICASSP, 2020)

Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Signal Process. Lett., 2020)

Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Trans. Signal Process., 2020)

Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Trans. Signal Process., 2020)

Communication-Efficient Federated Learning Based on Compressed Sensing. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Internet Things J., 2021)

Distributed detection of sparse signals with censoring sensors in clustered sensor networks. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (Inf. Fusion, 2022)

Decentralized Federated Learning via Mutual Knowledge Transfer. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Internet Things J., 2022)

Federated Learning With Soft Clustering. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Internet Things J., 2022)

Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity. - Chengxi Li 001; Gang Li 008; Pramod K. Varshney (IEEE Internet Things J., 2022)

HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval. - Zhuoyue Wang; Xueqian Wang 002; Gang Li 008; Chengxi Li 001 (IGARSS, 2023)

A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images. - Chengxi Li 001; Gang Li 008; Xueqian Wang 002; Pramod K. Varshney (IEEE Trans. Geosci. Remote. Sens., 2023)

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024. - Xingyu Liu; Yingyue Li; Chengxi Li 001; Gu Wang 001; Chenyangguang Zhang; Ziqin Huang; Xiangyang Ji (CoRR, 2024)

Street Gaussians without 3D Object Tracker. - Ruida Zhang; Chengxi Li 001; Chenyangguang Zhang; Xingyu Liu; Haili Yuan; Yanyan Li; Xiangyang Ji; Gim Hee Lee (CoRR, 2024)

COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks. - Chengxi Li 001; Gang Li 008; Zhuoyue Wang; Xueqian Wang 002; Pramod K. Varshney (Inf. Fusion, 2024)

Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation. - Zhuoyue Wang; Xueqian Wang 002; Gang Li 008; Chengxi Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Sign-Based Distributed Learning With Byzantine Resilience Based on Audit Mechanism. - Chengxi Li 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Inf. Forensics Secur., 2025)