Chengxi Li

23 papers C 1Misc 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biased Compression in Gradient Coding for Distributed Learning.
IEEE Trans. Signal Process.
Chengxi Li, Ming Xiao, Mikael Skoglund
2025 J jnl
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation.
IEEE Trans. Commun.
Chengxi Li, Ming Xiao, Mikael Skoglund
2025 J jnl
Communication-Efficient Semi-Decentralized Federated Learning in the Presence of Stragglers.
IEEE Trans. Commun.
Chengxi Li, Ming Xiao, Mikael Skoglund
2025 — conf
Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge.
ICCVW
Ziqin Huang, Chengxi Li, Yingyue Li, Xingyu Liu, Chenyangguang Zhang, Ruida Zhang, Bowen Fu, Xinggang Hu, Yun Qu, Mengge Liu, Yixiu Mao, Wendong Huang, Gu Wang, Xiangyang Ji
2025 J jnl
Sign-Based Distributed Learning With Byzantine Resilience Based on Audit Mechanism.
IEEE Trans. Inf. Forensics Secur.
Chengxi Li, Ming Xiao, Mikael Skoglund
2024 J jnl
COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks.
Inf. Fusion
Chengxi Li, Gang Li, Zhuoyue Wang, Xueqian Wang, Pramod K. Varshney
2024 J jnl
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024.
CoRR
Xingyu Liu, Yingyue Li, Chengxi Li, Gu Wang, Chenyangguang Zhang, Ziqin Huang, Xiangyang Ji
2024 J jnl
Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation.
IEEE Trans. Geosci. Remote. Sens.
Zhuoyue Wang, Xueqian Wang, Gang Li, Chengxi Li
2024 J jnl
Street Gaussians without 3D Object Tracker.
CoRR
Ruida Zhang, Chengxi Li, Chenyangguang Zhang, Xingyu Liu, Haili Yuan, Yanyan Li, Xiangyang Ji, Gim Hee Lee
2023 J jnl
A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Chengxi Li, Gang Li, Xueqian Wang, Pramod K. Varshney
2023 C conf
HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval.
IGARSS
Zhuoyue Wang, Xueqian Wang, Gang Li, Chengxi Li
2022 J jnl
Decentralized Federated Learning via Mutual Knowledge Transfer.
IEEE Internet Things J.
Chengxi Li, Gang Li, Pramod K. Varshney
2022 J jnl
Distributed detection of sparse signals with censoring sensors in clustered sensor networks.
Inf. Fusion
Chengxi Li, Gang Li, Pramod K. Varshney
2022 J jnl
Federated Learning With Soft Clustering.
IEEE Internet Things J.
Chengxi Li, Gang Li, Pramod K. Varshney
2022 J jnl
Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity.
IEEE Internet Things J.
Chengxi Li, Gang Li, Pramod K. Varshney
2021 J jnl
Communication-Efficient Federated Learning Based on Compressed Sensing.
IEEE Internet Things J.
Chengxi Li, Gang Li, Pramod K. Varshney
2020 J jnl
Decentralized Federated Learning via Mutual Knowledge Transfer.
CoRR
Chengxi Li, Gang Li, Pramod K. Varshney
2020 J jnl
Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test.
IEEE Signal Process. Lett.
Chengxi Li, Gang Li, Pramod K. Varshney
2020 J jnl
Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy.
IEEE Trans. Signal Process.
Chengxi Li, Gang Li, Pramod K. Varshney
2020 Misc conf
Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks.
ICASSP
Chengxi Li, Gang Li, Pramod K. Varshney
2020 J jnl
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks.
IEEE Trans. Signal Process.
Chengxi Li, Gang Li, Pramod K. Varshney
2019 J jnl
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios.
IEEE Signal Process. Lett.
Chengxi Li, You He, Xueqian Wang, Gang Li, Pramod K. Varshney
2019 J jnl
Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements.
IEEE Trans. Signal Process.
Chengxi Li, Gang Li, Bhavya Kailkhura, Pramod K. Varshney