Liangxi Liu

According to our database, Liangxi Liu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System.

Xiang Liu, Zhanpeng Guo, Liangxi Liu, Mengyao Zheng, Yiming Qiu, Linshan Jiang

CoRR, June, 2025

High Performance Computing Framework for Secure Variable Selection on Genome-Wide Association Studies with Adaptive Vertical Federated Learning.

Mengyao Zheng, Xiang Liu, Junyong Cao, Xueling Liu, Huiying Lan, Liangxi Liu, Xia Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

PFL-MD: A Privacy-Preserving Federated Learning Framework for Melanoma Diagnosis with Multiple Party Fully Homomorphic Encryption.

Liangxi Liu, Yifan Wang, Jihe Li, Mengyao Zheng, Zegui Jiang, Yijun Song, Xiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Ofl-Md: Exploring One-Shot Federated Learning for Melanoma Diagnosis With Pre-Trained Diffusion Model Clip.

Zegui Jiang, Liangxi Liu, Zelan Li, Yongyi Xie, Yifan Wang, Biao Hou, Jianning Chi, Xiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

A Bayesian Federated Learning Framework With Online Laplace Approximation.

Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods.

Yiming Zhou, Zixuan Zeng, Andi Chen, Xiaofan Zhou, Haowei Ni, Shiyao Zhang, Panfeng Li, Liangxi Liu, Mengyao Zheng, Xupeng Chen

CoRR, 2024

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

CoRR, 2023

2021

A Bayesian Federated Learning Framework with Multivariate Gaussian Product.

Liangxi Liu, Feng Zheng

CoRR, 2021

2020

Design of an Iteration-Reduced LDPC-CC Decoder Based on Compact Decoding Architecture.

Liangxi Liu, Ming Zhan, Mingjuan Qiu, Meng Wang, Xiaohong Luo, Jing Guo

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Weighting Factors Optimization for NB-LDPC Codes Based on Extended Min-Sum Algorithm.

Mingjuan Qiu, Ming Zhan, Liangxi Liu, Yi Deng, Xiaohong Luo

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Brain Storm Optimized Swarm Collaboration for Bus Scheduling.

Liangxi Liu, Siqing Ma, Jun Steed Huang

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019