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2020 – today
- 2024
[j1]Liangxi Liu
, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024)- [i3]Yiming Zhou, Zixuan Zeng, Andi Chen, Xiaofan Zhou, Haowei Ni, Shiyao Zhang, Panfeng Li, Liangxi Liu, Mengyao Zheng, Xupeng Chen:
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods. CoRR abs/2408.04268 (2024) - 2023
- [i2]Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li:
FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. CoRR abs/2310.00339 (2023) - 2021
- [i1]Liangxi Liu, Feng Zheng:
A Bayesian Federated Learning Framework with Multivariate Gaussian Product. CoRR abs/2102.01936 (2021) - 2020
- [c3]Mingjuan Qiu, Ming Zhan, Liangxi Liu, Yi Deng, Xiaohong Luo:
Weighting Factors Optimization for NB-LDPC Codes Based on Extended Min-Sum Algorithm. HPCC/DSS/SmartCity 2020: 836-840 - [c2]Liangxi Liu, Ming Zhan, Mingjuan Qiu, Meng Wang, Xiaohong Luo, Jing Guo:
Design of an Iteration-Reduced LDPC-CC Decoder Based on Compact Decoding Architecture. IECON 2020: 4357-4361
2010 – 2019
- 2019
- [c1]Liangxi Liu, Siqing Ma, Jun Steed Huang:
Brain Storm Optimized Swarm Collaboration for Bus Scheduling. VTC Fall 2019: 1-5
Coauthor Index
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