Brain Storm Optimized Swarm Collaboration for Bus Scheduling. - Liangxi Liu; Siqing Ma; Jun Steed Huang (VTC Fall, 2019)

Weighting Factors Optimization for NB-LDPC Codes Based on Extended Min-Sum Algorithm. - Mingjuan Qiu; Ming Zhan; Liangxi Liu; Yi Deng; Xiaohong Luo (HPCC/DSS/SmartCity, 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 (IECON, 2020)

A Bayesian Federated Learning Framework with Multivariate Gaussian Product. - Liangxi Liu; Feng Zheng (CoRR, 2021)

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (CoRR, 2023)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (NeurIPS, 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)

A Bayesian Federated Learning Framework With Online Laplace Approximation. - Liangxi Liu; Xi Jiang 009; Feng Zheng; Hong Chen 004; Guo-Jun Qi; Heng Huang; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System. - Xiang Liu 017; Zhanpeng Guo; Liangxi Liu; Mengyao Zheng; Yiming Qiu; Linshan Jiang (CoRR, 2025)