2025年6月毕业于西南交通大学计算机与人工智能学院，获计算机科学与技术工学博士学位，研究兴趣包括多模态/多视图学习、联邦学习、故障诊断。已在IEEE/ACM TASLP、IEEE TCSVT、EAAI、Computer Networks、IEEE/ACM TASLP、Knowledge based Systems、Bioinformatics等权威期刊或会议发表论文10余篇。主研国家自然科学基金项目、国铁集团重点研发计划、四川省科技厅项目等3项，已授权发明专利2项。担任EAAI、IEEE TKDD、IEEE TASLP、RESS、PAKDD等期刊及会议审稿人。

多模态/多视图学习、联邦学习、故障诊断

科研论文

[1]Xiaorong Liu, et al. A Cost-Provable Solution for Reliable In-Network Computing-enabled Services Deployment.Computer Networks, 2024, 257: 110997.
[2]Xiaorong Liu, et al. Multi-view rotating machinery fault diagnosis with adaptive co-attention fusion network. Engineering Applications of Artificial Intelligence, 2023, 122: 106138.
[3]Xiaorong Liu, et al. Data augmentation using Heuristic Masked Language Modeling. International Journal of Machine Learning and Cybernetics, 2023, 14(8): 2591-2605.
[4]Xiaorong Liu, et al. A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross Attention Mechanisms, Electronics, 2024: 111848.
[5]Xiaorong Liu, et al. Energy-Efficient In-Network Computing at Mobile Edge Networks, 9th International Conference on Computer and Communications (ICCC), 2023: 837-841.
[6]Xiaorong Liu, et al. Cost Optimization for In-Network Computing Services Deployment in Edge-Cloud[C], 7th World Conference on Computing and Communication Technologies (WCCCT), 2023, 267-272.