Xiaorong Shi

According to our database, Xiaorong Shi authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL.

Yifu Liu, Yin Zhu, Yingqi Gao, Zhiling Luo, Xiaoxia Li, Xiaorong Shi, Yuntao Hong, Jinyang Gao, Yu Li, Bolin Ding, Jingren Zhou

CoRR, July, 2025

Evaluation Report on MCP Servers.

Zhiling Luo, Xiaorong Shi, Xuanrui Lin, Jinyang Gao

CoRR, April, 2025

2024

FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices.

Liping Yi, Xiaorong Shi, Nan Wang, Jinsong Zhang, Gang Wang, Xiaoguang Liu

IEEE Trans. Mob. Comput., November, 2024

Improving RGB-infrared object detection with cascade alignment-guided transformer.

Maoxun Yuan, Xiaorong Shi, Nan Wang, Yinyan Wang, Xingxing Wei

Inf. Fusion, May, 2024

pFedKT: Personalized federated learning with dual knowledge transfer.

Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Knowl. Based Syst., 2024

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity.

Pengfei Jing, Mengyun Tang, Xiaorong Shi, Xing Zheng, Sen Nie, Shi Wu, Yong Yang, Xiapu Luo

CoRR, 2024

XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL.

Yingqi Gao, Yifu Liu, Xiaoxia Li, Xiaorong Shi, Yin Zhu, Yiming Wang, Shiqi Li, Wei Li, Yuntao Hong, Zhiling Luo, Jinyang Gao, Liyu Mou, Yu Li

CoRR, 2024

2023

FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks.

Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

FFEDCL: Fair Federated Learning with Contrastive Learning.

Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

pFedLHNs: Personalized Federated Learning via Local Hypernetworks.

Liping Yi, Xiaorong Shi, Nan Wang, Ziyue Xu, Gang Wang, Xiaoguang Liu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023