Xiaolei Hua

According to our database, Xiaolei Hua authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Predicting Parameter Change's Effect on Cellular Network Time Series.

Mingjie Li, Yongqian Sun, Xiaolei Hua, Renkai Yu, Xinwen Fan, Lin Zhu, Junlan Feng, Dan Pei

CoRR, 2024

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.

Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei

Proceedings of the ACM on Web Conference 2024, 2024

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models.

Shenglin Zhang, Pengtian Zhu, Minghua Ma, Jiagang Wang, Yongqian Sun, Dongwen Li, Jingyu Wang, Qianying Guo, Xiaolei Hua, Lin Zhu, Dan Pei

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

CDVD: Causal Dynamic Variational Deconfounder for Estimating Parameter Adjusting Effect.

Yuemeng Zhang, Qi Li, Xiaolei Hua, Renkai Yu, Zhenyu Zhang, Xinwen Fan, Lin Zhu, Tianmu Sha, Yong Zhang

Proceedings of the IEEE International Conference on Communications Workshops, 2024

World Model Aided Parameter Adjustment Decision and Evaluation System for Radio Access Network.

Tianmu Sha, Yuemeng Zhang, Qi Li, Zhenyu Zhang, Lin Zhu, Xiaolei Hua, Renkai Yu, Xinwen Fan, Zhe Lei, Junlan Feng, Yong Zhang

Proceedings of the IEEE International Conference on Communications, 2024

2023

DCDN: Estimating Handover Parameter Adjusting Effect with Causal Inference.

Yuemeng Zhang, Qi Li, Xiaolei Hua, Renkai Yu, Zhenyu Zhang, Xinwen Fan, Lin Zhu, Tianmu Sha, Yong Zhang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

CSDnet:Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks.

Xiaolei Hua, Qi Li, Zhao Zhang, Xinwen Fan, Lin Zhu, Renkai Yu, Yongqing Zhou, Yuemeng Zhang, Junlan Feng, Chao Deng, Xiangyang Yuan

Proceedings of the IEEE International Conference on Communications, 2023

2022

GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection.

Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Dong Zhou, Shuo Wang, Chao Deng

CoRR, 2022