Xiao He

According to our database, Xiao He authored at least 26 papers between 2017 and 2026.

Collaborative distances:

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

2026

Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement.

Fengrui Liu, Xiao He, Tieying Zhang

CoRR, April, 2026

KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning.

Haotian Si, Changhua Pei, Xiao He, Zeyan Li, Zhe Xie, Zexin Wang, Jiyao Hu, Zhaoyang Yu, Tieying Zhang, Dan Pei, Jianhui Li, Gaogang Xie

CoRR, February, 2026

Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience.

Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases - No Data, No Query, No Retraining.

Xianghong Xu, Rong Kang, Xiao He, Lei Zhang, Jianjun Chen, Tieying Zhang

CoRR, October, 2025

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling.

Jiadong Chen, Xiao He, Hengyu Ye, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao

CoRR, August, 2025

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.

Hengyu Ye, Jiadong Chen, Xiao He, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao

Proc. VLDB Endow., July, 2025

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models.

Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen

Proc. ACM Manag. Data, June, 2025

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning.

Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei

Proc. VLDB Endow., April, 2025

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.

Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen

CoRR, February, 2025

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.

Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TickIt: Leveraging Large Language Models for Automated Ticket Escalation.

Fengrui Liu, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Lihua Yi, Haipeng Zhang, Gang Wu, Rui Shi

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models'.

Qihao Cheng, Feng Yu, Xianghong Xu, Xiao He, Tieying Zhang

Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

Automated Proactive Logging Quality Improvement for Large-Scale Codebases.

Yichen Li, Jinyang Liu, Junsong Pu, Zhihan Jiang, Zhuangbin Chen, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.

Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.

Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Wang Shuai, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen

Proc. VLDB Endow., December, 2024

2023

Learning-based query optimization for multi-probe approximate nearest neighbor search.

Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang

VLDB J., May, 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.

Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2023

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.

Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Proc. VLDB Endow., 2023

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution.

Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices.

Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.

Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

Kernel conditional clustering and kernel conditional semi-supervised learning.

Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt

Knowl. Inf. Syst., 2020

2018

Multi-target drug repositioning by bipartite block-wise sparse multi-task learning.

Limin Li, Xiao He, Karsten M. Borgwardt

BMC Syst. Biol., 2018

Kernelized rank learning for personalized drug recommendation.

Xiao He, Lukas Folkman, Karsten M. Borgwardt

Bioinform., 2018

2017

Multi-view Spectral Clustering on Conflicting Views.

Xiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Kernel Conditional Clustering.

Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017