Xiao He

32 papers A* 4A 1Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning.
CoRR
Haotian Si, Changhua Pei, Xiao He, Zeyan Li, Zhe Xie, Zexin Wang, Jiyao Hu, Zhaoyang Yu, Tieying Zhang, Dan Pei, Jianhui Li, Gaogang Xie
2026 A conf
Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience.
EuroSys
Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li
2025 J jnl
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
CoRR
Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
2025 A* conf
Automated Proactive Logging Quality Improvement for Large-Scale Codebases.
ASE
Yichen Li, Jinyang Liu, Junsong Pu, Zhihan Jiang, Zhuangbin Chen, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning.
Proc. VLDB Endow.
Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei
2025 — conf
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.
WWW (Companion Volume)
Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei
2025 J jnl
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.
CoRR
Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei
2025 J jnl
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.
CoRR
Jiadong Chen, Hengyu Ye, Fuxin Jiang, Xiao He, Tieying Zhang, Jianjun Chen, Xiaofeng Gao
2025 J jnl
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.
Proc. VLDB Endow.
Hengyu Ye, Jiadong Chen, Xiao He, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao
2025 A* conf
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.
ASE
Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems.
CoRR
Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu
2025 J jnl
Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling.
CoRR
Jiadong Chen, Xiao He, Hengyu Ye, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao
2025 J jnl
PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models.
CoRR
Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen
2025 J jnl
PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models.
Proc. ACM Manag. Data
Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen
2025 — conf
Reproducibility Report for ACM SIGMOD 2025 Paper: 'PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models'.
SIGMOD ARI Reports
Qihao Cheng, Feng Yu, Xianghong Xu, Xiao He, Tieying Zhang
2025 — conf
TickIt: Leveraging Large Language Models for Automated Ticket Escalation.
SIGSOFT FSE Companion
Fengrui Liu, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Lihua Yi, Haipeng Zhang, Gang Wu, Rui Shi
2025 J jnl
TickIt: Leveraging Large Language Models for Automated Ticket Escalation.
CoRR
Fengrui Liu, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Lihua Yi, Haipeng Zhang, Gang Wu, Rui Shi
2025 J jnl
ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases - No Data, No Query, No Retraining.
CoRR
Xianghong Xu, Rong Kang, Xiao He, Lei Zhang, Jianjun Chen, Tieying Zhang
2024 J jnl
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
Proc. VLDB Endow.
Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Wang Shuai, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
2024 J jnl
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning.
CoRR
Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei
2023 A* conf
Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution.
ICDE
Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu
2023 J jnl
Learning-based query optimization for multi-probe approximate nearest neighbor search.
VLDB J.
Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang
2023 J jnl
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.
Proc. VLDB Endow.
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
2023 J jnl
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.
CoRR
Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li
2023 J jnl
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.
Proc. VLDB Endow.
Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li
2023 — conf
ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices.
ASPLOS (4)
Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li
2022 — conf
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.
SIGMOD Conference
Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
2020 J jnl
Kernel conditional clustering and kernel conditional semi-supervised learning.
Knowl. Inf. Syst.
Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt
2018 J jnl
Kernelized rank learning for personalized drug recommendation.
Bioinform.
Xiao He, Lukas Folkman, Karsten M. Borgwardt
2018 J jnl
Multi-target drug repositioning by bipartite block-wise sparse multi-task learning.
BMC Syst. Biol.
Limin Li, Xiao He, Karsten M. Borgwardt
2017 A* conf
Kernel Conditional Clustering.
ICDM
Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt
2017 — conf
Multi-view Spectral Clustering on Conflicting Views.
ECML/PKDD (2)
Xiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt