Kernel Conditional Clustering. - Xiao He 008; Thomas Gumbsch; Damian Roqueiro; Karsten M. Borgwardt (ICDM, 2017)

Multi-view Spectral Clustering on Conflicting Views. - Xiao He 008; Limin Li; Damian Roqueiro; Karsten M. Borgwardt (ECML/PKDD (2), 2017)

Kernelized rank learning for personalized drug recommendation. - Xiao He 008; Lukas Folkman; Karsten M. Borgwardt (Bioinform., 2018)

Multi-target drug repositioning by bipartite block-wise sparse multi-task learning. - Limin Li; Xiao He 008; Karsten M. Borgwardt (BMC Syst. Biol., 2018)

Kernel conditional clustering and kernel conditional semi-supervised learning. - Xiao He 008; Thomas Gumbsch; Damian Roqueiro; Karsten M. Borgwardt (Knowl. Inf. Syst., 2020)

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. - Jingyi Yang; Peizhi Wu; Gao Cong; Tieying Zhang; Xiao He 008 (SIGMOD Conference, 2022)

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. - Ye Li; Jian Tan 001; Bin Wu 003; Xiao He 008; Feifei Li 001 (ASPLOS (4), 2023)

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution. - Xiao He 008; Jian Tan 001; Bin Wu 003; Feifei Li 001; Xinping Zhang; Gaozhong Liang; Jinfeng Xu 001 (ICDE, 2023)

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting. - Xiao He 008; Ye Li; Jian Tan 001; Bin Wu 003; Feifei Li 001 (Proc. VLDB Endow., 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; et al. (Proc. VLDB Endow., 2023)

Learning-based query optimization for multi-probe approximate nearest neighbor search. - Pengcheng Zhang; Bin Yao 002; Chao Gao; Bin Wu 003; Xiao He 008; Feifei Li 001; Yuanfei Lu; Chaoqun Zhan; Feilong Tang (VLDB J., 2023)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Wang Shuai; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (Proc. VLDB Endow., 2024)

TickIt: Leveraging Large Language Models for Automated Ticket Escalation. - Fengrui Liu; Xiao He 008; Tieying Zhang; Jianjun Chen 001; Yi Li; Lihua Yi; Haipeng Zhang; Gang Wu; Rui Shi (SIGSOFT FSE Companion, 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 008; Rong Kang; Tieying Zhang; Jianjun Chen 001; Jianhui Li; Gaogang Xie; Dan Pei (WWW (Companion Volume), 2025)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Shuai Wang; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (CoRR, 2025)

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning. - Zhe Xie; Zeyan Li; Xiao He 008; Longlong Xu; Xidao Wen; Tieying Zhang; Jianjun Chen 001; Rui Shi; Dan Pei (Proc. VLDB Endow., 2025)

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models. - Xianghong Xu 001; Xiao He 008; Tieying Zhang; Lei Zhang; Rui Shi; Jianjun Chen 001 (Proc. ACM Manag. Data, 2025)

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services. - Jiadong Chen; Hengyu Ye; Fuxin Jiang; Xiao He 008; Tieying Zhang; Jianjun Chen 001; Xiaofeng Gao 001 (CoRR, 2025)

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling. - Jiadong Chen; Xiao He 008; Hengyu Ye; Fuxin Jiang; Tieying Zhang; Jianjun Chen 001; Xiaofeng Gao 001 (CoRR, 2025)