E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
VLDB, 2025
Xinmei Huang, Haoyang Li, Jing Zhang*, Xinxin Zhao, Zhiming Yao, Yiyan Li, Tieying Zhang*, Jianjun Chen, Hong Chen, Cuiping Li
Publications (selected)
You can find my articles on my Google Scholar profile.
Star (*) indicates that the work was conducted by my interns, or that I am the corresponding author.
Adaptive and Efficient Log Parsing as a Cloud Service
SIGMOD, 2025
Zeyan Li, Jie Song, Tieying Zhang*, Tao Yang, Yingjie Ye, Pengfei Duan, Jianjun Chen
ABase: The Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments
SIGMOD, 2025
Rong Kang, Yanbin Chen, Ye Liu, Fuxin Jiang, Qingshuo Li, Miao Ma, Jian Liu, Guangling Zhao, Tieying Zhang, Jianjun Chen, Lei Zhang
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators
VLDB, 2025
Xianghong Xu, Tieying Zhang*, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
SIGMOD, 2025
Xianghong Xu, Xiao He, Tieying Zhang*, Rui Shi, Lei Zhang, Jianjun Chen
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis
WWW, 2025
Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang*, Jianjun Chen, Jianhui Li*, Gaogang Xie, Dan Pei
Learning to Communicate Through Implicit Communication Channels
ICLR, 2025
Han Wang, Binbin chen, Tieying Zhang, Baoxiang Wang
TickIt: Leveraging Large Language Models for Automated Ticket Escalation
FSE, 2025
Fengrui Liu, Xiao He, Tieying Zhang*, Jianjun Chen, Yi Li, Lihua Yi, Haipeng Zhang, Gang Wu, Rui Shi
Towards VM Rescheduling Optimization Through Deep Reinforcement Learning
EuroSys, 2025
Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang*, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du
Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance
VLDB, 2024
Yixin Wu, Xiuqi Huang, Zhongjia Wei, Hang Cheng, Chaohui Xin, Zuzhi Chen, Binbin Chen, Yufei Wu, Hao Wang, Tieying Zhang, Rui Shi, Xiaofeng Gao, Yuming Liang, Pengwei Zhao, Guihai Chen
ResLake: Towards Minimum Job Latency and Balanced Resource Utilization in Geo-distributed Job Scheduling
VLDB, 2024
Xinchun Zhang, Aqsa Kashaf, Yihan Zou, Wei Zhang, Weibo Liao, Haoxiang Song, Jintao Ye, Yakun Li, Rui Shi, Yong Tian, Wei Feng, Binbin Chen, Zuzhi Chen, Tieying Zhang, Yongping Tang
Resource Allocation with Service Affinity in Large-Scale Cloud Environments
ICDE, 2024
Zuzhi Chen, Fuxin Jiang, Binbin Chen, Yu Li, Yunkai Zhang, Chao Huang, Rui Yang, Fan Jiang, Jianjun Chen, Wu Xiang, Guozhu Cheng, Rui Shi, Ning Ma, Wei Zhang, Tieying Zhang*
IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems
SIGKDD, 2023
Jiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, and Xiaofeng Gao
SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning
ICDE, 2023
Luming Sun, Shijin Gong, Tieying Zhang*, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang
SAM: Database Generation from Query Workload with Supervised Autoregressive Model
SIGMOD, 2022
Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases
SIGMOD, 2021
Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang*, Bin Cui