Tieying Zhang

Orcid: 0009-0003-2250-5528

According to our database1, Tieying Zhang authored at least 52 papers between 2006 and 2026.

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Bibliography

2026
Query Performance Explanation through Large Language Model for HTAP Systems.
Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

2025
Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling.
CoRR, August, 2025

DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs.
CoRR, August, 2025

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.
CoRR, July, 2025

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models.
Proc. ACM Manag. Data, June, 2025

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning.
Proc. VLDB Endow., April, 2025

Data-Agnostic Cardinality Learning from Imperfect Workloads.
Proc. VLDB Endow., April, 2025

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era.
CoRR, March, 2025

LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model.
CoRR, March, 2025

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale.
CoRR, March, 2025

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
CoRR, February, 2025

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TickIt: Leveraging Large Language Models for Automated Ticket Escalation.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Adaptive and Efficient Log Parsing as a Cloud Service.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Learning to Communicate Through Implicit Communication Channels.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
Proc. VLDB Endow., December, 2024

ResLake: Towards Minimum Job Latency and Balanced Resource Utilization in Geo-distributed Job Scheduling.
Proc. VLDB Endow., August, 2024

Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance.
Proc. VLDB Endow., August, 2024

Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting.
CoRR, 2024

Learning to Construct Implicit Communication Channel.
CoRR, 2024

Intelligent Transaction Scheduling via Conflict Prediction in OLTP DBMS.
CoRR, 2024

E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model.
CoRR, 2024

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting.
CoRR, 2024

Resource Allocation with Service Affinity in Large-Scale Cloud Environments.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines.
Proc. VLDB Endow., 2020

FPGA-Accelerated Compactions for LSM-based Key-Value Store.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

2019
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases.
Proc. VLDB Endow., 2019

Scheduling OLTP transactions via learned abort prediction.
Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Performance of OLTP via Intelligent Scheduling.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Self-Driving Database Management Systems.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2015
Towards an immunity based distributed algorithm to detect harmful files shared in P2P networks.
Peer-to-Peer Netw. Appl., 2015

2014
PACOM: Parasitic anonymous communication in the BitTorrent network.
Comput. Networks, 2014

2012
Providing hierarchical lookup service for P2P-VoD systems.
ACM Trans. Multim. Comput. Commun. Appl., 2012

Maximizing the bandwidth multiplier effect for hybrid cloud-P2P content distribution.
Proceedings of the 20th IEEE International Workshop on Quality of Service, 2012

Towards Parallel Spatial Query Processing for Big Spatial Data.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A distributed geospatial data storage and processing framework for large-scale WebGIS.
Proceedings of the 20th International Conference on Geoinformatics, 2012

2011
Stability-Optimal Grouping Strategy of Peer-to-Peer Systems.
IEEE Trans. Parallel Distributed Syst., 2011

RELookup: Providing Resilient and Efficient Lookup Service for P2P-VoD Streaming.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

iDetect: An immunity based algorithm to detect harmful content shared in Peer-to-Peer networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings.
Proceedings of 20th International Conference on Computer Communications and Networks, 2011

2010
Multi-task Downloading for P2P-VoD: An Empirical Perspective.
Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010

2009
Mediacoop: Hierarchical Lookup for P2P-VoD Services.
Proceedings of the ICPP 2009, 2009

2007
LiveBT: Providing Video-on-Demand Streaming Service over BitTorrent Systems.
Proceedings of the Eighth International Conference on Parallel and Distributed Computing, 2007

2006
A Novel Method for the Short Message or Multimedia Message Synchronization.
Proceedings of the Second International Conference on Wireless and Mobile Communications (ICWMC'06), 2006


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