Zeyan Li

Orcid: 0000-0001-7516-1384

According to our database1, Zeyan Li authored at least 34 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning.
CoRR, February, 2026

2025
Information Physics of Intelligence: Unifying Logical Depth and Entropy under Thermodynamic Constraints.
CoRR, November, 2025

Does Scaling Law Apply in Time Series Forecasting?
CoRR, May, 2025

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

Behavior-Enhanced Representation Learning for User Behavior Analysis.
IEEE Trans. Inf. Forensics Secur., 2025

Unveiling Blockchain Transactions Insights: Behavioral Anomaly Detection via Relational Mechanisms.
IEEE Internet Things J., 2025

Multi-scale embedding with guided attention for medical image analysis.
Eng. Appl. Artif. Intell., 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

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

Modal Symbiosis: Variational Alignment Unveils New Horizons in Multimodal Representation Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Structure Trumps Size: Rethinking Data Quality for LLM Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Diagnosing Performance Issues for Large-Scale Microservice Systems With Heterogeneous Graph.
IEEE Trans. Serv. Comput., 2024

A survey on intelligent management of alerts and incidents in IT services.
J. Netw. Comput. Appl., 2024

SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023
Generic and robust root cause localization for multi-dimensional data in online service systems.
J. Syst. Softw., September, 2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.
Proceedings of the ACM Web Conference 2023, 2023

2022
Constructing Large-Scale Real-World Benchmark Datasets for AIOps.
CoRR, 2022

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems.
CoRR, 2022

GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection.
CoRR, 2022

Actionable and interpretable fault localization for recurring failures in online service systems.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
An empirical investigation of practical log anomaly detection for online service systems.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Practical Root Cause Localization for Microservice Systems via Trace Analysis.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Cerebral Perfusion of Multiple-Network Poroelastic Model by Integrating Fractional Anisotropy.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020
Integrated Control-Fluidic Codesign Methodology for Paper-Based Digital Microfluidic Biochips.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
On the Validation of a Multiple-Network Poroelastic Model Using Arterial Spin Labeling MRI Data.
Frontiers Comput. Neurosci., 2019

Generic and Robust Localization of Multi-dimensional Root Causes.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

2016
Control-fluidic CoDesign for paper-based digital microfluidic biochips.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016


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