Jinyang Liu

Orcid: 0000-0003-0177-502X

According to our database1, Jinyang Liu authored at least 69 papers between 1999 and 2024.

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Bibliography

2024
Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data.
Inf. Fusion, May, 2024

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
CoRR, 2024

Go Static: Contextualized Logging Statement Generation.
CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.
CoRR, 2024

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.
IEEE Trans. Parallel Distributed Syst., December, 2023

Toward Efficient Remote Sensing Image Change Detection via Cross-Temporal Context Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

SGFusion: A saliency guided deep-learning framework for pixel-level image fusion.
Inf. Fusion, 2023

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2023

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
CoRR, 2023

LLMParser: A LLM-based Log Parsing Framework.
CoRR, 2023

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023

A Large-scale Benchmark for Log Parsing.
CoRR, 2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
CoRR, 2023

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection.
CoRR, 2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.
CoRR, 2023

EvLog: Evolving Log Analyzer for Anomalous Logs Identification.
CoRR, 2023

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.
CoRR, 2023

Geometry of Score Based Generative Models.
CoRR, 2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

EvLog: Identifying Anomalous Logs over Software Evolution.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.
Proceedings of the 37th International Conference on Supercomputing, 2023

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
Proceedings of the 37th International Conference on Supercomputing, 2023

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

Energy-efficient Resource Allocation for the 6G Computing Network Based on Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

A Multi-Dimensional Resource Cooperative Allocation Scheme Based on Wireless Digital Twin Network.
Proceedings of the IEEE Globecom Workshops 2023, 2023

An Efficient and Accurate Compression Ratio Estimation Model for SZx.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

PiP-MColl: Process-in-Process-based Multi-object MPI Collectives.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

KF K-means: A High Performance K-means Implementation using Kernel Fusion.
Proceedings of the IEEE International Conference on Big Data, 2023

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.
Bioinform., November, 2022

Students' Course Results Prediction Based on Data Processing and Machine Learning Methods.
J. Signal Process. Syst., 2022

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev., 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.
CoRR, 2022

BARS: Towards Open Benchmarking for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022


2021
Data-Supported Caching Policy Optimization for Wireless D2D Caching Networks.
IEEE Trans. Commun., 2021

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection.
CoRR, 2021

A hierarchical RNN-based model for learning recommendation with session intent detection.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Graph-based Incident Aggregation for Large-Scale Online Service Systems.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

FT-BLAS: a high performance BLAS implementation with online fault tolerance.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Open Benchmarking for Click-Through Rate Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction.
CoRR, 2020

Normalization of Input-output Shared Embeddings in Text Generation Models.
CoRR, 2020

Ensembled CTR Prediction via Knowledge Distillation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Deep Learning Based Code Completion Models for Programming Codes.
Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019

Tools and benchmarks for automated log parsing.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

Autoencoder based API Recommendation System for Android Programming.
Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018
Analysis of the Evolution of the UML Metamodel.
Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development, 2018

An Approach to Modeling Microservice Solutions.
Proceedings of the Information Science and Applications 2018, 2018

2015
Web Archiving Inconsistency: A Research Agenda.
Bull. IEEE Tech. Comm. Digit. Libr., 2015

2014
Virtual Power Meter Supported Power Consumption Prediction of Web Services.
Proceedings of the International Conference on Identification, 2014

An efficient and accurate optimization method of sliding window size for PAA.
Proceedings of the IEEE Computers, 2014

2013
Archiving the relaxed consistency web.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Poor Man's Social Network: Consistently Trade Freshness for Scalability.
Proceedings of the 3rd USENIX Conference on Web Application Development, 2012

2011
Improving scalability by self-archiving.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

2006
Optimal Regulator Design for Single Input and Single Output Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Adaptive optimal PI controller for high-precision low-temperature experiments.
Proceedings of the American Control Conference, 2005

1999
Applying UML to Gas Turbine Engine Simulation.
Proceedings of the TOOLS 1999: 31st International Conference on Technology of Object-Oriented Languages and Systems, 1999


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