Yanjie Gao

Orcid: 0000-0003-1899-8561

According to our database1, Yanjie Gao authored at least 17 papers between 2014 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
Revealing Floating-Point Accumulation Orders in Software/Hardware Implementations.
Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

An Empirical Study of Issues in Large Language Model Training Systems.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

dl²: Detecting Communication Deadlocks in Deep Learning Jobs.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024
FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing.
CoRR, 2024

An Empirical Study on Low GPU Utilization of Deep Learning Jobs.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
An Empirical Study on Quality Issues of Deep Learning Platform.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
REFTY: Refinement Types for Valid Deep Learning Models.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Resource-Guided Configuration Space Reduction for Deep Learning Models.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Estimating GPU memory consumption of deep learning models.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020


Supervised Edge Attention Network for Accurate Image Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019

2016
TR-Spark: Transient Computing for Big Data Analytics.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2014
A Study of SQL-on-Hadoop Systems.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014


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