AI Tooling and MLOps

Publications

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An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI
GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI
Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI
Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI
Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Github

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI

An Empirical Study on Program Failures of Deep Learning Jobs

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

ICSE 2020 | July 2020

ACM SIGSOFT Distinguished Paper Award

The 42nd International Conference on Software Engineering

Author's Version DOI

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI

Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Github

An Empirical Study on Program Failures of Deep Learning Jobs

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

ICSE 2020 | July 2020

ACM SIGSOFT Distinguished Paper Award

The 42nd International Conference on Software Engineering

Author's Version DOI
An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI

Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Github

An Empirical Study on Program Failures of Deep Learning Jobs

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

ICSE 2020 | July 2020

ACM SIGSOFT Distinguished Paper Award

The 42nd International Conference on Software Engineering

Author's Version DOI
An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI

Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Github

An Empirical Study on Program Failures of Deep Learning Jobs

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

ICSE 2020 | July 2020

ACM SIGSOFT Distinguished Paper Award

The 42nd International Conference on Software Engineering

Author's Version DOI

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI

Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Github

An Empirical Study on Program Failures of Deep Learning Jobs

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

ICSE 2020 | July 2020

ACM SIGSOFT Distinguished Paper Award

The 42nd International Conference on Software Engineering

Author's Version DOI