An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Haoxiang Lin
Principal Researcher
출판물
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-
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dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
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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
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-
-
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
-
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
-
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
-
-
-
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
-
-
-
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
-
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
MSR-TR-2021-3 | February 2021
글쓴이 Microsoft
-
-
-
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
-
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
-
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
-
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
MSR-TR-2020-20 | May 2020
글쓴이 Microsoft
-
-
-
Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion
Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang
MSR-TR-2019-36 | November 2019
글쓴이 Microsoft
-
-
-
GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
-
An Empirical Study on Quality Issues of Production Big Data Platform
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
ICSE 2015 | May 2015
The 37th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
-
-
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
글쓴이 Microsoft
-
Common Causes and Mitigations of Service Quality Issues in Big Data Computing
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
MSR-TR-2014-34 | March 2014
글쓴이 Microsoft
-
-
-
A Characteristic Study on Failures of Production Distributed Data-Parallel Programs
Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie
ICSE 2013 | May 2013
IEEE Software Best Software Engineering in Practice Paper Award
The 35th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
Model Checking in Distributed Systems (in Chinese)
Communications of the China Computer Federation | February 2013, 제 9 권(2): pp. 46-51
-
-
-
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y.Li, Wei Lin, Jingren Zhou, Lidong Zhou
NSDI 2012 | April 2012
The 9th USENIX Symposium on Networked Systems Design and Implementation
-
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y. Li, Wei Lin, Jingren Zhou, Lidong Zhou
MSR-TR-2012-28 | April 2012
글쓴이 Microsoft
-
-
-
G2: A Graph Processing System for Diagnosing Distributed Systems
Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou
USENIX ATC 2011 | June 2011
The 2011 USENIX Annual Technical Conference
-
-
-
Language-Based Replay via Data Flow Cut
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Lidong Zhou, Zheng Zhang, Huayang Guo
FSE-18 | November 2010
The 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering
-
-
-
MODIST: Transparent Model Checking of Unmodified Distributed Systems
Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou
NSDI 2009 | April 2009
The 6th Symposium on Networked Systems Design and Implementation
-
-
-
Hang Analysis: Fighting Responsiveness Bugs
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
EuroSys 2008 | April 2008
Best Student Paper Award
The 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
-
-
-
The Design and Implementation of Waycryptic, a Versatile Cryptographic File System for Linux (in Chinese)
Haoxiang Lin, Yuan Dong, Wei Zhang, Suqin Zhang, Changjun Hu
Journal of Chinese Computer Systems | January 2007, 제 28 권(1): pp. 122-126
-
-
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
-
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
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
-
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
-
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
-
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
-
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
-
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
-
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
MSR-TR-2021-3 | February 2021
글쓴이 Microsoft
-
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
-
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
-
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
-
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
MSR-TR-2020-20 | May 2020
글쓴이 Microsoft
-
Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion
Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang
MSR-TR-2019-36 | November 2019
글쓴이 Microsoft
-
-
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
-
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
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
-
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
-
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
-
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
-
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
-
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
MSR-TR-2021-3 | February 2021
글쓴이 Microsoft
-
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
-
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
-
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
-
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
MSR-TR-2020-20 | May 2020
글쓴이 Microsoft
-
Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion
Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang
MSR-TR-2019-36 | November 2019
글쓴이 Microsoft
-
An Empirical Study on Quality Issues of Production Big Data Platform
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
ICSE 2015 | May 2015
The 37th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
글쓴이 Microsoft
-
Common Causes and Mitigations of Service Quality Issues in Big Data Computing
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
MSR-TR-2014-34 | March 2014
글쓴이 Microsoft
-
A Characteristic Study on Failures of Production Distributed Data-Parallel Programs
Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie
ICSE 2013 | May 2013
IEEE Software Best Software Engineering in Practice Paper Award
The 35th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y.Li, Wei Lin, Jingren Zhou, Lidong Zhou
NSDI 2012 | April 2012
The 9th USENIX Symposium on Networked Systems Design and Implementation
-
Language-Based Replay via Data Flow Cut
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Lidong Zhou, Zheng Zhang, Huayang Guo
FSE-18 | November 2010
The 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering
-
Hang Analysis: Fighting Responsiveness Bugs
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
EuroSys 2008 | April 2008
Best Student Paper Award
The 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
-
-
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
-
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
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
-
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
-
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
-
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
-
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
-
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
-
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
MSR-TR-2021-3 | February 2021
글쓴이 Microsoft
-
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
-
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
-
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
-
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
MSR-TR-2020-20 | May 2020
글쓴이 Microsoft
-
Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion
Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang
MSR-TR-2019-36 | November 2019
글쓴이 Microsoft
-
GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
-
An Empirical Study on Quality Issues of Production Big Data Platform
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
ICSE 2015 | May 2015
The 37th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
글쓴이 Microsoft
-
Common Causes and Mitigations of Service Quality Issues in Big Data Computing
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
MSR-TR-2014-34 | March 2014
글쓴이 Microsoft
-
A Characteristic Study on Failures of Production Distributed Data-Parallel Programs
Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie
ICSE 2013 | May 2013
IEEE Software Best Software Engineering in Practice Paper Award
The 35th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
-
Model Checking in Distributed Systems (in Chinese)
Communications of the China Computer Federation | February 2013, 제 9 권(2): pp. 46-51
-
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y.Li, Wei Lin, Jingren Zhou, Lidong Zhou
NSDI 2012 | April 2012
The 9th USENIX Symposium on Networked Systems Design and Implementation
-
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y. Li, Wei Lin, Jingren Zhou, Lidong Zhou
MSR-TR-2012-28 | April 2012
글쓴이 Microsoft
-
G2: A Graph Processing System for Diagnosing Distributed Systems
Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou
USENIX ATC 2011 | June 2011
The 2011 USENIX Annual Technical Conference
-
Language-Based Replay via Data Flow Cut
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Lidong Zhou, Zheng Zhang, Huayang Guo
FSE-18 | November 2010
The 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering
-
MODIST: Transparent Model Checking of Unmodified Distributed Systems
Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou
NSDI 2009 | April 2009
The 6th Symposium on Networked Systems Design and Implementation
-
Hang Analysis: Fighting Responsiveness Bugs
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
EuroSys 2008 | April 2008
Best Student Paper Award
The 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
-
The Design and Implementation of Waycryptic, a Versatile Cryptographic File System for Linux (in Chinese)
Haoxiang Lin, Yuan Dong, Wei Zhang, Suqin Zhang, Changjun Hu
Journal of Chinese Computer Systems | January 2007, 제 28 권(1): pp. 122-126
-
-
-
Model Checking in Distributed Systems (in Chinese)
Communications of the China Computer Federation | February 2013, 제 9 권(2): pp. 46-51
-
MODIST: Transparent Model Checking of Unmodified Distributed Systems
Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou
NSDI 2009 | April 2009
The 6th Symposium on Networked Systems Design and Implementation
-
-
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
-
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
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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
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GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
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An Empirical Study on Quality Issues of Production Big Data Platform
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
ICSE 2015 | May 2015
The 37th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
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A Characteristic Study on Failures of Production Distributed Data-Parallel Programs
Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie
ICSE 2013 | May 2013
IEEE Software Best Software Engineering in Practice Paper Award
The 35th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
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Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y.Li, Wei Lin, Jingren Zhou, Lidong Zhou
NSDI 2012 | April 2012
The 9th USENIX Symposium on Networked Systems Design and Implementation
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G2: A Graph Processing System for Diagnosing Distributed Systems
Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou
USENIX ATC 2011 | June 2011
The 2011 USENIX Annual Technical Conference
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Language-Based Replay via Data Flow Cut
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Lidong Zhou, Zheng Zhang, Huayang Guo
FSE-18 | November 2010
The 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering
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MODIST: Transparent Model Checking of Unmodified Distributed Systems
Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou
NSDI 2009 | April 2009
The 6th Symposium on Networked Systems Design and Implementation
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Hang Analysis: Fighting Responsiveness Bugs
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
EuroSys 2008 | April 2008
Best Student Paper Award
The 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
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Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
MSR-TR-2021-3 | February 2021
글쓴이 Microsoft
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Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
MSR-TR-2020-20 | May 2020
글쓴이 Microsoft
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Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion
Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang
MSR-TR-2019-36 | November 2019
글쓴이 Microsoft
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Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
글쓴이 Microsoft
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Common Causes and Mitigations of Service Quality Issues in Big Data Computing
Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin
MSR-TR-2014-34 | March 2014
글쓴이 Microsoft
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Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y. Li, Wei Lin, Jingren Zhou, Lidong Zhou
MSR-TR-2012-28 | April 2012
글쓴이 Microsoft
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Model Checking in Distributed Systems (in Chinese)
Communications of the China Computer Federation | February 2013, 제 9 권(2): pp. 46-51
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The Design and Implementation of Waycryptic, a Versatile Cryptographic File System for Linux (in Chinese)
Haoxiang Lin, Yuan Dong, Wei Zhang, Suqin Zhang, Changjun Hu
Journal of Chinese Computer Systems | January 2007, 제 28 권(1): pp. 122-126
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