Haoxiang Lin

According to our database, Haoxiang Lin authored at least 19 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

An Empirical Study on Quality Issues of Deep Learning Platform.

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

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.

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

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.

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

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

REFTY: Refinement Types for Valid Deep Learning Models.

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

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Tensor Network for Supervised Learning at Finite Temperature.

Haoxiang Lin, Shuqian Ye, Xi Zhu

CoRR, 2021

Resource-Guided Configuration Space Reduction for Deep Learning Models.

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Enhancing the interoperability between deep learning frameworks by model conversion.

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Estimating GPU memory consumption of deep learning models.

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

An empirical study on program failures of deep learning jobs.

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

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2015

Well Extend Partial Well Orderings.

Haoxiang Lin

CoRR, 2015

An Empirical Study on Quality Issues of Production Big Data Platform.

Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

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

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014

A Constructive Proof On the Compositionality of Linearizability.

Haoxiang Lin

CoRR, 2014

2013

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

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

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 Li, Wei Lin, Jingren Zhou, Lidong Zhou

Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012

2011

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

Proceedings of the 2011 USENIX Annual Technical Conference, 2011

2010

Language-based replay via data flow cut.

Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang

Proceedings of the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2010

2009

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

Proceedings of the 6th USENIX Symposium on Networked Systems Design and Implementation, 2009

2008

Hang analysis: fighting responsiveness bugs.

Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang

Proceedings of the 2008 EuroSys Conference, Glasgow, Scotland, UK, April 1-4, 2008, 2008