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2020 – today
- 2024
[c17]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:
An Empirical Study on Low GPU Utilization of Deep Learning Jobs. ICSE 2024: 96:1-96:13- 2023
- [c16]Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun:
GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. CLUSTER 2023: 318-329 - [c15]Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. ICSE-SEIP 2023: 368-380 - [c14]Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang:
An Empirical Study on Quality Issues of Deep Learning Platform. ICSE-SEIP 2023: 455-466 - 2022
- [c13]Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. ICSE 2022: 1843-1855 - 2021
- [c12]Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Resource-Guided Configuration Space Reduction for Deep Learning Models. ICSE 2021: 175-187 - [i3]Haoxiang Lin, Shuqian Ye, Xi Zhu:
Tensor Network for Supervised Learning at Finite Temperature. CoRR abs/2104.05439 (2021) - 2020
- [c11]Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang:
An empirical study on program failures of deep learning jobs. ICSE 2020: 1159-1170 - [c10]Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang:
Enhancing the interoperability between deep learning frameworks by model conversion. ESEC/SIGSOFT FSE 2020: 1320-1330 - [c9]Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang:
Estimating GPU memory consumption of deep learning models. ESEC/SIGSOFT FSE 2020: 1342-1352
2010 – 2019
- 2015
- [c8]Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou:
GraM: scaling graph computation to the trillions. SoCC 2015: 408-421 - [c7]Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin:
An Empirical Study on Quality Issues of Production Big Data Platform. ICSE (2) 2015: 17-26 - [i2]Haoxiang Lin:
Well Extend Partial Well Orderings. CoRR abs/1503.06514 (2015) - 2014
- [i1]Haoxiang Lin:
A Constructive Proof On the Compositionality of Linearizability. CoRR abs/1412.8324 (2014) - 2013
- [c6]Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie:
A characteristic study on failures of production distributed data-parallel programs. ICSE 2013: 963-972 - 2012
- [c5]Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Li, Wei Lin, Jingren Zhou, Lidong Zhou:
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. NSDI 2012: 295-308 - 2011
- [c4]Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou:
G2: A Graph Processing System for Diagnosing Distributed Systems. USENIX ATC 2011 - 2010
- [c3]Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang:
Language-based replay via data flow cut. SIGSOFT FSE 2010: 197-206
2000 – 2009
- 2009
- [c2]Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou:
MODIST: Transparent Model Checking of Unmodified Distributed Systems. NSDI 2009: 213-228 - 2008
- [c1]Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang:
Hang analysis: fighting responsiveness bugs. EuroSys 2008: 177-190
Coauthor Index
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