MODIST: Transparent model checking of unmodified distributed systems J Yang, T Chen, M Wu, Z Xu, X Liu, H Lin, M Yang, F Long, L Zhang, ... NSDI'09, 213-228, 2009 | 319 | 2009 |
GraM: scaling graph computation to the trillions M Wu, F Yang, J Xue, W Xiao, Y Miao, L Wei, H Lin, Y Dai, L Zhou Proceedings of the Sixth ACM Symposium on Cloud Computing, 408-421, 2015 | 162 | 2015 |
Estimating gpu memory consumption of deep learning models Y Gao, Y Liu, H Zhang, Z Li, Y Zhu, H Lin, M Yang Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 116 | 2020 |
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions J Zhang, H Zhou, R Chen, X Fan, Z Guo, H Lin, JY Li, W Lin, J Zhou, ... 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012 | 107 | 2012 |
An empirical study on program failures of deep learning jobs R Zhang, W Xiao, H Zhang, Y Liu, H Lin, M Yang Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 91* | 2020 |
An empirical study on quality issues of production big data platform H Zhou, JG Lou, H Zhang, H Lin, H Lin, T Qin 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015 | 60 | 2015 |
A characteristic study on failures of production distributed data-parallel programs S Li, H Zhou, H Lin, T Xiao, H Lin, W Lin, T Xie 2013 35th International Conference on Software Engineering (ICSE), 963-972, 2013 | 50 | 2013 |
Data-parallel computation management J Zhang, H Zhou, Z Guo, H Lin, L Zhou US Patent 9,383,982, 2016 | 46 | 2016 |
G2: A graph processing system for diagnosing distributed systems Z Guo, D Zhou, H Lin, M Yang, F Long, C Deng, C Liu, L Zhou 2011 USENIX Annual Technical Conference (USENIX ATC 11), 2011 | 43 | 2011 |
Enhancing the interoperability between deep learning frameworks by model conversion Y Liu, C Chen, R Zhang, T Qin, X Ji, H Lin, M Yang Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 39 | 2020 |
Hang analysis: fighting responsiveness bugs X Wang, Z Guo, X Liu, Z Xu, H Lin, X Wang, Z Zhang ACM SIGOPS Operating Systems Review 42 (4), 177-190, 2008 | 36 | 2008 |
Runtime performance prediction for deep learning models with graph neural network Y Gao, X Gu, H Zhang, H Lin, M Yang 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 34 | 2023 |
Analysis and detection of soft hang responsiveness program errors H Lin, XI Wang, Z Guo, X Liu, Z Zhang US Patent 8,166,464, 2012 | 32 | 2012 |
Language-based replay via data flow cut M Wu, F Long, X Wang, Z Xu, H Lin, X Liu, Z Guo, H Guo, L Zhou, Z Zhang Proceedings of the eighteenth ACM SIGSOFT international symposium on …, 2010 | 23 | 2010 |
Automatic Program Partition For Targeted Replay M Wu, F Long, Z Xu, X Liu, H Lin, Z Guo, Z Zhang, L Zhou US Patent App. 12/951,253, 2012 | 19 | 2012 |
Resource-Guided Configuration Space Reduction for Deep Learning Models Y Gao, Y Zhu, H Zhang, H Lin, M Yang 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 12 | 2021 |
An Empirical Study on Quality Issues of Deep Learning Platform Y Gao, X Shi, H Lin, H Zhang, H Wu, R Li, M Yang 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 4 | 2023 |
Refty: Refinement Types for Valid Deep Learning Models Y Gao, Z Li, H Lin, H Zhang, M Wu, M Yang 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE …, 2022 | 4 | 2022 |
基于 Linux 的通用加密文件系统 Waycryptic 的设计与实现 林昊翔, 董渊, 张为, 张素琴, 胡长军 小型微型计算机系统 28 (1), 122-126, 2007 | 3 | 2007 |
Visual Programming for Deep Learning H Lin, Y Mao, S Liu, C Chen US Patent App. 17/615,080, 2022 | 2 | 2022 |