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Lu Fang
Lu Fang
Research Scientist, Facebook
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Title
Cited by
Cited by
Year
PyTorch: An Imperative Style, High-Performance Deep Learning Library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems, 8026-8037, 2019
504752019
Advances in Neural Information Processing Systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
15762019
Onnx: Open neural network exchange
J Bai, L Fang, K Zhang
GitHub repository, https://github.com/onnx/onnx/, 2017
4542017
Pytorch: An imperative style, high-performance deep learning library, 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703 10, 1912
2511912
Yak: A {High-Performance}{Big-Data-Friendly} Garbage Collector
K Nguyen, L Fang, G Xu, B Demsky, S Lu, S Alamian, O Mutlu
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016
1462016
Facade: A compiler and runtime for (almost) object-bounded big data applications
K Nguyen, K Wang, Y Bu, L Fang, J Hu, G Xu
ACM SIGARCH Computer Architecture News 43 (1), 675-690, 2015
1252015
Interruptible tasks: Treating memory pressure as interrupts for highly scalable data-parallel programs
L Fang, K Nguyen, G Xu, B Demsky, S Lu
Proceedings of the 25th Symposium on Operating Systems Principles, 394-409, 2015
702015
Pytorch: An imperative style, high-performance deep learning library. arXiv 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
65*2019
Skyway: Connecting managed heaps in distributed big data systems
K Nguyen, L Fang, C Navasca, G Xu, B Demsky, S Lu
ACM SIGPLAN Notices 53 (2), 56-69, 2018
602018
Advances in Neural Information Processing Systems 32 ed H
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Wallach et al 8024, 2019
572019
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ...
55*2019
APIExample: An effective web search based usage example recommendation system for Java APIs
L Wang, L Fang, L Wang, G Li, B Xie, F Yang
2011 26th IEEE/ACM International Conference on Automated Software …, 2011
512011
Towards automatic tagging for web services
L Fang, L Wang, M Li, J Zhao, Y Zou, L Shao
2012 IEEE 19th International Conference on Web Services, 528-535, 2012
452012
Perfblower: Quickly detecting memory-related performance problems via amplification
L Fang, L Dou, G Xu
29th European Conference on Object-Oriented Programming (ECOOP 2015), 2015
312015
Speculative region-based memory management for big data systems
K Nguyen, L Fang, G Xu, B Demsky
Proceedings of the 8th workshop on programming languages and operating …, 2015
142015
Low-overhead and fully automated statistical debugging with abstraction refinement
Z Zuo, L Fang, SC Khoo, G Xu, S Lu
Proceedings of the 2016 ACM SIGPLAN International Conference on Object …, 2016
112016
An exploratory study of API usage examples on the web
L Wang, Y Zou, L Fang, B Xie, F Yang
2012 19th Asia-Pacific Software Engineering Conference 1, 396-405, 2012
102012
Understanding and combating memory bloat in managed data-intensive systems
K Nguyen, K Wang, Y Bu, L Fang, G Xu
ACM Transactions on Software Engineering and Methodology (TOSEM) 26 (4), 1-41, 2018
92018
Toward More Efficient Statistical Debugging with Abstraction Refinement
Z Zuo, X Niu, S Zhang, L Fang, SC Khoo, S Lu, C Sun, GH Xu
ACM Transactions on Software Engineering and Methodology 32 (2), 1-38, 2023
12023
Detecting and Fixing Memory-Related Performance Problems in Managed Languages
L Fang
University of California, Irvine, 2017
2017
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Articles 1–20