Luo Mai
Title
Cited by
Cited by
Year
TensorLayer: A Versatile Library for Efficient Deep Learning Development
H Dong, A Supratak, L Mai, F Liu, A Oehmichen, S Yu, Y Guo
ACM Multimedia, 1201-1204, 2017
772017
NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres
L Mai, L Rupprecht, A Alim, P Costa, M Migliavacca, P Pietzuch, AL Wolf
10th ACM Conference on emerging Networking EXperiments and Technologies …, 2014
582014
Emu: Rapid Prototyping of Networking Services
N Sultana, S Galea, D Greaves, M Wojcik, J Shipton, R Clegg, L Mai, ...
USENIX ATC, 2017
332017
Optimizing Network Performance in Distributed Machine Learning
L Mai, C Hong, P Costa
7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'15), 2015
312015
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems
L Mai, K Zeng, R Potharaju, L Xu, S Suh, S Venkataraman, P Costa, T Kim, ...
VLDB, 2018
232018
Load Balanced Rendezvous Data Collection in Wireless Sensor Networks
L Mai, L Shangguan, C Lang, J Du, H Liu, Z Li
8th IEEE Conference on Mobile Adhoc and Sensor Systems (MASS'11), 282-291, 2011
232011
CrossBow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
A Koliousis, P Watcharapichat, M Weidlich, L Mai, P Costa, P Pietzuch
VLDB, 2019
152019
Rendezvous Data Collection Using a Mobile Element in Heterogeneous Sensor Networks
J Du, H Liu, L Shangguan, L Mai, K Wang, S Li
International Journal of Distributed Sensor Networks 2012, 2012
142012
Exploiting Time-malleability in Cloud-based Batch Processing Systems
L Mai, E Kalyvianaki, P Costa
7th Workshop on Large-Scale Distributed Systems and Middleware (LADIS'13), 2013
132013
FLICK: Developing and Running Application-specific Network Services
A Alim, RG Clegg, L Mai, L Rupprecht, E Seckler, P Costa, P Pietzuch, ...
USENIX ATC, 1-14, 2016
122016
Energy-efficient Heterogeneous Data Collection in Mobile Wireless Sensor Networks
L Shangguan, L Mai, J Du, W He, H Liu
Proceedings of the PMECT of IEEE ICCCN, 2011
92011
Supporting Application-specific In-network Processing in Data Centres
L Mai, L Rupprecht, P Costa, M Migliavacca, P Pietzuch, AL Wolf
ACM SIGCOMM Computer Communication Review 43 (4), 519-520, 2013
72013
Towards a Network Marketplace in a Cloud
D Yu, L Mai, S Arianfar, R Fonseca, O Krieger, D Oran
8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16), 2016
62016
Taming Hyper-parameters in Deep Learning Systems
L Mai, A Koliousis, G Li, AO Brabete, P Pietzuch
ACM SIGOPS Operating Systems Review 53 (1), 52-58, 2019
32019
Extending programs with debug-related features, with application to hardware development
N Sultana, S Galea, D Greaves, M Wójcik, N Zilberman, R Clegg, L Mai, ...
arXiv preprint arXiv:1705.09902, 2017
32017
Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources
M Wagenländer, L Mai, G Li, P Pietzuch
USENIX HotCloud, 2020
22020
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
L Xu, S Venkataraman, I Gupta, L Mai, R Potharaju
USENIX NSDI, 2021
2021
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library
Z Ding, T Yu, Y Huang, H Zhang, L Mai, H Dong
arXiv preprint arXiv:2009.08644, 2020
2020
KungFu: Making Training in Distributed Machine Learning Adaptive
L Mai, G Li, M Wagenländer, K Fertakis, AO Brabete, P Pietzuch
USENIX OSDI, 937-954, 2020
2020
Towards Efficient Big Data Processing in Data Centres
L Mai
Imperial College London PhD Thesis, 2018
2018
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Articles 1–20