Luo Mai

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Citations	659	559
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i10-index	16	12

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Peter PietzuchProfessor of Distributed Systems, Imperial College LondonVerified email at imperial.ac.uk
Paolo CostaSenior Principal Researcher, Microsoft ResearchVerified email at microsoft.com
Hao DongPeking UniversityVerified email at pku.edu.cn
Alexander L WolfDean of Engineering, University of California, Santa CruzVerified email at member.acm.org
Lukas RupprechtResearch Staff Member, IBM Research AlmadenVerified email at ibm.com
Jon CrowcroftUniversity of CambridgeVerified email at cl.cam.ac.uk
Andrew W. MooreUniversity of CambridgeVerified email at cl.cam.ac.uk
Nik SultanaAssistant professor, Illinois TechVerified email at iit.edu
Longfei ShangguanAssistant Professor, CS, University of PittsburghVerified email at pitt.edu
Alexandros KoliousisNortheastern University LondonVerified email at akoliousis.com
Rahul PotharajuEngineering Leader @ DatabricksVerified email at databricks.com
Shivaram VenkataramanUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Kai ZengChief Architect, HuaweiVerified email at huawei.com
Marcel WagenländerPhD student, Imperial College LondonVerified email at imperial.ac.uk
Noa ZilbermanUniversity of OxfordVerified email at eng.ox.ac.uk
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Jie RenETH Zurich; University of EdinburghVerified email at inf.ethz.ch
Robert SouléAssociate Professor of Computer Science, Yale UniversityVerified email at yale.edu
Yaodong YangAssistant Professor@Peking UniversityVerified email at pku.edu.cn
Man-Kit SitThe University of EdinburghVerified email at ed.ac.uk

Luo Mai

University of Edinburgh

Verified email at ed.ac.uk - Homepage

Computer Systems Machine Learning Data Management


Title Sort by citations Sort by year Sort by 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 (Best Open Source Software Award), 2017	116	2017
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 ACM CoNEXT, 2014	81	2014
Optimizing Network Performance in Distributed Machine Learning L Mai, C Hong, P Costa USENIX HotCloud, 2015	64	2015
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	62	2019
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	59	2018
Emu: Rapid Prototyping of Networking Services N Sultana, S Galea, D Greaves, M Wojcik, J Shipton, R Clegg, L Mai, ... USENIX ATC, 2017	45	2017
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	44	2020
Load Balanced Rendezvous Data Collection in Wireless Sensor Networks L Mai, L Shangguan, C Lang, J Du, H Liu, Z Li IEEE MASS, 282-291, 2011	26	2011
Taming Hyper-parameters in Deep Learning Systems L Mai, A Koliousis, G Li, AO Brabete, P Pietzuch SIGOPS Operating Systems Review (Invited Paper), 2019	19	2019
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	18	2021
Rendezvous Data Collection Using a Mobile Element in Heterogeneous Sensor Networks J Du, H Liu, L Shangguan, L Mai, K Wang, S Li IJDSN, 2012	17	2012
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	16	2016
Exploiting Time-malleability in Cloud-based Batch Processing Systems L Mai, E Kalyvianaki, P Costa ACM LADIS (Co-located with SOSP), 2013	15	2013
Fast and Flexible Human Pose Estimation with HyperPose Y Guo, J Liu, G Li, L Mai, H Dong ACM Multimedia, 2021	12	2021
Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources M Wagenländer, L Mai, G Li, P Pietzuch USENIX HotCloud, 2020	12	2020
Energy-efficient Heterogeneous Data Collection in Mobile Wireless Sensor Networks L Shangguan, L Mai, J Du, W He, H Liu IEEE ICCCN, 2011	10	2011
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update C Sima, Y Fu, MK Sit, L Guo, X Gong, F Lin, J Wu, Y Li, H Rong, PL Aublin, ... USENIX OSDI, 2022	8	2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning B Liu, X Feng, J Ren, L Mai, R Zhu, H Zhang, J Wang, Y Yang NeurIPS, 2022	7*	2022
Efficient Reinforcement Learning Development with RLzoo Z Ding, T Yu, Y Huang, H Zhang, G Li, Q Guo, L Mai, H Dong ACM Multimedia, 2021	7*	2021
Towards a Network Marketplace in a Cloud D Yu, L Mai, S Arianfar, R Fonseca, O Krieger, D Oran USENIX HotCloud, 2016	7	2016

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