Luo Mai

According to our database, Luo Mai authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving.

Leyang Xue, Yao Fu, Zhan Lu, Luo Mai, Mahesh K. Marina

CoRR, 2024

ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models.

Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai

CoRR, 2024

2023

Large sequence models for sequential decision-making: a survey.

Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang

Frontiers Comput. Sci., December, 2023

TENPLEX: Changing Resources of Deep Learning Jobs using Parallelizable Tensor Collections.

Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, Peter R. Pietzuch

CoRR, 2023

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.

Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai

CoRR, 2023

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models.

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

Proceedings of the International Conference on Machine Learning, 2023

2022

TorchOpt: An Efficient Library for Differentiable Optimization.

Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

CoRR, 2022

Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update.

Chijun Sima, Yao Fu, Man-Kit Sit, Liyi Guo, Xuri Gong, Feng Lin, Junyu Wu, Yongsheng Li, Haidong Rong, Pierre-Louis Aublin, Luo Mai

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning.

Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment.

Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment.

Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu

CoRR, 2021

Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo.

Le Xu, Shivaram Venkataraman, Indranil Gupta, Luo Mai, Rahul Potharaju

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Fast and Flexible Human Pose Estimation with HyperPose.

Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Efficient Reinforcement Learning Development with RLzoo.

Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library.

Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong

CoRR, 2020

KungFu: Making Training in Distributed Machine Learning Adaptive.

Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, Peter R. Pietzuch

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources.

Marcel Wagenländer, Luo Mai, Guo Li, Peter R. Pietzuch

Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

2019

Taming Hyper-parameters in Deep Learning Systems.

Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, Peter R. Pietzuch

ACM SIGOPS Oper. Syst. Rev., 2019

Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers.

Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch

Proc. VLDB Endow., 2019

2018

Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems.

Luo Mai, Kai Zeng, Rahul Potharaju, Le Xu, Steve Suh, Shivaram Venkataraman, Paolo Costa, Terry Kim, Saravanam Muthukrishnan, Vamsi Kuppa, Sudheer Dhulipalla, Sriram Rao

Proc. VLDB Endow., 2018

2017

Towards efficient big data processing in data centres.

Luo Mai

PhD thesis, 2017

Extending programs with debug-related features, with application to hardware development.

Nik Sultana, Salvator Galea, David Greaves, Marcin Wójcik, Noa Zilberman, Richard G. Clegg, Luo Mai, Richard Mortier, Peter R. Pietzuch, Jon Crowcroft, Andrew W. Moore

CoRR, 2017

Emu: Rapid Prototyping of Networking Services.

Nik Sultana, Salvator Galea, David Greaves, Marcin Wójcik, Jonny Shipton, Richard G. Clegg, Luo Mai, Pietro Bressana, Robert Soulé, Richard Mortier, Paolo Costa, Peter R. Pietzuch, Jon Crowcroft, Andrew W. Moore, Noa Zilberman

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

FLICK: Developing and Running Application-Specific Network Services.

Abdul Alim, Richard G. Clegg, Luo Mai, Lukas Rupprecht, Eric Seckler, Paolo Costa, Peter R. Pietzuch, Alexander L. Wolf, Nik Sultana, Jon Crowcroft, Anil Madhavapeddy, Andrew W. Moore, Richard Mortier, Masoud Koleini, Luis Oviedo, Matteo Migliavacca, Derek McAuley

Proceedings of the 2016 USENIX Annual Technical Conference, 2016

Towards a Network Marketplace in a Cloud.

Da Yu, Luo Mai, Somaya Arianfar, Rodrigo Fonseca, Orran Krieger, David Oran

Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

2015

Optimizing Network Performance in Distributed Machine Learning.

Luo Mai, Chuntao Hong, Paolo Costa

Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

2014

NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres.

Luo Mai, Lukas Rupprecht, Abdul Alim, Paolo Costa, Matteo Migliavacca, Peter R. Pietzuch, Alexander L. Wolf

Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies, 2014

2013

Supporting application-specific in-network processing in data centres.

Luo Mai, Lukas Rupprecht, Paolo Costa, Matteo Migliavacca, Peter R. Pietzuch, Alexander L. Wolf

Proceedings of the ACM SIGCOMM 2013 Conference, 2013

2012

Rendezvous Data Collection Using a Mobile Element in Heterogeneous Sensor Networks.

Junzhao Du, Hui Liu, Longfei Shangguan, Luo Mai, Kai Wang, Shucong Li

Int. J. Distributed Sens. Networks, 2012

2011

Load Balanced Rendezvous Data Collection in Wireless Sensor Networks.

Luo Mai, Longfei Shangguan, Chao Lang, Junzhao Du, Hui Liu, Zhenjiang Li, Mo Li

Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011