Luo Mai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
11
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers. | Yeqi Huang, Yue Chen, Yanwei Ye, Guanhao Su, Luo Mai |
| 2026 | HPCA | BitDecoding: Unlocking Tensor Cores for Long-Context LLMs with Low-Bit KV Cache. | Dayou Du, Shijie Cao, Jianyi Cheng, Luo Mai, Ting Cao, Mao Yang |
| 2025 | OSDI | WaferLLM: Large Language Model Inference at Wafer Scale. | Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai |
| 2024 | ICML | Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding. | Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina |
| 2024 | OSDI | ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. | Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai |
| 2024 | SOSP | Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections. | Marcel Wagenlnder, Guo Li, Bo Zhao, Luo Mai, Peter R. Pietzuch |
| 2023 | ICML | 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 |
| 2022 | ECCV | MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment. | Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu |
| 2022 | OSDI | 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 |
| 2021 | NSDI | Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. | Le Xu, Shivaram Venkataraman, Indranil Gupta, Luo Mai, Rahul Potharaju |
| 2020 | OSDI | KungFu: Making Training in Distributed Machine Learning Adaptive. | Luo Mai, Guo Li, Marcel Wagenlnder, Konstantinos Fertakis, Andrei-Octavian Brabete, Peter R. Pietzuch |
| 2017 | USENIX | Emu: Rapid Prototyping of Networking Services. | Nik Sultana, Salvator Galea, David Greaves, Marcin Wjcik, Jonny Shipton, Richard G. Clegg, Luo Mai, Pietro Bressana, Robert Soul, Richard Mortier, Paolo Costa, Peter R. Pietzuch, Jon Crowcroft, Andrew W. Moore, Noa Zilberman |
| 2016 | USENIX | 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 |
| 2014 | CoNEXT | 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 |
| 2013 | SIGCOMM | Supporting application-specific in-network processing in data centres. | Luo Mai, Lukas Rupprecht, Paolo Costa, Matteo Migliavacca, Peter R. Pietzuch, Alexander L. Wolf |
| 2011 | MASS | Load Balanced Rendezvous Data Collection in Wireless Sensor Networks. | Luo Mai, Longfei Shangguan, Chao Lang, Junzhao Du, Hui Liu, Zhenjiang Li, Mo Li |