Youshan Miao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
10
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like. | Yibo Han, Tangzhi Xu, Zenan Li, Yijia Zhang, Youshan Miao, Yuan Yao, Ningyi Xu |
| 2025 | NSDI | AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training. | Guanbin Xu, Zhihao Le, Yinhe Chen, Zhiqi Lin, Zewen Jin, Youshan Miao, Cheng Li |
| 2025 | SOSP | TrainVerify: Equivalence-Based Verification for Distributed LLM Training. | Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang |
| 2024 | EuroSys | Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. | Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang |
| 2024 | HPCA | Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. | Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang |
| 2024 | OSDI | nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. | Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou |
| 2023 | ECAI | Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. | Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu |
| 2022 | ASPLOS | Breaking the computation and communication abstraction barrier in distributed machine learning workloads. | Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi |
| 2020 | CLOUD | PaGraph: Scaling GNN training on large graphs via computation-aware caching. | Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu |
| 2020 | IJCAI | Motif-Preserving Temporal Network Embedding. | Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin |
| 2020 | OSDI | Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. | Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou |
| 2019 | EuroSys | Fast Distributed Deep Learning over RDMA. | Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou |
| 2019 | USENIX | NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. | Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai |
| 2017 | NSDI | Tux | Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou |
| 2015 | CLOUD | GraM: scaling graph computation to the trillions. | Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou |
| 2014 | EuroSys | Chronos: a graph engine for temporal graph analysis. | Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen |
| 2012 | EuroSys | Kineograph: taking the pulse of a fast-changing and connected world. | Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen |