Youshan Miao - RankMe

34 papers A* 6A 6Misc 2Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training. NSDI Guanbin Xu, Zhihao Le, Yinhe Chen, Zhiqi Lin, Zewen Jin, Youshan Miao, Cheng Li
2025	A	`conf`	LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like. ECAI Yibo Han, Tangzhi Xu, Zenan Li, Yijia Zhang, Youshan Miao, Yuan Yao, Ningyi Xu
2025	A*	`conf`	TrainVerify: Equivalence-Based Verification for Distributed LLM Training. SOSP Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
2025	J	`jnl`	TrainVerify: Equivalence-Based Verification for Distributed LLM Training. CoRR Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
2024	A	`conf`	Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. EuroSys Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang
2024	J	`jnl`	Efficient Schedule Construction for Distributed Execution of Large DNN Models. IEEE Trans. Parallel Distributed Syst. Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	A*	`conf`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	A*	`conf`	nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 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	A	`conf`	Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou
2023	J	`jnl`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2022	A*	`conf`	Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021	—	`conf`	Accelerating GNN training with locality-aware partial execution. APSys Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
2021	J	`jnl`	CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021	J	`jnl`	CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner. CoRR Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong
2021	J	`jnl`	Dense-to-Sparse Gate for Mixture-of-Experts. CoRR Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui
2021	J	`jnl`	Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu
2021	J	`jnl`	ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu
2020	J	`jnl`	Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020	J	`jnl`	Architectural Implications of Graph Neural Networks. CoRR Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020	J	`jnl`	Distributed Graph Computation Meets Machine Learning. IEEE Trans. Parallel Distributed Syst. Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
2020	A*	`conf`	Motif-Preserving Temporal Network Embedding. IJCAI Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
2020	—	`conf`	PaGraph: Scaling GNN training on large graphs via computation-aware caching. SoCC Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu
2020	A*	`conf`	Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
2019	A	`conf`	Fast Distributed Deep Learning over RDMA. EuroSys Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
2019	—	`conf`	NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2018	J	`jnl`	RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
2018	J	`jnl`	Towards Efficient Large-Scale Graph Neural Network Computing. CoRR Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2017	Misc	`conf`	Tux NSDI Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
2015	—	`conf`	GraM: scaling graph computation to the trillions. SoCC Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
2015	J	`jnl`	ImmortalGraph: A System for Storage and Analysis of Temporal Graphs. ACM Trans. Storage Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen
2014	A	`conf`	Chronos: a graph engine for temporal graph analysis. EuroSys Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen
2012	A	`conf`	Kineograph: taking the pulse of a fast-changing and connected world. EuroSys Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen