Jun Yang - RankMe

26 papers A* 3A 2B 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang
2022	A*	`conf`	AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin
2022	A*	`conf`	Efficient Pipeline Planning for Expedited Distributed DNN Training. INFOCOM Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin
2022	J	`jnl`	Efficient Pipeline Planning for Expedited Distributed DNN Training. CoRR Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2021	J	`jnl`	1×N Block Pattern for Network Sparsity. CoRR Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
2021	J	`jnl`	Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data. CoRR Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang
2021	B	`conf`	DAPPLE: a pipelined data parallel approach for training large models. PPoPP Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2021	—	`conf`	DISC: A Dynamic Shape Compiler for Machine Learning Workloads. EuroMLSys@EuroSys Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
2021	J	`jnl`	DISC: A Dynamic Shape Compiler for Machine Learning Workloads. CoRR Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
2021	J	`jnl`	You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient. CoRR Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
2020	A*	`conf`	A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU. DAC Jiandong Mu, Mengdi Wang, Lanbo Li, Jun Yang, Wei Lin, Wei Zhang
2020	J	`jnl`	Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. CoRR Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin
2020	A	`conf`	Fast Training of Deep Learning Models over Multiple GPUs. Middleware Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin
2020	J	`jnl`	FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
2020	J	`jnl`	INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices. CoRR Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv
2020	A	`conf`	Optimizing distributed training deployment in heterogeneous GPU clusters. CoNEXT Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin
2019	—	`conf`	Characterizing Deep Learning Training Workloads on Alibaba-PAI. IISWC Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
2019	J	`jnl`	Characterizing Deep Learning Training Workloads on Alibaba-PAI. CoRR Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
2019	J	`jnl`	FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads. CoRR Guoping Long, Jun Yang, Wei Lin
2018	—	`conf`	Efficient Deep Learning Inference Based on Model Compression. CVPR Workshops Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin
2018	J	`jnl`	FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs. CoRR Guoping Long, Jun Yang, Kai Zhu, Wei Lin
2018	J	`jnl`	Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks. CoRR Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei Lin