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ORCIDJun Yang 0052
Person information
- affiliation: NVIDIA Corp, Beijing, China
- affiliation: Alibaba Group, Computing Platform Department, Hangzhou, China
Other persons with the same name
- Jun Yang — disambiguation page
- Jun Yang 0001
![[0000-0003-0604-6790]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0604-6790")
— Duke University, Durham, NC, USA - Jun Yang 0002 — University of Pittsburgh, Department of Electrical and Computer Engineering, PA, USA
- Jun Yang 0003 — Carnegie Mellon University
- Jun Yang 0004 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Noise and Vibration Research, Beijing, China (and 2 more)
- Jun Yang 0005 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 1 more)
- Jun Yang 0006 — Southeast University, National ASIC system Engineering Research Center, Nanjing, China
- Jun Yang 0007 — Nagoya University
- Jun Yang 0008 — Northeastern University, Shenyang
- Jun Yang 0009 — Xi'an Jiaotong University, Xi'an, China
- Jun Yang 0010 — University of Toronto, Department of Statistical Sciences, ON, Canada (and 1 more)
- Jun Yang 0011 — Loughborough University, Department of Aeronautical and Automotive Engineering, Leicestershire, UK (and 1 more)
- Jun Yang 0012 — Liaoning Normal University, China
- Jun Yang 0013 — Civil Aviation Flight University of China, Guanghan, China
- Jun Yang 0014 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Jun Yang 0015 — Wuhan University of Science and Technology, School of Information Science and Engineering, China
- Jun Yang 0016 — Tsinghua University, Center for Earth System Science, Beijing, China (and 3 more)
- Jun Yang 0017 — Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 1 more)
- Jun Yang 0018 — Beihang University, School of Reliability and Systems Engineering, Beijing, China (and 1 more)
- Jun Yang 0019 — Wuhan University, School of Electrical Engineering, China (and 1 more)
- Jun Yang 0020 — University of Hanover, Germany
- Jun Yang 0021 — China State Shipbuilding Corporation, Beijing, China
- Jun Yang 0022 — A-STAR, Data Stoarge Institute, Singapore (and 1 more)
- Jun Yang 0023 — University of Electronic Science and Technology of China, Shenzhen Institute for Advanced Study, China (and 2 more)
- Jun Yang 0024 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Jun Yang 0025 — Sichuan Normal University, College of Computer Science / Visual Computing and Virtual Reality Key Laboratory of Sichuan Province, Chengdu, China
- Jun Yang 0026 — National University of Defense Technology, College of Artificial Intelligence, Changsha, China
- Jun Yang 0027 — South China University of Technology, School of Electric Power, Guangzhou, China (and 2 more)
- Jun Yang 0028 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Jun Yang 0029 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Jun Yang 0030 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Jun Yang 0031 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Jun Yang 0032 — Nankai University, College of Computer and Control Engineering, Tianjin, China
- Jun Yang 0033 — University of New South Wales, AustraliaNational ICT Australia, Sydney, NSW, Australia
- Jun Yang 0034 — Xi'an University of Science and Technology, School of Geodesy and Geomatics, China (and 1 more)
- Jun Yang 0035 — Beijing University of Posts and Telecommunications, School of Computer Science, National Engineering Laboratory for Mobile Network, China
- Jun Yang 0036 — Guangzhou University, China (and 3 more)
- Jun Yang 0037 — Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China
- Jun Yang 0038 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
- Jun Yang 0039 — Civil Aviation University of China, Tianjin Key Laboratory for Advanced Signal Processing, China
- Jun Yang 0040 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Jun Yang 0041 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Jun Yang 0042 — Jinan University, Institute for Environmental and Climate Research, Guangzhou, China
- Jun Yang 0043 — Chinese Academy of Sciences, Shanghai Chenshan Plant Science Research Center, China
- Jun Yang 0044 — China Mobile Communications Group Gansu Co., Ltd., Network Management Center, Lanzhou, China
- Jun Yang 0045 — Acadia University, School of Business Administration, Wolfville, NS, Canada
- Jun Yang 0046 — Xianyang Normal University, School of Mathematics and Information Science, China
- Jun Yang 0047 — Hefei University of Technology, Academy of Opto-electric Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, China
- Jun Yang 0048 — State Grid Qinghai Electric Power Company, Electric Power Research Institute, Xining, China
- Jun Yang 0049 — China University of Mining and Technology, Big Data and Internet of Things Research Center, Beijing, China (and 1 more)
- Jun Yang 0050 — Shandong University, School of Control Science and Engineering, Jinan, China (and 2 more)
- Jun Yang 0051 — Jiaxing University, College of Mathematics Physics and Information Engineering, China (and 1 more)
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2020 – today
- 2024
[j2]Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang:
Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 548-561 (2024)- 2022
- [j1]Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin:
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. 33(12): 4694-4706 (2022) - [c9]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:
AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS 2022: 359-373 - [c8]Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin:
Efficient Pipeline Planning for Expedited Distributed DNN Training. INFOCOM 2022: 340-349 - [i13]Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin:
Efficient Pipeline Planning for Expedited Distributed DNN Training. CoRR abs/2204.10562 (2022) - [i12]Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin:
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR abs/2209.12769 (2022) - 2021
- [c7]Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin:
DISC: A Dynamic Shape Compiler for Machine Learning Workloads. EuroMLSys@EuroSys 2021: 89-95 - [c6]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:
DAPPLE: a pipelined data parallel approach for training large models. PPoPP 2021: 431-445 - [i11]Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin:
DISC: A Dynamic Shape Compiler for Machine Learning Workloads. CoRR abs/2103.05288 (2021) - [i10]Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang:
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data. CoRR abs/2107.08815 (2021) - 2020
- [c5]Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin:
Optimizing distributed training deployment in heterogeneous GPU clusters. CoNEXT 2020: 93-107 - [c4]Jiandong Mu, Mengdi Wang, Lanbo Li, Jun Yang, Wei Lin, Wei Zhang:
A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU. DAC 2020: 1-6 - [c3]Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin:
Fast Training of Deep Learning Models over Multiple GPUs. Middleware 2020: 105-118 - [i9]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:
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR abs/2007.01045 (2020) - [i8]Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin:
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. CoRR abs/2007.04069 (2020) - [i7]Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin:
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR abs/2009.10924 (2020) - [i6]Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv:
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices. CoRR abs/2010.14841 (2020) - [i5]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:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020)
2010 – 2019
- 2019
- [c2]Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia:
Characterizing Deep Learning Training Workloads on Alibaba-PAI. IISWC 2019: 189-202 - [i4]Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia:
Characterizing Deep Learning Training Workloads on Alibaba-PAI. CoRR abs/1910.05930 (2019) - [i3]Guoping Long, Jun Yang, Wei Lin:
FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads. CoRR abs/1911.11576 (2019) - 2018
- [c1]Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin:
Efficient Deep Learning Inference Based on Model Compression. CVPR Workshops 2018: 1695-1702 - [i2]Guoping Long, Jun Yang, Kai Zhu, Wei Lin:
FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs. CoRR abs/1811.05213 (2018) - [i1]Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei Lin:
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks. CoRR abs/1811.08589 (2018)
Coauthor Index
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