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2020 – today
- 2024
[j6]Yushu Chen
, Shengzhuo Liu, Jinzhe Yang, Hao Jing, Wenlai Zhao, Guangwen Yang:
A Joint Time-Frequency Domain Transformer for multivariate time series forecasting. Neural Networks 176: 106334 (2024)- [j5]Quan Deng, Qiang Liu, Ming Yuan, Xiaohui Duan, Lin Gan, Jinzhe Yang, Wenlai Zhao, Zhenxiang Zhang, Guiming Wu, Wayne Luk, Haohuan Fu, Guangwen Yang:
Acceleration of Multi-Body Molecular Dynamics With Customized Parallel Dataflow. IEEE Trans. Parallel Distributed Syst. 35(12): 2297-2314 (2024) - 2023
- [c17]Wei Gao, Wenxiang Zhang, Wenzhao Wu, Yanjie Zhen, Wenlai Zhao, Guangwen Yang:
Automatic Deep Learning Operator Fusion on Sunway SW26010 Many-Core Processor. ICPADS 2023: 1943-1950 - [i4]Yushu Chen, Shengzhuo Liu, Jinzhe Yang, Hao Jing, Wenlai Zhao, Guangwen Yang:
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting. CoRR abs/2305.14649 (2023) - [i3]Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu, Kunpeng Wang, Wenlai Zhao, Guangwen Yang:
RecycleGPT: An Autoregressive Language Model with Recyclable Module. CoRR abs/2308.03421 (2023) - 2020
- [j4]Lin Gan, Ming Yuan, Jinzhe Yang, Wenlai Zhao, Wayne Luk, Guangwen Yang:
High performance reconfigurable computing for numerical simulation and deep learning. CCF Trans. High Perform. Comput. 2(2): 196-208 (2020) - [j3]Teng Yu, Wenlai Zhao, Pan Liu, Vladimir Janjic, Xiaohan Yan, Shicai Wang, Haohuan Fu, Guangwen Yang, John Thomson:
Large-Scale Automatic K-Means Clustering for Heterogeneous Many-Core Supercomputer. IEEE Trans. Parallel Distributed Syst. 31(5): 997-1008 (2020) - [j2]Yixue Hao, Min Chen, Donggang Cao, Wenlai Zhao, Ivan Petrov, Vitaly A. Antonenko, Ruslan L. Smelyanskiy:
Cognitive-Caching: Cognitive Wireless Mobile Caching by Learning Fine-Grained Caching-Aware Indicators. IEEE Wirel. Commun. 27(1): 100-106 (2020)
2010 – 2019
- 2019
- [c16]Liang Qiao, Hongkun Yu, Kunpeng Wang, Ruixin Sun, Wenlai Zhao, Haohuan Fu, Guangwen Yang:
Large-scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures. BIBM 2019: 711-716 - [c15]Ming Yuan, Zhilei Chai, Wenlai Zhao:
Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation. ICANN (3) 2019: 143-156 - [c14]Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, Guangwen Yang:
Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer. ICCS (1) 2019: 427-440 - [c13]Wei Gao, Jiarui Fang, Wenlai Zhao, Jinzhe Yang, Long Wang, Lin Gan, Haohuan Fu, Guangwen Yang:
swATOP: Automatically Optimizing Deep Learning Operators on SW26010 Many-Core Processor. ICPP 2019: 89:1-89:10 - [c12]Kunpeng Wang, Shizhen Xu, Haohuan Fu, Hongkun Yu, Wenlai Zhao, Guangwen Yang:
Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model. ICS 2019: 13-23 - [i2]Jiarui Fang, Liandeng Li, Haohuan Fu, Jinlei Jiang, Wenlai Zhao, Conghui He, Xin You, Guangwen Yang:
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight. CoRR abs/1903.06934 (2019) - [i1]Yushu Chen, Hao Jing, Wenlai Zhao, Zhiqiang Liu, Liang Qiao, Wei Xue, Haohuan Fu, Guangwen Yang:
NAMSG: An Efficient Method For Training Neural Networks. CoRR abs/1905.01422 (2019) - 2018
- [j1]Wenlai Zhao, Haohuan Fu, Jiarui Fang, Weijie Zheng, Lin Gan, Guangwen Yang:
Optimizing Convolutional Neural Networks on the Sunway TaihuLight Supercomputer. ACM Trans. Archit. Code Optim. 15(1): 13:1-13:26 (2018) - [c11]Liandeng Li, Jiarui Fang, Haohuan Fu, Jinlei Jiang, Wenlai Zhao, Conghui He, Xin You, Guangwen Yang:
swCaffe: A Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight. CLUSTER 2018: 413-422 - [c10]Liandeng Li, Teng Yu, Wenlai Zhao, Haohuan Fu, Chenyu Wang, Li Tan, Guangwen Yang, John Thomson:
Large-scale hierarchical k-means for heterogeneous many-core supercomputers. SC 2018: 13:1-13:11 - 2017
- [c9]Jiarui Fang, Haohuan Fu, Wenlai Zhao, Bingwei Chen, Weijie Zheng, Guangwen Yang:
swDNN: A Library for Accelerating Deep Learning Applications on Sunway TaihuLight. IPDPS 2017: 615-624 - 2016
- [c8]Haohuan Fu, Jingheng Xu, Lin Gan, Chao Yang, Wei Xue, Wenlai Zhao, Wen Shi, Xinliang Wang, Guangwen Yang:
Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver. ASAP 2016: 41-49 - [c7]Wenlai Zhao, Haohuan Fu, Wayne Luk, Teng Yu, Shaojun Wang, Bo Feng, Yuchun Ma, Guangwen Yang:
F-CNN: An FPGA-based framework for training Convolutional Neural Networks. ASAP 2016: 107-114 - [c6]Teng Yu, Bo Feng, Mark Stillwell, José Gabriel F. Coutinho, Wenlai Zhao, Shuang Liang, Wayne Luk, Alexander L. Wolf, Yuchun Ma:
Relation-oriented resource allocation for multi-accelerator systems. ASAP 2016: 243-244 - [c5]Jingheng Xu, Haohuan Fu, Lin Gan, Chao Yang, Wei Xue, Shizhen Xu, Wenlai Zhao, Xinliang Wang, Bingwei Chen, Guangwen Yang:
Generalized GPU Acceleration for Applications Employing Finite-Volume Methods. CCGrid 2016: 126-135 - 2015
- [c4]Bangtian Liu, Haohuan Fu, Lin Gan, Wenlai Zhao, Guangwen Yang:
Optimizing Residue Number Reverse Converters through Bitwise Arithmetic on FPGAs. FCCM 2015: 236-243 - 2014
- [c3]Wenlai Zhao, Haohuan Fu, Guangwen Yang:
A Fully-Pipelined FPGA Design for Tree-Reweighted Message Passing Algorithm. FCCM 2014: 177 - [c2]Wenlai Zhao, Haohuan Fu, Guangwen Yang, Wayne Luk:
Patra: Parallel tree-reweighted message passing architecture. FPL 2014: 1-6 - 2013
- [c1]Jun Zhang, Jiangtao Wen, Jingyuan Wang, Wenlai Zhao:
TCP-FITDC: An adaptive approach to TCP incast avoidance for data center applications. ICNC 2013: 1048-1052
Coauthor Index
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