Naifeng Jing

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jing Ke

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Publications

2021
[c46]
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Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang:
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom 2021: 73-80
2020
[c45]
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  - conf/acsw/KeLLJLJ20
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Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang:
FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW 2020: 34:1-34:6
[c44]
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  - conf/aime/Ke0GWJL20
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Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang:
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME 2020: 260-269
[c43]
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  - conf/bibm/Ke0WJLS20
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Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen:
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM 2020: 1043-1046
[c42]
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  - conf/dac/SongWLJKLJ20
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Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing:
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC 2020: 1-6
[c35]
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  - conf/micro/SongWLKJL20
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Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang:
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO 2020: 698-710
2019
[c32]
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  - conf/aspdac/Ji0LJKL19
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Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang:
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC 2019: 249-254
[c31]
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  - conf/aspdac/WangJKLJ19
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Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing:
A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC 2019: 388-393

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