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Jiaming Xie
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2020 – today
- 2024
- [c6]Junchang Zhang, Jiaming Xie:
An infrared target identification method based on complementary fusion features. ICMLC 2024: 382-388 - 2023
- [c5]Jiaming Xie, Yu Luo, Jie Ling, Guanghui Yue:
No Reference Image Quality Assessment Via Quality Difference Learning. ICME 2023: 1301-1306 - [c4]Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen:
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. MICCAI (7) 2023: 68-78 - 2022
- [j5]Yun Liang, Liqiang Lu, Yicheng Jin, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin:
An Efficient Hardware Design for Accelerating Sparse CNNs With NAS-Based Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 597-613 (2022) - [j4]Yun Liang, Qingcheng Xiao, Liqiang Lu, Jiaming Xie:
FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2546-2559 (2022) - 2021
- [j3]Jianwen Feng, Jiaming Xie, Jingyi Wang, Yi Zhao:
Secure synchronization of stochastic complex networks subject to deception attack with nonidentical nodes and internal disturbance. Inf. Sci. 547: 514-525 (2021) - [j2]Yun Liang, Liqiang Lu, Jiaming Xie:
OMNI: A Framework for Integrating Hardware and Software Optimizations for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(8): 1648-1661 (2021) - 2020
- [c3]Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang:
FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. DAC 2020: 1-6
2010 – 2019
- 2019
- [c2]Jiaming Xie, Yun Liang:
SPART: Optimizing CNNs by Utilizing Both Sparsity of Weights and Feature Maps. APPT 2019: 71-85 - [c1]Liqiang Lu, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin, Yun Liang:
An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs. FCCM 2019: 17-25 - 2018
- [i1]Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang:
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR abs/1811.01907 (2018) - 2017
- [j1]Jiaming Xie, Yi-King Choi:
Hybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data. Int. J. Distributed Sens. Networks 13(11) (2017)
Coauthor Index
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last updated on 2024-07-31 21:42 CEST by the dblp team
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