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2020 – today
- 2024
[j4]Ting Liu
, Shun Yan, Guofeng Wang:
Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm. Multim. Tools Appl. 83(18): 55963-55979 (2024)- [j3]Tao Deng, Lianfang Jiang, Yi Shi, Jiang Wu, Zhangbi Wu, Shun Yan, Xianshi Zhang, Hongmei Yan:
Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network. IEEE Trans. Intell. Transp. Syst. 25(3): 2413-2423 (2024) - [j2]Zhengyan Liu, Qiang Liu, Shun Yan, Ray C. C. Cheung:
An Efficient FPGA-based Depthwise Separable Convolutional Neural Network Accelerator with Hardware Pruning. ACM Trans. Reconfigurable Technol. Syst. 17(1): 15:1-15:20 (2024) - 2022
- [c3]Yun Wang, Qiang Liu, Shun Yan:
DQI: A Dynamic Quantization Method for Efficient Convolutional Neural Network Inference Accelerators. FCCM 2022: 1 - 2021
- [c2]Ting Liu, Baijun Zhou, Yongsheng Zhao, Shun Yan:
Ship Detection Algorithm based on Improved YOLO V5. CACRE 2021: 483-487 - [c1]Shun Yan, Zhengyan Liu, Yun Wang, Chenglong Zeng, Qiang Liu, Bowen Cheng, Ray C. C. Cheung:
An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics. FPL 2021: 17-23
2010 – 2019
- 2019
- [j1]Shun Yan, Qiang Liu, Jiajun Li, Liang Han:
Heterogeneous Acceleration of Hybrid PSO-QN Algorithm for Neural Network Training. IEEE Access 7: 161499-161509 (2019)
Coauthor Index
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