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2020 – today
- 2023
[c7]Lin Shiming
, Ma Feiyan, Zhao Lijuan, Changjun Song:
A study on a Multi-Model Fusion Framework for Automatic Website Classification and Recognition. CBD 2023: 128-133- [c6]Sige Bian, He Li, Chengcheng Wang, Changjun Song, Yongming Tang:
MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. FCCM 2023: 218 - [c5]Changjun Song, Yongming Tang, Jiyuan Liu, Sige Bian, Danni Deng, He Li:
MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. FPL 2023: 159-165 - 2022
- [j1]Gang Qiu, Changjun Song, Liping Jiang, Yanli Guo:
Multi-view hybrid recommendation model based on deep learning. Intell. Data Anal. 26(4): 977-992 (2022) - [c4]Sige Bian, He Li, Feng Yu, Jiyuan Liu, Changjun Song, Yongming Tang:
FAPN: Face Alignment Propagation Network for Face Video Super-Resolution. ACCV (Workshops) 2022: 3-18 - [c3]Gang Qiu, Yanli Guo, Changjun Song:
TANN: Text-based Attention Neural Network Recommendation Model. BigDataSecurity/HPSC/IDS 2022: 119-124 - 2021
- [c2]Yanpeng Cao, Chengcheng Wang, Changjun Song, Yongming Tang, He Li:
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. ASAP 2021: 69-76 - [c1]Yanpeng Cao, Changjun Song, Yongming Tang:
Efficient LUT-based FPGA Accelerator Design for Universal Quantized CNN Inference. ASSE 2021: 108-115 - [i1]Yanpeng Cao, Chengcheng Wang, Changjun Song, Yongming Tang, He Li:
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. CoRR abs/2107.05307 (2021)
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