Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. - Yanpeng Cao; Chengcheng Wang; Changjun Song; Yongming Tang; He Li 008 (ASAP, 2021)

Efficient LUT-based FPGA Accelerator Design for Universal Quantized CNN Inference. - Yanpeng Cao; Changjun Song; Yongming Tang (ASSE, 2021)

FAPN: Face Alignment Propagation Network for Face Video Super-Resolution. - Sige Bian; He Li 008; Feng Yu 006; Jiyuan Liu 006; Changjun Song; Yongming Tang (ACCV (Workshops), 2022)

TANN: Text-based Attention Neural Network Recommendation Model. - Gang Qiu; Yanli Guo; Changjun Song (BigDataSecurity/HPSC/IDS, 2022)

Multi-view hybrid recommendation model based on deep learning. - Gang Qiu; Changjun Song; Liping Jiang; Yanli Guo (Intell. Data Anal., 2022)

A study on a Multi-Model Fusion Framework for Automatic Website Classification and Recognition. - Lin Shiming; Ma Feiyan; Zhao Lijuan; Changjun Song (CBD, 2023)

MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. - Sige Bian; He Li 008; Chengcheng Wang; Changjun Song; Yongming Tang (FCCM, 2023)

MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. - Changjun Song; Yongming Tang; Jiyuan Liu 006; Sige Bian; Danni Deng; He Li 008 (FPL, 2023)