CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network. - Shengyu Fan; Hui Yu 010; Dianjie Lu; Shuai Jiao; Weizhi Xu 001; Fangai Liu; Zhiyong Liu 002 (IEEE Access, 2019)

Blocking and sparsity for optimization of convolution calculation algorithm on GPUs. - Weizhi Xu 001; Shengyu Fan; Tiantian Wang; Yufeng Zhou (CoRR, 2019)

Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model. - Shengyu Fan; Yueyan Bian; Hao Chen; Yan Kang; Qi Yang; Tao Tan (Frontiers Neuroinformatics, 2019)

An Automatic Estimation of Arterial Input Function Based on Multi-Stream 3D CNN. - Shengyu Fan; Yueyan Bian; Erling Wang; Yan Kang; Danny J. J. Wang; Qi Yang; Xunming Ji (Frontiers Neuroinformatics, 2019)

Clustering Based Low Dose Cerebral Computed Tomography Perfusion Spatio-temporal Restoration. - Shengyu Fan; Yueyan Bian; Yan Kang (ICBBS, 2020)

The feature maps comes from convolution neural networks before convolution operation. - Shengyu Fan (IEEE DataPort, 2021)

Application of Data Encryption in Chinese Named Entity Recognition. - Kaifang Long; Jikun Dong; Shengyu Fan; Yanfang Geng; Yang Cao; Han Zhao; Hui Yu 010; Weizhi Xu 001 (CoRR, 2022)

Multi-attention deep neural network fusing character and word embedding for clinical and biomedical concept extraction. - Shengyu Fan; Hui Yu 010; Xiaoya Cai; Yanfang Geng; Guangzhen Li; Weizhi Xu 001; Xia Wang; Yaping Yang (Inf. Sci., 2022)

TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. - Shengyu Fan; Zhiwei Wang; Weizhi Xu 001; Rui Hou 001; Dan Meng 002; Mingzhe Zhang (HPCA, 2023)

Poseidon: Practical Homomorphic Encryption Accelerator. - Yinghao Yang; Huaizhi Zhang; Shengyu Fan; Hang Lu; Mingzhe Zhang; Xiaowei Li 001 (HPCA, 2023)

Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs. - Weizhi Xu 001; Yintai Sun; Shengyu Fan; Hui Yu 010; Xin Fu (ACM Trans. Archit. Code Optim., 2023)

Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker. - Jiran Zhu; Jikun Dong; Hongyun Du; Yanfang Geng; Shengyu Fan; Hui Yu 010; Zengzhen Shao; Xia Wang; Yaping Yang; Weizhi Xu 001 (Neural Networks, 2023)

Efficient Selection Based on Integrated Information for Dialogue State Tracking. - Hongyun Du; Jikun Dong; Shengyu Fan; Shengjie Jia; Feiyue Diao; Jiran Zhu; Wei Sun; Hui Yu 010; Weizhi Xu 001 (IJCNN, 2024)

Trinity: A General Purpose FHE Accelerator. - Xianglong Deng; Shengyu Fan; Zhicheng Hu; Zhuoyu Tian; Zihao Yang; Jiangrui Yu; Dingyuan Cao 002; Dan Meng 002; Rui Hou 001; Meng Li; Qian Lou; Mingzhe Zhang (MICRO, 2024)

Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption. - Shengyu Fan; Xianglong Deng; Zhuoyu Tian; Zhicheng Hu; Liang Chang 002; Rui Hou 001; Dan Meng 002; Mingzhe Zhang (CoRR, 2024)

Corrosion Hammer: A Self-Activated Bit-Flip Attack to the Processing-In-Memory Accelerator. - Zihao Yang; Mengxin Zheng; Shengyu Fan; Qian Lou; Rui Hou 001; Dan Meng 002; Mingzhe Zhang (CF, 2025)

WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores. - Guang Fan; Mingzhe Zhang; Fangyu Zheng; Shengyu Fan; Tian Zhou; Xianglong Deng; Wenxu Tang; Liang Kong; Yixuan Song; Shoumeng Yan (HPCA, 2025)

FAST: An FHE Accelerator for Scalable-parallelism with Tunable-bit. - Shengyu Fan; Xianglong Deng; Liang Kong; Guiming Shi; Guang Fan; Dan Meng 002; Rui Hou 001; Mingzhe Zhang (ISCA, 2025)

Neo: Towards Efficient Fully Homomorphic Encryption Acceleration using Tensor Core. - Dian Jiao; Xianglong Deng; Zhiwei Wang; Shengyu Fan; Yi Chen; Dan Meng 002; Rui Hou 001; Mingzhe Zhang (ISCA, 2025)

LP-HENN: fully homomorphic encryption accelerator with high energy efficiency. - Zhuoyu Tian; Lei Chen; Shengyu Fan; Xianglong Deng; Rui Hou 001; Dan Meng 002; Mingzhe Zhang (Cybersecur., 2025)