Reconfigurable Cipher Processing Framework and Implementation. - Jingfei Jiang; Xiaoqiang Ni; Minxuan Zhang (APPT, 2003)

A New Computer Architecture Using a New Program Driving Method. - Xiaobo Li; Xiangdong Cui; Xiaoqiang Ni; Chiyuan Ma; Jingfei Jiang; Huiping Zhou; Zhou Zhou; Ke Luo; Jiangsha Deng (ACIS-ICIS, 2006)

A New Processor Architecture with a New Program Driving Method. - Xiaobo Li; Ke Luo; Xiangdong Cui; Lalin Jiang; Xiaoqiang Ni; Chiyuan Ma; Jingfei Jiang; Huiping Zhou; Zhou Zhou (CDES, 2006)

Fine-grained parallel application specific computing for RNA secondary structure prediction using SCFGS on FPGA. - Yong Dou; Fei Xia 003; Jingfei Jiang (CASES, 2009)

A Fine-grained Pipelined Implementation of the LINPACK Benchmark on FPGAs. - Guiming Wu; Yong Dou; Yuanwu Lei; Jie Zhou 007; Miao Wang; Jingfei Jiang (FCCM, 2009)

An Efficient Coding Scheme for Tolerating Double Disk Failures. - Rongdong Hu; Guangming Liu; Jingfei Jiang (HPCC, 2010)

A Unified Co-Processor Architecture for Matrix Decomposition. - Yong Dou; Jie Zhou 007; Guiming Wu; Jingfei Jiang; Yuanwu Lei; Shi-Ce Ni (J. Comput. Sci. Technol., 2010)

Research on Equal Symmetric Distributed Fault-tolerant Architecture and Strategy for Parallel Satellite System. - Hao Zhou 009; Jingfei Jiang (CSE, 2011)

KSwSVR: A New Load Forecasting Method for Efficient Resources Provisioning in Cloud. - Rongdong Hu; Jingfei Jiang; Guangming Liu; Lixin Wang (IEEE SCC, 2013)

Empirical Evaluation of Fixed-Point Arithmetic for Deep Belief Networks. - Jingfei Jiang; Rongdong Hu; Mikel Luján; Yong Dou (ARC, 2013)

Effect of fixed-point arithmetic on deep belief networks (abstract only). - Jingfei Jiang; Rongdong Hu; Mikel Luján (FPGA, 2013)

CPU Load Prediction Using Support Vector Regression and Kalman Smoother for Cloud. - Rongdong Hu; Jingfei Jiang; Guangming Liu; Lixin Wang (ICDCS Workshops, 2013)

A Flexible Memory Controller Supporting Deep Belief Networks with Fixed-Point Arithmetic. - Jingfei Jiang; Rongdong Hu; Mikel Luján (IPDPS Workshops, 2013)

A high throughput K-best detector on FPGA. - Zhiqiang Liu; Jingfei Jiang; Yong Dou; Rongchun Li; Song Guo 003 (BlackSeaCom, 2014)

Efficient parallel implementation of morphological operation on GPU and FPGA. - Teng Li 010; Yong Dou; Jingfei Jiang; Jing Gao (SPAC, 2014)

Optimized deep belief networks on CUDA GPUs. - Teng Li 010; Yong Dou; Jingfei Jiang; Yueqing Wang; Qi Lv (IJCNN, 2015)

G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS. - Rongdong Hu; Guangming Liu; Jingfei Jiang; Lixin Wang (Comput. Math. Methods Medicine, 2015)

Automatic code generation of convolutional neural networks in FPGA implementation. - Zhiqiang Liu; Yong Dou; Jingfei Jiang; Jinwei Xu (FPT, 2016)

Improved Survey Propagation on Graphics Processing Units. - Yang Zhao 003; Jingfei Jiang; Pengbo Wu (GPC, 2016)

Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm. - Tong Zhou; Jingfei Jiang (J. Supercomput., 2016)

Coarse-Grained Architecture for Fingerprint Matching. - Jinwei Xu; Jingfei Jiang; Yong Dou; Xiaolong Shen; Zhiqiang Liu (ACM Trans. Reconfigurable Technol. Syst., 2016)

A Super-Vector Deep Learning Coprocessor with High Performance-Power Ratio. - Jingfei Jiang; Zhiqiang Liu; Jinwei Xu; Rongdong Hu (ACIIDS (Extended Posters), 2017)

Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic. - Ruochun Jin; Jingfei Jiang; Yong Dou (ARC, 2017)

Customized Architecture Technology for High Performance Computing. - Jingfei Jiang (ETCD@ASPLOS, 2017)

An FPGA-based processor for training convolutional neural networks. - Zhiqiang Liu; Yong Dou; Jingfei Jiang; Qiang Wang 006; Paul Chow (FPT, 2017)

The vibration transmissibility of a single degree of freedom oscillator with nonlinear fractional order damping. - Jingfei Jiang; Dengqing Cao; Huatao Chen; Kun Zhao (Int. J. Syst. Sci., 2017)

Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks. - Zhiqiang Liu; Yong Dou; Jingfei Jiang; Jinwei Xu; Shijie Li; Yongmei Zhou; Yingnan Xu (ACM Trans. Reconfigurable Technol. Syst., 2017)

Research on Acceleration Method of Speech Recognition Training. - Liang Bai; Jingfei Jiang; Yong Dou (ACA, 2018)

Research on Parallel Acceleration for Deep Learning Inference Based on Many-Core ARM Platform. - Keqian Zhu; Jingfei Jiang (ACA, 2018)

Design and Implementation of Convolutional Neural Network Accelerator with Variable Layer-by-layer Debugging. - Songpu Huang; Jingfei Jiang; Yong Dou; Liang Bai; Hao Wang; Buyue Qin (ICDLT, 2018)

Study of Multilevel Parallel Algorithm of KPCA for Hyperspectral Images. - Rulin Xu; Chang Gao; Jingfei Jiang (NCTCS, 2018)

High performance robust audio event recognition system based on FPGA platform. - Jinwei Xu; Zhiqiang Liu; Jingfei Jiang; Yong Dou (Cogn. Syst. Res., 2018)

CaFPGA: An automatic generation model for CNN accelerator. - Jinwei Xu; Zhiqiang Liu; Jingfei Jiang; Yong Dou; Shijie Li (Microprocess. Microsystems, 2018)

Long Time Behavior and Global Dynamics of Simplified Von Karman Plate Without Rotational Inertia Driven by White Noise. - Huatao Chen; Dengqing Cao; Jingfei Jiang; Xiaoming Fan (Symmetry, 2018)

Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. - Cheng Xu; Zhaoqun Li; Qiang Qiu; Biao Leng; Jingfei Jiang (ICCV, 2019)

Accelerating High Throughput Cipher Processing on Supercomputing Platform. - Hao Wang; Jingfei Jiang (Int. J. Interdiscip. Telecommun. Netw., 2019)

A Beamforming Method Based on Polarization Matching. - Xiaohui Yang; Jie Gu; Jingfei Jiang; Yunhao Li (ICAIT, 2020)

A Dynamic Mapping Model for General CNN Accelerator Based on FPGA. - Xiaoqiang Zhao; Jingfei Jiang; Zhe Han; Jinwei Xu; Zhiqiang Liu (NPC, 2020)

A Simplified Speaker Recognition System Based on FPGA Platform. - Jinwei Xu; Shijie Li 002; Jingfei Jiang; Yong Dou (IEEE Access, 2020)

Sliding mode control for a class of variable-order fractional chaotic systems. - Jingfei Jiang; Dengqing Cao; Huatao Chen (J. Frankl. Inst., 2020)

RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. - Dong Wen 004; Jingfei Jiang; Jinwei Xu; Kang Wang; Tao Xiao; Yang Zhao 003; Yong Dou (ASAP, 2021)

Compressed LSTM using balanced sparsity. - Tao Xiao; Jingfei Jiang; Jinwei Xu; Dong Wen 004; Junhua Wang; Xuehui Chen (CBD, 2021)

A high-throughput scalable BNN accelerator with fully pipelined architecture. - Zhe Han; Jingfei Jiang; Jinwei Xu; Peng Zhang 035; Xiaoqiang Zhao; Dong Wen 004; Yong Dou (CCF Trans. High Perform. Comput., 2021)

An energy-efficient convolutional neural network accelerator for speech classification based on FPGA and quantization. - Dong Wen 004; Jingfei Jiang; Yong Dou; Jinwei Xu; Tao Xiao (CCF Trans. High Perform. Comput., 2021)

Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning. - Shiyao Xu; Jingfei Jiang; Jinwei Xu; Chaorun Liu; Yuanhong He; Xiaohang Liu; Lei Gao (ICCD, 2022)

MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. - Peng Qiao; Zhouyu He; Rongchun Li; Jingfei Jiang; Yong Dou; Dongsheng Li 001 (ICPADS, 2022)

Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. - Xiaohang Liu; Jingfei Jiang; Jinwei Xu; Lei Gao (ICTAI, 2022)

A low-latency LSTM accelerator using balanced sparsity based on FPGA. - Jingfei Jiang; Tao Xiao; Jinwei Xu; Dong Wen 004; Lei Gao; Yong Dou (Microprocess. Microsystems, 2022)

Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. - Hongyu Chen; Zhejiang Ran; Keshi Ge; Zhiquan Lai; Jingfei Jiang; Dongsheng Li 001 (Euro-Par, 2023)

SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure. - Jinwei Xu; Jingfei Jiang; Shiyao Xu; Lei Gao (HPCC/DSS/SmartCity/DependSys, 2023)

DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method. - Xifu Qian; Jingfei Jiang; Jinwei Xu; Caili Gao; Qisheng Xu (ICMLC, 2023)

Sparse Reconstruction-Based Time-Delay Estimation Algorithm in the Exponential Correlation Domain. - Lin-Feng Zou; Yun-Feng Zhu; Jie Gu; Jingfei Jiang; Lu Zhang 029 (IEEE Access, 2023)

Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion. - Shenghong Ma; Jinwei Xu; Jingfei Jiang; Yaohua Wang; Dongsheng Li 001 (ISPA, 2024)

Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. - Hongpu Liu; Jingfei Jiang; Kaixin Wang; Lingshu Kong; Jingshu Wang (KSEM (1), 2024)

End-To-End High-Quality Transformer Object Detection Model Applied to Human Head Detection. - Rongchun Li; Zhen Zhou; Peng Qiao; Jingfei Jiang (PRCV (12), 2024)

Self-Supervised Learning-For Underwater Acoustic Signal Classification With Mixup. - Qisheng Xu; Jingfei Jiang; Kele Xu; Yong Dou; Caili Gao; Boqing Zhu; Kang You; Qian Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator. - Shiyao Xu; Jingfei Jiang; Jinwei Xu; Xifu Qian (ACM Trans. Reconfigurable Technol. Syst., 2024)

DiffRS: An Extensible Diffusion Model for Remote Sensing Image Generation. - Xinyue Huang; Xin Niu 002; Jingfei Jiang; Hengyue Pan (ICASSP, 2025)

FQuant: Fast Quantization with Adaptive Resolution via the Clustering Algorithm. - Linagwei Li; Jingfei Jiang; Jinwei Xu; Shunan Zhou; Minghua Zhu (ICIC (21), 2025)

SAPFIS: a parallel fuzzy inference system for air combat situation assessment. - Lei Gao; Jingfei Jiang; Jinwei Xu; Weijia Wang; Pengbo Wu (J. Supercomput., 2025)