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2020 – today
- 2025
[j19]Lei Gao, Jingfei Jiang, Jinwei Xu, Weijia Wang, Pengbo Wu:
SAPFIS: a parallel fuzzy inference system for air combat situation assessment. J. Supercomput. 81(1): 73 (2025)- 2024
- [j18]Qisheng Xu
, Jingfei Jiang, Kele Xu, Yong Dou, Caili Gao, Boqing Zhu, Kang You, Qian Zhu:
Self-Supervised Learning-For Underwater Acoustic Signal Classification With Mixup. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3530-3542 (2024) - [j17]Shiyao Xu, Jingfei Jiang, Jinwei Xu, Xifu Qian:
Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator. ACM Trans. Reconfigurable Technol. Syst. 17(3): 38:1-38:30 (2024) - [c37]Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang:
Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. KSEM (1) 2024: 228-239 - 2023
- [j16]Lin-Feng Zou, Yun-Feng Zhu, Jie Gu, Jingfei Jiang, Lu Zhang:
Sparse Reconstruction-Based Time-Delay Estimation Algorithm in the Exponential Correlation Domain. IEEE Access 11: 100554-100564 (2023) - [c36]Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li:
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. Euro-Par 2023: 367-382 - [c35]Jinwei Xu, Jingfei Jiang, Shiyao Xu, Lei Gao:
SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure. HPCC/DSS/SmartCity/DependSys 2023: 734-741 - [c34]Xifu Qian, Jingfei Jiang, Jinwei Xu, Caili Gao, Qisheng Xu:
DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method. ICMLC 2023: 146-151 - 2022
- [j15]Jingfei Jiang, Tao Xiao, Jinwei Xu, Dong Wen, Lei Gao, Yong Dou:
A low-latency LSTM accelerator using balanced sparsity based on FPGA. Microprocess. Microsystems 89: 104417 (2022) - [c33]Shiyao Xu, Jingfei Jiang, Jinwei Xu, Chaorun Liu, Yuanhong He, Xiaohang Liu, Lei Gao:
Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning. ICCD 2022: 479-486 - [c32]Peng Qiao, Zhouyu He, Rongchun Li, Jingfei Jiang, Yong Dou, Dongsheng Li:
MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. ICPADS 2022: 475-482 - [c31]Xiaohang Liu, Jingfei Jiang, Jinwei Xu, Lei Gao:
Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. ICTAI 2022: 607-615 - 2021
- [j14]Dong Wen, Jingfei Jiang, Yong Dou, Jinwei Xu, Tao Xiao:
An energy-efficient convolutional neural network accelerator for speech classification based on FPGA and quantization. CCF Trans. High Perform. Comput. 3(1): 4-16 (2021) - [j13]Zhe Han, Jingfei Jiang, Jinwei Xu, Peng Zhang, Xiaoqiang Zhao, Dong Wen, Yong Dou:
A high-throughput scalable BNN accelerator with fully pipelined architecture. CCF Trans. High Perform. Comput. 3(1): 17-30 (2021) - [c30]Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou:
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. ASAP 2021: 33-40 - [c29]Tao Xiao, Jingfei Jiang, Jinwei Xu, Dong Wen, Junhua Wang, Xuehui Chen:
Compressed LSTM using balanced sparsity. CBD 2021: 213-217 - [i1]Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou:
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. CoRR abs/2108.01020 (2021) - 2020
- [j12]Jinwei Xu, Shijie Li, Jingfei Jiang, Yong Dou:
A Simplified Speaker Recognition System Based on FPGA Platform. IEEE Access 8: 1507-1516 (2020) - [j11]Jingfei Jiang, Dengqing Cao, Huatao Chen:
Sliding mode control for a class of variable-order fractional chaotic systems. J. Frankl. Inst. 357(15): 10127-10158 (2020) - [c28]Xiaohui Yang, Jie Gu, Jingfei Jiang, Yunhao Li:
A Beamforming Method Based on Polarization Matching. ICAIT 2020: 1-4 - [c27]Xiaoqiang Zhao, Jingfei Jiang, Zhe Han, Jinwei Xu, Zhiqiang Liu:
A Dynamic Mapping Model for General CNN Accelerator Based on FPGA. NPC 2020: 17-29
2010 – 2019
- 2019
- [j10]Hao Wang, Jingfei Jiang:
Accelerating High Throughput Cipher Processing on Supercomputing Platform. Int. J. Interdiscip. Telecommun. Netw. 11(3): 11-22 (2019) - [c26]Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang:
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. ICCV 2019: 3731-3739 - 2018
- [j9]Jinwei Xu, Zhiqiang Liu, Jingfei Jiang, Yong Dou:
High performance robust audio event recognition system based on FPGA platform. Cogn. Syst. Res. 50: 196-205 (2018) - [j8]Jinwei Xu, Zhiqiang Liu, Jingfei Jiang, Yong Dou, Shijie Li:
CaFPGA: An automatic generation model for CNN accelerator. Microprocess. Microsystems 60: 196-206 (2018) - [j7]Huatao Chen, Dengqing Cao, Jingfei Jiang, Xiaoming Fan:
Long Time Behavior and Global Dynamics of Simplified Von Karman Plate Without Rotational Inertia Driven by White Noise. Symmetry 10(8): 315 (2018) - [c25]Keqian Zhu, Jingfei Jiang:
Research on Parallel Acceleration for Deep Learning Inference Based on Many-Core ARM Platform. ACA 2018: 30-41 - [c24]Liang Bai, Jingfei Jiang, Yong Dou:
Research on Acceleration Method of Speech Recognition Training. ACA 2018: 42-50 - [c23]Songpu Huang, Jingfei Jiang, Yong Dou, Liang Bai, Hao Wang, Buyue Qin:
Design and Implementation of Convolutional Neural Network Accelerator with Variable Layer-by-layer Debugging. ICDLT 2018: 1-6 - [c22]Rulin Xu, Chang Gao, Jingfei Jiang:
Study of Multilevel Parallel Algorithm of KPCA for Hyperspectral Images. NCTCS 2018: 99-115 - 2017
- [j6]Jingfei Jiang, Dengqing Cao, Huatao Chen, Kun Zhao:
The vibration transmissibility of a single degree of freedom oscillator with nonlinear fractional order damping. Int. J. Syst. Sci. 48(11): 2379-2393 (2017) - [j5]Zhiqiang Liu, Yong Dou, Jingfei Jiang, Jinwei Xu, Shijie Li, Yongmei Zhou, Yingnan Xu:
Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 10(3): 17:1-17:23 (2017) - [c21]Jingfei Jiang, Zhiqiang Liu, Jinwei Xu, Rongdong Hu:
A Super-Vector Deep Learning Coprocessor with High Performance-Power Ratio. ACIIDS (Extended Posters) 2017: 81-92 - [c20]Ruochun Jin, Jingfei Jiang, Yong Dou:
Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic. ARC 2017: 281-288 - [c19]Jingfei Jiang:
Customized Architecture Technology for High Performance Computing. ETCD@ASPLOS 2017: 9:1 - [c18]Zhiqiang Liu, Yong Dou, Jingfei Jiang, Qiang Wang, Paul Chow:
An FPGA-based processor for training convolutional neural networks. FPT 2017: 207-210 - 2016
- [j4]Tong Zhou, Jingfei Jiang:
Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm. J. Supercomput. 72(11): 4181-4203 (2016) - [j3]Jinwei Xu, Jingfei Jiang, Yong Dou, Xiaolong Shen, Zhiqiang Liu:
Coarse-Grained Architecture for Fingerprint Matching. ACM Trans. Reconfigurable Technol. Syst. 9(2): 12:1-12:15 (2016) - [c17]Zhiqiang Liu, Yong Dou, Jingfei Jiang, Jinwei Xu:
Automatic code generation of convolutional neural networks in FPGA implementation. FPT 2016: 61-68 - [c16]Yang Zhao, Jingfei Jiang, Pengbo Wu:
Improved Survey Propagation on Graphics Processing Units. GPC 2016: 30-41 - 2015
- [j2]Rongdong Hu, Guangming Liu, Jingfei Jiang, Lixin Wang:
G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS. Comput. Math. Methods Medicine 2015: 549026:1-549026:8 (2015) - [c15]Teng Li, Yong Dou, Jingfei Jiang, Yueqing Wang, Qi Lv:
Optimized deep belief networks on CUDA GPUs. IJCNN 2015: 1-8 - 2014
- [c14]Zhiqiang Liu, Jingfei Jiang, Yong Dou, Rongchun Li, Song Guo:
A high throughput K-best detector on FPGA. BlackSeaCom 2014: 92-96 - [c13]Teng Li, Yong Dou, Jingfei Jiang, Jing Gao:
Efficient parallel implementation of morphological operation on GPU and FPGA. SPAC 2014: 430-435 - 2013
- [c12]Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang:
KSwSVR: A New Load Forecasting Method for Efficient Resources Provisioning in Cloud. IEEE SCC 2013: 120-127 - [c11]Jingfei Jiang, Rongdong Hu, Mikel Luján, Yong Dou:
Empirical Evaluation of Fixed-Point Arithmetic for Deep Belief Networks. ARC 2013: 225 - [c10]Jingfei Jiang, Rongdong Hu, Mikel Luján:
Effect of fixed-point arithmetic on deep belief networks (abstract only). FPGA 2013: 273 - [c9]Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang:
CPU Load Prediction Using Support Vector Regression and Kalman Smoother for Cloud. ICDCS Workshops 2013: 88-92 - [c8]Jingfei Jiang, Rongdong Hu, Mikel Luján:
A Flexible Memory Controller Supporting Deep Belief Networks with Fixed-Point Arithmetic. IPDPS Workshops 2013: 144-152 - 2011
- [c7]Hao Zhou, Jingfei Jiang:
Research on Equal Symmetric Distributed Fault-tolerant Architecture and Strategy for Parallel Satellite System. CSE 2011: 121-126 - 2010
- [j1]Yong Dou, Jie Zhou, Guiming Wu, Jingfei Jiang, Yuanwu Lei, Shi-Ce Ni:
A Unified Co-Processor Architecture for Matrix Decomposition. J. Comput. Sci. Technol. 25(4): 874-885 (2010) - [c6]Rongdong Hu, Guangming Liu, Jingfei Jiang:
An Efficient Coding Scheme for Tolerating Double Disk Failures. HPCC 2010: 707-712
2000 – 2009
- 2009
- [c5]Yong Dou, Fei Xia, Jingfei Jiang:
Fine-grained parallel application specific computing for RNA secondary structure prediction using SCFGS on FPGA. CASES 2009: 107-116 - [c4]Guiming Wu, Yong Dou, Yuanwu Lei, Jie Zhou, Miao Wang, Jingfei Jiang:
A Fine-grained Pipelined Implementation of the LINPACK Benchmark on FPGAs. FCCM 2009: 183-190 - 2006
- [c3]Xiaobo Li, Xiangdong Cui, Xiaoqiang Ni, Chiyuan Ma, Jingfei Jiang, Huiping Zhou, Zhou Zhou, Ke Luo, Jiangsha Deng:
A New Computer Architecture Using a New Program Driving Method. ACIS-ICIS 2006: 345-349 - [c2]Xiaobo Li, Ke Luo, Xiangdong Cui, Lalin Jiang, Xiaoqiang Ni, Chiyuan Ma, Jingfei Jiang, Huiping Zhou, Zhou Zhou:
A New Processor Architecture with a New Program Driving Method. CDES 2006: 203-206 - 2003
- [c1]Jingfei Jiang, Xiaoqiang Ni, Minxuan Zhang:
Reconfigurable Cipher Processing Framework and Implementation. APPT 2003: 509-519
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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