论文与专利

JOURNAL
Application and algorithms
[1] Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan:Exploiting Mid-Level Semantics for Large-Scale Complex Video Classification,IEEE Transactions on Multimedia(accepted)
[2] Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan:Learning multi-layer coarse-to-fine representations for large-scale image classification. Pattern Recognition 91: 175-189 (2019)
[3] Hao Lei, Kuizhi Mei, Jingmin Xin, Peixiang Dong, Jianping Fan, Hierarchical Learning of Large-Margin Metrics for Large-Scale Image Classification, Neurocomputing 208:46-58 (2016).
[4] Kuizhi Mei, Jinye Peng, Ling Gao, Naiquan (Nigel) Zheng, Jianping Fan:Hierarchical Classification of Large-Scale Patient Records for Automatic Treatment Stratification. IEEE J. Biomedical and Health Informatics 19(4): 1234-1245 (2015)
[5] Jianping Fan, Ji Zhang, Kuizhi Mei, Jinye Peng, Ling Gao: Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection. Pattern Recognition 48(5): 1673-1687 (2015)
[6] Kuizhi Mei, Lu Xu, Boliang Li, Bin Lin, Fang Wang:A real-time hand detection system based on multi-feature. Neurocomputing 158: 184-193 (2015)
[7] Kuizhi Mei, Ji Zhang, Guohui Li, Bao Xi, Nanning Zheng, Jianping Fan: Training more discriminative multi-class classifiers for hand detection. Pattern Recognition 48(3): 785-797 (2015)
[8] Kuizhi Mei,Peixiang Dong,Hao Lei,Jianping Fan, A Distributed Approach for Large-Scale Classifier Training and Image Classification, Neurocomputing 144: 304-317 (2014).
[9] Hao Lei, Kuizhi Mei, Nanning Zheng, Peixiang Dong, Ning Zhou, Jianping Fan: Learning group-based dictionaries for discriminative image representation. Pattern Recognition 47(2): 899-913 (2014) SCI
[10] Peixiang Dong, Kuizhi Mei, Nanning Zheng, Hao Lei, Jianping Fan: Training inter-related classifiers for automatic image classification and annotation. Pattern Recognition 46(5): 1382-1395 (2013) SCI
[11] Kuizhi Mei, Sheng Feng, Guohui Li, Wenlong Chou, Lei Zhang: A virtual touch event method using scene recognition for digital television. IEEE Trans. Consumer Electronics 59(1): 214-219 (2013) SCI
VLSI and multi-processor SoC
[1] Bin Zhang, Chen Zhao, Kuizhi Mei, Jizhong Zhao, Nanning Zheng:Hierarchical and Parallel Pipelined Heterogeneous SoC for Embedded Vision Processing. IEEE Trans. Circuits Syst. Video Techn.28(6): 1434-1444 (2018)
[2] Yuhai Li, Kuizhi Mei, Yuehu Liu:Improving the Area Efficiency of ACO-Based Routing by Directional Pheromone in Large-Scale NoCs, Microprocessors and Microsystems - Embedded Hardware Design 45: 81-94 (2016).
[3] Bin Zhang, Kuizhi Mei, Jizhong Zhao:Matrix computing coprocessor for an embedded system. Microprocessors and Microsystems - Embedded Hardware Design 39(7): 444-456 (2015)
[4] Bin Zhang, Kuizhi Mei, Nanning Zheng:Coarse-grained Dynamically Reconfigurable Processor for Vision Pre-Processing. Signal Processing Systems 79(1): 45-61 (2015)
[5] Yuhai Li,Kuizhi Mei, Yuehu Liu, Nanning Zheng, Yi Xu:Application-driven dynamic bandwidth allocation for two-layer network-on-chip design,Computers and Electrical Engineering, 40(8):317-332(2014) SCI
[6] Yuhai Li, Kuizhi Mei, Yuehu Liu,Nanning Zheng,Yi Xu, LDBR: Low-Deflection Bufferless Router for Cost-Sensitive Network-on-Chip Design, Microprocessors and Microsystems - Embedded Hardware Design 38(7): 669-680 (2014). SCI
[7] Chen Zhao, Kuizhi Mei, Nanning Zheng: Design of write merging and read prefetching buffer in DRAM controller for embedded processor. Microprocessors and Microsystems - Embedded Hardware Design 38(5): 451-457 (2014) SCI
[8] Bin Zhang, Kuizhi Mei, Nanning Zheng: Reconfigurable Processor for Binary Image Processing. IEEE Trans. Circuits Syst. Video Techn. 23(5): 823-831 (2013) SCI
[9] Yuhai Li, Kuizhi Mei and Peixiang Dong, “An Efficient and Low Memory Requirement Algorithm for Extracting Image Component Information”, pp.255-267, Vol.3 No. 2, July 2011, International Journal of Advanced Intelligence.
[10] Kuizhi Mei, Bin Zhang and Chenyang Ge, A Hierarchical and Parallel SoC Architecture for Vision Processor, IEICE Electronics Express, Vol. 6, No.19, pp:1380-1386,Oct. 10 2009. SCI
[11] K. Mei, N. Zheng, C. Huang, Y. Liu, and Q. Zeng, “VLSI Design of A High-Speed and Area-Efficient JPEG2000 Encoder,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 8, pp:1065-1078, Aug. 2007. SCI
[12] K. Mei, N. Zheng and Huub van de Wetering, High-speed and Memory-efficient VLSI design of 2D DWT for JPEG2000, Electronics Letters, Vol. 42 No.16. Pages:907-908. Aug. 2006. SCI
Conference
[1] Li Yafei, Wang Xiao, Zhang Zen, Yu Hejie, Mei Kuizhi, Collaborative Implementation of Hardware-Oriented GBDT Compress Algorithm Based on DSP+FPGA, IEEE ASICON 2019(accepted).
[2] Xiao Wang, Yafei Li, Yinqi Li, Kuizhi Mei: A Novel Compression Algorithm for Hardware-Oriented Gradient Boosting Decision Tree Classification Model. ICIC (3) 2019: 381-391.
[3] Lu Xu, Chen Hu, Yinqi Li, Ji'an Tao, Jianru Xue, Kuizhi Mei: Deep Conditional Variational Estimation for Depth-Based Hand Poses. FG 2019: 1-7.
[4] Ji Zhang, Kuizhi Mei, Xiao Wang, Yu Zheng Jianping Fan: From Text to Video: Exploiting Mid-Level Semantics for Large-Scale Video Classification, ICPR 2018.
[5] Haibo Zhao, Fei Zheng, Jian Wu, Baosong Nan, Boliang Li, Kuizhi Mei: Automatic Parallelization for Binary on Multi-core Platforms,The 2nd International Conference on Computer Science and Application Engineering 2018.
[6] Xu L, Zhang L, Wang K, et al. An efficient fast hand tracking approach based on segmentation[C]. Chinese Association of Automation (YAC), Youth Academic Annual Conference of. IEEE, 2016: 19-24.
[7] Ji Zhang, Kuizhi Mei*, Jianping Fan, Learning Multi-Layer Coarse-to-Fine Representations for Over 10,000 Image Categories, 2016, KDD workshop on Large-Scale Deep Learning on Data Mining.
[8] Peixiang Dong, Kuizhi Mei, Ji Zhang, Hao Lei, Jianping Fan: Task-Driven Image Retrieval Using Geographic Information. MMM (2) 2014: 214-226
[9] Yonglong Zhou, Kuizhi Mei, Xiang Ji, Peixiang Dong: Parallelization and Optimization of SIFT on GPU Using CUDA. HPCC/EUC 2013: 1351-1358
[10] Lei Xie, Kuizhi Mei, Yuhai Li: REPAIR: A Reliable Partial-Redundancy-Based Router in NoC. NAS 2013: 173-177
[11] Hao Lei, Ning Zhou, Kuizhi Mei, Peixiang Dong, Jianping Fan: Constructing Hierarchical Visual Tree for Discriminative Image Representation and Classification. PCM 2013: 637-648
[12] Li Yuhai, Xie Lei, Mei Kuizhi and Liu Yuehu, “R+S: an application-specific hybrid on-chip network based on self-adaptive optimization for communication”, 2012 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2012).
中文期刊
[1] 高榕,张良,梅魁志,基于Caffe的嵌入式多核处理器深度学习框架并行实现,西安交通大学学报,Vol 52 No.6(2018.06),36-41.
[2] 王锟, 宋永红, 郑斐, 梅魁志. 基于卷积神经网络的嵌入式手势检测算法. 计算机工程与应用. 2019 Vol. 55 (4): 137-141.
[3] 仲济源,梅魁志,温哲西, GIST特征提取的异构并发流计算实现,计算机工程与应用,2015,51(6):139-144.
[4] 崔继岳,梅魁志,刘冬冬,李博良,面向OpenCL的Mali GPU仿真器构建研究,西安交通大学学报,Vol 49 No.2(2015.02),20-24.
[5] 丑文龙,梅魁志,高增辉,李博良,ARM GPU的多任务调度设计与实现,西安交通大学学报,Vol.48 No.12 (2014.12),87-92.

国家发明专利授权
[1] 一种针对多核平台的二进制程序自动并行化的设计方法,ZL201510657166.5
[2] ARM 二进制代码的NEON 向量化转换设计,ZL201510574950.X
[3] 基于共享弱分类器组合的人手分类器以及训练和检测方法,ZL201410351088.1
[4] 基于场景识别的触摸屏技术专利,ZL201210065207.8
[5] 支持linux的硬件抽象层的虚拟网卡设计方法,ZL201110175932.6
[6] ARM虚拟机中基于MMU的外设访问控制的实现方法,ZL201110217684.7)
[7] 一种面向嵌入式hypervisor的中断虚拟化操作方法,ZL201110191645.3
[8] 一种面向嵌入式Hypervisor的多视窗显示虚拟化操作方法,ZL201110191642.0
[9] 复用客户操作系统设备驱动的实现方法,ZL 201110255829.2
[10] 可重构二值运算器、可重构二值图像处理系统及其实现基本形态学算法的方法,ZL201110252219.7
[11] 矩阵处理器及其指令集和嵌入式系统,ZL201110303919.4。
[12] 一种可重构的视觉前处理器和视觉处理系统,ZL 201210047720.4
[13] 一种用于视频图像的非均匀采样方法,ZL200910021270.x
[14] 一种双总线的视觉信息处理芯片架构,ZL200910021723.9
[15] 一种面向写穿透Cache的SDRAM读写方法 ,ZL200810232131.7
[16] 流输入读取的多媒体扩展指令的设计与实现方法,ZL200610105066.2
[17] 一种基于寄存器组的行程解码与反扫描实现方法,ZL200610042757.2,
[18] 同步流水算术编码器的VLSI实现方法,ZL200410026019.X
[19] 一种0冗余编码时钟的位平面编码器的VLSI实现方法,ZL200410026018.5
[20] 内在并行的二维离散小波变换的VLSI结构设计方法,ZL03114602.3
国家发明专利申请
[1] 一种面向硬件实现的GBDT分类模型压缩方法,申请号:201710892740.4.
[2] 一种适用于专用处理器实时控制的软件编程模式及其汇编链接方法,申请号:201810569188.X.
[3] 基于FPGA和行输出优先的卷积神经网络实现方法,申请号:201910323955.3.
[4] 一种针对卷积层的神经网络结构化剪枝压缩优化方法,申请号:2019102186525.
[5] 卷积神经网络全连接层稀疏的权值矩阵的压缩方法及系统,申请号:201910339608X.
[6] 基于点云配准ICP算法构建K-D树的方法,申请号:201910350982.X.
PCT申请
[1] 一种集成第三方图形库到操作系统中的方法,申请号PCT/CN2012/072868
[2] Method of Scene Recognition Based Virtual Touch Event,申请号PCT/CN2012/073434

 

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