Application and algorithms:
[1]Lu Xu, Chen Hu, Kuizhi Mei: Semi-supervised Regression with Manifold:A Bayesian Deep Kernel Learning Approach. Neurocomputing 497: 76-85 (2022)
[2]Lu Xu, Chen Hu, Ji’an Tao, Jianru Xue, Kuizhi Mei：Improve Regression Network on Depth Hand Pose Estimation with Auxiliary Variable，IEEE Trans. Circuits Syst. Video Techn. 31(3): 890-904 (2021)
[3] Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan：Integrating Part of Speech Guidance for Image Captioning, IEEE Trans. Multim. 23:92-104(2021).
[4] 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)
[5] Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan: Exploiting Mid-Level Semantics for Large-Scale Complex Video Classification. IEEE Trans. Multimedia 21(10): 2518-2530 (2019)
[6] 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).
[7] 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)
[8] 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)
[9] 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)
[10] 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)
[11] Kuizhi Mei,Peixiang Dong,Hao Lei,Jianping Fan, A Distributed Approach for Large-Scale Classifier Training and Image Classification, Neurocomputing 144: 304-317 (2014).
[12] 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
[13] 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
[14] 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
[2] Jinyang Zhang, Pengfei Qu, Shenliang Li, Kuizhi Mei and Zhansheng Duan，Colorful Reconstruction from Solid-State-LiDAR and Monocular Version，2021 IEEE International Conference on Real-time Computing and Robotics (RCAR 2021)
[3] Jianyu Yan,Kuizhi Mei,Attention Residual Network with 3D convolutional neural network for 3D Human Pose Estimation., 2021 IEEE International Conference on Real-time Computing and Robotics(RCAR 2021)
[4] Ji'an Tao, Lu Xu, Xinyan Ma, Jianyu Yan and Kuizhi Mei:Scene-Perception Graph Convolutional Networks for Human Action Prediction, International Joint Conference on Neural Networks (IJCNN 2021)
[5] Fan Chang, Jun Cheng, Jianling Yang, Hanting Huang, Kuizhi Mei, Multi-channel signal processing heterogeneous microsystem based on FPGA and Application Processor，2020 IEEE 15th International Conference on Solid-State and Integrated Circuit Technology (ICSICT).
[6]Hejie Yu, Jun Cheng, Xiangnan Zhang, Yuzhe Gao, Kuizhi Mei, Implementation of Convolutional Neural Network with Co-design of High-Level Synthesis and Verilog HDL, 2020 IEEE 15th International Conference on Solid-State and Integrated Circuit Technology (ICSICT).
[7]Ji'An Tao, Lu Xu, Xinyan Ma and Kuizhi Mei: An Efficient System for Predicting Hand-Object Contact Probability Based on RGB Image Sequences, 12th International Conference on Advanced Computational Intelligence (ICACI2020).
[8]Yinqi Li, Lu Xu, Weihua Shu, Ji'An Tao, Kuizhi Mei: AutoGesNet: Auto Gesture Recognition Network Based on Neural Architecture Search, 12th International Conference on Advanced Computational Intelligence (ICACI2020).
[9]Jianyu Yan，Lu Xu，Kuizhi，Mei：Optical Flow Prediction in Auto Driving from Single Image via Conditional Variational AutoEncoder, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI).
[11]Yafei Li, Kuizhi Mei, Xiao Wang, Zeng Zhang, Hejie Yu： Collaborative Implementation of Hardware-Oriented GBDT Compress Algorithm Based on DSP+FPGA, 2019 IEEE International Conference on ASIC (ASICON) 2019: 1-4.
[12]Xiao Wang, Yafei Li, Yinqi Li, Kuizhi Mei: A Novel Compression Algorithm for Hardware-Oriented Gradient Boosting Decision Tree Classification Model. International Conference on Intelligent Computing (ICIC) (3) 2019: 381-391.
[13]Lu Xu, Chen Hu, Yinqi Li, Ji'an Tao, Jianru Xue, Kuizhi Mei: Deep Conditional Variational Estimation for Depth-Based Hand Poses. Automatic Face and Gesture Recognition (FG) 2019: 1-7.
[14]Ji Zhang, Kuizhi Mei, Xiao Wang, Yu Zheng Jianping Fan: From Text to Video: Exploiting Mid-Level Semantics for Large-Scale Video Classification, International Conference on Pattern Recognition (ICPR) 2018.
[15]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.
[16]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.
[17]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.
[18]Peixiang Dong, Kuizhi Mei, Ji Zhang, Hao Lei, Jianping Fan: Task-Driven Image Retrieval Using Geographic Information. MMM (2) 2014: 214-226
[19]Yonglong Zhou, Kuizhi Mei, Xiang Ji, Peixiang Dong: Parallelization and Optimization of SIFT on GPU Using CUDA. HPCC/EUC 2013: 1351-1358
[20]Lei Xie, Kuizhi Mei, Yuhai Li: REPAIR: A Reliable Partial-Redundancy-Based Router in NoC. NAS 2013: 173-177
[21]Hao Lei, Ning Zhou, Kuizhi Mei, Peixiang Dong, Jianping Fan: Constructing Hierarchical Visual Tree for Discriminative Image Representation and Classification. PCM 2013: 637-648
[22]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] 张良，张增，舒伟华，梅魁志，基于YOLOv3的卷积层结构化剪枝，计算机工程与应用, Vol. 57 (6): 131-137,2021
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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] 基于FPGA和行输出优先的卷积神经网络实现方法，ZL201910323955.3.
[2] 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，ZL201910339608X．
[3] 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，ZL201810569188.X.
[4] 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
[5] ARM 二进制代码的NEON 向量化转换设计，ZL201510574950.X
[6] 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
[7] 基于场景识别的触摸屏技术专利，ZL201210065207.8
[8] 支持linux的硬件抽象层的虚拟网卡设计方法，ZL201110175932.6
[9] ARM虚拟机中基于MMU的外设访问控制的实现方法，ZL201110217684.7）
[10] 一种面向嵌入式hypervisor的中断虚拟化操作方法，ZL201110191645.3
[11] 一种面向嵌入式Hypervisor的多视窗显示虚拟化操作方法，ZL201110191642.0
[12] 复用客户操作系统设备驱动的实现方法，ZL 201110255829.2
[13] 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
[14] 矩阵处理器及其指令集和嵌入式系统，ZL201110303919.4。
[15] 一种可重构的视觉前处理器和视觉处理系统，ZL 201210047720.4
[16] 一种用于视频图像的非均匀采样方法，ZL200910021270.x
[17] 一种双总线的视觉信息处理芯片架构，ZL200910021723.9
[18] 一种面向写穿透Cache的SDRAM读写方法 ，ZL200810232131.7
[19] 流输入读取的多媒体扩展指令的设计与实现方法，ZL200610105066.2
[20] 一种基于寄存器组的行程解码与反扫描实现方法，ZL200610042757.2,
[21] 同步流水算术编码器的VLSI实现方法，ZL200410026019.X
[22] 一种0冗余编码时钟的位平面编码器的VLSI实现方法，ZL200410026018.5
[23] 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.
[3] 基于点云配准ICP算法构建K-D树的方法，申请号：201910350982.X.
[4] 一种实时性好的ORB特征点提取的硬件实现方法,申请号：202010341821
[5] 一种基于应用处理器片上总线控制的文件系统写加速方法，申请号：201911319133.4
[6] 一种基于软硬件结合方式的大容量快速 NandFlash 存储实现方法，申请号：202010044024.2
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
(创新港)
