葡京3522新地址

张桦 

副教授

硕士生导师

计算机科学与技术

图像和视频处理,嵌入式系统设计

Email
zhangh@hdu.edu.cn
Address
杭州电子科技大学下沙校区1教505

博士,杭州电子科技大学副教授,中国计算机学会会员。主要研究领域包括三维视频编解码、图像质量评价、嵌入式系统设计等。获校第九届青年教师教学技能竞赛特等奖。主持国家自然科学基金面上科学基金项目1项,浙江省自然科学基金一般项目1项,浙江省重点研发项目2项,浙江省重点创新团队子课题1项,并以主要参与者的身份先后参加科技部国际科技合作项目、863课题子项目、浙江省重点研发项目、浙江省自然科学基金重点项目等。与企业合作完成包括计算机视觉、工业物联网、人工智能等多项产学研合作项目。在国内外重要期刊和会议上发表高水平论文20余篇,其中CCF RANC A会议1篇,SCI收录4篇,申请授权发明专利20多项,其中完成转化2项。

[1] Wenhui Zhou, Hua Zhang(共同一作), Zhengmao Yan, Weisheng Wang, Lili Lin, DecoupledPoseNet: Cascade Decoupled Pose Learning for Unsupervised Camera Ego-motion Estimation[J], IEEE Transactions on Multimedia 2022,1-3;DOI: 10.1109/TMM.2022.3144958(SCI一区,IF=6.513)

[2] Hengrun Zhao, Bolun Zheng∗, Shanxin Yuan, Hua Zhang∗(共同通信), Chenggang Yan, Liang Li, Gregory Slabaugh,CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement[J],in IEEE Transactions on Circuits and Systems for Video Technology 2021, doi: 10.1109/TCSVT.2021.3123621.(SCI一区,IF=4.685)

[3] Hua Zhang, Xinwen Hu, Ruoyun Gou, Lingjun Zhang, Bolun Zheng and Zhuonan Shen,Rich Structural Index for Stereoscopic Image Quality Assessment[J], Sensors 2022, 22(2), 499; https://doi.org/10.3390/s22020499(SCI二区,IF=3.576)

[4] Hua Zhang, Ruoyun Gou, Jili Shang , Fangyao Shen , Yifan Wu * and Guojun Dai, Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition[J]. Frontiers In Physiology, 2021, 12. doi: 10.3389/fphys.2021.643202(SCI二区,IF=4.566)

[5] Wenhui Zhou, Gaomin Liu, Jiangwei Shi, Hua Zhang*(通信作者), Guojun Dai. Depth-guided view synthesis for light field reconstruction from a single image[J]. Image and Vision Computing, 2020, 95: 0-103874.(SCI二区,IF=2.28)

[6] Hua Zhang*, Wangze Yao, Hongfei Huang, Yifan Wu, Guojun Dai. Adaptive coding unit size convolutional neural network for fast 3D-HEVC depth map intracoding[J], Journal of Electronic Imaging, 2021, 30(4). DOI:10.1117/1.JEI.30.4.041405(SCI四区,IF=0.945)

[7] 张桦沈菲蒋世豪张灵均徐宏,集成加权软投票的众包真值推理方法[J], 清华大学学报 (自然科学版),2021,4,DOI:10.16511/j.cnki.qhdxxb.2021.22.015

[8] Wangze Yao,Hongfei Huang, ZhengXuan Wu,Hua Zhang*,Intra-frame fast coding algorithm for 3D-HEVC depth map based on two-dimensional entropy and variance[C]// 5th IEEE Advanced Information Technology, Electronic and Automation Control Conference( IAEAC). IEEE, 2021

[9] Hong Zeng; Zhenhua Wu, Jiaming Zhang, Chen Yang; Hua Zhang, Guojun Dai, Wanzeng Kong. EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model[J]. Brain Sciences, 2019, 9(11).

[10] Meixiang Dai, Guojun Dai, Yifan Wu, Yixing Xia, Fangyao Shen, Hua Zhang*. An Improved Feature Fusion for Speaker Recognition[C]// 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC). IEEE, 2019.

[11] Jinmao Huang, Guojun Dai, Yifan Wu, Hua Zhang*, Jiankai Shi. An IoT-Supported Small-Scale Liquefied Natural Gas Distribution System Using Tank Trucks in Local Areas[C]// 2019 IEEE 2nd International Conference on Electronics Technology (ICET). IEEE, 2019.

[12] Hong Zeng, Chen Yang, Hua Zhang, Zhenhua Wu, Jiaming Zhang, Guojun Dai, Babiloni Fabio, Wanzeng Kong. A LightGBM-Based EEG Analysis Method for Driver Mental States Classification[J]. Computational Intelligence and Neuroscience, 2019, 2019(4):1-11.

[13] Shifang Yu, Guojun Dai, Hua Zhang*, Hongfei Huang.Complexity Reduction for Depth Map Coding in 3D-HEVC[C]//Chinese conference on pattern recognition and computer vision.2019

[14] Wei Zhu*, Yao Yi, Hanyu Zhang, Peng Chen, Hua Zhang, Fast mode decision algorithm for HEVC intra coding based on texture partition and direction, Journal of Real-time Image Processing, 2018, DOI 10.1007/s11554-018-0766-z.

[15] Renbin Yang, Guojun Dai, Hua Zhang*, Wenhui Zhou, Shifang Yu, and Jie Feng, Fast Depth Intra Mode Decision Based On DCT In 3D-HEVC, PRCV 2018, Guangzhou, P.R. China, 2018.11.23-11.26.

[16] Wenhui Zhou, Linkai Liang, Hua Zhang, Andrew Lumsdaine, Lili Lin, Scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation, ICPR 2018, Beijing, P.R. China, 2018.8. 20-8.24.

[17] Yaoxiang Luo, Wenhui Zhou*, Junpeng Fang, Linkai Liang, Hua Zhang, Guojun Dai, EPI-Patch Based Convolution Neural Network for Depth Estimation on 4D Light Field, International Conference on Neural Information Processing, ICONIP 2017, Guangzhou, P.R. China, 2017.11.14-11.18.

[18] Wenhui Zhou,Yu Wang,Hua Zhang*,GuoJun Dai, 3D-SUSAN: A Robust Extension of 2D SUSAN Operator for 3D Interest Points Detection, The 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017, Shanghai, P.R. China, 2017.10.14-10.16.

[19] Ningkai Yang, Guojun Dai, Wenhui Zhou, Hua Zhang*, Renbin Yang. Distributed compressive sensing for light field reconstruction using structured random matrix, CCF Chinese Conference on Computer Vision, CCCV 2017, Springer, Berlin, Heidelberg, 2017.10.14-10.17.

[20] Yidan Hu, Jin Fan*, Hua Zhang, Xinxin Chen, Guojun Dai, An estimated method of urban PM2.5 concentration distribution for a mobile sensing system. Pervasive & Mobile Computing, 2016, 25: 88-103.

[21] Yidan Hu, Guojun Dai, Jin Fan, Yifan Wu, Hua Zhang*, BlueAer: A fine-grained urban PM2.5 3D monitoring system using mobile sensing, The 35th Annual IEEE International Conference on Computer Communications, INFOCOM 2016, San Francisco, CA, USA, 2016.4.10-4.15

[22] Fangyao Shen, Guojun Dai, Hongjie Guo, and Hua Zhang*, CTR prediction for online advertising with improved LR model, the Third International Conference on Cognitive Systems and Information Processing, ICCSIP 2016, Beijing, P.R. China, 2016.9.19-9.23

[23] 朱威,张训华,王财盛,张桦. 基于时空相关性的HEVC帧间模式决策快速算法. 通信学报,2016,37(4):64-73

[24] Xinxin Chen, Hua Zhang*, Wenhui Zhou,Guojun Dai. A Fast Hadamard Transform for Demultiplexed Illumination in the 3D Capture System. 2015 8th International Congress on Image and Signal Processing, CISP 2015, Shenyang, P.R. China, 2015.10.14-10.16

[25] Xunhua Zhang, Wei Zhu, Caisheng Wang, Hua Zhang. A Fast Coding Tree Unit Depth Predictionfor HEVC, 2015 8th International Congress on Image and Signal Processing(CISP 2015), 2015, pp114-118.

[26] Jing Wang, Xue-hui Wei, Hua Zhang, Wen-hui Zhou, Zhi-hai Sun. Saturation Quality Assessment Model of StereoscopicImage Base on GaussianWhite Noise, IEEE Conference PublishingInstitute of Computer Application Technology, 2015, pp122-125.

戴国骏,商吉利,沈方瑶,胡焰焰,张桦,基于注意力机制和卷积神经网络的语音抑郁症识别系统,2021,中国,ZL201811343483.X

[1] 张桦,黄鸿飞,於世芳,姚王泽,吴以凡,戴国骏,基于DWT的3D-HEVC快速CU分割预测方法,2021,中国,ZL 201910744353.5

[2] 张桦,黄鸿飞,於世芳,姚王泽,吴以凡,戴国骏,基于DWT的3D-HEVC快速DMM预测决策方法,2021,中国,ZL 201910744849.2

[3] 张桦,陶星,戴美想,戴国骏,刘高敏,一种基于卷积神经网络的细粒度服装的属性识别方法,2021,中国,ZL201811343657.2

[4] 杨铭凯,张桦,沈菲,项雷雷,吴以凡,戴国骏,一种基于自学习的自动焊接及缺陷检测方法,2021,中国,ZL201910795988.8

[5] 戴国骏,刘高敏,张桦,周文晖,陶星,戴美想,基于卷积神经网络的单目光场图像无监督深度估计方法,2021,中国,201910276356.0

[6] 戴国骏,赵骏,史建凯,张桦,吴以凡,智能家居系统中基于哈希算法的终端网关负载分配方法,2021,中国,ZL201811388232.3

[7] 仇建,胡焰焰,沈方瑶,商吉利,张桦,吴以凡,戴国骏,一种基于样本权值分配和深度学习的人脸表情识别方法,2021,中国,ZL201910388826.2

[8] 张桦,杨仁彬,戴国骏,於世芳,陶星,赵骏,基于DCT的3D-HEVC快速帧内预测决策方法,2020,中国,ZL201711337701.4

[9] 张桦,王彧,周文晖,阳宁凯,吴以凡,戴国骏,基于3D-SUSAN算子的三维模型感兴趣点提取方法,2020,中国,ZL201611260181.7

[10] 张桦,张悦,戴国骏,沈方瑶,赵月,周文晖,一种基于加权梯度幅度的双目融合立体图像质量评价方法,2020,中国,ZL201910030015.5

[11] 张桦,沈方瑶,阳宁凯,王彧,吴以凡,戴国骏,一种基于字典学习和人眼视觉特性的立体图像质量客观测量方法,2020,中国,ZL201611078458.4

[12] 张桦,严嘉浩,戴国骏,吴以凡,沈芳瑶,一种拉力赛车手操作预测和路书辅助生成系统及实现方法,2020,中国,ZL201810148521.X

[13] 张桦,方俊鹏,蔡业胜,商吉利,戴国骏,一种自动钢琴控制装置及方法,2020,中国,ZL201710299075.8

[14] 吴以凡,赵月,张桦,戴国骏,史建凯,一种基于卷积神经网络的古字体分类方法,2020,中国,ZL201811487296.9

[15] 吴以凡,陈帅,张桦,戴国骏,赵一,林夕,一种aop拦截式HBase数据存储微服务架构构建方法,2020,中国,ZL201711429501.1

[16] 潘蕾全,吴以凡,方俊鹏,张桦,戴国骏,一种自动钢琴演奏系统中多音轨MIDI文件的演奏方法,2019,中国,ZL201610627686.6

[17] 戴国骏,李成麒,方俊鹏,罗姚翔,王华忠,张桦,一种易拓展数据传输装置,2019,中国,ZL201610627507.9

[18] 张桦,项璐露,阳宁凯,戴国骏,吴以凡,一种基于边缘复杂度的三维视频编码深度图内部模式选择方法,2018,中国,ZL201610162205.9

[19] 张桦,戈豪豪,高申勇,戴国骏,沈方瑶,一种基于外极线距离变换的树型滤波立体匹配方法, 2018,中国,ZL201610147363.7

[20] 张桦、郭鸿杰、樊谨、陈欣欣、胡译丹、戴国骏,基于无人机的PM2.5浓度采集装置和数据过滤方法,2017,中国,ZL201510320697.5

[21] 张桦、郭燚平、孙志海、周文晖、戴国骏,一种基于先验分析的迭代式车牌字符分割方法,2013,中国,ZL201110166841.6.

[1] 国家重点研发计划-国际合作项目,2017YFE0118200,基于脑电的安全驾驶预警仿真平台关键技术研究,2018/12-2022/12,391万元,在研,参加

[2] 浙江省科技计划项目-重点研发计划,2019C01124,传统产业智能融合技术研究及应用-敏捷柔性电子装配智能生产线关键技术研究和开发,2019/01-2021/12,120万元,在研,主持

[3] 国家自然科学基金面上项目,61471150,表面不规则场景的光场非均匀采集方法研究,2015/01-2018/12,83万元,已结题,主持

[4] 浙江省重点研发计划项目,2018C01113,高压大电流智能连接器的关键技术研究,2017/01-2019/12,104万元,已结题,参加

[5] 国家高技术研究发展计划(863计划)子课题,2015AA015901,基于光场的真三维视频采集和生成,2015/01-2017/12,75.2万元,已结题,参加

[6] 国家国际科技合作专项项目,2014DFA12040,低剂量X射线三维成像关键技术及装置研究,2014/04-2017/04, 164万元,已结题,参加

[7] 浙江省重点科技创新团队子项目,2011R50009-4,三维视频编码及传输关键技术研究和系统示范,2012/01-2015/12,20万元,已结题,主持

[8] 浙江省自然科学基金,Y1100803,自适应视频编码质量控制技术研究,2011.01至2013.12,10万元,已结题,主持

  • 1.   张华(4/9)“智能健康的脑机协作智能关键技术与应用”获2018年浙江省人民政府科技进步研究奖。

    2.   2016年第九届杭州电子科技大学青年教师教学技能大赛优秀奖

    3.   2016年杭州电子科技大学计算机学院优秀员工奖。