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张志宏

岗位类型:培训 服务行业:科研院所 专业特长:深度学习,人工智能 上线日期:21-10-31 10:54 人气:
专家介绍
  

中国电工技术学会高级会员、能源智慧化专业委员会委员
厦门大学信息学院副教授,博士生导师
Ph.D. 英国约克大学计算机学院 (最佳博士论文)2013.03

研究方向:

教育背景
Ph.D. 英国约克大学计算机学院 (最佳博士论文)2013.03
B.S. 英国阿尔斯特大学计算机学院(First Class Honour) 2009.06

工作经历
2019.06 - 至今 厦门大学信息学院 副教授
2016.08 - 至2019.06 厦门大学软件学院 副教授
2013.07 - 2016.07 厦门大学软件学院 助理教授

研究领域
深度学习,人工智能,复杂网络表示学习,医学图像处理,人脸识别

演讲/授课
深度学习技术,模式识别,多媒体数据库,虚拟现实技术与应用

科研项目
1. 61402389,基于图结构的消化道超声内镜图像分类算法研究,国家自然科学基金,25万,2015.01-2017.12,课题负责人

2. 基于特征向量建立微探头超声内镜消化系统早癌图像分类识别系统,福建省自然科学基金面上项目,10万,2015.04-2018.04, 课题负责人

3. 基于大数据分析的国网西安数据中心能效诊断系统平台的研究及应用,国网陕西省电力公司信息通信公司科技项目,97.5万,2019.07-2020.06,课题负责人

获奖状况
1. 2017年入选厦门市重点人才。

2. 2015年入选厦门市第七批高层次人才项目“双百计划”。

3. 2015年获得国际图像处理重要会议ICIAP 2015最佳论文奖“Eduardo Caianiello”

4. 2018年获得国际模式识别重要会议ICPR 2018最佳论文奖“Best Scientific Paper Award”

近期发表文章
迄今以第一作者及通讯作者在国际重要学术期刊和会议发表文章超过40篇,部分成果发表在机器学习领域顶级会议ICML、ECML-PKDD,人工智能领域顶级会议IJCAI,机器视觉领域顶级会议ICCV、ECCV、BMVC,模式识别领域著名期刊Pattern Recognition,多媒体信息处理领域顶级期刊IEEE Transactions on Multimedia,图像处理领域顶级期刊IEEE Transactions on Image Processing。

以下是最近3年(2016-2019)年度发表的论文列表:

期刊论文:

1. Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo and Edwin Hancock, Face Frontalization using Appearance Flow based Convolutional Neural Network, IEEE Transactions on Image Processing, 2018. (CCF A类期刊,IF:6.79)

2. Zhihong Zhang, Dongdong Chen, Zeli Wang, Lu Bai, Heng Li and Edwin Hancock, Depth-based Subgraph Convolutional Auto-Encoder for Network Representation Learning, Pattern Recognition,2018. (JCR二区期刊,IF:5.898)

3. Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai and Edwin Hancock, Quantum-based Subgraph Convolutional Neural Networks, Pattern Recognition,2018. (JCR二区期刊,IF:5.898)

4. Jinhui Chen, Zhihong Zhang (通讯作者) et al. Polar Transformation on Image Features for Orientation-Invariant Representations, IEEE Transactions on Multimedia, 2018. (JCR二区期刊,IF:5.452)

5. Xu Chen, Zhihong Zhang (通讯作者) et al. A Graph-based Approach to Automated EUS Image Layer Segmentation and Abnormal Region Detection, Neurocomputing, 2018. (JCR二区期刊,IF:4.072)

6. Xu Chen, Zhihong Zhang (通讯作者), Beizhan Wang, Guosheng Hu and Edwin Hancock, Recovering Variations in Facial Albedo from Low Resolution Images, Pattern Recognition, 2017. (JCR二区期刊,IF:5.898)

7. Zhihong Zhang, Lu Bai, Yuanheng Liang and Edwin Hancock, Joint Hypergraph Learning and Sparse Regression for Feature Selection, Pattern Recognition,2016. (JCR二区期刊,IF:5.898)

8. Zhihong Zhang, Chen Xu, et al. Single Image Super Resolution via Neighbor Reconstruction, Pattern Recognition Letters,2019. ( JCR三区期刊,IF: 2.81)

9. Zhihong Zhang, Gengzhou Zhang, et al. Structural network inference from time-series data using a generative model and transfer entropy, Pattern Recognition Letters,2019. ( JCR三区期刊,IF: 2.81)

10. Zhihong Zhang,Lu Bai,Yiyang Tian,Jianbing Xiahou,Edwin Hancock, High-order Covariate Interacted Lasso for Feature Selection, Pattern Recognition Letters,2016. ( JCR三区期刊,IF: 2.81)

11. Lu Bai, Luca Rossi, Zhihong Zhang (通讯作者), Lixin Cui, Peng Ren, Xiao Bai, Edwin Hancock, Quantum Kernels for Unattributed Graphs using Discrete-time Quantum Walks, Pattern Recognition Letters,2016. ( JCR三区期刊,IF: 2.81)


会议论文:

1. Chuanyu Xu, Zhihong Zhang (通讯作者) et al. Depth-based Subgraph Convolutional Neural Networks, in Proceedings ICPR 2018. (ICPR Best Scientific Paper Award)

2. Zhiling Ye, Zhihong Zhang (通讯作者) et al. A Unified Neighbor Reconstruction Method for Embeddings, in Proceedings ICPR 2018.

3. Yangbin Zeng, Zhihong Zhang (通讯作者) et al. Directed Network Analysis using Transfer Entropy Component Analysis, in Proceedings S+SSPR 2018.

4. Zhiling Ye, Zhihong Zhang (通讯作者) et al. Single Image Super Resolution via Neighbor Reconstruction, in Proceedings S+SSPR 2018.

5. Guosheng Hu, Zhihong Zhang, etc. Attribute-Enhanced Face Recognition with Neural Tensor Fusion Network. In ICCV 2017

6. Bingbing, Han, Zhihong Zhang, etc. Deep Face Model Compression Using Entropy-based Filter Selection. in Proceedings ICIAP 2017.

7. Lu Bai, Zhihong Zhang (通讯作者), C Wang, X Bai and Edwin Hancock. A Graph Kernel Based on the Jensen-Shannon Representation Alignment. In Proceedings of IJCAI, 3322-3328, 2015. (CCF推荐A类会议)

8. Lu Bai, L Rossi, Zhihong Zhang (通讯作者) and Edwin Hancock. An Aligned Subtree Kernel for Weighted Graphs. In Proceedings of ICML, 30-39, 2015. (CCF推荐A类会议)

9. Zhihong Zhang, Yiping Zhang, Guosheng Hu, Edwin Hancock. Face Image Super-resolution Via Weighted Patches Regression, In Proceedings of ICPR, 2016.

10. Lu Bai, Zhihong Zhang (通讯作者), L Rossi and Edwin Hancock. A High-Order Depth-Based Graph Matching Method,《16-th International Conference on Computer Analysis of Images and Patterns》,9256,1,465-476,2015

11. Zhihong Zhang, Lu Bai, Yuanheng Liang and Edwin Hancock. Adaptive Graph Learning for Unsupervised Feature Selection,《16th International Conference on Computer Analysis of Images and Patterns》,9256,790-800,2015

12. Zhihong Zhang, Lu Bai, Yuanheng Liang and Edwin Hancock. Unsupervised Feature Selection by Graph Optimization ,《18th International Conference on Image Analysis and Processing》,9279,130-140,2015

13. Zhihong Zhang, Lu Bai, Yuanheng Liang and Edwin Hancock. Unsupervised feature selection by joint graph learning,《2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)》,554-558,2015

14. Zhihong Zhang, Lu Bai, Yuanheng Liang and Edwin Hancock. Coupled-Feature Hypergraph Representation for Feature Selection,《10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition》,9069,1,44-53,2015

15. Lu Bai, Zhihong Zhang (通讯作者), L Rossi and Edwin Hancock. A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks,《10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition》,9069,1,252-261,2015.
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