杨振国 YANG, Zhenguo

所属学院：
计算机学院

导师类别：
硕士生导师

科研方向：
多模态机器学习、舆情监测、深度学习等

联系方式：
yzg@gdut.edu.cn

硕士招生学院：
计算机学院





个人简述
(限300字)
“青年百人A”，在IEEE TPAMI, ACM TOMM, ACM TOIT, ACM MM, ACM ICMR, WISE等期刊及会议发表多篇论文，主持并参与多项国家级及省部级课题；作为Publication/Publicity Chairs, PC Member参与ACM MM 2020，WISE 2019-2020，ICWL 2016-2020,IEEE DSC 2020,IEEE BigMM 2020等会议；是VLDB Journal, IEEE Transactions on Dependable and Secure Computing, ACM MM等期刊及会议审稿人。
实验室主页: http://www.wislab.cn/
欢迎本科生及研究生同学联系我！


学科领域
科学学位： 0812计算机科学与技术；0835 软件工程
专业学位： 0812计算机科学与技术；0835 软件工程

教育背景
2013-09至2016-09，香港城市大学，计算机科学系，博士
博士生导师：李青教授




工作经历
2019-06至今，广东工业大学，计算机学院，特聘副教授
2016-11-至2019-06，广东工业大学，计算机学院，博士后
合作导师：刘文印教授





主要论文

1. Z. Yang, et al., Shared Multi-view Data Representation for Multi-domain Event Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (CCF A, Top，SCI).
2. Z. Yang, et al., Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). 2020. (CCF B,多媒体领域Top，SCI).
3. Z. Yang, et al., Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data, ACM Transactions on Internet Technology (TOIT), 17, no. 2: 19, 2017. (CCF B, SCI).
4. Z. Yang, et al., MMED: A Multi-domain and Multi-modality Event Dataset, Information Processing & Management, 2020. (CCF B, SCI).
5. Z. Yang, et al., Dual Graph Regularized NMF Model for Social Event Detection from Flickr Data, World Wide Web Journal, 2017. (CCF B, SCI).
6. Z. Yang, et al., Cross-domain and Cross-modality Transfer Learning for Multi-domain and Multi-modality Event Detection, WISE 2017. (CCF C).
7. Y. Li, Z. Yang*（通讯）, X. Chen, H. Yuan, W. Liu*, A Stacking Model Using URL and HTML Features for Phishing Webpage Detection, Future Generation Computer Systems, 2019. (CCF C, SCI).
8. Q. Wang, J. Lai, Z. Yang*, K. Xu, P. Kang, W. Liu*, L. Lei, Improving Cross-dimensional Weighting Pooling with Multi-scale Feature Fusion for Image Retrieval, Neurocomputing, 2019. (CCF B, SCI).
9. K. Xu, Z. Yang*, P. Kang, Q. Wang, W. Liu?, Document-level Attention based BiLSTM-CRF Incorporating Disease Dictionary for Disease Named Entity Recognition, Computers in Biology and Medicine, 2019. (SCI).
10. Z. Lin, F. Huang, Y. Lin, Z. Yang*, W. Liu?, A Deep Stacking Regression Model for Social Image Popularity Prediction, World Wide Web Journal, 2018. (CCF B, SCI).
11. Z. He, Z. He, J. Wu, Z. Yang*, Feature Construction for Posts and Users Combined with LightGBM for Social Media Popularity Prediction, ACM MM, Grand Challenge, 2019. (ACM MM: CCF A).
12. P. Kang, Z. Lin, Z. Yang?, X. Fang, Q. Li and W. Liu*, Deep Semantic Space with Intra-class Low-rank Constraint for Cross-modal Retrieval, ACM ICMR 2019. (CCF B).
13. Z. He, Z. Yang?, X. Mao, J. Lv, Q. Li, W. Liu*, Self-attention StarGAN for Multi-domain Image-to-image Translation, ICANN 2019. (CCF C).
14. Z. Lin, Z. Yang?, et al., Regional Maximum Activations of Convolutions with Attention for Cross-domain Beauty and Personal Care Product Retrieval, ACM MM, Grand Challenge, 2018. (ACM MM: CCF A).
15. L. Li, R. Situ, J. Gao, Z. Yang?, W. Liu*, A Hybrid Model Combining Convolutional Neural Network with XGBoost for Predicting Social Media Popularity, ACM MM, Grand Challenge, 2017. (ACM MM: CCF A).




科研项目
1. 2019-2022，广东省自然科学基金-面上项目，主持
2. 2018-2020，国家自然科学基金-青年项目，主持
3. 2018-2019，中国博士后科学基金-面上项目，主持
4. 2018-2020，国家自然科学基金-重大研究计划，参与
5. 2015-2018，国家自然科学基金-面上项目，参与