hg8868皇冠官方(中国)有限公司

管子玉

职称：教授/博士生导师/硕士生导师

个人简历：

2004年于浙江大学取得计算机科学与技术学士学位，2010年于浙江大学取得计算机科学与技术博士学位。2010-2012年于美国加州大学圣芭芭拉分校从事博士后研究工作。2012年进入hg8868皇冠官方工作。2015年度国家优秀青年科学基金获得者，2016年获陕西省青年科技新星称号。担任国际重要SCI期刊Neurocomputing和Journal of Machine Learning and Cybernetics的编委，为IEEE TKDE、IEEE TNNLS、IEEE T-Cybernetics、ACM TKDD等期刊提供审稿服务，并担任SIGKDD、IJCAI、AAAI、NIPS等国际知名学术会议程序委员会委员，是国际会议环太平洋多媒体会议PCM 2016的组织主席。 (Ziyu Guan is currently a full professor in the Northwest University of China. He received the BS and PhD degrees in Computer Science from Zhejiang University in 2004 and 2010, respectively. His research directions include machine learning, data mining and pattern recognition. He has published nearly 30 high quality papers in top international journals/conferences, such as IEEE TKDE, VLDB, SIGMOD, SIGIR, WWW, AAAI, IJCAI and SIGKDD. In 2015, he received the National Excellent Youth Science Foundation of NSFC. He is currently an associated editor for Neurocomputing, and the International Journal of Machine Learning and Cybernetics. He has served (or is serving) in the program committees of related high level international conferences, e.g. SIGKDD, IJCAI, AAAI, NIPS. He was the co-organizing chair of PCM 2016.)

科研成果：

Selected publications

Book chapters

1. Ziyu Guan, and Xifeng Yan. Measuring Structural Correlations in Graphs. Computational Network Theory: Theoretical Foundations and Applications, pp. 29-75, 2015.

Journal papers

2. Wei Zhao, Ziyu Guan (corresponding author), Long Chen, Xiaofei He, Deng Cai, Beidou Wang, Quan Wang. Weakly-supervised Deep Embedding for Product Review Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, online preprint, 2017.

3. Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He. Heterogeneous hypergraph embedding for document recommendation. Neurocomputing, Vol. 216, pages 150-162, 2016.

4. Wei Zhao, Zheng Liu, Ziyu Guan (corresponding author), Binbin Lin, Deng Cai. Orthogonal Projective Sparse Coding for Image Representation. Neurocomputing, Vol 173, pages 270-277, 2016.

5. Ziyu Guan, Lijun Zhang, Jinye Peng, Jianping Fan. Multi-view Concept Learning for Data Representation. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 11, pages 3016-3028, 2015.

6. Ziyu Guan, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Xifeng Yan. Fine-Grained Knowledge Sharing in Collaborative Environments. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 8, pages 2163-2174, 2015.

7. Wei Zhao, Ziyu Guan (corresponding author), Zheng Liu. Ranking on heterogeneous manifolds for tag recommendation in social tagging services. Neurocomputing, Vol. 148, pages 521-534, 2015.

8. Shulong Tan, Yang Li, Huan Sun, Ziyu Guan (corresponding author), Xifeng Yan, Jiajun Bu, Chun Chen, Xiaofei He. Interpreting the public sentiment variations on twitter. IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 5, pages 1158-1170, 2014.

9. Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai. Co-Occurrence Based Diffusion for Expert Search on the Web. IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 5, pages 1001-1014, 2013

10. Jian Wu, Ziyu Guan, Qing Zhang, Ambuj Singh, Xifeng Yan. Static and Dynamic Structural Correlations in Graphs. IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 9, pages 2147-2160, 2013.

11. Longfei Zhang, Ziyu Guan, Alexander Hauptmann. The co-attention model for tiny activity analysis. Neurocomputing, Vol. 105, pages 51-60, 2013.

12. Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan. Image representation using Laplacian regularized nonnegative tensor factorization. Pattern Recognition, Vol. 44, Issues 10-11, 2011.

13. Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen. Efficient Face Recognition Using Tensor Subspace Regression. Neurocomputing, Vol. 73, Issues 13-15, 2010.

14. Can Wang, Ziyu Guan, Chun Chen, Jiajun Bu, Junfeng Wang and Huaizhong Lin. On-line Topical Importance Estimation: An effective focused crawling algorithm combining link and content analysis. Journal of Zhejiang University, Vol. 10, No. 8, 2009.

Conference papers

15. Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. Substructure Assembling Network for Graph Classification. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), accepted, 2018.

16. Jie Zhao, Yu Su, Ziyu Guan, Huan Sun. An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.

17. Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. What to Do Next: Modeling User Behaviors by Time-LSTM. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.

18. Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan. Deep Multiple Instance Hashing for Object-based Image Retrieval. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.

19. Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai. Weakly-supervised Deep Learning for Customer Review Sentiment Classification. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pages 3719-3725, 2016.

20. Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. Proceedings of the 22nd ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 1895-1904, 2016.

21. Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. Which to View: Personalized Prioritization for Broadcast Emails. Proceedings of the 25th international conference on World wide web (WWW), pages 1181-1190, 2016.

22. Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen. Mapping Users across Networks by Manifold Alignment on Hypergraph. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), pages 159-165, 2014.

23. Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan. gIceberg: Towards Iceberg Analysis in Large Graphs. Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE), pages 1021-1032, 2013.

24. Gengxin Miao, Ziyu Guan, Louise Moser, Xifeng Yan, Shu Tao, Nikos Anerousis. Latent Association Analysis of Document Pairs. Proceedings of the 18th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 1415-1423, 2012.

25. Ziyu Guan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlations on Graphs. Proceedings of the 38th international conference on very large databases (VLDB), pages 1400-1411, 2012.

26. Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B.S. Manjunath. Unified hypergraph for image ranking in a multimodal context. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2333-2336, 2012.

27. Ziyu Guan, Jian Wu, Qing Zhang, Ambuj Singh, Xifeng Yan. Assessing and Ranking Structural Correlations in Graphs. Proceedings of the 2011 international conference on management of data (SIGMOD), pages 937-948, 2011.

28. Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao. Neighbor-hood Based Fast Graph Search in Large Networks. Proceedings of the 2011 international conference on management of data (SIGMOD), pages 901-912, 2011.

29. Ziyu Guan, Can Wang, Kun Yang, Jiajun Bu, Chun Chen, Deng Cai. Document Recommendation in Social Tagging Services. Proceedings of the 19th international conference on World wide web (WWW), pages 391-400, 2010.

30. Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang. Learning a user-thread alignment manifold for thread recommendation in online forum. Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM), pages 559-568, 2010.

31. Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen and Can Wang. Personalized Tag Recommendation Using Graph-based Ranking on Multi-type Interrelated Objects. Proceedings of the 32nd annual international ACM SIGIR conference (SIGIR), pages 540-547, 2009.

32. JunfengWang, Chun Chen, CanWang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang. Can We Learn a Template-Independent Wrapper for News Article Extraction from a Single Training Site? Proceedings of the 15th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 1345-1354, 2009.

33. Can Wang, Junfeng Wang, Chun Chen, Li Lin, Ziyu Guan, Junyan Zhu, Cheng Zhang, Jiajun Bu. Learning to Extract Web News Title in Template Independent Way. Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology (RSKT), pages 192-199, 2009.

34. Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Lu Gang. News Article Extraction with Template-Independent Wrapper. Proceedings of the 18th international conference on World Wide Web (WWW), pages 1085-1086, 2009.

35. Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu and Junfeng Wang. Guide Focused Crawler Efficiently and Effectively Using On-line Topical Importance Estimation. Proceedings of the 31st annual international ACM SIGIR conference (SIGIR), pages 757-758, 2008.

科研项目：

1. 国家优秀青年科学基金项目，智能媒体计算，2016/01-2018/12，主持。(National Excellent Youth Science Foundation, 01/2016-12/2018, PI)

2. 国家自然科学基金面上项目，基于标签和多特征融合的图像语义空间学习技术研究，2014/01-2017/12，主持。(National Natural Science Foundation, PI

3. 国家高技术研究发展计划（863 计划）项目，媒体大数据的结构化描述方法研究，2014/01-2016/12，参加。(National High Technology Research and Development Program of China, Co-PI)

4. 教育部“创新团队发展计划”项目，文化遗产数字化保护与传播，2014/01-2016/12，参加。(The Innovation Team Development Plan of the Ministry of Education, Co-PI)

教学情况：

承担本科生课程《数据挖掘》的教学工作。(Data mining, undergraduate course)