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年进入西北大学工作。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 Learningand Cybernetics的编委，为IEEE TKDE、IEEETNNLS、IEEE T-Cybernetics、ACMTKDD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 afull professor in the Northwest University of China. He received the BS and PhDdegrees in Computer Science from Zhejiang University in 2004 and 2010,respectively. His research directions include machine learning, data mining andpattern recognition. He has publishednearly30 high quality papersin top international journals/conferences, such as IEEE TKDE, VLDB, SIGMOD,SIGIR, WWW, AAAI, IJCAI and SIGKDD. In 2015, he received the NationalExcellentYouth Science Foundation of NSFC.He is currently anassociated editor for Neurocomputing, and the International Journal of MachineLearning and Cybernetics. He has served (or is serving)in the programcommittees 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
Bookchapters
1. Ziyu Guan, and Xifeng Yan. Measuring Structural Correlations inGraphs. Computational Network Theory: Theoretical Foundationsand Applications, pp. 29-75,2015.
Journalpapers
2. WeiZhao, Ziyu Guan (corresponding author), Long Chen, Xiaofei He, Deng Cai, BeidouWang, Quan Wang. Weakly-supervised Deep Embedding forProduct Review Sentiment Analysis.IEEE Transactions on Knowledge and Data Engineering, online preprint, 2017.
3. YuZhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He. Heterogeneoushypergraph embedding for document recommendation. Neurocomputing, Vol. 216, pages 150-162, 2016.
4. WeiZhao, Zheng Liu, Ziyu Guan (corresponding author), Binbin Lin, Deng Cai. Orthogonal Projective Sparse Coding forImage Representation. Neurocomputing, Vol 173, pages 270-277, 2016.
5. ZiyuGuan, Lijun Zhang, Jinye Peng, Jianping Fan. Multi-view ConceptLearning for Data Representation.IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 11, pages3016-3028, 2015.
6. ZiyuGuan, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Xifeng Yan. Fine-GrainedKnowledge Sharing in Collaborative Environments. IEEE Transactions on Knowledge and Data Engineering, Vol. 27,No. 8, pages 2163-2174, 2015.
7. WeiZhao, Ziyu Guan (corresponding author), Zheng Liu. Ranking on heterogeneousmanifolds for tag recommendation in social tagging services. Neurocomputing, Vol. 148, pages 521-534,2015.
8. ShulongTan, Yang Li, Huan Sun, Ziyu Guan (corresponding author), Xifeng Yan, JiajunBu, Chun Chen, Xiaofei He. Interpreting the public sentimentvariations on twitter.IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 5, pages1158-1170, 2014.
9. ZiyuGuan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai. Co-OccurrenceBased Diffusion for Expert Search on the Web. IEEE Transactions on Knowledgeand Data Engineering, Vol. 25, No. 5, pages 1001-1014, 2013
10. JianWu, Ziyu Guan, Qing Zhang, Ambuj Singh, Xifeng Yan. Static and DynamicStructural Correlations in Graphs. IEEE Transactions on Knowledge and DataEngineering, Vol. 25, No. 9, pages 2147-2160, 2013.
11. LongfeiZhang, Ziyu Guan, Alexander Hauptmann. The co-attention model for tiny activityanalysis. Neurocomputing, Vol. 105, pages 51-60, 2013.
12. CanWang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan. Imagerepresentation using Laplacian regularized nonnegative tensor factorization.Pattern Recognition, Vol. 44, Issues 10-11, 2011.
13. ZiyuGuan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen. Efficient FaceRecognition Using Tensor Subspace Regression. Neurocomputing, Vol. 73, Issues13-15, 2010.
14. CanWang, Ziyu Guan, Chun Chen, Jiajun Bu, Junfeng Wang and Huaizhong Lin. On-lineTopical Importance Estimation: An effective focused crawling algorithmcombining link and content analysis. Journal of Zhejiang University, Vol. 10,No. 8, 2009.
Conferencepapers
15. XiaohanZhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. Substructure Assembling Networkfor Graph Classification. Proceedings of the 32nd AAAI Conference on ArtificialIntelligence (AAAI), accepted, 2018.
16. JieZhao, Yu Su, Ziyu Guan, Huan Sun. An End-to-End Deep Framework for AnswerTriggering with a Novel Group-Level Objective. Proceedings of the 2017Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
17. YuZhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. Whatto Do Next: Modeling User Behaviors by Time-LSTM. Proceedings of the 26thInternational Joint Conference on Artificial Intelligence (IJCAI), 2017.
18. WanqingZhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan. Deep Multiple InstanceHashing for Object-based Image Retrieval. Proceedings of the 26th InternationalJoint Conference on Artificial Intelligence (IJCAI), 2017.
19. ZiyuGuan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai. Weakly-supervisedDeep Learning for Customer Review Sentiment Classification. Proceedings of the25th International Joint Conference on Artificial Intelligence (IJCAI), pages3719-3725, 2016.
20. BeidouWang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. TheMillion Domain Challenge: Broadcast Email Prioritization by Cross-domainRecommendation. Proceedings of the 22nd ACM SIGKDD conference on knowledgediscovery and data mining (SIGKDD), pages 1895-1904, 2016.
21. BeidouWang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. Which to View:Personalized Prioritization for Broadcast Emails. Proceedings of the 25thinternational conference on World wide web (WWW), pages 1181-1190, 2016.
22. ShulongTan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen. Mapping Usersacross Networks by Manifold Alignment on Hypergraph. Proceedings of theTwenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), pages 159-165,2014.
23. NanLi, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan. gIceberg: TowardsIceberg Analysis in Large Graphs. Proceedings of the 29th IEEE InternationalConference on Data Engineering (ICDE), pages 1021-1032, 2013.
24. GengxinMiao, Ziyu Guan, Louise Moser, Xifeng Yan, Shu Tao, Nikos Anerousis. LatentAssociation Analysis of Document Pairs. Proceedings of the 18th ACM SIGKDDconference on knowledge discovery and data mining (SIGKDD), pages 1415-1423,2012.
25. ZiyuGuan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlationson Graphs. Proceedings of the 38th international conference on very largedatabases (VLDB), pages 1400-1411, 2012.
26. JiejunXu, Vishwakarma Singh, Ziyu Guan, B.S. Manjunath. Unified hypergraph for imageranking in a multimodal context. Proceedings of the IEEE International Conferenceon Acoustics, Speech and Signal Processing (ICASSP), pages 2333-2336, 2012.
27. ZiyuGuan, Jian Wu, Qing Zhang, Ambuj Singh, Xifeng Yan. Assessing and RankingStructural Correlations in Graphs. Proceedings of the 2011 internationalconference on management of data (SIGMOD), pages 937-948, 2011.
28. ArijitKhan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao.Neighbor-hood Based Fast Graph Search in Large Networks. Proceedings of the2011 international conference on management of data (SIGMOD), pages 901-912,2011.
29. ZiyuGuan, Can Wang, Kun Yang, Jiajun Bu, Chun Chen, Deng Cai. DocumentRecommendation in Social Tagging Services. Proceedings of the 19thinternational conference on World wide web (WWW), pages 391-400, 2010.
30. JunZhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang. Learning auser-thread alignment manifold for thread recommendation in online forum.Proceedings of the 19th ACM international conference on Information andknowledge management (CIKM), pages 559-568, 2010.
31. Ziyu Guan,Jiajun Bu, Qiaozhu Mei, Chun Chen and Can Wang. Personalized Tag RecommendationUsing Graph-based Ranking on Multi-type Interrelated Objects. Proceedings ofthe 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 WeLearn a Template-Independent Wrapper for News Article Extraction from a SingleTraining Site? Proceedings of the 15th ACM SIGKDD conference on knowledgediscovery and data mining (SIGKDD), pages 1345-1354, 2009.
33. CanWang, 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 KnowledgeTechnology (RSKT), pages 192-199, 2009.
34. JunfengWang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Lu Gang.News Article Extraction with Template-Independent Wrapper. Proceedings of the18th international conference on World Wide Web (WWW), pages 1085-1086, 2009.
35. ZiyuGuan, Can Wang, Chun Chen, Jiajun Bu and Junfeng Wang. Guide Focused CrawlerEfficiently 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 ExcellentYouthScience 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 ScienceFoundation, 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 Researchand 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 DevelopmentPlan 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)