西安电子科技大学计算机科学与技术学院导师教师师资介绍简介-管子玉

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2021-06-27

基本信息
管子玉教授博士生导师
工作单位：计算机科学与技术学院

联系方式
通信地址：西安电子科技大学159信箱
邮编：710071
电子邮箱：zyguan@xidian.edu.cn
办公地点：北校区主楼四区119

个人简介
管子玉，1982年生，博士，西安电子科技大学教授、博士生导师，国家优秀青年科学基金获得者。主持基金委重点项目、面上项目等国家级项目。在数据挖掘、信息检索、数据管理等领域的顶级国际会议和期刊发表论文70余篇，包括TKDE、TNNLS、TIP、VLDB、SIGMOD、SIGIR、ICDE、WWW、AAAI、IJCAI、SIGKDD、CVPR等。担任领域内知名SCI期刊Neurocomputing和International Journal of Machine Learning and Cybernetics的编委，担任多个顶级国际会议程序委员会委员，如SIGKDD、IJCAI、AAAI、NIPS、CIKM等，顶级会议IJCAI 2017/2018/2019/2020 资深程序委员会委员，领域内知名国际会议环太平洋多媒体会议PCM 2016组织主席。
教育经历
2000/08~2004/06，浙江大学，计算机科学与技术学院（计算机科学与技术专业），工学学士
2004/08~2010/06，浙江大学，计算机科学与技术学院（计算机科学与技术专业），工学博士（保送）
研究经历
2010~2012，美国加州大学圣芭芭拉分校，博士后研究
2012~2013，西北大学，研究员
2014~至今，西北大学，教授、博士生导师
2017~至今，西安电子科技大学，教授

主要研究方向
1.机器学习
2.数据挖掘
3.多媒体计算

科学研究
主持科研项目
序号项目名称项目来源项目经费起止时间
1 跨模态社会媒体深度分析与决策支持 国家自然科学基金重点项目 301万元 2020.1-2024.12
2
智能媒体计算
国家自然科学基金优秀青年科学基金项目
130万元
2016.1-2018.12

3 基于弱监督和迁移学习的深度文本理解模型学习方法国家自然科学基金面上项目 62万元 2019.1-2022.12
4 基于标签和多特征融合的图像语义空间学习技术研究国家自然科学基金面上项目 79万元 2014.1-2017.12
5 基于深度学习的文本智能理解技术研究
陕西省青年科技新星项目
10万元
2017.8-2019.12

学术论文
发表论文和著作情况
期刊论文：
Cai Xu, Ziyu Guan*, Wei Zhao, Quanzhou Wu, Meng Yan, Long Chen, Qiguang Miao.Recommendation by Users' Multi-modal Preferences for Smart City Applications.IEEE Transactions on Industrial Informatics, accepted, 2020.
Wei Zhao, Cai Xu*, Ziyu Guan*, Ying Liu. Multi-view Concept Learning via Deep Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems (SCI一区), accepted, 2020.
Yaming Yang, Hongmin Liu*, Ziyu Guan, Xiaofei He, Gaoliang Liu.CoHomo: A cluster-attribute correlation aware graph clustering framework.Neurocomputing, accepted, 2020.
Shuwen Xiao, Zhou Zhao, Zijian Zhang, Ziyu Guan, Deng Cai. Query-biased Self-attentive Network for Query-focused Video Summarization. IEEE Transactions on Image Processing (TIP，CCFA类), accepted, 2020.
Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Hangzai Luo, Lei Tang, Jinye Peng, Jianping Fan. 6D object pose estimation via viewpoint relation reasoning. Neurocomputing, accepted, 2020.
Pengfei Xu, Fei Xie, Tongsheng Su, Zhaoxin Wan, Zhaoyong Zhou, Xiaoyu Xin, Ziyu Guan*.Automatic Evaluation of Facial Nerve Paralysis by Dual-Path LSTM with Deep Differentiated Network. Neurocomputing, accepted, 2020.
Wei Zhao, Ziyu Guan*, Yuhui Huang, Tingting Xi, Huan Sun, Zhiheng Wang, Xiaofei He. Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol. 32, No. 6, pages 1092-1103, 2020.
Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. Addressing the Item Cold-start Problem by Attribute-driven Active Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol. 32, No. 4, pages 631-644, 2020.
Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia. An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol. 32, No. 2, pages 203-217, 2020.
WeiZhao, Shulong Tan, Ziyu Guan*,Boxuan Zhang, Maoguo Gong, Zhengwen Cao, Quan Wang. Learning to map social network users by unified manifold alignment on hypergraph. IEEE Transactions on Neural Networks and Learning Systems (SCI一区), Vol. 29, No. 12, pages 5834-5846, 2018.
Wei Zhao, Ziyu Guan*, Long Chen, Xiaofei He, Deng Cai, Beidou Wang,Quan Wang. Weakly-supervised Deep Embedding for Product Review Sentiment Analysis. IEEETransactions on Knowledge and Data Engineering (TKDE，CCFA类),Vol. 30, No. 1, pages 185-197, 2018.
Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He. Heterogeneous hypergraphembedding for document recommendation. Neurocomputing, Vol. 216, pages 150-162, 2016.
Wei Zhao, Ziyu Guan, Zhengwen Cao, Zheng Liu. Mining and Harvesting High Quality TopicalResources from the Web. Chinese Journal of Electronics, Vol. 25, No. 1, pages 48-57, 2016.
Wei Zhao, Zheng Liu, Ziyu Guan*, Binbin Lin, Deng Cai. OrthogonalProjective Sparse Coding for Image Representation. Neurocomputing, Vol. 173, pages 270-277,2016.
Ziyu Guan, Lijun Zhang, Jinye Peng, Jianping Fan. Multi-view Concept Learning for DataRepresentation. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol. 27, No.11, pages 3016-3028, 2015.
Ziyu Guan, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Xifeng Yan. Fine-Grained KnowledgeSharing in Collaborative Environments. IEEE Transactions on Knowledge and Data Engineering(TKDE，CCF A类), Vol. 27, No. 8, pages 2163-2174, 2015.
Wei Zhao, Ziyu Guan*, Zheng Liu. Ranking on heterogeneous manifoldsfor tag recommendation in social tagging services. Neurocomputing, Vol. 148, pages 521-534,2015.
Shulong Tan, Yang Li, Huan Sun, Ziyu Guan*, Xifeng Yan, Jiajun Bu,Chun Chen, Xiaofei He. Interpreting the public sentiment variations on twitter. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol. 26, No. 5, pages 1158-1170, 2014.
Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai. Co-Occurrence BasedDiffusion for Expert Search on the Web. IEEE Transactions on Knowledge and Data Engineering(TKDE，CCFA类), Vol. 25, No. 5, pages 1001-1014, 2013
Jian Wu, Ziyu Guan, Qing Zhang, Ambuj Singh, Xifeng Yan. Static and Dynamic StructuralCorrelations in Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE，CCFA类), Vol.25, No. 9, pages 2147-2160, 2013.
Longfei Zhang, Ziyu Guan, Alexander Hauptmann. The co-attention model for tiny activityanalysis. Neurocomputing, Vol. 105, pages 51-60, 2013.
Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan. Image representation using Laplacian regularized nonnegative tensor factorization. Pattern Recognition, Vol.44, No. 10, pages 2516-2526, 2011.
Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen. E_cient Face RecognitionUsing Tensor Subspace Regression. Neurocomputing, Vol. 73, No. 13, pages 2744-2753, 2010.
Can Wang, Ziyu Guan, Chun Chen, Jiajun Bu, Junfeng Wang and Huaizhong Lin. On-line Topical Importance Estimation: An e_ective focused crawling algorithm combining link and content analysis. Journal of Zhejiang University, Vol. 10, No. 8, pages 1114-1124, 2009.
精选会议论文：
Wanqing Zhao, Shaobo Zhang, Ziyu Guan*, Wei Zhao, Jinye Peng*, Jianping Fan. Learning deep network for detecting 3D object keypoints and 6D poses. Proceedings of the 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR，CCF A类), accepted, 2020.
Long Chen, Ziyu Guan*, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai. Question-driven Purchasing Propensity Analysis for Recommendation. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI，CCF A类), accepted, 2020.
Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai. Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. Proceedings of the 28th ACM international conference on Information and knowledge management (CIKM，CCF B类), pages 2585-2593, 2019.
Cai Xu, Ziyu Guan*, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling. {\em Adversarial Incomplete Multi-view Clustering}. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI，CCFA类), pages 3933-3939, 2019.
Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan*, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu. Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD，CCF A类), pages 2632-2642, 2019.
Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan*, Fei Sun, Wenwu Ou, Kenny Zhu. Exact-K Recommendation via Maximal Clique Optimization. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD，CCF A类), pages 617-626, 2019.
Jun Zhao, Zhou Zhou, Ziyu Guan*, Wei Zhao, Ning Wei, Guang Qiu, Xiaofei He. IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD，CCF A类), pages 2347-2357, 2019.
Jie Zhao, Ziyu Guan, Huan Sun. Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD，CCF A类), pages 1389-1398, 2019.
Long Chen, Ziyu Guan*, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun. Answer Identification from Product Reviews for User Questions by Multi-task Attentive Networks. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI，CCFA类), pages 45-52, 2019.
Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai. Device-Aware Rule Recommendation for the Internet of Things. Proceedings of the 27th ACM international conference on Information and knowledge management (CIKM，CCF B类), pages 2037-2045, 2018.
Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He. Deep reinforcement learning for sponsored search real-time bidding. Proceedings of the 24th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD，CCF A类), pages 1021-1030, 2018.
Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng. Tag-based Weakly-supervised Hashing for Image Retrieval. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI，CCFA类), pages 3776-3782, 2018.
Cai Xu, Ziyu Guan*, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang. Deep Multi-View Concept Learning. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI，CCFA类), pages 2898-2904, 2018.
Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai.A Brand-level Ranking System with the Customized Attention-GRU Model. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI，CCFA类), 2018.
Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyu Fang, Xiaoqing Gong, Zheng Wang.Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI，CCFA类), pages 1050-1056, 2018.
Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. Substructure Assembling Networkfor Graph Classification. Proceedings of the 32nd AAAI Conference on Artificial Intelligence(AAAI，CCFA类), accepted, 2018.
Jie Zhao, Yu Su, Ziyu Guan, Huan Sun. An End-to-End Deep Framework for Answer Triggeringwith a Novel Group-Level Objective. Proceedings of the 2017 Conference on Empirical Methodsin Natural Language Processing (EMNLP, CCF B类), 2017.
Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. What toDo Next: Modeling User Behaviors by Time-LSTM. Proceedings of the 26th International JointConference on Artificial Intelligence (IJCAI，CCFA类), 2017.
Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan. Deep Multiple InstanceHashing for Object-based Image Retrieval. Proceedings of the 26th International Joint Conferenceon Artificial Intelligence (IJCAI，CCFA类), 2017.
Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. TheMillion Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation.Proceedings of the 22nd ACM SIGKDD conference on knowledge discovery and data mining(SIGKDD，CCFA类), pages 1895-1904, 2016.
Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai. Weakly-supervised DeepLearning for Customer Review Sentiment Classification. Proceedings of the 25th InternationalJoint Conference on Artificial Intelligence (IJCAI，CCFA类), pages 3719-3725, 2016.
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 conferenceon World wide web (WWW，CCFA类), pages 1181-1190, 2016.
Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen. Mapping Usersacross Networks by Manifold Alignment on Hypergraph. Proceedings of the Twenty-Eighth AAAIConference on Artificial Intelligence (AAAI，CCFA类), pages 159-165, 2014.
Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan. gIceberg: Towards IcebergAnalysis in Large Graphs. Proceedings of the 29th IEEE International Conference on DataEngineering (ICDE，CCFA类), pages 1021-1032, 2013.
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 onknowledge discovery and data mining (SIGKDD，CCFA类), pages 1415-1423, 2012.
Ziyu Guan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlations onGraphs. Proceedings of the 38th international conference on very large databases (VLDB，CCFA类), pages1400-1411, 2012.
Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B.S. Manjunath. Uni_ed hypergraph for imageranking in a multimodal context. Proceedings of the IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), pages 2333-2336, 2012.
Ziyu Guan, Jian Wu, Qing Zhang, Ambuj Singh, Xifeng Yan. Assessing and Ranking StructuralCorrelations in Graphs. Proceedings of the 2011 international conference on management of data(SIGMOD，CCFA类), pages 937-948, 2011.
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao. Neighbor-hoodBased Fast Graph Search in Large Networks. Proceedings of the 2011 international conference onmanagement of data (SIGMOD，CCFA类), pages 901-912, 2011.
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 wideweb (WWW，CCFA类), pages 391-400, 2010.
Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang. Learning a user-threadalignment manifold for thread recommendation in online forum. Proceedings of the 19th ACMinternational conference on Information and knowledge management (CIKM), pages 559-568,2010.
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 32ndannual international ACM SIGIR conference (SIGIR，CCFA类), pages 540-547, 2009.
JunfengWang, Chun Chen, CanWang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang. CanWe Learn a Template-Independent Wrapper for News Article Extraction from a Single TrainingSite? Proceedings of the 15th ACM SIGKDD conference on knowledge discovery and data mining(SIGKDD，CCFA类), pages 1345-1354, 2009.
Can Wang, Junfeng Wang, Chun Chen, Li Lin, Ziyu Guan, Junyan Zhu, Cheng Zhang, JiajunBu. Learning to Extract Web News Title in Template Independent Way. Proceedings of the4th International Conference on Rough Sets and Knowledge Technology (RSKT), pages 192-199,2009.
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，CCFA类), pages 1085-1086, 2009.
Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu and Junfeng Wang. Guide Focused CrawlerEfficiently and Effectively Using On-line Topical Importance Estimation. Proceedings of the 31stannual international ACM SIGIR conference (SIGIR，CCFA类), pages 757-758, 2008.
学术论著章节：
1.Ziyu Guan, Xifeng Yan. Measuring Structural Correlations in Graphs, Chapter 2 of Computational Network Theory: Theoretical Foundations and Applications, Wiley VCH, 2015.

课程教学
目前本人承担的教学任务：
数据挖掘

招生要求
~~~~~~~~~~~~~~~~~~~~~~~~~~
关于研究生招生的信息：
~~~~~~~~~~~~~~~~~~~~~~~~~~

Profile
Ziyu Guan, Professor
School of Computer Science and Technology

Contact Information
Address: 2 South Taibai Road, Xi\'an, Shannxi, China
Email: zyguan@xidian.edu.cn

Biography
Ziyu Guan is currently a full professor in Xidian University. His research work is focused on social media computing, with an emphasis on developing novel machine learning and data mining techniques for exploiting the wisdom of crowd in social media, to solve application problems such as recommendation, retrieval, etc. He has published over 70 high quality journal/conference papers, out of which 41 papers were published in leading journals/conferences, such as IEEE TKDE, IEEE TIP, VLDB, SIGMOD, SIGIR, ICDE, CVPR, WWW, AAAI, IJCAI and SIGKDD. According to Google Scholar, his research work has been cited over 1600 times (h-index 21). In 2015, he acquired support from the National Excellent Youth Science Foundation (China). He is an associated editor for Neurocomputing and the International Journal of Machine Learning and Cybernetics. He has served or is serving as (senior) program committees members of related leading international conferences, e.g., SIGKDD, AAAI, IJCAI, NeurIPS, ICML, ICLR, SIGIR.
Full CV available at:CV

Working & Education Experience
2017 - present, Xidian University
Professor, School of Computer Science and Technology
2014 - 2017, Northwest University of China
Professor, College of Information Science and Technology
2012 - 2013, Northwest University of China
Researcher, College of Information Science and Technology
2010 - 2012, University of California at Santa Barbara
Assistant project scientist, Department of Computer Science
Advisor: Prof. Xifeng Yan
2004 - 2010, Zhejiang University
PhD in Computer Science and Technology
Advisor: Prof. Chun Chen
2000 - 2004, Zhejiang University
BS in Computer Science and Technology

Current Research Topics
Deep learning: Deep neural networks mimic the hierarchical structures in human brains. Their expressive power is exponentially better than shallow models, and has the potential to better capture the complex mapping from low level data features to high level semantics. Deep learning is intrinsically learning a high level representation for the data, and is also called deep representation learning. Deep learning necessitates large-scale training data. However, labeling large-scale training data is very time-consuming. In this direction, I am focused on weakly supervised training of neural networks for multimedia computing using weakly labeled data, to improve the performance of neural networks.
Recommender systems: recommender systems help online users find items (e.g. movies, products) they are interested in. With the rapid development of online social media, the problem of recommendation has been examined in different contexts. I am currently focused on using multi-modal side information (e.g., text, images) for recommendation and developing graph neural networks suitable for capturing complex user behaviors and side information for social media recommendation problems.
Attributed graph mining: real life networks contain not only link structures, but also attributes on vertices and/or edges. For example, in a social network people could buy various products; in a computer network computers could raise different attacking alerts. Studying how different attributes are distributed in a graph is important for revealing the relationships and patterns involving attributes and the graph structure which are hidden in the graph dataset. I have been focused on fundamental correlation mining and ``interesting area\'\' mining in this context, e.g. measuring the correlation between an attribute and the graph structure. I have designed and implemented efficient and scalable tools for assisting people to analyze and mine patterns in attributed graphs. Currently, I am interested in the dynamic aspects of structural correlation.
Medical images + AI: In view of limited medical resources, it is desirable to develop AI models which can diagnose according to patients\' medial imaging data. On the one hand, AI models could learn from top expert doctors and replicate their experiences to lower-level hospitals and clinics; on the other hand, the AI models can also help senior doctors to reduce their workload. In this direction, I am focused on automatic diagnosis of small intestine diseases, facial paralysis and oral mucosal diseases, in collaboration with top hospitals in China such as Ruijin Hospital affiliated to Shanghai Jiaotong University.
E-commerce Advertising: In e-commerce platforms, advertising is a very important component that is beneficial for not only online merchants and the platform, but also the users (improving user experience by showing them proper ads). Thus, it is important to make the advertising system smart. In collaboration with Alibaba group, I am currently investigating two research questions: (1) how to build a bidding system which can help merchants bid user queries automatically and optimize the profits of both merchants and the platform; (2) how to make the results of advertising interpretable.

Grants
Key Program of Natural Science Foundation of China, 2020-2024, 3,010,000 rmb, PI
General Program of Natural Science Foundation of China, 2019-2022, 620,000 rmb, PI
Program of National Excellent Youth Science Foundation of China, 2016-2018, 1,500,000 rmb, PI
General Program of Natural Science Foundation of China, 2014-2017, 790,000 rmb, PI

Publications
Book chapters：
Ziyu Guan, Xifeng Yan. Measuring Structural Correlations in Graphs, in "Computational Network Theory: Theoretical Foundations and Applications", Wiley VCH, 2015.
Refereed journal papers：
Cai Xu, Ziyu Guan*, Wei Zhao, Quanzhou Wu, Meng Yan, Long Chen, Qiguang Miao.Recommendation by Users' Multi-modal Preferences for Smart City Applications.IEEE Transactions on Industrial Informatics (TII), accepted, 2020.
Wei Zhao, Cai Xu*, Ziyu Guan*, Ying Liu. Multi-view Concept Learning via Deep Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2020.
Yaming Yang, Hongmin Liu*, Ziyu Guan, Xiaofei He, Gaoliang Liu.CoHomo: A cluster-attribute correlation aware graph clustering framework.Neurocomputing, accepted, 2020.
Shuwen Xiao, Zhou Zhao, Zijian Zhang, Ziyu Guan, Deng Cai. Query-biased Self-attentive Network for Query-focused Video Summarization. IEEE Transactions on Image Processing (TIP), accepted, 2020.
Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Hangzai Luo, Lei Tang, Jinye Peng, Jianping Fan. 6D object pose estimation via viewpoint relation reasoning. Neurocomputing, accepted, 2020.
Pengfei Xu, Fei Xie, Tongsheng Su, Zhaoxin Wan, Zhaoyong Zhou, Xiaoyu Xin, Ziyu Guan*.Automatic Evaluation of Facial Nerve Paralysis by Dual-Path LSTM with Deep Differentiated Network. Neurocomputing, accepted, 2020.
Wei Zhao, Ziyu Guan*, Yuhui Huang, Tingting Xi, Huan Sun, Zhiheng Wang, Xiaofei He. Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 32, No. 6, pages 1092-1103, 2020.
Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. Addressing the Item Cold-start Problem by Attribute-driven Active Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 32, No. 4, pages 631-644, 2020.
Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia. An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 32, No. 2, pages 203-217, 2020.
WeiZhao, Shulong Tan, Ziyu Guan*,Boxuan Zhang, Maoguo Gong, Zhengwen Cao, Quan Wang. Learning to map social network users by unified manifold alignment on hypergraph. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 29, No. 12, pages 5834-5846, 2018.
Wei Zhao, Ziyu Guan*, Long Chen, Xiaofei He, Deng Cai, Beidou Wang,Quan Wang. Weakly-supervised Deep Embedding for Product Review Sentiment Analysis. IEEETransactions on Knowledge and Data Engineering (TKDE),Vol. 30, No. 1, pages 185-197, 2018.
Peng Luo, Jinye Peng*, Ziyu Guan, Jianping Fan. Dual regularized multi-view non-negative matrix factorization for clustering. Neurocomputing, Vol. 294, pages 1-11, 2018.
Jinye Peng, Peng Luo, Ziyu Guan, Jianping Fan. Graph-regularized multi-view semantic subspace learning. International Journal of Machine Learning and Cybernetics, Volume 10, Issue 5, pages 879-895, 2017.
Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He. Heterogeneous hypergraphembedding for document recommendation. Neurocomputing, Vol. 216, pages 150-162, 2016.
Wei Zhao, Ziyu Guan, Zhengwen Cao, Zheng Liu. Mining and Harvesting High Quality TopicalResources from the Web. Chinese Journal of Electronics, Vol. 25, No. 1, pages 48-57, 2016.
Wei Zhao, Zheng Liu, Ziyu Guan*, Binbin Lin, Deng Cai. OrthogonalProjective Sparse Coding for Image Representation. Neurocomputing, Vol. 173, pages 270-277,2016.
Ziyu Guan, Lijun Zhang, Jinye Peng, Jianping Fan. Multi-view Concept Learning for DataRepresentation. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No.11, pages 3016-3028, 2015.
Ziyu Guan, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Xifeng Yan. Fine-Grained KnowledgeSharing in Collaborative Environments. IEEE Transactions on Knowledge and Data Engineering(TKDE), Vol. 27, No. 8, pages 2163-2174, 2015.
Wei Zhao, Ziyu Guan*, Zheng Liu. Ranking on heterogeneous manifoldsfor tag recommendation in social tagging services. Neurocomputing, Vol. 148, pages 521-534,2015.
Shulong Tan, Yang Li, Huan Sun, Ziyu Guan*, Xifeng Yan, Jiajun Bu,Chun Chen, Xiaofei He. Interpreting the public sentiment variations on twitter. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 26, No. 5, pages 1158-1170, 2014.
Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai. Co-Occurrence BasedDiffusion for Expert Search on the Web. IEEE Transactions on Knowledge and Data Engineering(TKDE), Vol. 25, No. 5, pages 1001-1014, 2013
Jian Wu, Ziyu Guan, Qing Zhang, Ambuj Singh, Xifeng Yan. Static and Dynamic StructuralCorrelations in Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.25, No. 9, pages 2147-2160, 2013.
Longfei Zhang, Ziyu Guan, Alexander Hauptmann. The co-attention model for tiny activityanalysis. Neurocomputing, Vol. 105, pages 51-60, 2013.
Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan. Image representation using Laplacian regularized nonnegative tensor factorization. Pattern Recognition, Vol.44, No. 10, pages 2516-2526, 2011.
Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen. E_cient Face RecognitionUsing Tensor Subspace Regression. Neurocomputing, Vol. 73, No. 13, pages 2744-2753, 2010.
Can Wang, Ziyu Guan, Chun Chen, Jiajun Bu, Junfeng Wang and Huaizhong Lin. On-line Topical Importance Estimation: An e_ective focused crawling algorithm combining link and content analysis. Journal of Zhejiang University, Vol. 10, No. 8, pages 1114-1124, 2009.
Selected conference papers：
Wanqing Zhao, Shaobo Zhang, Ziyu Guan*, Wei Zhao, Jinye Peng*, Jianping Fan. Learning deep network for detecting 3D object keypoints and 6D poses. Proceedings of the 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2020.
Long Chen, Ziyu Guan*, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai. Question-driven Purchasing Propensity Analysis for Recommendation. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), accepted, 2020.
Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai. Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. Proceedings of the 28th ACM international conference on Information and knowledge management (CIKM), pages 2585-2593, 2019.
Cai Xu, Ziyu Guan*, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling. {\em Adversarial Incomplete Multi-view Clustering}. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), pages 3933-3939, 2019.
Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan*, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu. Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 2632-2642, 2019.
Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan*, Fei Sun, Wenwu Ou, Kenny Zhu. Exact-K Recommendation via Maximal Clique Optimization. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 617-626, 2019.
Jun Zhao, Zhou Zhou, Ziyu Guan*, Wei Zhao, Ning Wei, Guang Qiu, Xiaofei He. IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 2347-2357, 2019.
Jie Zhao, Ziyu Guan, Huan Sun. Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering. Proceedings of the 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 1389-1398, 2019.
Long Chen, Ziyu Guan*, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun. Answer Identification from Product Reviews for User Questions by Multi-task Attentive Networks. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), pages 45-52, 2019.
Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai. Device-Aware Rule Recommendation for the Internet of Things. Proceedings of the 27th ACM international conference on Information and knowledge management (CIKM), pages 2037-2045, 2018.
Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He. Deep reinforcement learning for sponsored search real-time bidding. Proceedings of the 24th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages 1021-1030, 2018.
Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng. Tag-based Weakly-supervised Hashing for Image Retrieval. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI), pages 3776-3782, 2018.
Cai Xu, Ziyu Guan*, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang. Deep Multi-View Concept Learning. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI), pages 2898-2904, 2018.
Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai.A Brand-level Ranking System with the Customized Attention-GRU Model. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI), 2018.
Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyu Fang, Xiaoqing Gong, Zheng Wang.Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach. Proceedings of the 27th InternationalJoint Conference on Artificial Intelligence (IJCAI), pages 1050-1056, 2018.
Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao. Substructure Assembling Networkfor Graph Classification. Proceedings of the 32nd AAAI Conference on Artificial Intelligence(AAAI), accepted, 2018.
Jie Zhao, Yu Su, Ziyu Guan, Huan Sun. An End-to-End Deep Framework for Answer Triggeringwith a Novel Group-Level Objective. Proceedings of the 2017 Conference on Empirical Methodsin Natural Language Processing (EMNLP,), 2017.
Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. What toDo Next: Modeling User Behaviors by Time-LSTM. Proceedings of the 26th International JointConference on Artificial Intelligence (IJCAI), 2017.
Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan. Deep Multiple InstanceHashing for Object-based Image Retrieval. Proceedings of the 26th International Joint Conferenceon Artificial Intelligence (IJCAI), 2017.
Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. TheMillion 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.
Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai. Weakly-supervised DeepLearning for Customer Review Sentiment Classification. Proceedings of the 25th InternationalJoint Conference on Artificial Intelligence (IJCAI), pages 3719-3725, 2016.
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 conferenceon World wide web (WWW), pages 1181-1190, 2016.
Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen. Mapping Usersacross Networks by Manifold Alignment on Hypergraph. Proceedings of the Twenty-Eighth AAAIConference on Artificial Intelligence (AAAI), pages 159-165, 2014.
Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan. gIceberg: Towards IcebergAnalysis in Large Graphs. Proceedings of the 29th IEEE International Conference on DataEngineering (ICDE), pages 1021-1032, 2013.
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 onknowledge discovery and data mining (SIGKDD), pages 1415-1423, 2012.
Ziyu Guan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlations onGraphs. Proceedings of the 38th international conference on very large databases (VLDB), pages1400-1411, 2012.
Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B.S. Manjunath. Uni_ed hypergraph for imageranking in a multimodal context. Proceedings of the IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), pages 2333-2336, 2012.
Ziyu Guan, Jian Wu, Qing Zhang, Ambuj Singh, Xifeng Yan. Assessing and Ranking StructuralCorrelations in Graphs. Proceedings of the 2011 international conference on management of data(SIGMOD), pages 937-948, 2011.
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao. Neighbor-hoodBased Fast Graph Search in Large Networks. Proceedings of the 2011 international conference onmanagement of data (SIGMOD), pages 901-912, 2011.
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 wideweb (WWW), pages 391-400, 2010.
Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang. Learning a user-threadalignment manifold for thread recommendation in online forum. Proceedings of the 19th ACMinternational conference on Information and knowledge management (CIKM), pages 559-568,2010.
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 32ndannual international ACM SIGIR conference (SIGIR), pages 540-547, 2009.
JunfengWang, Chun Chen, CanWang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang. CanWe Learn a Template-Independent Wrapper for News Article Extraction from a Single TrainingSite? Proceedings of the 15th ACM SIGKDD conference on knowledge discovery and data mining(SIGKDD), pages 1345-1354, 2009.
Can Wang, Junfeng Wang, Chun Chen, Li Lin, Ziyu Guan, Junyan Zhu, Cheng Zhang, JiajunBu. Learning to Extract Web News Title in Template Independent Way. Proceedings of the4th International Conference on Rough Sets and Knowledge Technology (RSKT), pages 192-199,2009.
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.
Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu and Junfeng Wang. Guide Focused CrawlerEfficiently and Effectively Using On-line Topical Importance Estimation. Proceedings of the 31stannual international ACM SIGIR conference (SIGIR), pages 757-758, 2008.

Honors
2020,Excellent Academic Paper Award in Natural Science of Shaanxi Province (Second Class Prize)
2016,Science and Technology Youth Star of Shaanxi Province

Teaching
2015-2017 Data mining

Admission