Zijun Yao
I am an assistant professor at University of Kansas. Before that I was a research staff member at IBM research working on AI for healthcare. I received my Ph.D. in Information Technology from Rutgers University in 2018 supervised by Prof. Hui Xiong. My research interests include data mining and its broad range of applications on health informatics, mobile intelligence, and natural language processing.
For perspective students:
[RA/TA positions available] We are recruiting self-motivated PhD students to join us. Please feel free to email me your CV if you are interested in research of data mining and its broad applications. KU is the state’s flagship university and the member of the Association of American Universities (AAU). According to Carnegie Classification of higher education, KU is ranked Research I (R1) as the university with the highest levels of research activity. More application information of EECS can be found at link. Pease feel free to share the ads if you know someone would be interested [ads].
Education
Ph.D. in Information Technology (2018) Rutgers, the State University of New Jersey, NJ
M.S. in Computer Engineering (2011) Northeastern University, MA
B.E. in Electrical Engineering (2009) Guangdong University of Technology, China
Selected Publications
Conference papers:
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Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces
Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu
ACM International Conference on Information and Knowledge Management (CIKM), 2021.
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Deep Staging: An Interpretable Deep Learning Framework for Disease Staging
Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
IEEE International Conference on Healthcare Informatics (ICHI), 2021. [Paper]
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Phenotypical Ontology Driven Framework for Multi-Task Learning
Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow
ACM Conference on Health, Inference, and Learning (CHIL), 2021. [Paper]
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eXITs: An Ensemble Approach for Imputing Missing EHR Data
James Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed Ghalwash, Zijun Yao, Daby Sow
IEEE International Conference on Healthcare Informatics (ICHI), 2019.
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Discovering Urban Travel Demands through Dynamic Zone Correlation in Location-Based Social Networks
Wangsu Hu, Zijun Yao, Sen Yang, Shuhong Chen, Peter J. Jin
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2018.
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Representing Urban Functions through Zone Embedding with Human Mobility Patterns
Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong
International Joint Conference on Artificial Intelligence (IJCAI), 2018. [Paper]
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Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
ACM International Conference on Web Search and Data Mining (WSDM), 2018. [Paper] [Poster]
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POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong
IEEE International Conference on Data Mining (ICDM), 2016. (Full paper) [Paper]
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The Impact of Community Safety on House Ranking
Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong
SIAM International Conference on Data Mining (SDM), 2016. [Paper] [Poster]
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Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors
Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Nicholas Jing Yuan
IEEE International Conference on Data Mining (ICDM), 2014.
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Exploiting Geographic Dependencies for Real Estate Appraisal
Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
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User Preference Learning with Multiple Information Fusion for Restaurant Recommendation
Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong
SIAM International Conference on Data Mining (SDM), 2014.
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Learning Geographical Preferences for Point-of-Interest Recommendation
Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013.
Journal papers:
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Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting
Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong
IEEE Transactions on Big Data (TBD), 2022. [Paper]
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Computing Co-location Patterns in Spatial Data with Extended Objects: a Scalable Buffer-based Approach
Yong Ge, Zijun Yao, Huayu Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
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Modeling of Geographical Dependencies for Real Estate Ranking
Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD), Vol.11, No.1, pp.1-27, 2016.
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A General Geographical Probabilistic Factor Model for Point of Interest Recommendation
Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.27, No.5, pp.1167–1179, 2015.
Archive:
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ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow
In arXiv:2005.06434. [Paper]
Selected Awards & Honors
• IBM Research Accomplishments Award, 2020
• IBM First Patent Application Innovation Achievement Award, 2020
• International Joint Conferences on Artificial Intelligence (IJCAI) Travel Award, 2018
• ACM International Conferences on Web Search and Data Mining (WSDM) Travel Award, 2018 • IEEE International Conferences on Data Mining (ICDM) Travel Award, 2016
• SIAM International Conferences on Data Mining (SDM) Travel Award, 2016
• Dean’s Scholarship for Summer Research, Rutgers University, 2014