Zijun Yao

Research Scientist

IBM Research

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I am a research scientist at IBM research working on AI for healthcare.My research interests include data mining and its broad range of applications on health analytics, recommender systems, mobile intelligence, and text mining.

Papers18 papers

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Phenotypical Ontology Driven Framework for Multi-Task Learning

Mohamed Ghalwash,Zijun Yao,Prithwish Chakraborty, James Codella, Daby Sow

Bibtex

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction

Ghalwash Mohamed,Yao Zijun, Chakrabotry Prithwish, Codella James, Sow Daby

Bibtex

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, pp.1-1, (2019)

Bibtex

eXITs - An Ensemble Approach for Imputing Missing EHR Data

James Codella, Hillol Sarker,Prithwish Chakraborty, Mohamed F. Ghalwash,Zijun Yao, Daby Sow

ICHI, pp.1-3, (2019)

EIBibtex

Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks

Wangsu Hu,Zijun Yao,Sen Yang,Shuhong Chen,Peter J. Jin

ECML/PKDD (2), pp.88-104, (2018)

EIBibtex

Representing Urban Functions through Zone Embedding with Human Mobility Patterns

Zijun Yao,Yanjie Fu,Bin Liu, Wangsu Hu,Hui Xiong

IJCAI, pp.3919-3925, (2018)

Cited by16EIBibtex

Exploiting Human Mobility Patterns for Point-of-Interest Recommendation

Zijun Yao

WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining Marina De..., pp.757-758, (2018)

Cited by9EIBibtex

Dynamic Word Embeddings for Evolving Semantic Discovery

Zijun Yao, Yifan Sun,Weicong Ding, Nikhil Rao,Hui Xiong

WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining Marina De..., pp.673-681, (2018)

Cited by94EIBibtex

Discovery of Evolving Semantics through Dynamic Word Embedding Learning

Zijun Yao, Yifan Sun,Weicong Ding, Nikhil Rao,Hui Xiong

CoRR, (2017)

Cited by12EIBibtex

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

Zijun Yao,Yanjie Fu,Bin Liu,Yanchi Liu,Hui Xiong

ICDM, pp.549-558, (2016)

Cited by54EIBibtex

The Impact of Community Safety on House Ranking

Zijun Yao,Yanjie Fu,Bin Liu,Hui Xiong

SDM, pp.459-467, (2016)

Cited by6EIBibtex

Modeling of Geographic Dependencies for Real Estate Ranking

Yanjie Fu,Hui Xiong,Yong Ge,Yu Zheng,Zijun Yao,Zhi-Hua Zhou

TKDD, no. 1 (2016)

Cited by15EIBibtex

Just-in-time reconnaissance and assistance for video game streams and players

Benjamin Falchuk,Euthimios Panagos, K. C. Lee,Shoshana Loeb,Z. Yao

CCNC, pp.99-102, (2016)

EIWOSBibtex

A General Geographical Probabilistic Factor Model for Point of Interest Recommendation

Bin Liu,Hui Xiong,Spiros Papadimitriou,Yanjie Fu,Zijun Yao

IEEE Trans. Knowl. Data Eng., no. 5 (2015): 1167-1179

Cited by117EIWOSBibtex

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation

Yanjie Fu,Bin Liu,Yong Ge,Zijun Yao,Hui Xiong

SDM, pp.470-478, (2014)

Cited by36EIBibtex

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering

Yanjie Fu,Hui Xiong,Yong Ge,Zijun Yao,Yu Zheng,Zhi-Hua Zhou

KDD, pp.1047-1056, (2014)

Cited by74EIBibtex

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors

Yanjie Fu,Yong Ge,Yu Zheng,Zijun Yao,Yanchi Liu,Hui Xiong,Jing Yuan

ICDM, pp.120-129, (2014)

Cited by71EIWOSBibtex

Learning geographical preferences for point-of-interest recommendation

Bin Liu,Yanjie Fu,Zijun Yao,Hui Xiong

KDD, pp.1043-1051, (2013)

Cited by364EIBibtex

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