Zijun Yao

Orcid: 0000-0003-3647-8770

Affiliations:
  • University of Kansas, USA
  • IBM Research, Yorktown Heights, NY, USA (former)
  • Rutgers University, NJ, USA (Ph.D.)


According to our database1, Zijun Yao authored at least 24 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.
ACM Trans. Inf. Syst., October, 2023

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting.
IEEE Trans. Big Data, February, 2023

Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT.
CoRR, 2023

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach.
IEEE Trans. Knowl. Data Eng., 2021

Deep Staging: An Interpretable Deep Learning Framework for Disease Staging.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Phenotypical ontology driven framework for multi-task learning.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction.
CoRR, 2020

2019
eXITs: An Ensemble Approach for Imputing Missing EHR Data.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018
Dynamic Word Embeddings for Evolving Semantic Discovery.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Exploiting Human Mobility Patterns for Point-of-Interest Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Representing Urban Functions through Zone Embedding with Human Mobility Patterns.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Discovery of Evolving Semantics through Dynamic Word Embedding Learning.
CoRR, 2017

2016
Modeling of Geographic Dependencies for Real Estate Ranking.
ACM Trans. Knowl. Discov. Data, 2016

The Impact of Community Safety on House Ranking.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng., 2015

2014
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Learning geographical preferences for point-of-interest recommendation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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