Zijun Yao

Zijun Yao

zyao@ku.edu

Assistant Professor in Computer Science

Publications

You can also find my articles on my Google Scholar profile or DBLP profile.

  • Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
    Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, Zijun Yao
    ACM International Conference on Information and Knowledge Management (CIKM), 2024. [Paper]

  • Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
    Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong, Zijun Yao
    American Medical Informatics Association Annual Symposium (AMIA), 2024. [Paper]

  • On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing
    Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo
    ACM Conference on Computer and Communications Security (CCS), 2024. [Paper]

  • Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
    Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
    ACM International Conference on Information and Knowledge Management (CIKM), 2023. [Paper]

  • Ontology-Aware Prescription Recommendation in Treatment Pathways using Multi-Evidence Healthcare Data
    Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
    ACM Transactions on Information Systems (TOIS), 2023. [Paper]

  • Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings
    Ishrak Hayet, Zijun Yao, Bo Luo
    Findings of 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022. [Paper]

  • 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]

  • Deconvoluting Kinetic Rate Constants of Catalytic Substrates from Scanning Electrochemical Approach Curves with Artificial Neural Networks
    Dinuka Rajapakse, Josh Meckstroth, Dylan T. Jantz, Kyle Vincent Camarda, Zijun Yao, and Kevin C. Leonard
    ACS Measurement Science Au, 2022. [Paper]

  • 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. [Paper]

  • 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]

  • 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]

  • 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. [Paper]

  • 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, 2020. [Paper]

  • 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.

  • 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.

  • 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]

  • 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] [Code] [Data]

  • 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]

  • 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]

  • 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), 2016.

  • 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), 2015.

  • 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.

  • 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.

  • 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.

  • 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.

Academic Services

Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Computers
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Big Data (TBD)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • ACM Transactions on Management Information Systems (TMIS)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • Cell Patterns
  • Journal of Biomedical Informatics (JBI)
  • Knowledge and Information Systems (KAIS)
  • BMC Medical Informatics and Decision Making
  • Scientific Reports - Nature

Conference Reviewer

  • KDD/WWW/CIKM/SDM
  • AAAI/IJCAI
  • ACL/EMNLP