Zijun Yao

According to our database, Zijun Yao authored at least 43 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models.

Arya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi, Dongjie Wang, Zijun Yao

CoRR, April, 2026

DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning.

Deyi Li, Zijun Yao, Qi Xu, Muxuan Liang, Lingyao Li, Zijian Xu, Mei Liu

CoRR, March, 2026

AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem.

Rui Liu, Tao Zhe, Dongjie Wang, Zijun Yao, Kunpeng Liu, Yanjie Fu, Huan Liu, Jian Pei

CoRR, March, 2026

City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification.

Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Zhengzhang Chen, Kunpeng Liu, Yanjie Fu, Dongjie Wang

CoRR, February, 2026

Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction.

Tao Zhe, Haoyu Wang, Bo Luo, Min Wu, Wei Fan, Xiao Luo, Zijun Yao, Haifeng Chen, Dongjie Wang

CoRR, February, 2026

User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering.

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Dongjie Wang, Mei Liu, Zijun Yao

CoRR, January, 2026

Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation.

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Chen Chen, Dongjie Wang, Zijun Yao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks.

Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria

CoRR, August, 2025

DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling.

Deyi Li, Zijun Yao, Muxuan Liang, Mei Liu

CoRR, June, 2025

Discovering Time-aware Hidden Dependencies with Personalized Graphical Structure in Electronic Health Records.

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Bin Liu, Mei Liu, Zijun Yao

ACM Trans. Knowl. Discov. Data, February, 2025

Iterative Feature Space Optimization through Incremental Adaptive Evaluation.

Yanping Wu, Yanyong Huang, Zhengzhang Chen, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang

CoRR, January, 2025

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search.

Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization.

Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation.

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang, Zijun Yao

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation.

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao

CoRR, 2024

Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks.

Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria

CoRR, 2024

Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection.

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong, Zijun Yao

CoRR, 2024

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation.

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, Zijun Yao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing.

Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.

Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li

ACM Trans. Inf. Syst., October, 2023

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 Trans. Big Data, February, 2023

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

Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo

CoRR, 2023

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records.

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao

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.

Ishrak Hayet, Zijun Yao, Bo Luo

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.

Yong Ge, Zijun Yao, Huayu Li

IEEE Trans. Knowl. Data Eng., 2021

Deep Staging: An Interpretable Deep Learning Framework for Disease Staging.

Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

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

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.

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

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

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

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

CoRR, 2020

2019

eXITs: An Ensemble Approach for Imputing Missing EHR Data.

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

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Dynamic Word Embeddings for Evolving Semantic Discovery.

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

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Exploiting Human Mobility Patterns for Point-of-Interest Recommendation.

Zijun Yao

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.

Wangsu Hu, Zijun Yao, Sen Yang, Shuhong Chen, Peter Jing Jin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Representing Urban Functions through Zone Embedding with Human Mobility Patterns.

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Discovery of Evolving Semantics through Dynamic Word Embedding Learning.

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

CoRR, 2017

2016

Modeling of Geographic Dependencies for Real Estate Ranking.

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

ACM Trans. Knowl. Discov. Data, 2016

The Impact of Community Safety on House Ranking.

Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

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

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

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

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., 2015

2014

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.

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

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.

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

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.

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

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Learning geographical preferences for point-of-interest recommendation.

Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013