Zijun Yao - RankMe

46 papers A* 6A 9Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem. CoRR Rui Liu, Tao Zhe, Dongjie Wang, Zijun Yao, Kunpeng Liu, Yanjie Fu, Huan Liu, Jian Pei
2026	J	`jnl`	City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification. CoRR Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Zhengzhang Chen, Kunpeng Liu, Yanjie Fu, Dongjie Wang
2026	J	`jnl`	DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning. CoRR Deyi Li, Zijun Yao, Qi Xu, Muxuan Liang, Lingyao Li, Zijian Xu, Mei Liu
2026	J	`jnl`	Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction. CoRR Tao Zhe, Haoyu Wang, Bo Luo, Min Wu, Wei Fan, Xiao Luo, Zijun Yao, Haifeng Chen, Dongjie Wang
2026	J	`jnl`	User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering. CoRR Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Dongjie Wang, Mei Liu, Zijun Yao
2025	A	`conf`	Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. CIKM Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang
2025	—	`conf`	Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search. KDD (2) Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang
2025	J	`jnl`	Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search. CoRR Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang
2025	J	`jnl`	DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling. CoRR Deyi Li, Zijun Yao, Muxuan Liang, Mei Liu
2025	J	`jnl`	Discovering Time-aware Hidden Dependencies with Personalized Graphical Structure in Electronic Health Records. ACM Trans. Knowl. Discov. Data Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Bin Liu, Mei Liu, Zijun Yao
2025	J	`jnl`	ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks. CoRR Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria
2025	J	`jnl`	Iterative Feature Space Optimization through Incremental Adaptive Evaluation. CoRR Yanping Wu, Yanyong Huang, Zhengzhang Chen, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang
2025	A	`conf`	Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation. CIKM Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang, Zijun Yao
2025	J	`jnl`	Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation. CoRR Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang, Zijun Yao
2024	J	`jnl`	Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks. CoRR Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria
2024	A	`conf`	Contrastive Learning on Medical Intents for Sequential Prescription Recommendation. CIKM Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, Zijun Yao
2024	J	`jnl`	Contrastive Learning on Medical Intents for Sequential Prescription Recommendation. CoRR Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, Zijun Yao
2024	J	`jnl`	Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection. CoRR Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong, Zijun Yao
2024	A*	`conf`	On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing. CCS Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo
2024	J	`jnl`	SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation. CoRR Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023	J	`jnl`	Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT. CoRR Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo
2023	A	`conf`	Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. CIKM Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023	J	`jnl`	Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. CoRR Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023	J	`jnl`	Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. IEEE Trans. Big Data Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong
2023	J	`jnl`	Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
2022	—	`conf`	Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings. EMNLP (Findings) Ishrak Hayet, Zijun Yao, Bo Luo
2021	J	`jnl`	Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. IEEE Trans. Knowl. Data Eng. Yong Ge, Zijun Yao, Huayu Li
2021	—	`conf`	Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
2021	A	`conf`	Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. CIKM Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu
2021	—	`conf`	Phenotypical ontology driven framework for multi-task learning. CHIL Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	J	`jnl`	ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	J	`jnl`	Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2019	—	`conf`	eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
2018	—	`conf`	Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks. ECML/PKDD (2) Wangsu Hu, Zijun Yao, Sen Yang, Shuhong Chen, Peter Jing Jin
2018	A	`conf`	Dynamic Word Embeddings for Evolving Semantic Discovery. WSDM Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2018	A	`conf`	Exploiting Human Mobility Patterns for Point-of-Interest Recommendation. WSDM Zijun Yao
2018	A*	`conf`	Representing Urban Functions through Zone Embedding with Human Mobility Patterns. IJCAI Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong
2017	J	`jnl`	Discovery of Evolving Semantics through Dynamic Word Embedding Learning. CoRR Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2016	J	`jnl`	Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
2016	A*	`conf`	POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. ICDM Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong
2016	A	`conf`	The Impact of Community Safety on House Ranking. SDM Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong
2015	J	`jnl`	A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Trans. Knowl. Data Eng. Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao
2014	A*	`conf`	Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
2014	A*	`conf`	Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan
2014	A	`conf`	User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. SDM Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong
2013	A*	`conf`	Learning geographical preferences for point-of-interest recommendation. KDD Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong