Zheng Liu

According to our database, Zheng Liu authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder.

Zheng Liu, Xiaohan Li, Philip S. Yu

CoRR, 2023

A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder.

Zheng Liu, Xiaohan Li, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.

Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation.

Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2022

Mitigating health disparities in EHR via deconfounder.

Zheng Liu, Xiaohan Li, Philip S. Yu

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network.

Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.

Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Dynamic Graph Collaborative Filtering.

Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Heterogeneous Similarity Graph Neural Network on Electronic Health Records.

Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020