Xiaohan Li

According to our database, Xiaohan Li authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2024

2023

Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder.

Zheng Liu, Xiaohan Li, Philip S. Yu

CoRR, 2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.

Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

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

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.

Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen 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 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

Basket Recommendation with Multi-Intent Translation Graph Neural Network.

Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu

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

2017

Blood Pressure Prediction via Recurrent Models with Contextual Layer.

Xiaohan Li, Shu Wu, Liang Wang

Proceedings of the 26th International Conference on World Wide Web, 2017