Xiaohan Li

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Electronic Health Records

Personalized Recommendation

Base Classifiers

Diffusion Models

Top Venues

Publications

Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. CoRR (2024)
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR (2024)
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR (2024)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) (2024)
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR (2023)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR (2023)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. BigData (2023)
Zheng Liu, Xiaohan Li, Philip S. Yu
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder. CoRR (2023)
Zheng Liu, Xiaohan Li, Philip S. Yu
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder. ICDM (2023)
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. Big Data (2022)
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. Big Data (2022)