Xiaohan Li

34 papers A* 6A 1B 5Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Segment and Matte Anything in a Unified Model.
AAAI
Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2026 J jnl
Segment and Matte Anything in a Unified Model.
CoRR
Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2025 J jnl
LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning.
CoRR
Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Körpeoglu, Kaushiki Nag, Kannan Achan
2024 A conf
3rd International Workshop on Industrial Recommendation Systems (IRS).
CIKM
Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024 B conf
Improving Sequential Recommender Systems with Online and In-store User Behavior.
IEEE Big Data
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024 J jnl
Improving Sequential Recommender Systems with Online and In-store User Behavior.
CoRR
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan
2024 A* conf
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
SIGIR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
CoRR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 B conf
Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning.
IEEE Big Data
Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan
2024 — conf
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
WWW (Companion Volume)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
2024 J jnl
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
CoRR
Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
2024 J jnl
Relation labeling in product knowledge graphs with large language models for e-commerce.
Int. J. Mach. Learn. Cybern.
Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.
CoRR
Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan
2023 A* conf
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder.
ICDM
Zheng Liu, Xiaohan Li, Philip S. Yu
2023 B conf
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
IEEE Big Data
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023 J jnl
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
CoRR
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023 J jnl
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder.
CoRR
Zheng Liu, Xiaohan Li, Philip S. Yu
2023 J jnl
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation.
CoRR
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
2022 B conf
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.
IEEE Big Data
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022 J jnl
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.
CoRR
Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan
2022 J jnl
Mitigating Health Disparities in EHR via Deconfounder.
CoRR
Zheng Liu, Xiaohan Li, Philip S. Yu
2022 — conf
Mitigating health disparities in EHR via deconfounder.
BCB
Zheng Liu, Xiaohan Li, Philip S. Yu
2022 B conf
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation.
IEEE Big Data
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
2021 J jnl
Dynamic Graph Collaborative Filtering.
CoRR
Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2021 J jnl
Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
CoRR
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2021 A* conf
Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network.
SIGIR
Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu
2021 — conf
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
IEEE BigData
Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021 J jnl
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
CoRR
Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2020 — conf
Basket Recommendation with Multi-Intent Translation Graph Neural Network.
IEEE BigData
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020 J jnl
Basket Recommendation with Multi-Intent Translation Graph Neural Network.
CoRR
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020 A* conf
Dynamic Graph Collaborative Filtering.
ICDM
Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2020 — conf
Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
IEEE BigData
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
2017 A* conf
Blood Pressure Prediction via Recurrent Models with Contextual Layer.
WWW
Xiaohan Li, Shu Wu, Liang Wang