Chuanwei Ruan

32 papers A* 10A 4Misc 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation.
Trans. Mach. Learn. Res.
Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He
2025 — conf
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys.
WWW (Companion Volume)
Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Haixun Wang
2023 — conf
Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart.
WWW (Companion Volume)
Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang
2022 A* conf
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
ICLR
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 J jnl
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
CoRR
Da Xu, Yuting Ye, Chuanwei Ruan
2022 A* conf
Modern Theoretical Tools for Designing Information Retrieval System.
KDD
Da Xu, Chuanwei Ruan
2022 A conf
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System.
WSDM
Da Xu, Chuanwei Ruan
2022 A* conf
Towards Robust Off-Policy Learning for Runtime Uncertainty.
AAAI
Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang
2022 J jnl
Towards Robust Off-policy Learning for Runtime Uncertainty.
CoRR
Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang
2022 J jnl
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System.
CoRR
Da Xu, Chuanwei Ruan
2021 A* conf
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
ICML
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A conf
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Towards the D-Optimal Online Experiment Design for Recommender Selection.
KDD
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Towards the D-Optimal Online Experiment Design for Recommender Selection.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Understanding the role of importance weighting for deep learning.
ICLR
Da Xu, Yuting Ye, Chuanwei Ruan
2021 J jnl
Understanding the role of importance weighting for deep learning.
CoRR
Da Xu, Yuting Ye, Chuanwei Ruan
2020 A* conf
Adversarial Counterfactual Learning and Evaluation for Recommender System.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Adversarial Counterfactual Learning and Evaluation for Recommender System.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Inductive Representation Learning on Temporal Graphs.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A* conf
Inductive representation learning on temporal graphs.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A conf
Knowledge-aware Complementary Product Representation Learning.
WSDM
Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A conf
Product Knowledge Graph Embedding for E-commerce.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 Misc conf
Generative Graph Convolutional Network for Growing Graphs.
ICASSP
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Generative Graph Convolutional Network for Growing Graphs.
CoRR
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Product Knowledge Graph Embedding for E-commerce.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 A* conf
Self-attention with Functional Time Representation Learning.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Self-attention with Functional Time Representation Learning.
CoRR
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan