Chuanwei Ruan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 30

Top Topics

Information Retrieval

Graph Embedding

Theoretical Perspectives

Top Venues

Publications

Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang
Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. WWW (Companion Volume) (2023)
Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang
Towards Robust Off-Policy Learning for Runtime Uncertainty. AAAI (2022)
Da Xu, Yuting Ye, Chuanwei Ruan
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. CoRR (2022)
Da Xu, Chuanwei Ruan
Modern Theoretical Tools for Designing Information Retrieval System. KDD (2022)
Da Xu, Chuanwei Ruan
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. CoRR (2022)
Da Xu, Chuanwei Ruan
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. WSDM (2022)
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR (2022)
Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang
Towards Robust Off-policy Learning for Runtime Uncertainty. CoRR (2022)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR (2021)
Da Xu, Yuting Ye, Chuanwei Ruan
Understanding the role of importance weighting for deep learning. CoRR (2021)
Da Xu, Yuting Ye, Chuanwei Ruan
Understanding the role of importance weighting for deep learning. ICLR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD (2021)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS (2020)
Da Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge-aware Complementary Product Representation Learning. WSDM (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. WSDM (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive representation learning on temporal graphs. ICLR (2020)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Inductive Representation Learning on Temporal Graphs. CoRR (2020)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. ICASSP (2019)
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
Self-attention with Functional Time Representation Learning. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Self-attention with Functional Time Representation Learning. NeurIPS (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR (2019)
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Generative Graph Convolutional Network for Growing Graphs. CoRR (2019)
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Product Knowledge Graph Embedding for E-commerce. CoRR (2019)