Chuanwei Ruan

According to our database, Chuanwei Ruan authored at least 19 papers between 2019 and 2023.

Collaborative distances:

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

2023

Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart.

Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System.

Da Xu, Chuanwei Ruan

CoRR, 2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.

Da Xu, Yuting Ye, Chuanwei Ruan

CoRR, 2022

Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System.

Da Xu, Chuanwei Ruan

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Modern Theoretical Tools for Designing Information Retrieval System.

Da Xu, Chuanwei Ruan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.

Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Robust Off-Policy Learning for Runtime Uncertainty.

Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Theoretical Understandings of Product Embedding for E-commerce Machine Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '21, 2021

Towards the D-Optimal Online Experiment Design for Recommender Selection.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding the role of importance weighting for deep learning.

Da Xu, Yuting Ye, Chuanwei Ruan

Proceedings of the 9th International Conference on Learning Representations, 2021

A Temporal Kernel Approach for Deep Learning with Continuous-time Information.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Product Knowledge Graph Embedding for E-commerce.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Knowledge-aware Complementary Product Representation Learning.

Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Adversarial Counterfactual Learning and Evaluation for Recommender System.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Inductive representation learning on temporal graphs.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2019

Self-attention with Functional Time Representation Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Graph Convolutional Network for Growing Graphs.

Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Acoustics, 2019