Generative Graph Convolutional Network for Growing Graphs. - Da Xu; Chuanwei Ruan; Kamiya Motwani; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICASSP, 2019)

Self-attention with Functional Time Representation Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 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)

Inductive representation learning on temporal graphs. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2020)

Adversarial Counterfactual Learning and Evaluation for Recommender System. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (NeurIPS, 2020)

Knowledge-aware Complementary Product Representation Learning. - Da Xu; Chuanwei Ruan; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

Product Knowledge Graph Embedding for E-commerce. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2020)

A Temporal Kernel Approach for Deep Learning with Continuous-time Information. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2021)

Understanding the role of importance weighting for deep learning. - Da Xu; Yuting Ye; Chuanwei Ruan (ICLR, 2021)

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICML, 2021)

Towards the D-Optimal Online Experiment Design for Recommender Selection. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (KDD, 2021)

Theoretical Understandings of Product Embedding for E-commerce Machine Learning. - Da Xu; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (WSDM, 2021)

Towards Robust Off-Policy Learning for Runtime Uncertainty. - Da Xu; Yuting Ye; Chuanwei Ruan; Bo Yang (AAAI, 2022)

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. - Da Xu; Yuting Ye; Chuanwei Ruan; Evren Körpeoglu; Sushant Kumar; Kannan Achan (ICLR, 2022)

Modern Theoretical Tools for Designing Information Retrieval System. - Da Xu; Chuanwei Ruan (KDD, 2022)

Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. - Da Xu; Chuanwei Ruan (WSDM, 2022)

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. - Da Xu; Yuting Ye; Chuanwei Ruan (CoRR, 2022)

Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. - Da Xu; Chuanwei Ruan (CoRR, 2022)

Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. - Chuanwei Ruan; Allan Stewart; Han Li; Ryan Ye; David Vengerov; Haixun Wang (WWW (Companion Volume), 2023)

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. - Da Xu; Danqing Zhang; Chuanwei Ruan; Lingling Zheng; Bo Yang 062; Guangyu Yang; Shuyuan Xu; Haixun Wang (WWW (Companion Volume), 2025)