| Inductive Representation Learning on Temporal Graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Learning Representations, 2020 | 495 | 2020 |
| Tucker tensor regression and neuroimaging analysis X Li, D Xu, H Zhou, L Li Statistics in Biosciences 10 (3), 520-545, 2018 | 174 | 2018 |
| Self-attention with functional time representation learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in Neural Information Processing Systems, 15915-15925, 2019 | 108 | 2019 |
| Product knowledge graph embedding for e-commerce D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 98 | 2020 |
| Understanding the role of importance weighting for deep learning D Xu, Y Ye, C Ruan International Conference on Learning Representations, 2021 | 45 | 2021 |
| Adversarial Counterfactual Learning and Evaluation for Recommender System D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in Neural Information Processing Systems 33, 2020 | 30 | 2020 |
| Knowledge-aware Complementary Product Representation Learning D Xu, C Ruan, J Cho, E Korpeoglu, S Kumar, K Achan Proceedings of the 14th ACM International Conference on Web Search and Data …, 2019 | 28* | 2019 |
| Theoretical Understandings of Product Embedding for E-commerce Machine Learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 19 | 2021 |
| Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Machine Learning, 11514-11524, 2021 | 15 | 2021 |
| Generative Graph Convolutional Network for Growing Graphs D Xu, C Ruan, K Motwani, E Korpeoglu, S Kumar, K Achan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 15 | 2019 |
| Bidding via clustering ads intentions: an efficient search engine marketing system for e-commerce C Jie, D Xu, Z Wang, L Wang, W Shen arXiv preprint arXiv:2106.12700, 2021 | 13 | 2021 |
| Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 10 | 2021 |
| Causal Structure Learning with Recommendation System S Xu, D Xu, E Korpeoglu, S Kumar, S Guo, K Achan, Y Zhang arXiv preprint arXiv:2210.10256, 2022 | 6 | 2022 |
| Towards Robust Off-policy Learning for Runtime Uncertainty D Xu, Y Ye, C Ruan, B Yang AAAI Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation D Xu, Y Ye, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Learning Representations, 2021 | 4 | 2021 |
| Tutorials at The Web Conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 3 | 2023 |
| Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? D Xu, B Yang Companion Proceedings of the ACM Web Conference 2023, 899-910, 2023 | 2 | 2023 |
| Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System D Xu, C Ruan Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 2 | 2022 |
| Towards the D-Optimal Online Experiment Design for Recommender Selection D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 2 | 2021 |
| A Temporal Kernel Approach for Deep Learning with Continuous-time Information D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Learning Representations, 2021 | 2 | 2021 |
