| Inductive representation learning on temporal graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 2020 | 716 | 2020 |
| Self-attention with functional time representation learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in neural information processing systems 32, 2019 | 141 | 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 | 117 | 2020 |
| Understanding the role of importance weighting for deep learning D Xu, Y Ye, C Ruan arXiv preprint arXiv:2103.15209, 2021 | 55 | 2021 |
| Knowledge-aware Complementary Product Representation Learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:1904.12574, 2019 | 35* | 2019 |
| 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, 13515-13526, 2020 | 34 | 2020 |
| 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 | 21 | 2021 |
| 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 | 21 | 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 | 18 | 2019 |
| Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 16 | 2021 |
| Inductive representation learning on temporal graphs. arXiv 2020 D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 0 | 14 | |
| Towards robust off-policy learning for runtime uncertainty D Xu, Y Ye, C Ruan, B Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10101 …, 2022 | 6 | 2022 |
| From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation D Xu, Y Ye, C Ruan arXiv preprint arXiv:2203.13956, 2022 | 5 | 2022 |
| A temporal kernel approach for deep learning with continuous-time information D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2103.15213, 2021 | 5 | 2021 |
| 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 | 4 | 2022 |
| Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart C Ruan, A Stewart, H Li, R Ye, D Vengerov, H Wang Companion Proceedings of the ACM Web Conference 2023, 983-987, 2023 | 3 | 2023 |
| Sensor-based semantic-level human activity recognition using temporal classification W Gao, C Ruan, R Xu Technical report, Stanford University2016, 2016 | 3 | 2016 |
| 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 |
| Automatically generating similar items using spectral filtering D Xu, V Mani, R Chuanwei, S Kumar, K Achan US Patent App. 17/163,510, 2022 | 1 | 2022 |
| Generating recommendations using adversarial counterfactual learning and evaluation D Xu, R Chuanwei, S Kumar, E Korpeoglu, K Achan US Patent App. 17/163,398, 2022 | 1 | 2022 |
