| Truth finding on the deep web: Is the problem solved? X Li, XL Dong, K Lyons, W Meng, D Srivastava arXiv preprint arXiv:1503.00303, 2015 | 414 | 2015 |
| Autoknow: Self-driving knowledge collection for products of thousands of types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 97 | 2020 |
| T-verifier: Verifying truthfulness of fact statements X Li, W Meng, C Yu 2011 IEEE 27th International Conference on Data Engineering (ICDE), 63-74, 2011 | 79 | 2011 |
| Efficient knowledge graph accuracy evaluation J Gao, X Li, YE Xu, B Sisman, XL Dong, J Yang arXiv preprint arXiv:1907.09657, 2019 | 74 | 2019 |
| Scaling up Copy Detection X Li, XL Dong, KB Lyons, W Meng, D Srivastava International Conference on Data Engineering (ICDE), 89-100, 2015 | 47 | 2015 |
| Survey of Web communities identification. N Yang, D Gong, X Li, X Meng Journal of Computer Research and Development 42 (3), 439-447, 2005 | 44* | 2005 |
| All you need to know to build a product knowledge graph N Zalmout, C Zhang, X Li, Y Liang, XL Dong Proceedings of the 27th ACM SIGKDD Conference on knowledge discovery & data …, 2021 | 28 | 2021 |
| Oa-mine: Open-world attribute mining for e-commerce products with weak supervision X Zhang, C Zhang, X Li, XL Dong, J Shang, C Faloutsos, J Han Proceedings of the ACM Web Conference 2022, 3153-3161, 2022 | 27 | 2022 |
| Memoryllm: Towards self-updatable large language models Y Wang, Y Gao, X Chen, H Jiang, S Li, J Yang, Q Yin, Z Li, X Li, B Yin, ... arXiv preprint arXiv:2402.04624, 2024 | 20 | 2024 |
| Automatic validation of textual attribute values in e-commerce catalog by learning with limited labeled data Y Wang, YE Xu, X Li, XL Dong, J Gao Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 18 | 2020 |
| Pge: Robust product graph embedding learning for error detection K Cheng, X Li, YE Xu, XL Dong, Y Sun arXiv preprint arXiv:2202.09747, 2022 | 14 | 2022 |
| Inductive or deductive? Rethinking the fundamental reasoning abilities of LLMs K Cheng, J Yang, H Jiang, Z Wang, B Huang, R Li, S Li, Z Li, Y Gao, X Li, ... arXiv preprint arXiv:2408.00114, 2024 | 13 | 2024 |
| Generative models for product attribute extraction A Blume, N Zalmout, H Ji, X Li Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 13 | 2023 |
| EasyQuerier: a keyword based interface for web database integration system X Li, W Meng, X Meng Advances in Databases: Concepts, Systems and Applications: 12th …, 2007 | 13 | 2007 |
| Concept2Box: Joint geometric embeddings for learning two-view knowledge graphs Z Huang, D Wang, B Huang, C Zhang, J Shang, Y Liang, Z Wang, X Li, ... arXiv preprint arXiv:2307.01933, 2023 | 12 | 2023 |
| Ask-and-verify: Span candidate generation and verification for attribute value extraction Y Ding, Y Liang, N Zalmout, X Li, C Grant, T Weninger Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 11 | 2022 |
| Verification of Fact Statements with Multiple Truthful Alternatives X Li, W Meng, Y Clement 12th International Conference on Web Information Systems and Technologies, 2016 | 11 | 2016 |
| Prototype-representations for training data filtering in weakly-supervised information extraction N Zalmout, X Li EMNLP, 2022 | 7 | 2022 |
| Towards open-world product attribute mining: A lightly-supervised approach L Xu, C Zhang, X Li, J Shang, JD Choi arXiv preprint arXiv:2305.18350, 2023 | 6 | 2023 |
| PV2TEA: Patching visual modality to textual-established information extraction H Cui, R Lin, N Zalmout, C Zhang, J Shang, C Yang, X Li arXiv preprint arXiv:2306.01016, 2023 | 5 | 2023 |
Xin Luna DongACM / IEEE Fellow, Principal Scientist at Meta在 fb.com 的電子郵件地址已通過驗證
