| 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 | 82 | 2020 |
| AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding J Yan, N Zalmout, Y Liang, C Grant, X Ren, XL Dong arXiv preprint arXiv:2106.02318, 2021 | 39 | 2021 |
| PAM: understanding product images in cross product category attribute extraction R Lin, X He, J Feng, N Zalmout, Y Liang, L Xiong, XL Dong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 27 | 2021 |
| Adaptive scalable pipelines for political event data generation Y Liang, A Halterman, J Irvine, M Landis, P Jalla, C Grant, M Solaimani 2017 IEEE International Conference on Big Data (Big Data), 2879-2883, 2017 | 17 | 2017 |
| 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 | 16 | 2021 |
| New techniques for coding political events across languages Y Liang, K Jabr, C Grant, J Irvine, A Halterman 2018 IEEE International Conference on Information Reuse and Integration (IRI …, 2018 | 9 | 2018 |
| 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 | 6 | 2022 |
| Creating an automated event data system for arabic text A Halterman, J Irvine, C Grant, K Jabr, Y Liang ISA Annual Meeting San Francisco, 2018 | 5 | 2018 |
| formalizing interruptible algorithms for human over-the-loop analytics A Graham, Y Liang, L Gruenwald, C Grant 2017 IEEE International Conference on Big Data (Big Data), 4378-4383, 2017 | 4 | 2017 |
| 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 | 3 | 2023 |
| Scaling up Labeling, Mining, and Inferencing on Event Extraction Y Liang University of Oklahoma, 2022 | 1 | 2022 |
| TAED: Topic-Aware Event Detection Y Liang, C Grant 2022 IEEE International Conference on Big Data (Big Data), 2022 | | 2022 |
Christan GrantAssociate Professor, University of FloridaVerified email at ufl.edu
