| A survey of the state of explainable AI for natural language processing M Danilevsky, K Qian, R Aharonov, Y Katsis, B Kawas, P Sen arXiv preprint arXiv:2010.00711, 2020 | 489 | 2020 |
| Low-resource deep entity resolution with transfer and active learning J Kasai, K Qian, S Gurajada, Y Li, L Popa arXiv preprint arXiv:1906.08042, 2019 | 178 | 2019 |
| Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle S Dhanorkar, CT Wolf, K Qian, A Xu, L Popa, Y Li Proceedings of the 2021 ACM Designing Interactive Systems Conference, 1591-1602, 2021 | 120 | 2021 |
| Active learning for large-scale entity resolution K Qian, L Popa, P Sen Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 100 | 2017 |
| A prediction model for vehicle sideslip angle based on neural network X Du, H Sun, K Qian, Y Li, L Lu 2010 2nd IEEE International Conference on Information and Financial …, 2010 | 33 | 2010 |
| Active learning of GAV schema mappings B Ten Cate, PG Kolaitis, K Qian, WC Tan Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018 | 29 | 2018 |
| XNLP: A living survey for XAI research in natural language processing K Qian, M Danilevsky, Y Katsis, B Kawas, E Oduor, L Popa, Y Li Companion Proceedings of the 26th International Conference on Intelligent …, 2021 | 28 | 2021 |
| Answering complex questions by combining information from curated and extracted knowledge bases N Bhutani, X Zheng, K Qian, Y Li, H Jagadish Proceedings of the first workshop on natural language interfaces, 1-10, 2020 | 27 | 2020 |
| Approximation algorithms for schema-mapping discovery from data examples BT Cate, PG Kolaitis, K Qian, WC Tan ACM Transactions on Database Systems (TODS) 42 (2), 1-41, 2017 | 26 | 2017 |
| Systemer: A human-in-the-loop system for explainable entity resolution K Qian, L Popa, P Sen Proceedings of the VLDB Endowment 12 (12), 1794-1797, 2019 | 24 | 2019 |
| Explainability for natural language processing M Danilevsky, S Dhanorkar, Y Li, L Popa, K Qian, A Xu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 23 | 2021 |
| FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge FF Bayat, K Qian, B Han, Y Sang, A Belyi, S Khorshidi, F Wu, IF Ilyas, Y Li EMNLP 2023, 2023 | 18 | 2023 |
| Learning structured representations of entity names using active learning and weak supervision K Qian, PC Raman, Y Li, L Popa arXiv preprint arXiv:2011.00105, 2020 | 16 | 2020 |
| Learning-based methods with human-in-the-loop for entity resolution S Gurajada, L Popa, K Qian, P Sen Proceedings of the 28th ACM International Conference on Information and …, 2019 | 16 | 2019 |
| Exploiting structure in representation of named entities using active learning N Bhutani, K Qian, Y Li, HV Jagadish, M Hernandez, M Vasa Proceedings of the 27th International Conference on Computational …, 2018 | 11 | 2018 |
| Partner: Human-in-the-loop entity name understanding with deep learning K Qian, PC Raman, Y Li, L Popa Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13634 …, 2020 | 10 | 2020 |
| Lustre: An interactive system for entity structured representation and variant generation K Qian, N Bhutani, Y Li, HV Jagadish, M Hernandez 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1613-1616, 2018 | 10 | 2018 |
| Xait: An interactive website for explainable ai for text E Oduor, K Qian, Y Li, L Popa Companion Proceedings of the 25th International Conference on Intelligent …, 2020 | 7 | 2020 |
| Current market top business scopes trend—a concurrent text and time series active learning study of nasdaq and nyse stocks from 2012 to 2017 X Du, L Deng, K Qian Applied Sciences 8 (5), 751, 2018 | 7 | 2018 |
| Time Sensitive Knowledge Editing through Efficient Finetuning X Ge, A Mousavi, E Grave, A Joulin, K Qian, B Han, M Arefiyan, Y Li arXiv preprint arXiv:2406.04496, 2024 | 6 | 2024 |
Lucian PopaIBM Almaden Research Center在 us.ibm.com 的电子邮件经过验证
