Kun Qian
Kun Qian
Apple; ex-Amazon; ex-IBM Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Designing Interactive Systems Conference 2021, 1591-1602, 2021
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
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
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
Systemer: A human-in-the-loop system for explainable entity resolution
K Qian, L Popa, P Sen
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
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
26th International Conference on Intelligent User Interfaces-Companion, 78-80, 2021
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
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
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
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
A fast associative mining system based on search engine and concept graph for large-scale financial report texts
K Qian, S Hirokawa, K Ejima, X Du
2010 2nd IEEE International Conference on Information and Financial …, 2010
A traffic flow prediction model based on ordered logistic regression
W Li, C Li, X Du, K Qian, H Zhang, D Hou
6th International Conference on Digital Content, Multimedia Technology and …, 2010
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
Xait: An interactive website for explainable ai for text
E Oduor, K Qian, Y Li, L Popa
Proceedings of the 25th International Conference on Intelligent User …, 2020
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
Tutorial on explainability for natural language processing
S Dhanorkar, CT Wolf, K Qian, A Xu, L Popa, Y Li
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
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