Kun Qian
Kun Qian
Research Scientist at IBM Research - Almaden
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
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
272017
Low-resource Deep Entity Resolution with Transfer and Active Learning
J Kasai, K Qian, S Gurajada, Y Li, L Popa
ACL 2019, 5851–5861, 2019
152019
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), 12, 2017
152017
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
152010
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
62018
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
62010
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
52010
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
42018
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
42018
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
32018
SystemER: A Human-in-the-loop System for Explainable Entity Resolution
K Qian, L Popa, P Sen
Proceedings of the VLDB Endowment 12 (12), 2019
22019
Data analysis of roadway attributes' influences upon speed of small car on mountain highway through clustering algorithm
K Qian, X Du, W Li, H Sun, C Li, D Hou
2010 2nd IEEE International Conference on Information and Financial …, 2010
12010
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
2020
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
2020
Entity structured representation and variant generation
N Bhutani, M Hernandez-Sherrington, Y Li, M Li, K Qian
US Patent 10,585,986, 2020
2020
PARTNER: Human-in-the-loop Entity Name Understanding with Deep Learning
K Qian, PC Raman, Y Li, L Popa
AAAI 2020, 2020
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
2019
Learning Models For Entity Resolution Using Active Learning
K Qian, L Popa, P Sen, M Li
US Patent App. 15/947,166, 2019
2019
Knowledge Refinement via Rule Selection
P Kolaitis, L Popa, K Qian
AAAI 2019 33 (01), 2886-2894, 2019
2019
Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER
K Qian, D Burdick, S Gurajada, L Popa
Proceedings of the 5th Workshop on Data Science for Macro-modeling with …, 2019
2019
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