Kezhen Chen
Kezhen Chen
Verified email at u.northwestern.edu
Title
Cited by
Cited by
Year
Automanner: An automated interface for making public speakers aware of their mannerisms
MI Tanveer, R Zhao, K Chen, Z Tiet, ME Hoque
Proceedings of the 21st International Conference on Intelligent User …, 2016
462016
Who are the devils wearing prada in new york city?
KT Chen, K Chen, P Cong, WH Hsu, J Luo
Proceedings of the 23rd ACM international conference on Multimedia, 177-180, 2015
272015
Human-Like Sketch Object Recognition via Analogical Learning
K Chen, I Rabkina, M McLure, K Forbus
the Thirty-Third AAAI Conference on Artificial Intelligence 33, 1336-1343, 2019
152019
mapping natural language problems to formal language solutions
K Chen, Q Huang, H Palangi, P Smolensky, K Forbus, J Gao
Thirty-seventh International Conference on Machine Learning, 2020
102020
Action recognition from skeleton data via analogical generalization over qualitative representations
K Chen, K Forbus
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
92018
Action recognition from skeleton data via analogical generalization
K Chen, KD Forbus
Proc. 30th International Workshop on Qualitative Reasoning, 2017
72017
Analogical Question Answering in a Multimodal Information Kiosk
JR Wilson, K Chen, M Crouse, C Nakos, DN Ribeiro, I Rabkina, ...
Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems, 2019
42019
Natural-to formal-language generation using tensor product representations
K Chen, Q Huang, H Palangi, P Smolensky, KD Forbus, J Gao
32019
Simulating infant visual learning by comparison: an initial model.
K Chen
Proceedings of the 42nd Annual Conference of the Cognitive Science Society., 2020
12020
Visual Relation Detection using Hybrid Analogical Learning
K Chen, K Forbus
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 801-808, 2021
2021
USING TENSOR PRODUCT REPRESENTATIONS
K Chen, Q Huang, H Palangi, P Smolensky, KD Forbus, J Gao
arXiv preprint arXiv:1910.02339, 2019
2019
Learning Inference Rules with Neural TP-Reasoner
K Chen, Q Huang, P Smolensky, K Forbus, J Gao
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Articles 1–12