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Gaojian Fan
Gaojian Fan
Ph.D. Student, Computing Science, University of Alberta
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
Recursive teaching dimension, VC-dimension and sample compression
T Doliwa, G Fan, HU Simon, S Zilles
The Journal of Machine Learning Research 15 (1), 3107-3131, 2014
672014
Non-linear merging strategies for merge-and-shrink based on variable interactions
G Fan, M Müller, R Holte
Seventh Annual Symposium on Combinatorial Search, 2014
212014
The two-edged nature of diverse action costs
G Fan, M Müller, R Holte
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
72017
MS-Lite: A lightweight, complementary merge-and-shrink method
G Fan, R Holte, M Müller
Proceedings of the International Conference on Automated Planning and …, 2018
52018
Additive Merge-and-Shrink Heuristics for Diverse Action Costs
G Fan, M Müller, R Holte
International Joint Conference on Artificial Intelligence, 4287-4293, 2017
52017
A graph-theoretic view of teaching
G Fan
The University of Regina (Canada), 2012
52012
State space abstraction in artificial intelligence and operations research
RC Holte, G Fan
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
42015
The spurious path problem in abstraction
G Fan, R Holte
International Symposium on Combinatorial Search 6 (1), 2015
22015
Understanding and Improving Merge-and-Shrink Abstraction for Cost Optimal Planning
G Fan
2019
Diverse Action Costs in Heuristic Search and Planning
G Fan
Canadian Conference on Artificial Intelligence, 399-402, 2017
2017
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Articles 1–10