Kun He
Cited by
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Generating natural language adversarial examples through probability weighted word saliency
S Ren, Y Deng, K He*, W Che
57th Annual Meeting of the Association for Computational Linguistics (ACL …, 2019
Uncovering the small community structure in large networks: A local spectral approach
Y Li, K He, D Bindel, JE Hopcroft
Proceedings of the 24th International Conference on World Wide Web, 658-668, 2015
A caving degree approach for the single container loading problem
W Huang, K He
European Journal of Operational Research 196 (1), 93-101, 2009
A powerful generative model using random weights for the deep image representation
K He, Y Wang, J Hopcroft
30th Annual Conference on Neural Information Processing Systems, 631-639, 2016
An efficient placement heuristic for three-dimensional rectangular packing
K He, W Huang
Computers & Operations Research 38 (1), 227-233, 2011
Improving the generalization of adversarial training with domain adaptation
C Song, K He*, L Wang, JE Hopcroft
2019 International Conference on Learning Representations (ICLR ), 2019
Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem
J Liu, H Zhang, K He, S Jiang
Expert Systems with Applications 102, 179-192, 2018
Adversarially robust generalization just requires more unlabeled data
R Zhai, T Cai, D He, C Dan, K He, J Hopcroft, L Wang
arXiv preprint arXiv:1906.00555, 2019
Hidden community detection in social networks
K He, Y Li, S Soundarajan, JE Hopcroft
Information Sciences 425, 92-106, 2018
Detecting overlapping communities from local spectral subspaces
K He, Y Sun, D Bindel, J Hopcroft, Y Li
2015 IEEE international conference on data mining, 769-774, 2015
An efficient deterministic heuristic for two-dimensional rectangular packing
K He, W Huang, Y Jin
Computers & Operations Research 39 (7), 1355-1363, 2012
Nesterov accelerated gradient and scale invariance for adversarial attacks
J Lin, C Song, K He*, L Wang, JE Hopcroft:
International Conference on Learning Representations, 2020
Local spectral clustering for overlapping community detection
Y Li, K He, K Kloster, D Bindel, J Hopcroft
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 1-27, 2018
Towards understanding learning representations: To what extent do different neural networks learn the same representation
L Wang, L Hu, J Gu, Z Hu, Y Wu, K He, J Hopcroft
31th Annual Conference on Neural Information Processing Systems, 2018
Iterated tabu search and variable neighborhood descent for packing unequal circles into a circular container
Z Zeng, X Yu, K He, W Huang, Z Fu
European Journal of Operational Research 250 (2), 615-627, 2016
Natural language adversarial attacks and defenses in word level
X Wang, H Jin, K He
arXiv preprint, arXiv:1909.06723, 2019
A coarse-to-fine quasi-physical optimization method for solving the circle packing problem with equilibrium constraints
K He, D Mo, T Ye, W Huang
Computers & Industrial Engineering 66 (4), 1049-1060, 2013
A new heuristic algorithm for cuboids packing with no orientation constraints
W Huang, K He
Computers & Operations Research 36 (2), 425-432, 2009
Heuristics for two-dimensional strip packing problem with 90° rotations
K He, Y Jin, W Huang
Expert systems with applications 40 (14), 5542-5550, 2013
Single image reflection removal through cascaded refinement
C Li, Y Yang, K He*, S Lin, JE Hopcroft
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
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