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Kun He
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Cited by
Year
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, 1085-1097, 2019
6412019
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
4612020
Enhancing the transferability of adversarial attacks through variance tuning
X Wang, K He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2892021
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
1602015
Admix: Enhancing the transferability of adversarial attacks
X Wang, X He, J Wang, K He
International Conference on Computer Vision, ICCV 2021, 2021
1552021
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
1482019
Natural language adversarial defense through synonym encoding
X Wang, H Jin, Y Yang, K He
37th Conference on Uncertainty in Artificial Intelligence, 2021
145*2021
Improving the generalization of adversarial training with domain adaptation
C Song, K He*, L Wang, JE Hopcroft
International Conference on Learning Representations, 2019
1412019
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
1312020
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
1152018
Hidden community detection in social networks
K He, Y Li, S Soundarajan, JE Hopcroft
Information Sciences 425, 92-106, 2018
110*2018
A caving degree approach for the single container loading problem
W Huang, K He
European Journal of Operational Research 196 (1), 93-101, 2009
1092009
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
Advances in Neural Information Processing Systems 31, 2018
1042018
Local spectral clustering for overlapping community detection
Y Li, K He, K Kloster, D Bindel, J Hopcroft
ACM Transactions on Knowledge Discovery from Data 12 (2), 1-27, 2018
1012018
TimeTraveler: Reinforcement learning for temporal knowledge graph forecasting
H Sun, J Zhong, Y Ma, Z Han, K He
The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
952021
A powerful generative model using random weights for the deep image representation
K He, Y Wang, J Hopcroft
Advances in Neural Information Processing Systems 29, 631-639, 2016
932016
Robust local features for improving the generalization of adversarial training
C Song, K He*, J Lin, L Wang, JE Hopcroft
International Conference on Learning Representations, 2020
852020
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
852015
An efficient placement heuristic for three-dimensional rectangular packing
K He, W Huang
Computers & Operations Research 38 (1), 227-233, 2011
832011
Stochastic variance reduced ensemble adversarial attack for boosting the adversarial transferability
Y Xiong, J Lin, M Zhang, JE Hopcroft, K He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
732022
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