Wei Ye
Title
Cited by
Cited by
Year
A human learning optimization algorithm and its application to multi-dimensional knapsack problems
L Wang, R Yang, H Ni, W Ye, M Fei, PM Pardalos
Applied Soft Computing 34, 736-743, 2015
412015
FUSE: Full Spectral Clustering
W Ye, S Goebl, C Plant, C Böhm
22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016
242016
A simple human learning optimization algorithm
L Wang, H Ni, R Yang, M Fei, W Ye
Computational Intelligence, Networked Systems and Their Applications, 56-65, 2014
232014
Generalized independent subspace clustering
W Ye, S Maurus, N Hubig, C Plant
2016 IEEE 16th International Conference on Data Mining (ICDM), 569-578, 2016
192016
Towards an optimal subspace for k-means
D Mautz, W Ye, C Plant, C Böhm
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
132017
Discovering non-redundant k-means clusterings in optimal subspaces
D Mautz, W Ye, C Plant, C Böhm
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
122018
Learning from labeled and unlabeled vertices in networks
W Ye, L Zhou, D Mautz, C Plant, C Böhm
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
122017
Attributed graph clustering with unimodal normalized cut
W Ye, L Zhou, X Sun, C Plant, C Böhm
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
112017
The node placement of large-scale industrial wireless sensor networks based on binary differential evolution harmony search algorithm
L Wang, W Ye, Y Mao, PG Georgiev, H Wang, M Fei
International Journal of Innovative Computing, Information and Control 9 (3 …, 2013
92013
Pareto-based multi-objective node placement of industrial wireless sensor networks using binary differential evolution harmony search
L Wang, L An, HQ Ni, W Ye, PM Pardalos, MR Fei
Advances in Manufacturing 4 (1), 66-78, 2016
82016
Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm
L Wang, W Ye, H Wang, X Fu, M Fei, IM Menhas
Computer Science and Information Systems 9 (4), 1553-1576, 2012
72012
A modified multi-objective binary particle swarm optimization algorithm
L Wang, W Ye, X Fu, MI Menhas
International Conference in Swarm Intelligence, 41-48, 2011
72011
Tree++: Truncated Tree Based Graph Kernels
W Ye, Z Wang, R Redberg, A Singh
IEEE Transactions on Knowledge and Data Engineering, 2019
32019
DeepMap: Learning Deep Representations for Graph Classification
W Ye, O Askarisichani, A Jones, A Singh
arxiv, https://arxiv.org/pdf/2004.02131.pdf, 2020
22020
Knowledge discovery of complex data using Gaussian Mixture Models
L Zhou, W Ye, C Plant, C Böhm
International Conference on Big Data Analytics and Knowledge Discovery, 409-423, 2017
22017
Novel indexing strategy and similarity measures for Gaussian Mixture Models
L Zhou, W Ye, B Wackersreuther, C Plant, C Böhm
International Conference on Database and Expert Systems Applications, 158-171, 2017
12017
Indexing multiple-instance objects
L Zhou, W Ye, Z Wang, C Plant, C Böhm
International Conference on Database and Expert Systems Applications, 143-157, 2017
12017
Learning Deep Graph Representations via Convolutional Neural Networks
W Ye, O Askarisichani, A Jones, A Singh
IEEE Transactions on Knowledge and Data Engineering, 2020
2020
Incorporating User's Preference into Attributed Graph Clustering
W Ye, D Mautz, C Böhm, A Singh, C Plant
IEEE Transactions on Knowledge and Data Engineering, 2020
2020
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans
D Mautz, W Ye, C Plant, C Bohm
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
2020
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Articles 1–20