Yulong Pei
Cited by
Cited by
Nonnegative matrix tri-factorization with graph regularization for community detection in social networks
Y Pei, N Chakraborty, K Sycara
Twenty-fourth international joint conference on artificial intelligence, 2015
Optimizing sentence modeling and selection for document summarization
W Yin, Y Pei
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Twitter rumour detection in the health domain
R Sicilia, SL Giudice, Y Pei, M Pechenizkiy, P Soda
Expert Systems with Applications 110, 33-40, 2018
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy
Neural Computing and Applications 33 (7), 2589-2604, 2021
Mining user interests from personal photos
P Xie, Y Pei, Y Xie, E Xing
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
LogRank: An approach to sample business process event log for efficient discovery
C Liu, Y Pei, Q Zeng, H Duan
International Conference on Knowledge Science, Engineering and Management …, 2018
Detection of alcoholism based on EEG signals and functional brain network features extraction
N Ahmadi, Y Pei, M Pechenizkiy
2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017
A supervised aggregation framework for multi-document summarization
Y Pei, W Yin, Q Fan
Proceedings of COLING 2012, 2225-2242, 2012
Tink: A temporal graph analytics library for apache flink
W Lightenberg, Y Pei, G Fletcher, M Pechenizkiy
Companion Proceedings of the The Web Conference 2018, 71-72, 2018
Abstraction of analytical models from cognitive models of human control of robotic swarms
K Sycara, C Lebiere, Y Pei, D Morrison, Y Tang, M Lewis
Proceedings of ICCM 2015-13th International Conference on Cognitive Modeling …, 2015
Dhne: Network representation learning method for dynamic heterogeneous networks
Y Yin, LX Ji, JP Zhang, YL Pei
IEEE Access 7, 134782-134792, 2019
A coflow-based co-optimization framework for high-performance data analytics
L Cheng, Y Wang, Y Pei, D Epema
2017 46th International Conference on Parallel Processing (ICPP), 392-401, 2017
struc2gauss: Structural role preserving network embedding via Gaussian embedding
Y Pei, X Du, J Zhang, G Fletcher, M Pechenizkiy
Data Mining and Knowledge Discovery 34 (4), 1072-1103, 2020
Health-related rumour detection on Twitter
R Sicilia, SL Giudice, Y Pei, M Pechenizkiy, P Soda
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
Selfish sparse RNN training
S Liu, DC Mocanu, Y Pei, M Pechenizkiy
arXiv preprint arXiv:2101.09048, 2021
DyNMF: Role Analytics in Dynamic Social Networks.
Y Pei, J Zhang, GHL Fletcher, M Pechenizkiy
IJCAI, 3818-3824, 2018
Sampling business process event logs using graph‐based ranking model
C Liu, Y Pei, L Cheng, Q Zeng, H Duan
Concurrency and Computation: Practice and Experience 33 (5), e5974, 2021
Structural measures of clustering quality on graph samples
J Zhang, Y Pei, GHL Fletcher, M Pechenizkiy
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
N Ahmadi, Y Pei, E Carrette, AP Aldenkamp, M Pechenizkiy
Brain informatics 7, 1-22, 2020
Node classification in dynamic social networks
Y Pei, J Zhang, GH Fletcher, M Pechenizkiy
Proceedings of AALTD, 54, 2016
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