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Yulong Pei
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Year
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
1652015
Optimizing sentence modeling and selection for document summarization
W Yin, Y Pei
Twenty-fourth international joint conference on artificial intelligence, 2015
1392015
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, 2589-2604, 2021
972021
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
942018
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks
Y Pei, T Huang, W van Ipenburg, M Pechenizkiy
Machine Learning 111 (2), 519-541, 2022
812022
DHNE: Network representation learning method for dynamic heterogeneous networks
Y Yin, LX Ji, JP Zhang, YL Pei
IEEE Access 7, 134782-134792, 2019
652019
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
592020
Selfish sparse rnn training
S Liu, DC Mocanu, Y Pei, M Pechenizkiy
International Conference on Machine Learning, 6893-6904, 2021
462021
Are ChatGPT and GPT-4 general-purpose solvers for financial text analytics? A study on several typical tasks
X Li, S Chan, X Zhu, Y Pei, Z Ma, X Liu, S Shah
arXiv preprint arXiv:2305.05862, 2023
452023
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
342018
Hop-count based self-supervised anomaly detection on attributed networks
T Huang, Y Pei, V Menkovski, M Pechenizkiy
Joint European conference on machine learning and knowledge discovery in …, 2022
312022
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
312021
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
312017
DocLLM: A layout-aware generative language model for multimodal document understanding
D Wang, N Raman, M Sibue, Z Ma, P Babkin, S Kaur, Y Pei, ...
arXiv preprint arXiv:2401.00908, 2023
302023
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, 1072-1103, 2020
28*2020
LogRank: An approach to sample business process event log for efficient discovery
C Liu, Y Pei, Q Zeng, H Duan
Knowledge Science, Engineering and Management: 11th International Conference …, 2018
282018
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
282015
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
272015
A survey on role-oriented network embedding
P Jiao, X Guo, T Pan, W Zhang, Y Pei, L Pan
IEEE Transactions on Big Data 8 (4), 933-952, 2021
232021
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
232017
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