| 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 | 164 | 2015 |
| Optimizing sentence modeling and selection for document summarization W Yin, Y Pei Twenty-fourth international joint conference on artificial intelligence, 2015 | 139 | 2015 |
| 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 | 97 | 2021 |
| 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 | 93 | 2018 |
| 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 | 81 | 2022 |
| DHNE: Network representation learning method for dynamic heterogeneous networks Y Yin, LX Ji, JP Zhang, YL Pei IEEE Access 7, 134782-134792, 2019 | 65 | 2019 |
| 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 | 60 | 2020 |
| Selfish sparse rnn training S Liu, DC Mocanu, Y Pei, M Pechenizkiy International Conference on Machine Learning, 6893-6904, 2021 | 46 | 2021 |
| 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 | 44 | 2023 |
| 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 | 34 | 2018 |
| 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 | 31 | 2022 |
| 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 | 31 | 2021 |
| 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 | 31 | 2017 |
| 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 | 30 | 2023 |
| 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 | 28 | 2018 |
| 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 | 27 | 2015 |
| 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 | 26 | 2015 |
| 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 | 23 | 2021 |
| 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 | 23 | 2017 |
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
