| Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Y Shi, Q Zhu, F Guo, C Zhang, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 73 | 2018 |
| AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks Y Shi, H Gui, Q Zhu, L Kaplan, J Han Proceedings of the 2018 SIAM International Conference on Data Mining, 2018 | 59 | 2018 |
| Graph-regularized dual Lasso for robust eQTL mapping W Cheng, X Zhang, Z Guo, Y Shi, W Wang Proceedings of the 22nd Annual International Conference on Intelligent …, 2014 | 34 | 2014 |
| mvn2vec: Preservation and collaboration in multi-view network embedding Y Shi, F Han, X He, X He, C Yang, J Luo, J Han arXiv preprint arXiv:1801.06597, 2018 | 31 | 2018 |
| PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks Y Shi, PW Chan, H Zhuang, H Gui, J Han Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 26 | 2017 |
| Meta-graph based hin spectral embedding: Methods, analyses, and insights C Yang, Y Feng, P Li, Y Shi, J Han 2018 IEEE International Conference on Data Mining (ICDM), 657-666, 2018 | 25 | 2018 |
| Characterizing and managing social network interactions S Chatterjee, Y Shi, M Kim, M Tiwari, S Ghosh, RE Rosales-Delmoral US Patent 10,148,608, 2018 | 20 | 2018 |
| Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease DA Liem, S Murali, D Sigdel, Y Shi, X Wang, J Shen, H Choi, JH Caufield, ... American Journal of Physiology-Heart and Circulatory Physiology 315 (4 …, 2018 | 13 | 2018 |
| Temporal motifs in heterogeneous information networks Y Li, Z Lou, Y Shi, J Han MLG Workshop@ KDD, 2018 | 11 | 2018 |
| Fast and robust group-wise eQTL mapping using sparse graphical models W Cheng, Y Shi, X Zhang, W Wang BMC bioinformatics 16 (1), 1-16, 2015 | 9 | 2015 |
| Ranking causal anomalies for system fault diagnosis via temporal and dynamical analysis on vanishing correlations W Cheng, J Ni, K Zhang, H Chen, G Jiang, Y Shi, X Zhang, W Wang ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-28, 2017 | 6 | 2017 |
| Dynamics of large multi-view social networks: Synergy, cannibalization and cross-view interplay Y Shi, M Kim, S Chatterjee, M Tiwari, S Ghosh, R Rosales Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 6 | 2016 |
| Discovering hypernymy in text-rich heterogeneous information network by exploiting context granularity Y Shi, J Shen, Y Li, N Zhang, X He, Z Lou, Q Zhu, M Walker, M Kim, J Han Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
| Sparse regression models for unraveling group and individual associations in eQTL mapping W Cheng, Y Shi, X Zhang, W Wang BMC bioinformatics 17 (1), 1-11, 2016 | 4 | 2016 |
| User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription Y Shi, X He, N Zhang, C Yang, J Han Proceedings of the 2019 European Conference on Machine Learning and …, 2019 | 3* | 2019 |
| Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications D Sigdel, V Kyi, A Zhang, SP Setty, DA Liem, Y Shi, X Wang, J Shen, ... Journal of visualized experiments: JoVE, 2019 | 2 | 2019 |
| Harnessing heterogeneous association in real-world networks Y Shi University of Illinois at Urbana-Champaign, 2019 | | 2019 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
