| 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 | 114 | 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, 144-152, 2018 | 89 | 2018 |
| Heterogeneous supervision for relation extraction: A representation learning approach L Liu, X Ren, Q Zhu, S Zhi, H Gui, H Ji, J Han arXiv preprint arXiv:1707.00166, 2017 | 76 | 2017 |
| Collective multi-type entity alignment between knowledge graphs Q Zhu, H Wei, B Sisman, D Zheng, C Faloutsos, XL Dong, J Han Proceedings of The Web Conference 2020, 2241-2252, 2020 | 35 | 2020 |
| Transfer learning of graph neural networks with ego-graph information maximization Q Zhu, C Yang, Y Xu, H Wang, C Zhang, J Han Advances in Neural Information Processing Systems 34, 2021 | 32 | 2021 |
| Unsupervised differentiable multi-aspect network embedding C Park, C Yang, Q Zhu, D Kim, H Yu, J Han Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 24 | 2020 |
| Task-guided pair embedding in heterogeneous network C Park, D Kim, Q Zhu, J Han, H Yu Proceedings of the 28th ACM international conference on information and …, 2019 | 24 | 2019 |
| Life-inet: A structured network-based knowledge exploration and analytics system for life sciences X Ren, J Shen, M Qu, X Wang, Z Wu, Q Zhu, M Jiang, F Tao, S Sinha, ... Proceedings of ACL 2017, System Demonstrations, 55-60, 2017 | 23 | 2017 |
| Shift-robust gnns: Overcoming the limitations of localized graph training data Q Zhu, N Ponomareva, J Han, B Perozzi Advances in Neural Information Processing Systems 34, 27965-27977, 2021 | 19 | 2021 |
| Integrating local context and global cohesiveness for open information extraction Q Zhu, X Ren, J Shang, Y Zhang, A El-Kishky, J Han Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 17* | 2019 |
| 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 | 16 | 2019 |
| Expert finding in heterogeneous bibliographic networks with locally-trained embeddings H Gui, Q Zhu, L Liu, A Zhang, J Han arXiv preprint arXiv:1803.03370, 2018 | 15 | 2018 |
| Augmentation-free graph contrastive learning H Wang, J Zhang, Q Zhu, W Huang arXiv preprint arXiv:2204.04874, 2022 | 11 | 2022 |
| Wikidata Vandalism Detection-The Loganberry Vandalism Detector at WSDM Cup 2017 Q Zhu, H Ng, L Liu, Z Ji, B Jiang, J Shen, H Gui arXiv preprint arXiv:1712.06922, 2017 | 6 | 2017 |
| Ensemble Models for Detecting Wikidata Vandalism with Stacking-Team Honeyberry Vandalism Detector at WSDM Cup 2017 T Yamazaki, M Sasaki, N Murakami, T Makabe, H Iwasawa arXiv preprint arXiv:1712.06921, 2017 | 5 | 2017 |
| Systems and methods for articulated pose estimation Z Cao, Q Zhu, Y Sheikh, SE Chelian US Patent 10,535,155, 2020 | 3 | 2020 |
| AutoNet: automated network construction and exploration system from domain-specific corpora J Shang, Q Zhu, J Shen, X Wang, X Gu, L Kaplan, T Harratty, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 3 | 2018 |
| Facet-aware evaluation for extractive text summarization Y Mao, L Liu, Q Zhu, X Ren, J Han Journal of Environmental Sciences (China) English Ed, 2019 | 2 | 2019 |
| Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks B Jin, Y Zhang, Q Zhu, J Han arXiv preprint arXiv:2205.10282, 2022 | 1 | 2022 |
| SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization Q Zhu, F Guo, J Tian, Y Mao, J Han Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 1 | 2021 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisAdresse e-mail validée de cs.uiuc.edu
