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Qi Zhu
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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
1142018
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
892018
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
762017
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
352020
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
322021
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
242020
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
242019
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
232017
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
192021
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
162019
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
152018
Augmentation-free graph contrastive learning
H Wang, J Zhang, Q Zhu, W Huang
arXiv preprint arXiv:2204.04874, 2022
112022
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
62017
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
52017
Systems and methods for articulated pose estimation
Z Cao, Q Zhu, Y Sheikh, SE Chelian
US Patent 10,535,155, 2020
32020
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
32018
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
22019
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
12022
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
12021
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