Jieyu Zhang
Citée par
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A Survey on Graph Structure Learning: Progress and Opportunities
Y Zhu, W Xu, J Zhang, Y Du, J Zhang, Q Liu, C Yang, S Wu
arXiv preprint arXiv:2103.03036, 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner
35th Conference on Neural Information Processing Systems (NeurIPS 2021 …, 2021
Relation learning on social networks with multi-modal graph edge variational autoencoders
C Yang, J Zhang, H Wang, S Li, M Kim, M Walker, Y Xiao, J Han
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Co-embedding network nodes and hierarchical labels with taxonomy based generative adversarial networks
C Yang, J Zhang, J Han
2020 IEEE International Conference on Data Mining (ICDM), 721-730, 2020
A Survey on Programmatic Weak Supervision
J Zhang, CY Hsieh, Y Yu, C Zhang, A Ratner
arXiv preprint arXiv:2202.05433, 2022
Neural embedding propagation on heterogeneous networks
C Yang, J Zhang, J Han
2019 IEEE International Conference on Data Mining (ICDM), 698-707, 2019
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
H Wang, J Zhang, Q Zhu, W Huang
arXiv preprint arXiv:2211.10890, 2022
Taxonomy Completion via Triplet Matching Network
J Zhang, X Song, Y Zeng, J Chen, J Shen, Y Mao, L Li
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization
C Yang, J Zhang, H Wang, B Li, J Han
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
CY Hsieh, J Zhang, A Ratner
arXiv preprint arXiv:2203.01382, 2022
Creating Training Sets via Weak Indirect Supervision
J Zhang, B Wang, X Song, Y Wang, Y Yang, J Bai, A Ratner
International Conference on Learning Representations (ICLR 2022), 2021
A Survey on Deep Graph Generation: Methods and Applications
Y Zhu, Y Du, Y Wang, Y Xu, J Zhang, Q Liu, S Wu
arXiv preprint arXiv:2203.06714, 2022
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
X Song, J Shen, J Zhang, J Han
SSL@WWW2021, 2021
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models
Y Yu, L Kong, J Zhang, R Zhang, C Zhang
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD
B Wang, H Zhang, J Zhang, Q Meng, W Chen, TY Liu
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
Cubenet: Multi-facet hierarchical heterogeneous network construction, analysis, and mining
C Yang, D Teng, S Liu, S Basu, J Zhang, J Shen, C Zhang, J Shang, ...
The ACM International Conference on Knowledge Discovery and Data Mining (KDD …, 2019
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang
arXiv preprint arXiv:2209.06995, 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
J Zhang, H Wang, CY Hsieh, A Ratner
arXiv preprint arXiv:2205.12879, 2022
ChemSpacE: Toward Steerable and Interpretable Chemical Space Exploration
Y Du, X Liu, S Liu, J Zhang, B Zhou
ICLR2022 Machine Learning for Drug Discovery, 2022
Learning Hyper Label Model for Programmatic Weak Supervision
R Wu, SE Chen, J Zhang, X Chu
arXiv preprint arXiv:2207.13545, 2022
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