Zhang, Zhengyan

Graph neural networks: A review of methods and applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020) · AI Open

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

Graph Neural Networks: A Review of Methods and Applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2018) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

ERNIE: Enhanced Language Representation with Informative Entities

Zhang, Z., Han, X., Liu, Z., Jiang, X., Sun, M., & Liu, Q. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingAdvanced Graph Neural Networks

Cited by 1,482

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics

Advanced Graph Neural NetworksTopic Modeling

Cited by 676

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Zhang, Z., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Advanced Neural Network ApplicationsTopic Modeling

Cited by 48

Finding Skill Neurons in Pre-trained Transformer-based Language Models

Wang, X., Wen, K., Zhang, Z., Hou, L., Liu, Z., & Li, J. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 28

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Xiao, C., Zhang, P., Han, X., Xiao, G., Lin, Y., Zhang, Z., Liu, Z., & Sun, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 14