Shengding Hu
Shengding Hu
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Graph neural networks: A review of methods and applications
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun
AI Open 1, 57-81, 2020
Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification
S Hu, N Ding, H Wang, Z Liu, J Li, M Sun
ACL2022 main conference, 2021
Graph Policy Network for Transferable Active Learning on Graphs
S Hu, Z Xiong, M Qu, X Yuan, MA Côté, Z Liu, J Tang
NeurIPS'20, 2020
Openprompt: An open-source framework for prompt-learning
N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun
arXiv preprint arXiv:2111.01998, 2021
KACC: A multi-task benchmark for knowledge abstraction, concretization and completion
J Zhou, S Hu, X Lv, C Yang, Z Liu, W Xu, J Jiang, J Li, M Sun
arXiv preprint arXiv:2004.13631, 2020
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ...
arXiv preprint arXiv:2203.06904, 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
G Cui, S Hu, N Ding, L Huang, Z Liu
arXiv preprint arXiv:2203.09770, 2022
AI Open
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun
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