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Guangxiang Zhao
Guangxiang Zhao
Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Understanding and improving layer normalization
J Xu, X Sun, Z Zhang, G Zhao, J Lin
NeurIPS 2019, 2019
4352019
Explicit sparse transformer: Concentrated attention through explicit selection
G Zhao, J Lin, Z Zhang, X Ren, Q Su, X Sun
arXiv preprint arXiv:1912.11637, 2019
1432019
Topology-Imbalance Learning for Semi-Supervised Node Classification
D Chen, Y Lin, G Zhao, X Ren, P Li, J Zhou, X Sun
NeurIPS 2021, 2021
982021
Muse: Parallel multi-scale attention for sequence to sequence learning
G Zhao, X Sun, J Xu, Z Zhang, L Luo
arXiv preprint arXiv:1911.09483, 2019
632019
Learning Relation Alignment for Calibrated Cross-modal Retrieval
S Ren, J Lin, G Zhao, R Men, A Yang, J Zhou, X Sun, H Yang
ACL 2021, 2021
332021
Delving into the Openness of CLIP
S Ren, L Li, X Ren, G Zhao, X Sun
Findings of ACL 2023, 2023
20*2023
Well-classified Examples are Underestimated in Classification with Deep Neural Networks
G Zhao, W Yang, X Ren, L Li, X Sun
AAAI 2022 (arXiv preprint arXiv:2110.06537), 2021
192021
Layer-Wise Multi-View Decoding for Improved Natural Language Generation
F Liu, X Ren, G Zhao, C You, X Wu, X Sun
arXiv preprint arXiv:2005.08081, 2022
18*2022
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
G Zhao, J Xu, Q Zeng, X Ren, X Sun
NAACL-HLT 2019, 2019
13*2019
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
L Li, Y Lin, X Ren, G Zhao, P Li, J Zhou, X Sun
Findings of EMNLP 2022, 2021
3*2021
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
W Yang, Y Lin, G Zhao, P Li, J Zhou, X Sun
TMLR, 2023
12023
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Articles 1–11