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2020 – today
- 2023
[j1]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)- [c7]Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Delving into the Openness of CLIP. ACL (Findings) 2023: 9587-9606 - [i12]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR abs/2301.10400 (2023) - 2022
- [c6]Guangxiang Zhao
, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun:
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. AAAI 2022: 9180-9189 - [c5]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [i11]Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Rethinking the Openness of CLIP. CoRR abs/2206.01986 (2022) - [i10]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - 2021
- [c4]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) 2021: 514-524 - [c3]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [i9]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR abs/2105.13868 (2021) - [i8]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i7]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun:
Well-classified Examples are Underestimated in Classification with Deep Neural Networks. CoRR abs/2110.06537 (2021) - [i6]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - 2020
- [i5]Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. CoRR abs/2005.08081 (2020)
2010 – 2019
- 2019
- [c2]Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun:
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. NAACL-HLT (1) 2019: 2884-2891 - [c1]Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin:
Understanding and Improving Layer Normalization. NeurIPS 2019: 4383-4393 - [i4]Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin:
Understanding and Improving Layer Normalization. CoRR abs/1911.07013 (2019) - [i3]Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo:
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. CoRR abs/1911.09483 (2019) - [i2]Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun:
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. CoRR abs/1912.11637 (2019) - 2018
- [i1]Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren:
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. CoRR abs/1808.07604 (2018)
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