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ORCIDXianghong Fang
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2020 – today
- 2024
[c4]Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang:
Rethinking the Uniformity Metric in Self-Supervised Learning. ICLR 2024- [i4]Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang:
Rethinking The Uniformity Metric in Self-Supervised Learning. CoRR abs/2403.00642 (2024) - 2022
- [c3]Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung:
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) 2022: 97-111 - 2021
- [c2]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8 - [i3]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021) - 2020
- [j1]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks 127: 182-192 (2020) - [i2]Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020)
2010 – 2019
- 2018
- [i1]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. CoRR abs/1812.11478 (2018) - 2017
- [c1]Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe:
Learning from semantically dependent multi-tasks. IJCNN 2017: 3498-3505
Coauthor Index
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