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Miaoyun Zhao
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2020 – today
- 2024
- [j3]Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin:
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6558-6569 (2024) - 2022
- [i6]Yulai Cong, Miaoyun Zhao:
Big Learning: A Universal Machine Learning Paradigm? CoRR abs/2207.03899 (2022) - 2021
- [c6]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. AAAI 2021: 12060-12068 - 2020
- [c5]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI 2020: 6901-6908 - [c4]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Generation with Limited Data. ICML 2020: 11340-11351 - [c3]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. NeurIPS 2020 - [i5]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR abs/2002.11810 (2020) - [i4]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. CoRR abs/2006.07543 (2020) - [i3]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. CoRR abs/2006.08873 (2020) - [i2]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR abs/2007.06178 (2020)
2010 – 2019
- 2019
- [c2]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. ICLR (Poster) 2019 - [i1]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. CoRR abs/1901.06020 (2019) - 2018
- [c1]Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen:
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) 2018: 720-727 - 2016
- [j2]Miaoyun Zhao, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang:
Classification and saliency detection by semi-supervised low-rank representation. Pattern Recognit. 51: 281-294 (2016) - 2014
- [j1]Miaoyun Zhao, Licheng Jiao, Jie Feng, Tianyu Liu:
A simplified low rank and sparse graph for semi-supervised learning. Neurocomputing 140: 84-96 (2014)
Coauthor Index
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