Miaoyun Zhao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Iterative Methods

Low Rank And Sparse

Text Generation

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
Yulai Cong, Miaoyun Zhao
Big Learning: A Universal Machine Learning Paradigm? CoRR (2022)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. AAAI (2021)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. CoRR (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
GAN Memory with No Forgetting. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Lawrence Carin
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Lawrence Carin
On Leveraging Pretrained GANs for Generation with Limited Data. ICML (2020)
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI (2020)
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
GAN Memory with No Forgetting. NeurIPS (2020)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. ICLR (Poster) (2019)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. CoRR (2019)
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)
Miaoyun Zhao, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang
Classification and saliency detection by semi-supervised low-rank representation. Pattern Recognit. 51 (2016)
Miaoyun Zhao, Licheng Jiao, Jie Feng, Tianyu Liu
A simplified low rank and sparse graph for semi-supervised learning. Neurocomputing 140 (2014)