A simplified low rank and sparse graph for semi-supervised learning. - Miaoyun Zhao; Licheng Jiao; Jie Feng 003; Tianyu Liu (Neurocomputing, 2014)

Classification and saliency detection by semi-supervised low-rank representation. - Miaoyun Zhao; Licheng Jiao; Wenping Ma 001; Hongying Liu 001; Shuyuan Yang 001 (Pattern Recognit., 2016)

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. - Miaoyun Zhao; Li Wang 026; Jiawei Chen 001; Dong Nie; Yulai Cong; Sahar Ahmad; Angela Ho; Peng Yuan 001; Steve H. Fung; Hannah H. Deng; James J. Xia; Dinggang Shen (MICCAI (4), 2018)

GO Gradient for Expectation-Based Objectives. - Yulai Cong; Miaoyun Zhao; Ke Bai 001; Lawrence Carin (ICLR (Poster), 2019)

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. - Miaoyun Zhao; Yulai Cong; Shuyang Dai; Lawrence Carin (AAAI, 2020)

On Leveraging Pretrained GANs for Generation with Limited Data. - Miaoyun Zhao; Yulai Cong; Lawrence Carin (ICML, 2020)

GAN Memory with No Forgetting. - Yulai Cong; Miaoyun Zhao; Jianqiao Li; Sijia Wang; Lawrence Carin (NeurIPS, 2020)

On Leveraging Pretrained GANs for Limited-Data Generation. - Miaoyun Zhao; Yulai Cong; Lawrence Carin (CoRR, 2020)

GO Hessian for Expectation-Based Objectives. - Yulai Cong; Miaoyun Zhao; Jianqiao Li; Junya Chen; Lawrence Carin (AAAI, 2021)

Big Learning: A Universal Machine Learning Paradigm? - Yulai Cong; Miaoyun Zhao (CoRR, 2022)

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. - Hao Zhang 050; Yulai Cong; Zhengjue Wang; Lei Zhang; Miaoyun Zhao; Liqun Chen 001; Shijing Si; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Class-Conditional Distribution Balancing for Group Robust Classification. - Miaoyun Zhao; Qiang Zhang; Chenrong Li (CoRR, 2025)

Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification. - Miaoyun Zhao; Qiang Zhang; Chenrong Li (CoRR, 2025)