CU-Net: Coupled U-Nets. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Yizhe Zhu; Dimitris N. Metaxas (BMVC, 2018)

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. - Xi Peng 005; Zhiqiang Tang 001; Fei Yang 001; Rogério Schmidt Feris; Dimitris N. Metaxas (CVPR, 2018)

Quantized Densely Connected U-Nets for Efficient Landmark Localization. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Lingfei Wu 001; Shaoting Zhang 001; Dimitris N. Metaxas (ECCV (3), 2018)

Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution. - Rahil Mehrizi; Xi Peng 005; Zhiqiang Tang 001; Xu Xu; Dimitris N. Metaxas; Kang Li 004 (FG, 2018)

AdaTransform: Adaptive Data Transformation. - Zhiqiang Tang 001; Xi Peng 005; Tingfeng Li; Yizhe Zhu; Dimitris N. Metaxas (ICCV, 2019)

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (NeurIPS, 2019)

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (CoRR, 2019)

OnlineAugment: Online Data Augmentation with Less Domain Knowledge. - Zhiqiang Tang 001; Yunhe Gao; Leonid Karlinsky; Prasanna Sattigeri; Rogério Feris; Dimitris N. Metaxas (ECCV (7), 2020)

Towards Efficient U-Nets: A Coupled and Quantized Approach. - Zhiqiang Tang 001; Xi Peng 005; Kang Li 004; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

CrossNorm and SelfNorm for Generalization under Distribution Shifts. - Zhiqiang Tang 001; Yunhe Gao; Yi Zhu 001; Zhi Zhang 005; Mu Li 003; Dimitris N. Metaxas (ICCV, 2021)

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. - Yunhe Gao; Zhiqiang Tang 001; Mu Zhou; Dimitris N. Metaxas (IPMI, 2021)

SelfNorm and CrossNorm for Out-of-Distribution Robustness. - Zhiqiang Tang 001; Yunhe Gao; Yi Zhu 001; Zhi Zhang 005; Mu Li 003; Dimitris N. Metaxas (CoRR, 2021)

Visual Prompt Tuning for Test-time Domain Adaptation. - Yunhe Gao; Xingjian Shi; Yi Zhu 001; Hao Wang 014; Zhiqiang Tang 001; Xiong Zhou; Mu Li 003; Dimitris N. Metaxas (CoRR, 2022)

Are Multimodal Models Robust to Image and Text Perturbations? - Jielin Qiu; Yi Zhu 001; Xingjian Shi; Florian Wenzel; Zhiqiang Tang 001; Ding Zhao; Bo Li 026; Mu Li 003 (CoRR, 2022)

Learning Multimodal Data Augmentation in Feature Space. - Zichang Liu; Zhiqiang Tang 001; Xingjian Shi; Aston Zhang; Mu Li 003; Anshumali Shrivastava; Andrew Gordon Wilson (ICLR, 2023)