Tang, Zhiqiang

10 publications

AutoML 2024 AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis

DMLR 2024 Benchmarking Robustness of Multimodal Image-Text Models Under Distribution Shift Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

ICLR 2024 Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan

ICLR 2023 Learning Multimodal Data Augmentation in Feature Space Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

NeurIPSW 2022 Benchmarking Robustness Under Distribution Shift of Multimodal Image-Text Models Jielin Qiu, Yi Zhu, Xingjian Shi, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

ICCV 2021 CrossNorm and SelfNorm for Generalization Under Distribution Shifts Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

ECCV 2020 OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

NeurIPS 2019 Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

ECCV 2018 Quantized Densely Connected U-Nets for Efficient Landmark Localization Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris Metaxas

IJCAI 2015 Face Clustering in Videos with Proportion Prior Zhiqiang Tang, Yifan Zhang, Zechao Li, Hanqing Lu