@article{peng2022out,
 title={Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach},
 author={Peng, Xi and Qiao, Fengchun and Zhao, Long},
 journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
 year={2022},
 publisher={IEEE}
}

@inproceedings{qiao2022graph,
 title={Graph-Relational Distributionally Robust Optimization},
 author={Qiao, Fengchun and Peng, Xi},
 booktitle={NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications}
}

@article{wang2022region,
 title={Region-aware Arbitrary-shaped Text Detection with Progressive Fusion},
 author={Wang, Qitong and Fu, Bin and Li, Ming and He, Junjun and Peng, Xi and Qiao, Yu},
 journal={IEEE Transactions on Multimedia},
 year={2022},
 publisher={IEEE}
}

@inproceedings{ma2022multimodal,
 title={Are Multimodal Transformers Robust to Missing Modality?},
 author={Ma, Mengmeng and Ren, Jian and Zhao, Long and Testuggine, Davide and Peng, Xi},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={18177--18186},
 year={2022}
}

@inproceedings{merrill2022symmetry,
 title={Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation},
 author={Merrill, Nathaniel and Guo, Yuliang and Zuo, Xingxing and Huang, Xinyu and Leutenegger, Stefan and Peng, Xi and Ren, Liu and Huang, Guoquan},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={14901--14910},
 year={2022}
}

@article{li2021deep,
title={Deep Learning for Spatiotemporal Modeling of Urbanization},
author={Tang Li and Gao, Jing and Xi Peng},
journal={Advances in Neural Information Processing Systems Workshops (Best Paper Award)},
year={2021}
}

@inproceedings{qiao2021uncertainty,
 title={Uncertainty-guided model generalization to unseen domains},
 author={Qiao, Fengchun and Peng, Xi},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={6790--6800},
 year={2021}
}

@inproceedings{zhao2021learning,
 title={Learning view-disentangled human pose representation by contrastive cross-view mutual information maximization},
 author={Zhao, Long and Wang, Yuxiao and Zhao, Jiaping and Yuan, Liangzhe and Sun, Jennifer J and Schroff, Florian and Adam, Hartwig and Peng, Xi and Metaxas, Dimitris and Liu, Ting},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={12793--12802},
 year={2021}
}

@inproceedings{ma2021smil,
 title={SMIL: Multimodal learning with severely missing modality},
 author={Ma, Mengmeng and Ren, Jian and Zhao, Long and Tulyakov, Sergey and Wu, Cathy and Peng, Xi},
 booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
 volume={35},
 number={3},
 pages={2302--2310},
 year={2021}
}

@inproceedings{tian2020good,
 title={A Good Image Generator Is What You Need for High-Resolution Video Synthesis},
 author={Tian, Yu and Ren, Jian and Chai, Menglei and Olszewski, Kyle and Peng, Xi and Metaxas, Dimitris N and Tulyakov, Sergey},
 booktitle={International Conference on Learning Representations},
 year={2020}
}

@inproceedings{shi2021adapting,
 title={Adapting wireless mesh network configuration from simulation to reality via deep learning based domain adaptation},
 author={Shi, Junyang and Sha, Mo and Peng, Xi},
 booktitle={18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21)},
 pages={887--901},
 year={2021}
}

@inproceedings{qiao2020learning,
 title={Learning to learn single domain generalization},
 author={Qiao, Fengchun and Zhao, Long and Peng, Xi},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={12556--12565},
 year={2020}
}

@article{zhao2020maximum,
 title={Maximum-entropy adversarial data augmentation for improved generalization and robustness},
 author={Zhao, Long and Liu, Ting and Peng, Xi and Metaxas, Dimitris},
 journal={Advances in Neural Information Processing Systems},
 volume={33},
 pages={14435--14447},
 year={2020}
}

@inproceedings{zhao2020knowledge,
 title={Knowledge as priors: Cross-modal knowledge generalization for datasets without superior knowledge},
 author={Zhao, Long and Peng, Xi and Chen, Yuxiao and Kapadia, Mubbasir and Metaxas, Dimitris N},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={6528--6537},
 year={2020}
}

@article{zhao2020towards,
 title={Towards image-to-video translation: A structure-aware approach via multi-stage generative adversarial networks},
 author={Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris N},
 journal={International Journal of Computer Vision},
 volume={128},
 number={10},
 pages={2514--2533},
 year={2020},
 publisher={Springer}
}

@inproceedings{tian2018cr,
 title={CR-GAN: learning complete representations for multi-view generation},
 author={Tian, Yu and Peng, Xi and Zhao, Long and Zhang, Shaoting and Metaxas, Dimitris N},
 booktitle={Proceedings of the 27th International Joint Conference on Artificial Intelligence},
 pages={942--948},
 year={2018}
}

@article{mehrizi2019automatic,
 title={Automatic health problem detection from gait videos using deep neural networks},
 author={Mehrizi, Rahil and Peng, Xi and Zhang, Shaoting and Liao, Ruisong and Li, Kang},
 journal={arXiv preprint arXiv:1906.01480},
 year={2019}
}

@article{tian2019rethinking,
 title={Rethinking kernel methods for node representation learning on graphs},
 author={Tian, Yu and Zhao, Long and Peng, Xi and Metaxas, Dimitris},
 journal={Advances in neural information processing systems},
 volume={32},
 year={2019}
}

@article{zhu2019semantic,
 title={Semantic-guided multi-attention localization for zero-shot learning},
 author={Zhu, Yizhe and Xie, Jianwen and Tang, Zhiqiang and Peng, Xi and Elgammal, Ahmed},
 journal={Advances in Neural Information Processing Systems},
 volume={32},
 year={2019}
}

@inproceedings{zhao2019semantic,
 title={Semantic graph convolutional networks for 3d human pose regression},
 author={Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris N},
 booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
 pages={3425--3435},
 year={2019}
}

@inproceedings{wu2019scalable,
 title={Scalable global alignment graph kernel using random features: From node embedding to graph embedding},
 author={Wu, Lingfei and Yen, Ian En-Hsu and Zhang, Zhen and Xu, Kun and Zhao, Liang and Peng, Xi and Xia, Yinglong and Aggarwal, Charu},
 booktitle={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
 pages={1418--1428},
 year={2019}
}

@inproceedings{tang2019adatransform,
 title={Adatransform: Adaptive data transformation},
 author={Tang, Zhiqiang and Peng, Xi and Li, Tingfeng and Zhu, Yizhe and Metaxas, Dimitris N},
 booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
 pages={2998--3006},
 year={2019}
}

@inproceedings{chen2019construct,
 title={Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention},
 author={Chen, Yuxiao and Zhao, Long and Peng, Xi and Yuan, Jianbo and Metaxas, Dimitris N},
 booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
 year={2019}
}

@article{tang2019towards,
 title={Towards efficient u-nets: A coupled and quantized approach},
 author={Tang, Zhiqiang and Peng, Xi and Li, Kang and Metaxas, Dimitris N},
 journal={IEEE transactions on pattern analysis and machine intelligence},
 volume={42},
 number={8},
 pages={2038--2050},
 year={2019},
 publisher={IEEE}
}

@article{zhao2019cartoonish,
 title={Cartoonish sketch-based face editing in videos using identity deformation transfer},
 author={Zhao, Long and Han, Fangda and Peng, Xi and Zhang, Xun and Kapadia, Mubbasir and Pavlovic, Vladimir and Metaxas, Dimitris N},
 journal={Computers \& Graphics},
 volume={79},
 pages={58--68},
 year={2019},
 publisher={Elsevier}
}

@article{mehrizi2019predicting,
 title={Predicting 3-D lower back joint load in lifting: A deep pose estimation approach},
 author={Mehrizi, Rahil and Peng, Xi and Metaxas, Dimitris N and Xu, Xu and Zhang, Shaoting and Li, Kang},
 journal={IEEE Transactions on Human-Machine Systems},
 volume={49},
 number={1},
 pages={85--94},
 year={2019},
 publisher={IEEE}
}

@article{mehrizi2019deep,
 title={A Deep Neural Network-based method for estimation of 3D lifting motions},
 author={Mehrizi, Rahil and Peng, Xi and Xu, Xu and Zhang, Shaoting and Li, Kang},
 journal={Journal of biomechanics},
 volume={84},
 pages={87--93},
 year={2019},
 publisher={Elsevier}
}