| 2021 | MVA | Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. | Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi |
| 2020 | ECCV | Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. | Xingchao Peng, Yichen Li, Kate Saenko |
| 2020 | ECCV | Class-Imbalanced Domain Adaptation: An Empirical Odyssey. | Shuhan Tan, Xingchao Peng, Kate Saenko |
| 2020 | ICLR | Federated Adversarial Domain Adaptation. | Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko |
| 2019 | ICCV | Moment Matching for Multi-Source Domain Adaptation. | Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang |
| 2019 | ICML | Domain Agnostic Learning with Disentangled Representations. | Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko |
| 2018 | CVPR | VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. | Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko |
| 2018 | WACV | Synthetic to Real Adaptation with Generative Correlation Alignment Networks. | Xingchao Peng, Kate Saenko |
| 2017 | ICIP | Ground2sky label transfer for fine-grained aerial car recognition. | Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko |
| 2016 | ACCV | Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. | Xingchao Peng, Kate Saenko |
| 2016 | ICIP | Fine-to-coarse knowledge transfer for low-res image classification. | Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko |
| 2015 | ICCV | Learning Deep Object Detectors from 3D Models. | Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko |