Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images. - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (CoRR, 2014)

Learning Deep Object Detectors from 3D Models. - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (ICCV, 2015)

What Do Deep CNNs Learn About Objects? - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (ICLR (Workshop), 2015)

Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. - Eric Tzeng; Coline Devin; Judy Hoffman; Chelsea Finn; Xingchao Peng; Sergey Levine; Kate Saenko; Trevor Darrell (CoRR, 2015)

Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. - Xingchao Peng; Kate Saenko (ACCV (4), 2016)

Fine-to-coarse knowledge transfer for low-res image classification. - Xingchao Peng; Judy Hoffman; Stella X. Yu; Kate Saenko (ICIP, 2016)

Ground2sky label transfer for fine-grained aerial car recognition. - Baochen Sun; Xingchao Peng; Stella X. Yu; Kate Saenko (ICIP, 2017)

Synthetic to Real Adaptation with Deep Generative Correlation Alignment Networks. - Xingchao Peng; Kate Saenko (CoRR, 2017)

VisDA: The Visual Domain Adaptation Challenge. - Xingchao Peng; Ben Usman; Neela Kaushik; Judy Hoffman; Dequan Wang; Kate Saenko (CoRR, 2017)

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Neela Kaushik; Dequan Wang; Judy Hoffman; Kate Saenko (CVPR Workshops, 2018)

Adapting Control Policies from Simulation to Reality Using a Pairwise Loss. - Ulrich Viereck; Xingchao Peng; Kate Saenko; Robert Platt Jr. 001 (ISER, 2018)

Synthetic to Real Adaptation with Generative Correlation Alignment Networks. - Xingchao Peng; Kate Saenko (WACV, 2018)

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Kuniaki Saito; Neela Kaushik; Judy Hoffman; Kate Saenko (CoRR, 2018)

Moment Matching for Multi-Source Domain Adaptation. - Xingchao Peng; Qinxun Bai; Xide Xia; Zijun Huang; Kate Saenko; Bo Wang 044 (ICCV, 2019)

Domain Agnostic Learning with Disentangled Representations. - Xingchao Peng; Zijun Huang; Ximeng Sun; Kate Saenko (ICML, 2019)

Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. - Shuhan Tan; Xingchao Peng; Kate Saenko (CoRR, 2019)

Learning Domain Adaptive Features with Unlabeled Domain Bridges. - Yichen Li; Xingchao Peng (CoRR, 2019)

Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. - Xingchao Peng; Yichen Li; Kate Saenko (ECCV (6), 2020)

Class-Imbalanced Domain Adaptation: An Empirical Odyssey. - Shuhan Tan; Xingchao Peng; Kate Saenko (ECCV Workshops (1), 2020)

Federated Adversarial Domain Adaptation. - Xingchao Peng; Zijun Huang; Yizhe Zhu; Kate Saenko (ICLR, 2020)

Network Architecture Search for Domain Adaptation. - Yichen Li; Xingchao Peng (CoRR, 2020)

Domain adaptive learning with disentangled features - Xingchao Peng (2020)

Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. - Masaki Yamazaki; Xingchao Peng; Kuniaki Saito; Ping Hu 001; Kate Saenko; Yasuhiro Taniguchi (MVA, 2021)