Xi Peng, Ph.D., computer science

Welcome! I am a tenure-track faculty at the University of Delaware (Since 2019):

I am leading Deep-REAL (Deep Robust and Explainable AI Lab).

Research interest: Machine Learning, Deep Learning, and Computer Vision. [Google Scholar]

Degree: Ph.D. in CS, Rutgers University, 2018.

Email: xipeng at udel dot edu Tel: (302) 831-3185

Office: 440 Smith Hall, 18 Amstel Ave, Newark, DE 19716

MOST RECENT PUBLICATIONS

[TPAMI'22, IF=24.3] Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach. [PDF]

[TMM'22, IF=8.18] Region-aware Arbitrary-shaped Text Detection with Progressive Fusion. [PDF]

[CVPR'22] Are multimodal transformers robust to missing modality? [PDF]

[CVPR'22] Symmetry and uncertainty-aware object slam for 6dof object pose estimation. [PDF]

[NeurIPS'21W Best Paper Award] Deep learning for spatiotemporal modeling of Urbanization. [PDF] [Video-10m]

[ICLR'21 Spotlight] A good image generator is what you need for high-resolution video synthesis. [PDF] [Video-10m]

[CVPR'21] Uncertainty-guided Model Generalization to Unseen Domains. [PDF] [Video-5m] [Code]

[CVPR'21 Oral] Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. [PDF] [Video-5m]

[AAAI'21] Multimodal learning with severely missing modality. [PDF] [Video-60s] [15m-Video] [Code]

[NSDI'21] Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning-based Domain Adaptation. [PDF]

[IJCV'20, IF=11.5] Towards image-to-video translation: A structure-aware approach via multi-stage generative adversarial networks. [PDF]

[NeurIPS'20] Maximum-entropy adversarial data augmentation for improved generalization and robustness. [PDF]

[CVPR'20] Learning to learn single domain generalization. [PDF] [Video-60s] [Code]

[CVPR'20] Knowledge as priors: Cross-modal knowledge generalization for datasets without superior knowledge. [PDF] [Video-60s]

[TPAMI'19, IF=24.3] Towards Efficient U-Nets: A Coupled and Quantized Approach. [PDF]

[NeurIPS'19] Semantic-guided multi-attention localization for zero-shot learning. [PDF]

[NeurIPS'19] Rethinking kernel methods for node representation learning on graphs. [PDF]

[ICCV'19 Oral] AdaTransform: Adaptive Data Transformation. [PDF]

[CVPR'19] Semantic graph convolutional networks for 3d human pose regression. [PDF]

[KDD'19] Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. [PDF]

AWARD & GRANT SPONSOR

  • National Science Foundation (NSF), 2021 - 2026.

  • Centers for Disease Control and Prevention (CDC), 2020 - 2022.

  • Google Faculty Research Award, 2021 - 2023.

  • Snap Research Gift Award, 2020, 2021, 2022.

  • General University Research (GUR) Award, 2022-2024.

  • University of Delaware Research Foundation (UDRF) Award, 2022-2024.

  • Intellectual Neighborhood Accelerator Program (InAccelerator) Grant, 2021-2022.

  • Data Science Institute (DSI) Seed Grant, 2019-2020.