Xi Peng, Ph.D., computer science
Welcome! I am a tenure-track faculty at the University of Delaware (Since 2019):
Assistant Professor, Department of Computer & Information Sciences.
Resident Faculty, Data Science Institute.
Research interest: Machine Learning, Deep Learning, and Computer Vision. [Google Scholar]
Email: xipeng at udel dot edu Tel: (302) 831-3185
Office: 440 Smith Hall, 18 Amstel Ave, Newark, DE 19716
MOST RECENT PUBLICATIONS
[NSDI'21] Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning-based Domain Adaptation. [PDF]
[CVPR'21] Uncertainty-guided Model Generalization to Unseen Domains. [PDF] [60s-Video] [Code]
[CVPR'21 Oral] Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. [PDF]
[ICLR'21 Spotlight] A good image generator is what you need for high-resolution video synthesis. [PDF]
[NeurIPS'20] Maximum-entropy adversarial data augmentation for improved generalization and robustness. [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]
Mar 2021, [Media] Check the UDaily story of our $1M interdisciplinary research supported by NSF!!
Mar 2021, [NSDI'21] AI + IoT "Adapting Wireless Mesh Network Configuration from Simulation to Reality". [PDF]
Mar 2021, [Service] Dr. Peng served on NSF Review Panel.
Mar 2021, [Grant] Dr. Peng (PI) was awarded a research grant for AI-based biomechanical analysis. Thanks to CDC/NIOSH!!
Mar 2021, [CVPR'21] "Uncertain Out-of-Domain Generalization" (Robust/Explainable AI). Congrats to Fengchun (2-year PhD)! [PDF]
Mar 2021, [CVPR'21 (Oral) rate 4.3%] "View-disentangled Human Pose Representation" (Human-centered Vision). Congrats to Long! [PDF]
Feb 2021, [ICLR'21] "High-resolution Video Synthesis" (Efficient AI). Congrats to Yu! [PDF]
Feb 2021, [Grant] Dr. Peng (PI) was awarded a search grant for self-supervised multimodal learning. Thanks to Snap Research!
Jan 2021, [Grant] our interdisciplinary team (PI Prof. Julie Klinger) secured a 5-year (2021-2026) research grant on AI/ML-based geoscience research. Thanks to NSF!!
Dec 2020, [AAAI'21] "Multimodal Learning with Severely Missing Modality" (Efficient/Explainable AI) is accepted by. Congrats to Mengmeng (1-year PhD)!! [PDF/Code]
Sep 2020, [NeurIPS'20] "Maximum-Entropy Adversarial Data Augmentation" (Robust AI) is accepted by. Congrats to Long!
Sep 2020, [Service] Dr. Peng served on NSF Review Panel.
May 2020, [Service] Dr. Peng served as the Guest Editor of the CVIU special issue on "Action Recognition and Detection". [Call for submissions]
Mar 2020, [IJCV'20] "Semantic Guided Motion Forecasting and Video Generation" (Human-centered Vision).
Feb 2020, [Travel] Dr. Peng attended CRA Career Workshop, Washington, D.C.
Feb 2020, [CVPR'20] "Single Domain Generalization" (Robust/Explainable AI). Congrats to Fengchun (1-year PhD)!! [PDF/Code]
Feb 2020, [CVPR'20] "Cross-Modal Knowledge Generalization" (Robust AI). Congrats to Long! [PDF]
Dec 2019, [Travel] we present two papers on NeurIPS'19, Vancouver, Canada.
Dec 2019, [Grant] Dr. Peng (PI) received a research grant for multimodal learning. Thanks to Snap Research!
Oct 2019, [Travel] present our work as an Oral paper on ICCV'19, Seoul, Korea.
Sep 2019, [Grant] Dr. Peng (PI) was awarded a seed grant for transfer learning. Thanks to Data Science Institute!
Sep 2019, [NeurIPS'19] "Kernel Methods for Node Representation Learning on Graphs" (Explainable AI) is accepted by. [PDF/Code]
Sep 2019, [NeurIPS'19] "Semantic-Guided Multi-Attention Localization for Zero-shot Learning" (Efficient AI) is accepted by. [PDF/Code]
Aug 2019, [Service] Dr. Peng will serve as invited as (Senior) Program Committee of AAAI '20, NeurIPS'20, ICLR'20, CVPR'20.
Aug 2019, [Travel] attend KDD'19, Anchorage, Alaska.
July 2019, [ICCV'19 (Oral) rate 4.7%) "Adaptive Data Augmentation" (Robust AI). [PDF/Code]
July 2019, [BMVC'19] "Construct Dynamic Graphs (GCN) for Hand Gesture Recognition" (Human-centered Vision). [PDF/Code]
Jun 2019, [Travel] Dr. Peng attend CVPR'19, Los Angeles, California.
May 2019, [KDD'19 (Oral) rate 9.2%)] "Scalable Global Alignment Graph Kernel". [PDF]
Apr 2019, [Service] Dr. Peng served as Session Chair of ICIG'19 special session on "Learning toward Visual Recognition in the Wild". [Call for Papers]
Mar 2019, [TPAMI (Impact factor: 17.73)] "Quantized U-Net" (Efficient AI). [PDF/Code]
Mar 2019, [Travel] Dr. Peng visited Orthopedics Department at New Jersey Medical School, Newark, New Jersey.
Feb 2019, [CVPR'19] "Semantic Graph Convolutional Network (GCN) for 3D Human Pose Estimation" (Human-centered Vision). [PDF/Code]
Jan 2019, [Journal of Biomechanics] "Deep Learning-based Biomechanics Analysis" (Human-centered Vision). [PDF]
Jan 2019, [IEEE THMS] "Predicting Back Joint Load in Lifting" (Human-centered Vision). [PDF]
Jan 2019, [Service] Dr. Peng served as (Senior) Program Committee of NIPS'19 & ICLR'19 & CVPR'19 & ICCV'19 & AAAI '19 & IJCAI'19 & ACMMM'19.