Dr. Xi Peng

Assistant Professor

Computer & Information Sciences

University of Delaware

SHORT BIO

I am a tenure-track faculty at University of Delaware and holding following positions:

I am leading D-REAL research lab: Deep Robust and Explainable AI Lab.

My research focuses on Structural and Model-Oriented Deep Learning. The goal is to achieve Robust & Explainable & Efficient AI systems for intelligent data analytics. [Google Scholar] [GitHub]

I was awarded the Ph.D. degree of Computer Science from Rutgers University (2012-2018) with Prof. Dimitris N. Metaxas.

Contact

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

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

**Research Positions**

2020Fall PhD positions are available! Please feel free to contact me with your CV, Transcripts, and Publications (if applicable).

Visiting Student/Scholar/Post-doc are highly welcome. Please feel free to contact me with your CV, Research Plan, and Publications (if applicable).

[Google Scholar] [Publications]

LATEST NEWS

  • Dec 2019, we present two papers on NeurIPS'19, Vancouver, Canada.
  • Dec 2019, I am awarded "Gift Grant" ($10,000) from Snap Inc Research. Thanks to Snap Research!
  • Oct 2019, we present our work as an Oral paper on ICCV'19, Seoul, Korea.
  • Sep 2019, I am awarded "Seed Funding Mini Grant" ($10,000) for data science research. Thanks to Data Science Institute and Prof. Cathy Wu!!
  • Sep 2019, our paper on "Kernel Methods for Node Representation Learning on Graphs" (Explainable AI) is accepted by NeurIPS'19. [Paper/Code]
  • Sep 2019, our paper on "Semantic-Guided Multi-Attention Localization for Zero-shot Learning" (Efficient AI) is accepted by NeurIPS'19. [Paper/Code]
  • Aug 2019, invited as Senior Program Committee of AAAI '20, ICLR'20, CVPR'20.
  • Aug 2019, attend KDD'19, Anchorage, Alaska.
  • July 2019, our paper on "Adaptive Data Augmentation" (Robust AI) is accepted by ICCV'19 (Oral paper, acceptance rate 4.7%). [Paper/Code]
  • July 2019, our paper on "Construct Dynamic Graphs (GCN) for Hand Gesture Recognition" (Robust AI) is accepted by BMVC'19. [Paper/Code]
  • Jun 2019, attend CVPR'19, Los Angeles, California.
  • May 2019, our paper on "Scalable Global Alignment Graph Kernel" is accepted by KDD'19 (Oral paper, acceptance rate 9.2%). [Paper]
  • Apr 2019, I am a Session Chair of ICIG'19 special session on "Learning toward Visual Recognition in the Wild". [Call for Papers]
  • Mar 2019, our paper on "Quantized U-Net" (Efficient AI) is published in TPAMI (Impact factor: 17.73). [Paper/Code]
  • Mar 2019, visit Orthopedics Department at New Jersey Medical School, Newark, New Jersey.
  • Feb 2019, our paper on "Semantic Graph Convolutional Network (GCN) for 3D Human Pose Estimation" (Robust AI) is accepted by CVPR'19. [Paper/Code]
  • Feb 2019, our paper on "Sketch-based Facial Video Editing" is published in Computer & Graphics. [Paper]
  • Jan 2019, our paper on "Deep Learning based Biomechanics Analysis" is published in Journal of Biomechanics. [Paper]
  • Jan 2019, our paper on "Predicting Back Joint Load in Lifting" is published in IEEE Transaction on Human Machine Systems. [Paper]
  • Jan - Dec 2018, invited as (Senior) Program Committee of NIPS'19 & ICLR'19 & CVPR'19 & ICCV'19 & AAAI '19 & IJCAI'19 & ACMMM'19.
  • Jul 2018, our paper on "Quantized Densely Connected U-Net for Landmark Localization" (Efficient AI) is accepted by ECCV'18. [Paper/Code]
  • Jul 2018, our paper on "Human Motion Forecasting and Video Generation" (Explainable AI) is accepted by ECCV'18. [Paper/Code]
  • Jul 2018, our paper on "CU-Net Detection" (Efficient AI) is accepted by BMVC '18 (oral presentation). [Paper/Code]
  • Jun 2018, attend CVPR'18, Salt Lake City, Utah.
  • May 2018, our work on "RNN Disentanglement Learning" (Robust AI) is published in IJCV (Impact factor: 11.54). [Paper/Code]
  • May 2018, our paper on "CR-GAN for Disentangled Multi-view Image Generation" (Explainable AI) is accepted by IJCAI'18. [Paper/Code]
  • Mar 2018, our paper on "Group Sparse based Personalized Modeling" is published in IJCV (Impact factor: 11.54). [Paper/Code]
  • Feb 2018, our paper on "Adversarial Data Augmentation" (Robust AI) is accepted by CVPR'18. [Paper/Code]
  • Feb 2018, our paper on "Adversarial Zero-Shot Learning" (Efficient AI) is accepted by CVPR'18. [Paper/Code]
  • Jan 2018, our paper on "3D Posture Estimation of Symmetrical Lifting" is published in Journal of Biomechanics. [Project]
  • Oct 2017, I defense my PhD thesis on "Learning Disentangled Representations in Deep Visual Analysis".