World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
13302
World Ranking
3635
National Ranking
482

Overview

Xi Peng is affiliated with Sichuan University in China and has contributed extensively to research in the field of Computer Science. Their work largely focuses on Artificial Intelligence and Computer Vision and Pattern Recognition, with additional involvement in Public Health, Environmental and Occupational Health, Epidemiology, and Control and Systems Engineering.

The primary subfields of study they engage in include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Public Health, Environmental and Occupational Health
  • Epidemiology
  • Control and Systems Engineering

Regarding research topics, Xi Peng's work covers a range of areas with particular attention to:

  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning in Healthcare

They have published several papers, including the following notable examples:

  • "SMIL: Multimodal Learning with Severely Missing Modality," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Are Multimodal Transformers Robust to Missing Modality?," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness," 2020, arXiv (Cornell University)
  • "Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Their frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Xi Peng collaborates regularly with several coauthors, among whom are:

  • L. Zhao
  • Dimitris Metaxas
  • Cathy Wu
  • Mengmeng Ma
  • Fengchun Qiao

Best Publications

  • Semantic Graph Convolutional Networks for 3D Human Pose Regression

    Long Zhao;Xi Peng;Yu Tian;Mubbasir Kapadia

  • Accelerating magnetic resonance imaging via deep learning

    Shanshan Wang;Zhenghang Su;Leslie Ying;Xi Peng

  • Contrastive Clustering

    Yunfan Li;Peng Hu;Zitao Liu;Dezhong Peng

  • Learning to Learn Single Domain Generalization

    Fengchun Qiao;Long Zhao;Xi Peng

  • A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts

    Yizhe Zhu;Mohamed Elhoseiny;Bingchen Liu;Xi Peng

  • COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction

    Yijie Lin;Yuanbiao Gou;Zitao Liu;Boyun Li

  • Structured AutoEncoders for Subspace Clustering.

    Xi Peng;Jiashi Feng;Shijie Xiao;Wei-Yun Yau

  • AnomalyNet: An Anomaly Detection Network for Video Surveillance

    Joey Tianyi Zhou;Jiawei Du;Hongyuan Zhu;Xi Peng

  • Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering

    Xi Peng;Zhiding Yu;Zhang Yi;Huajin Tang

  • Partition level multiview subspace clustering.

    Zhao Kang;Xinjia Zhao;Chong Peng;Hongyuan Zhu

  • Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

    Xi Peng;Zhiqiang Tang;Fei Yang;Rogerio S. Feris

  • You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

    Boyun Li;Yuanbiao Gou;Shuhang Gu;Jerry Zitao Liu

  • SMIL: Multimodal Learning with Severely Missing Modality

    Mengmeng Ma;Jian Ren;Long Zhao;Sergey Tulyakov

  • Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

    Weixin Luo;Wen Liu;Dongze Lian;Jinhui Tang

  • Deep subspace clustering with sparsity prior

    Xi Peng;Shijie Xiao;Jiashi Feng;Wei-Yun Yau

  • Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations

    H. M. Nguyen;Xi Peng;M. N. Do;Zhi-Pei Liang

  • Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations

    Xi Peng;Canyi Lu;Zhang Yi;Huajin Tang

  • Scalable Sparse Subspace Clustering

    Xi Peng;Lei Zhang;Zhang Yi

  • A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data

    Xi Peng;Huajin Tang;Lei Zhang;Zhang Yi

  • Zero-Shot Image Dehazing

    Boyun Li;Yuanbiao Gou;Jerry Zitao Liu;Hongyuan Zhu

  • Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition

    Xi Peng;Xiang Yu;Kihyuk Sohn;Dimitris N. Metaxas

  • A Recurrent Encoder-Decoder Network for Sequential Face Alignment

    Xi Peng;Rogério Schmidt Feris;Xiaoyu Wang;Dimitris N. Metaxas

  • COMIC: Multi-view Clustering Without Parameter Selection

    Xi Peng;Zhenyu Huang;Jiancheng Lv;Hongyuan Zhu

Frequent Co-Authors

Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Joey Tianyi Zhou
Joey Tianyi Zhou Agency for Science, Technology and Research
Dong Liang
Dong Liang Chinese Academy of Sciences
Zhang Yi
Zhang Yi Sichuan University
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Leslie Ying
Leslie Ying University at Buffalo, State University of New York
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Boris A. Malomed
Boris A. Malomed Tel Aviv University
Xin Liu
Xin Liu Chinese Academy of Sciences

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