World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9586
World Ranking
7136
National Ranking
946

Overview

Xin Geng is affiliated with Southeast University in China and has made significant contributions to the field of Computer Science, with a focus on Artificial Intelligence and related subfields.

Their research encompasses a range of topics within machine learning and data classification, including text and document classification technologies, domain adaptation and few-shot learning, video surveillance and tracking methods, image retrieval and classification techniques, as well as face recognition and analysis.

Xin Geng's recent papers demonstrate the scientist's engagement with label distribution learning and partial-label learning, evidenced by publications such as:

  • Partial Multi-Label Learning with Label Distribution, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Label Distribution Learning by Partitioning Label Distribution Manifold, 2023, IEEE Transactions on Neural Networks and Learning Systems
  • Label Distribution Learning by Exploiting Label Distribution Manifold, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Provably Consistent Partial-Label Learning, 2020, arXiv (Cornell University)
  • Variational Label Enhancement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology

Xin Geng collaborates with a network of co-authors, including Lei Qi, Ning Xu, Jing Wang, Zhiqiang Kou, and Yinghuan Shi, highlighting consistent cooperative research efforts.

The main fields of study and subfields contributing to their work include:

  • Computer Science
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering
  • Information Systems

The breadth of Xin Geng's research interests and publication record contributes to an ongoing exploration of machine learning methodologies and their applications across diverse domains.

Best Publications

  • Automatic Age Estimation Based on Facial Aging Patterns

    Xin Geng;Zhi-Hua Zhou;K. Smith-Miles

  • Label Distribution Learning

    Xin Geng

  • Facial Age Estimation by Learning from Label Distributions

    Xin Geng;Chao Yin;Zhi-Hua Zhou

  • Supervised nonlinear dimensionality reduction for visualization and classification

    Xin Geng;De-Chuan Zhan;Zhi-Hua Zhou

  • Projection functions for eye detection

    Zhi-Hua Zhou;Xin Geng

  • Deep Label Distribution Learning With Label Ambiguity

    Bin-Bin Gao;Chao Xing;Chen-Wei Xie;Jianxin Wu

  • Binary relevance for multi-label learning: an overview

    Min-Ling Zhang;Yu-Kun Li;Xu-Ying Liu;Xin Geng

  • Learning from facial aging patterns for automatic age estimation

    Xin Geng;Zhi-Hua Zhou;Yu Zhang;Gang Li

  • Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

    Shikai Chen;Jianfeng Wang;Yuedong Chen;Zhongchao Shi

  • Head Pose Estimation Based on Multivariate Label Distribution

    Xin Geng;Yu Xia

  • Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information

    Kai Su;Dongdong Yu;Zhenqi Xu;Xin Geng

  • Label Enhancement for Label Distribution Learning

    Ning Xu;Yun-Peng Liu;Xin Geng

  • Age Estimation Using Expectation of Label Distribution Learning

    Bin-Bin Gao;Hong-Yu Zhou;Jianxin Wu;Xin Geng

  • Emotion Distribution Recognition from Facial Expressions

    Ying Zhou;Hui Xue;Xin Geng

  • Multi-Label Manifold Learning

    Peng Hou;Xin Geng;Min-Ling Zhang

  • Emotion Distribution Learning from Texts

    Deyu Zhou;Xuan Zhang;Yin Zhou;Quan Zhao

  • Crowd counting in public video surveillance by label distribution learning

    Zhaoxiang Zhang;Mo Wang;Xin Geng

  • Facial Age Estimation by Adaptive Label Distribution Learning

    Xin Geng;Qin Wang;Yu Xia

  • Deep Label Distribution Learning for Apparent Age Estimation

    Xu Yang;Bin-Bin Gao;Chao Xing;Zeng-Wei Huo

  • Facial age estimation by learning from label distributions

    Xin Geng;Kate Smith-Miles;Zhi-Hua Zhou

  • Label Distribution Learning

    Xin Geng;Rongzi Ji

  • Provably Consistent Partial-Label Learning

    Lei Feng;Jiaqi Lv;Bo Han;Miao Xu

  • Label Enhancement for Label Distribution Learning.

    Ning Xu;An Tao;Xin Geng

Frequent Co-Authors

Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Kate Smith-Miles
Kate Smith-Miles University of Melbourne
Liang Wang
Liang Wang Chinese Academy of Sciences
Min-Ling Zhang
Min-Ling Zhang Southeast University
Jianxin Wu
Jianxin Wu Nanjing University
Bo An
Bo An Nanyang Technological University
Changhu Wang
Changhu Wang ByteDance
Christopher Leckie
Christopher Leckie University of Melbourne
Sheng Chen
Sheng Chen University of Southampton

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