World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8010
World Ranking
10080
National Ranking
1257

Overview

Wenbing Huang is affiliated with Renmin University of China and specializes in the field of Computer Science. Their work encompasses various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Materials Chemistry, and Computational Theory and Mathematics.

The research topics prominently addressed by Wenbing Huang include:

  • Advanced Graph Neural Networks
  • Machine Learning in Materials Science
  • Advanced Neural Network Applications
  • Computational Drug Discovery Methods
  • Topic Modeling
  • Protein Structure and Dynamics
  • Reinforcement Learning in Robotics

Wenbing Huang has contributed to multiple recent publications across prestigious venues. Selected papers highlight the scope of their research:

  • "Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Self-Supervised Graph Transformer on Large-Scale Molecular Data", 2020, arXiv (Cornell University)
  • "Multimodal Token Fusion for Vision Transformers", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Multimodal Fusion by Channel Exchanging", 2020, arXiv (Cornell University)

The frequent publication venues for Wenbing Huang's work include:

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

Collaboration is an important aspect of Wenbing Huang's research activity. Frequent co-authors are:

  • Fuchun Sun
  • Yu Rong
  • Tingyang Xu
  • Junzhou Huang
  • Jiaqi Han

This profile covers Wenbing Huang's research interests, key publications, principal collaborators, and predominant venues of publication. The data reflects a concentration on graph neural networks, machine learning applications in diverse scientific domains, and advances in neural network methodologies.

Best Publications

  • DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

    Yu Rong;Wenbing Huang;Tingyang Xu;Junzhou Huang

  • Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

    Tian Bian;Xi Xiao;Tingyang Xu;Peilin Zhao

  • Graph Representation Learning via Graphical Mutual Information Maximization

    Zhen Peng;Wenbing Huang;Minnan Luo;Qinghua Zheng

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Chuang Gan;Mingkui Tan

  • Progressive Feature Alignment for Unsupervised Domain Adaptation

    Chaoqi Chen;Weiping Xie;Wenbing Huang;Yu Rong

  • Self-Supervised Graph Transformer on Large-Scale Molecular Data

    Yu Rong;Yatao Bian;Tingyang Xu;Weiyang Xie

  • A Fast and Accurate One-Stage Approach to Visual Grounding

    Zhengyuan Yang;Boqing Gong;Liwei Wang;Wenbing Huang

  • Adaptive Sampling Towards Fast Graph Representation Learning

    Wenbing Huang;Tong Zhang;Yu Rong;Junzhou Huang

  • Dense Regression Network for Video Grounding

    Runhao Zeng;Haoming Xu;Wenbing Huang;Peihao Chen

  • Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

    Xiangpeng Li;Jingkuan Song;Lianli Gao;Xianglong Liu

  • End-to-End Learning of Motion Representation for Video Understanding

    Lijie Fan;Wenbing Huang;Chuang Gan;Stefano Ermon

  • Deep Feature Pyramid Reconfiguration for Object Detection

    Tao Kong;Fuchun Sun;Wenbing Huang;Huaping Liu

  • Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

    Runfa Chen;Wenbing Huang;Binghui Huang;Fuchun Sun

  • Multimodal Token Fusion for Vision Transformers

    Unknown

  • A simple, real-time range camera

    A. Pentland;T. Darrell;M. Turk;W. Huang

  • A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models

    Heng Chang;Yu Rong;Tingyang Xu;Wenbing Huang

  • Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

    Jia Li;Yu Rong;Hong Cheng;Helen Meng

  • Deep Multimodal Fusion by Channel Exchanging

    Yikai Wang;Wenbing Huang;Fuchun Sun;Tingyang Xu

  • Weakly Supervised Dense Event Captioning in Videos

    Xuguang Duan;Wenbing Huang;Chuang Gan;Jingdong Wang

  • Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization

    Runhao Zeng;Chuang Gan;Peihao Chen;Wenbing Huang

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Mingkui Tan;Yu Rong

Frequent Co-Authors

Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Fuchun Sun
Fuchun Sun Tsinghua University
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Huaping Liu
Huaping Liu Tsinghua University
Wenwu Zhu
Wenwu Zhu Tsinghua University
Mingkui Tan
Mingkui Tan South China University of Technology
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Peilin Zhao
Peilin Zhao Tencent (China)
Boqing Gong
Boqing Gong Google (United States)
Mehrtash Harandi
Mehrtash Harandi Monash University

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