World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
26361
World Ranking
2528
National Ranking
43

Overview

Hanwang Zhang is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on computer science, with a significant emphasis on areas such as artificial intelligence and computer vision and pattern recognition.

The scientist has contributed extensively to domain adaptation and few-shot learning, as well as multimodal machine learning applications. Other main topics covered in their work include topic modeling, advanced image and video retrieval techniques, advanced neural network applications, natural language processing techniques, and human pose and action recognition.

Frequent co-authors in their research include Qianru Sun, Xian-Sheng Hua, Beier Zhu, Xuanyu Yi, and Kaihua Tang.

Their publishing record shows a strong presence in several venues, notably:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Recent papers illustrating their research activities are:

  • Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect, 2020, arXiv (Cornell University)
  • Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deconfounded Image Captioning: A Causal Retrospect, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Therapeutic Role of Mesenchymal Stem Cell-Derived Extracellular Vesicles in Female Reproductive Diseases, 2021, Frontiers in Endocrinology
  • Interventional Few-Shot Learning, 2020, arXiv (Cornell University)

Best Publications

  • Neural Collaborative Filtering

    Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • Fast Matrix Factorization for Online Recommendation with Implicit Feedback

    Xiangnan He;Hanwang Zhang;Min-Yen Kan;Tat-Seng Chua

  • Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

    Jun Xiao;Hao Ye;Xiangnan He;Hanwang Zhang

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • Auto-Encoding Scene Graphs for Image Captioning

    Xu Yang;Kaihua Tang;Hanwang Zhang;Jianfei Cai

  • Unbiased Scene Graph Generation From Biased Training

    Kaihua Tang;Yulei Niu;Jianqiang Huang;Jiaxin Shi

  • Video Captioning With Attention-Based LSTM and Semantic Consistency

    Lianli Gao;Zhao Guo;Hanwang Zhang;Xing Xu

  • Visual Translation Embedding Network for Visual Relation Detection

    Hanwang Zhang;Zawlin Kyaw;Shih-Fu Chang;Tat-Seng Chua

  • Learning to Compose Dynamic Tree Structures for Visual Contexts

    Kaihua Tang;Hanwang Zhang;Baoyuan Wu;Wenhan Luo

  • Attributed Social Network Embedding

    Lizi Liao;Xiangnan He;Hanwang Zhang;Tat-Seng Chua

  • Counterfactual VQA: A Cause-Effect Look at Language Bias

    Yulei Niu;Kaihua Tang;Hanwang Zhang;Zhiwu Lu

  • Video Question Answering via Gradually Refined Attention over Appearance and Motion

    Dejing Xu;Zhou Zhao;Jun Xiao;Fei Wu

  • Counterfactual Samples Synthesizing for Robust Visual Question Answering

    Long Chen;Xin Yan;Jun Xiao;Hanwang Zhang

  • Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks

    Long Chen;Hanwang Zhang;Jun Xiao;Wei Liu

  • Discrete Collaborative Filtering

    Hanwang Zhang;Fumin Shen;Wei Liu;Xiangnan He

  • Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

    Kaihua Tang;Jianqiang Huang;Hanwang Zhang

  • Causal intervention for weakly-supervised semantic segmentation

    Dong Zhang;Hanwang Zhang;Jinhui Tang;Xian-Sheng Hua

  • Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder

    Jingkuan Song;Hanwang Zhang;Xiangpeng Li;Lianli Gao

  • Learning to Assemble Neural Module Tree Networks for Visual Grounding

    Daqing Liu;Hanwang Zhang;Zheng-Jun Zha;Feng Wu

  • Visual Commonsense R-CNN

    Tan Wang;Jianqiang Huang;Hanwang Zhang;Qianru Sun

  • Grounding Referring Expressions in Images by Variational Context

    Hanwang Zhang;Yulei Niu;Shih-Fu Chang

Frequent Co-Authors

Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Xiangnan He
Xiangnan He University of Science and Technology of China
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Shih-Fu Chang
Shih-Fu Chang Columbia University
Yang Yang
Yang Yang University of Electronic Science and Technology of China
Jun Xiao
Jun Xiao University of Wisconsin–Madison
Meng Wang
Meng Wang Hefei University of Technology
Wei Liu
Wei Liu Tencent (China)
Liqiang Nie
Liqiang Nie Shandong University
Richang Hong
Richang Hong Hefei University of Technology

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