World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8478
World Ranking
10530
National Ranking
4412

Overview

Jun Xiao is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on computer science, with a significant emphasis on the subfields of computer vision and pattern recognition, artificial intelligence, surgery, molecular biology, and radiology, nuclear medicine, and imaging.

The scientist's work encompasses several main topics, including multimodal machine learning applications, domain adaptation and few-shot learning, human pose and action recognition, advanced image and video retrieval techniques, topic modeling, video analysis and summarization, and advanced neural network applications.

Frequent coauthors collaborating with Jun Xiao include Long Chen, Yi Yang, Yueting Zhuang, Jian Shao, and Siliang Tang. The collaborations indicate ongoing research partnerships across multiple projects and publications.

Jun Xiao has published extensively in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the 30th ACM International Conference on Multimedia, SSRN Electronic Journal, and IEEE Transactions on Circuits and Systems for Video Technology. These venues reflect a strong presence in artificial intelligence and multimedia-focused conferences and journals.

Among the recent papers authored by Jun Xiao are:

  • Rethinking the Bottom-Up Framework for Query-Based Video Localization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Boundary Proposal Network for Two-stage Natural Language Video Localization, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Darolutamide in Combination With Androgen-Deprivation Therapy in Patients With Metastatic Hormone-Sensitive Prostate Cancer From the Phase III ARANOTE Trial, 2024, Journal of Clinical Oncology

Best Publications

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

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

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

    Jun Xiao;Hao Ye;Xiangnan He;Hanwang Zhang

  • Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction

    Dejing Xu;Jun Xiao;Zhou Zhao;Jian Shao

  • 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

  • On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks

    Songyang Zhang;Xiaoming Liu;Jun Xiao

  • Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks

    Songyang Zhang;Yang Yang;Jun Xiao;Xiaoming Liu

  • Counterfactual Critic Multi-Agent Training for Scene Graph Generation

    Long Chen;Hanwang Zhang;Jun Xiao;Xiangnan He

  • Boundary Proposal Network for Two-stage Natural Language Video Localization.

    Shaoning Xiao;Long Chen;Songyang Zhang;Wei Ji

  • Rethinking the Bottom-Up Framework for Query-Based Video Localization

    Long Chen;Chujie Lu;Siliang Tang;Jun Xiao

  • Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

    Yunan Ye;Hengzhi Pei;Boxin Wang;Pin-Yu Chen

  • An artificial intelligence based data-driven approach for design ideation

    Liuqing Chen;Pan Wang;Hao Dong;Feng Shi

  • DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization.

    Chujie Lu;Long Chen;Chilie Tan;Xiaolin Li

  • Adaptive unsupervised multi-view feature selection for visual concept recognition

    Yinfu Feng;Jun Xiao;Yueting Zhuang;Xiaoming Liu

  • Hierarchical Fashion Graph Network for Personalized Outfit Recommendation

    Xingchen Li;Xiang Wang;Xiangnan He;Long Chen

  • Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor

    Cheng Chen;Yueting Zhuang;Feiping Nie;Yi Yang

  • Video Question Answering via Attribute-Augmented Attention Network Learning

    Yunan Ye;Zhou Zhao;Yimeng Li;Long Chen

  • Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding

    Long Chen;Wenbo Ma;Jun Xiao;Hanwang Zhang

  • Exploiting temporal stability and low-rank structure for motion capture data refinement

    Yinfu Feng;Jun Xiao;Yueting Zhuang;Xiaosong Yang

  • Federated Unsupervised Representation Learning.

    Fengda Zhang;Kun Kuang;Zhaoyang You;Tao Shen

  • Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation.

    Long Chen;Hanwang Zhang;Jun Xiao;Xiangnan He

Frequent Co-Authors

Yueting Zhuang
Yueting Zhuang Zhejiang University
Fei Wu
Fei Wu Zhejiang University
Zhou Zhao
Zhou Zhao Zhejiang University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Xiangnan He
Xiangnan He University of Science and Technology of China
Wei Liu
Wei Liu Tencent (China)
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Xi Li
Xi Li Zhejiang University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Xiaolin Li
Xiaolin Li Pacific Northwest National Laboratory

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