World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6921
World Ranking
9717
National Ranking
4108

Overview

Yuan-Fang Wang is affiliated with the University of California, Santa Barbara in the United States. Their research spans multiple disciplines, primarily within Computer Science, Engineering, and Medicine.

Their work includes a diverse range of topics such as HIV/AIDS drug development and treatment, HIV research and treatment, video surveillance and tracking methods, natural language processing techniques, sports analytics and performance, sports performance and training, and domain adaptation and few-shot learning.

The scientist has contributed extensively to subfields including Computer Vision and Pattern Recognition, Organic Chemistry, Artificial Intelligence, Mechanical Engineering, and Materials Chemistry.

Among their recent papers are:

  • "Targeted delivery of celastrol to glomerular endothelium and podocytes for chronic kidney disease treatment" (2021), published in Nano Research
  • "FDLR-Net: A feature decoupling and localization refinement network for object detection in remote sensing images" (2023), published in Expert Systems with Applications
  • "Neurosyphilis: insights into its pathogenesis, susceptibility, diagnosis, treatment, and prevention" (2024), published in Frontiers in Neurology
  • "Vision-Language Navigation Policy Learning and Adaptation" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Clinical characteristics and outcomes of patients with multidrug-resistant Gram-negative bacterial infections treated with ceftazidime/avibactam" (2020), published in Journal of Global Antimicrobial Resistance

Frequent coauthors in their research include Haotian Xia, Jinsheng Xiao, Rhys Tracy, Weining Shen, and Arun K. Ghosh. Collaborations with these researchers account for multiple joint publications.

Yuan-Fang Wang has published in various well-known venues. The most frequent publication venues are arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, Journal of Iron and Steel Research International, PubMed, and Expert Systems with Applications.

Best Publications

  • Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

    Xin Wang;Qiuyuan Huang;Asli Celikyilmaz;Jianfeng Gao

  • Adaptive stream resource management using Kalman Filters

    Ankur Jain;Edward Y. Chang;Yuan-Fang Wang

  • VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

    Xin Wang;Jiawei Wu;Junkun Chen;Lei Li

  • The use of bigrams to enhance text categorization

    Chade-Meng Tan;Yuan-Fang Wang;Chan-Do Lee

  • An eigenspace update algorithm for image analysis

    S. Chandrasekaran;B. S. Manjunath;Y. F. Wang;J. Winkeler

  • MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

    Da Zhang;Xiyang Dai;Xin Wang;Yuan-Fang Wang

  • Video Captioning via Hierarchical Reinforcement Learning

    Xin Wang;Wenhu Chen;Jiawei Wu;Yuan-Fang Wang

  • Human activity detection and recognition for video surveillance

    Wei Niu;Jiao Long;Dan Han;Yuan-Fang Wang

  • Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification

    Jiangyuan Mei;Meizhu Liu;Yuan-Fang Wang;Huijun Gao

  • Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer

    Xin Wang;Geoffrey Oxholm;Da Zhang;Yuan-Fang Wang

  • No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

    Xin Wang;Wenhu Chen;Yuan-Fang Wang;William Yang Wang

  • Geometric and illumination invariants for object recognition

    R. Alferez;Yuan-Fang Wang

  • Computation of Surface Orientation and Structure of Objects Using Grid Coding

    Y. F. Wang;A. Mitiche;J. K. Aggarwal

  • Deep Reinforcement Learning for Visual Object Tracking in Videos.

    Da Zhang;Hamid Maei;Xin Wang;Yuan-Fang Wang

  • Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance

    Gang Wu;Yi Wu;Long Jiao;Yuan-Fang Wang

  • Adaptive multi-modal integrated biometric identification detection and surveillance systems

    Ken Prayoon Cheng;Edward Y Chang;Yuan Fang Wang

  • Smoke Detection in Video

    DongKeun Kim;Yuan-Fang Wang

  • Automated instrument tracking in robotically assisted laparoscopic surgery.

    Darrin R. Uecker;Cheolwhan Lee;Y.F. Wang;Yulun Wang

  • Surface reconstruction and representation of 3-D scenes

    Y F Wang;J K Aggarwal

  • Efficient molecular surface generation using level-set methods

    Tolga Can;Chao-I Chen;Yuan-Fang Wang

  • Design and Implementation of Large Spatial Databases

    Alejandro P. Buchmann;Oliver Günther;Terence R. Smith;Yuan-Fang Wang

  • Matching Three-Dimensional Objects Using Silhouettes

    Y. F. Wang;M. J. Magee;J. K. Aggarwal

Frequent Co-Authors

William Yang Wang
William Yang Wang University of California, Santa Barbara
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin
Lei Zhang
Lei Zhang International Digital Economy Academy
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Ambuj K. Singh
Ambuj K. Singh University of California, Santa Barbara
Jianwen Su
Jianwen Su University of California, Santa Barbara
Larry S. Davis
Larry S. Davis University of Maryland, College Park
B.S. Manjunath
B.S. Manjunath University of California, Santa Barbara
Amar Mitiche
Amar Mitiche Institut National de la Recherche Scientifique

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