World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9777
World Ranking
5880
National Ranking
2663

Overview

Yan Yan is affiliated with the Illinois Institute of Technology in the United States. Their research spans multiple disciplines, including Engineering, Social Sciences, and Computer Science, with a focus on several subfields such as Education, Civil and Structural Engineering, Artificial Intelligence, Mechanical Engineering, and Safety Research.

The research topics covered by Yan Yan include Structural Engineering and Vibration Analysis, Structural Health Monitoring Techniques, Hydraulic and Pneumatic Systems, Disability Education and Employment, Educational and Psychological Assessments, Education Discipline and Inequality, and Telecommunications and Broadcasting Technologies.

Yan Yan has contributed to publications in various venues, with a notable presence in:

  • arXiv (Cornell University)
  • Acta Mechanica Sinica
  • Educational Assessment Evaluation and Accountability

Frequent coauthors collaborating with Yan Yan include Xiaofeng Yang, Yujie Shen, Xiaofu Liu, Zhipeng Wang, and Tess Miller.

Selected recent papers authored or coauthored by Yan Yan include:

  • Long text outline generation: Chinese text outline based on unsupervised framework and large language mode (2024, arXiv (Cornell University))
  • Factors influencing the accuracy of Canada's large-scale assessment data: Policies and practices of exclusion, absenteeism, and social promotion (2022, Educational Assessment Evaluation and Accountability)
  • Optimal design and dynamic performance analysis of HMDV suspension based on bridge network (2025, Acta Mechanica Sinica)
  • GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation (2024, arXiv (Cornell University))

Best Publications

  • Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

    Dan Xu;Elisa Ricci;Yan Yan;Jingkuan Song

  • A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification

    Yutian Lin;Xuanyi Dong;Liang Zheng;Yan Yan

  • Detecting anomalous events in videos by learning deep representations of appearance and motion

    Dan Xu;Yan Yan;Elisa Ricci;Elisa Ricci;Nicu Sebe

  • Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning

    Yu Wu;Yutian Lin;Xuanyi Dong;Yan Yan

  • Style Aggregated Network for Facial Landmark Detection

    Xuanyi Dong;Yan Yan;Wanli Ouyang;Yi Yang

  • Fortune teller: predicting your career path

    Ye Liu;Luming Zhang;Liqiang Nie;Yan Yan

  • Person Re-identification via Recurrent Feature Aggregation

    Yichao Yan;Bingbing Ni;Zhichao Song;Chao Ma

  • Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation

    Hao Tang;Dan Xu;Nicu Sebe;Yanzhi Wang

  • Multitask Linear Discriminant Analysis for View Invariant Action Recognition

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

  • Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition

    Yahong Han;Yi Yang;Yan Yan;Zhigang Ma

  • Progressive Learning for Person Re-Identification With One Example

    Yu Wu;Yutian Lin;Xuanyi Dong;Yan Yan

  • Dual Attention Matching for Audio-Visual Event Localization

    Yu Wu;Linchao Zhu;Yan Yan;Yi Yang

  • Recurrent Face Aging

    Wei Wang;Zhen Cui;Yan Yan;Jiashi Feng

  • Hybrid heterogeneous transfer learning through deep learning

    Joey Tianyi Zhou;Sinno Jialin Pan;Ivor W. Tsang;Yan Yan

  • Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

    Hao Tang;Dan Xu;Yan Yan;Philip H.S. Torr

  • Graph self-representation method for unsupervised feature selection

    Rongyao Hu;Xiaofeng Zhu;Debo Cheng;Wei He

  • Egocentric Daily Activity Recognition via Multitask Clustering

    Yan Yan;Elisa Ricci;Gaowen Liu;Nicu Sebe

  • Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

    Hao Tang;Dan Xu;Nicu Sebe;Yan Yan

  • Image Classification by Cross-Media Active Learning With Privileged Information

    Yan Yan;Feiping Nie;Wen Li;Chenqiang Gao

  • Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50

    Lawrence V. Fulton;Diane Dolezel;Jordan Harrop;Yan Yan

  • No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Oswald Lanz

  • A Multi-Task Learning Framework for Head Pose Estimation under Target Motion

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

Frequent Co-Authors

Nicu Sebe
Nicu Sebe University of Trento
Tianbao Yang
Tianbao Yang Texas A&M University
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Jingkuan Song
Jingkuan Song Columbia University
Liqiang Nie
Liqiang Nie Shandong University
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware

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