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Yuanqing Lin

Yuanqing Lin

D-Index & Metrics

Computer Science

D-Index
35
Citations
8525
World Ranking
11465
National Ranking
1422

Overview

Yuanqing Lin is affiliated with Aibee Inc. in China and conducts research primarily in the fields of Engineering and Computer Science. Their work spans various subfields, with a focus on Civil and Structural Engineering, Geology, Mechanical Engineering, Ecology, and Molecular Medicine.

The scientist has contributed to several research topics, including:

  • Infrastructure Maintenance and Monitoring
  • 3D Surveying and Cultural Heritage
  • Tree Root and Stability Studies
  • Bacteriophages and Microbial Interactions
  • Antibiotic Resistance in Bacteria
  • Vibrio Bacteria Research Studies
  • Wind and Air Flow Studies

Yuanqing Lin's recent publications cover a range of interdisciplinary subjects. Notable papers include:

  • "Automated structural design of shear wall residential buildings using generative adversarial networks," 2021, published in Automation in Construction
  • "Recent Progress in Phage Therapy to Modulate Multidrug-Resistant Acinetobacter baumannii, including in Human and Poultry," 2022, published in Antibiotics
  • "Intelligent Generative Design for Shear Wall Cross-Sectional Size Using Rule-Embedded Generative Adversarial Network," 2023, published in Journal of Structural Engineering
  • "Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters," 2022, published in arXiv (Cornell University)
  • "Comparison of seismic performance between typical structural steel buildings designed following the Chinese and United States codes," 2021, published in Advances in Structural Engineering

The research collaborations of Yuanqing Lin include repeated partnerships with several coauthors, specifically:

  • Wenjie Liao
  • Xinzheng Lu
  • Yuli Huang
  • Zhe Zheng
  • Yan Zhang

Frequent publication venues for Yuanqing Lin include Automation in Construction, Antibiotics, Journal of Structural Engineering, Advances in Structural Engineering, and arXiv (Cornell University). These venues reflect the multidisciplinary nature of their research output, ranging from structural engineering to microbiology and machine learning applications in engineering.

Best Publications

  • Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers

    Fan Yang;Wongun Choi;Yuanqing Lin

  • The ApolloScape Dataset for Autonomous Driving

    Xinyu Huang;Xinjing Cheng;Qichuan Geng;Binbin Cao

  • Deep Metric Learning with Angular Loss

    Jian Wang;Feng Zhou;Shilei Wen;Xiao Liu

  • Large-scale image classification: Fast feature extraction and SVM training

    Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Data-driven 3D Voxel Patterns for object category recognition

    Yu Xiang;Wongun Choi;Yuanqing Lin;Silvio Savarese

  • Multiplicative Updates for Nonnegative Quadratic Programming

    Fei Sha;Yuanqing Lin;Lawrence K. Saul;Daniel D. Lee

  • Kernel Pooling for Convolutional Neural Networks

    Yin Cui;Feng Zhou;Jiang Wang;Xiao Liu

  • Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection

    Yu Xiang;Wongun Choi;Yuanqing Lin;Silvio Savarese

  • Learning image representations from the pixel level via hierarchical sparse coding

    Kai Yu;Yuanqing Lin;John Lafferty

  • Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop

    Yin Cui;Feng Zhou;Yuanqing Lin;Serge Belongie

  • Object-Centric Spatial Pooling for Image Classification

    Olga Russakovsky;Yuanqing Lin;Kai Yu;Li Fei-Fei

  • Embedding Label Structures for Fine-Grained Feature Representation

    Xiaofan Zhang;Feng Zhou;Yuanqing Lin;Shaoting Zhang

  • Hyper-class augmented and regularized deep learning for fine-grained image classification

    Saining Xie;Tianbao Yang;Xiaoyu Wang;Yuanqing Lin

  • Fine-Grained Image Classification by Exploring Bipartite-Graph Labels

    Feng Zhou;Yuanqing Lin

  • Fine-grained visual categorization via multi-stage metric learning

    Qi Qian;Rong Jin;Shenghuo Zhu;Yuanqing Lin

  • Fully Convolutional Attention Networks for Fine-Grained Recognition

    Xiao Liu;Tian Xia;Jiang Wang;Yi Yang

  • Semantic-Aware Co-Indexing for Image Retrieval

    Shiliang Zhang;Ming Yang;Xiaoyu Wang;Yuanqing Lin

  • Dense Object Reconstruction with Semantic Priors

    Sid Yingze Bao;Manmohan Chandraker;Yuanqing Lin;Silvio Savarese

Frequent Co-Authors

Feng Zhou
Feng Zhou University of Michigan–Ann Arbor
Xiao Liu
Xiao Liu Baidu (China)
Silvio Savarese
Silvio Savarese Stanford University
Qi Tian
Qi Tian Huawei Technologies (China)
Tianbao Yang
Tianbao Yang Texas A&M University
Peng Wang
Peng Wang Baidu (China)
Ruigang Yang
Ruigang Yang University of Kentucky
Serge Belongie
Serge Belongie University of Copenhagen
Xavier Intes
Xavier Intes Rensselaer Polytechnic Institute

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