World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
11108
World Ranking
3300
National Ranking
1597

Research.com Recognitions

  • 2014 - Fellow of American Physical Society (APS) Citation For pioneering work in the development of theoretical and numerical methods for highintensity beam dynamics, and geometric approach and algorithms for gyrokinetic theory
  • 2001 - Fellow of Alfred P. Sloan Foundation

Overview

Hong Qin is affiliated with Stony Brook University in the United States and has contributed extensively to the fields of computer science and engineering. Their research spans several subfields, with a strong focus on computer vision and pattern recognition, computational mechanics, computer graphics, and computer-aided design, as well as management science and operations research.

The scientist's main areas of work include:

  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Visual Attention and Saliency Detection
  • Optimal Experimental Design Methods
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Advanced Multi-Objective Optimization Algorithms

Hong Qin's publication record features nearly 200 works in computer science and close to 100 in engineering. Frequently published venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • The Visual Computer
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal

Recent papers authored or co-authored by Hong Qin include:

  • A Global-Local Self-Adaptive Network for Drone-View Object Detection, 2020, IEEE Transactions on Image Processing
  • Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Depth-Quality-Aware Salient Object Detection, 2021, IEEE Transactions on Image Processing
  • Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion, 2020, IEEE Transactions on Image Processing
  • Iterative poisson surface reconstruction (iPSR) for unoriented points, 2022, ACM Transactions on Graphics

Hong Qin has collaborated frequently with several researchers, including:

  • Aimin Hao
  • Shuai Li
  • Chenglizhao Chen
  • Yang Gao
  • Wenfeng Song

In addition to articles, Hong Qin has contributed to books published by Nova Science Publishers, Inc. eBooks. One notable title is "Landscape of Pattern Learning Applied to Public Health and Social Sciences," published in 2024.

Over the course of their career, Hong Qin has received distinctions such as Fellow of the American Physical Society (APS) in 2014 for contributions to theoretical and numerical methods in beam dynamics and algorithms for gyrokinetic theory. They are also a Fellow of the Alfred P. Sloan Foundation since 2001.

Best Publications

  • Dynamic NURBS with geometric constraints for interactive sculpting

    Demetri Terzopoulos;Hong Qin

  • Polycube splines

    Hongyu Wang;Ying He;Xin Li;Xianfeng Gu

  • Manifold splines

    Xianfeng Gu;Ying He;Hong Qin

  • D-NURBS: a physics-based framework for geometric design

    Hong Qin;D. Terzopoulos

  • Virtual clay: a real-time sculpting system with haptic toolkits

    Kevin T. McDonnell;Hong Qin;Robert A. Wlodarczyk

  • A Global-Local Self-Adaptive Network for Drone-View Object Detection

    Sutao Deng;Shuai Li;Ke Xie;Wenfeng Song

  • Video Saliency Detection via Spatial-Temporal Fusion and Low-Rank Coherency Diffusion

    Chenglizhao Chen;Shuai Li;Yongguang Wang;Hong Qin

  • Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval

    Yi Liu;Hongbin Zha;Hong Qin

  • Multi-view multi-scale CNNs for lung nodule type classification from CT images

    Xinglong Liu;Fei Hou;Hong Qin;Aimin Hao

  • Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition

    Wenfeng Song;Shuai Li;Ji Liu;Hong Qin

  • Harmonic volumetric mapping for solid modeling applications

    Xin Li;Xiaohu Guo;Hongyu Wang;Ying He

  • Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

    Dongbo Zhang;Xuequan Lu;Hong Qin;Ying He

  • Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

    Xuehao Wang;Shuai Li;Chenglizhao Chen;Yuming Fang

  • Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes.

    Hong Qin;Wei Biao Wu;T. Josep M. Comeron;Martin Kreitman

  • Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces

    Ye Duan;Liu Yang;Hong Qin;Dimitris Samaras

  • Dynamic Catmull-Clark subdivision surfaces

    Hong Qin;C. Mandal;B.C. Vemuri

  • Nationality Classification Using Name Embeddings

    Junting Ye;Shuchu Han;Yifan Hu;Baris Coskun

  • Technical Section: A divide-and-conquer approach for automatic polycube map construction

    Ying He;Hongyu Wang;Chi-Wing Fu;Hong Qin

  • Surface Reconstruction of Noisy and Defective Data Sets

    Hui Xie;Kevin T. McDonnell;Hong Qin

  • Haptic sculpting of dynamic surfaces

    Frank Dachille;Hong Qin;Arie Kaufman;Jihad El-Sana

  • A novel haptics-based interface and sculpting system for physics-based geometric design

    F. Dachille Ix;H. Qin;A. Kaufman

  • Real-time meshless deformation: Collision Detection and Deformable Objects

    Xiaohu Guo;Hong Qin

Frequent Co-Authors

Ying He
Ying He Nanyang Technological University
Xianfeng Gu
Xianfeng Gu Stony Brook University
Baba C. Vemuri
Baba C. Vemuri University of Florida
Kevin G. Yager
Kevin G. Yager Brookhaven National Laboratory
Hongbin Zha
Hongbin Zha Peking University
Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Yong-Jin Liu
Yong-Jin Liu Tsinghua University
Steven Skiena
Steven Skiena Stony Brook University
Ming Dong
Ming Dong Wayne State University

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