2026 Baining Guo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	85	785	756	424	406	286	64484

Research.com Recognitions

2011 - ACM Fellow For contributions to computer graphics.
2010 - IEEE Fellow For contributions to surface appearance modeling and rendering in computer graphics
The Canadian Academy of Engineering
The Canadian Academy of Engineering
The Canadian Academy of Engineering

Overview

Baining Guo is a researcher affiliated with Microsoft in the United States. Their work spans multiple aspects of decision sciences, with a focus on statistical methods and engineering applications.

The main fields of study for Baining Guo include:

Decision Sciences

Within this broader area, their subfields of specialization incorporate:

Statistics, Probability and Uncertainty
Statistics and Probability
Control and Systems Engineering
Management Science and Operations Research
General Health Professions

Baining Guo's research topics cover:

Advanced Statistical Process Monitoring
Fault Detection and Control Systems
Scientific Measurement and Uncertainty Evaluation
Advanced Statistical Methods and Models
Statistical Distribution Estimation and Applications
Optimal Experimental Design Methods
Probabilistic and Robust Engineering Design

Their recent publications demonstrate engagement with statistical quality control and interval estimation methodologies. Some of the recent papers include:

"Generalized confidence intervals of quantile-based process capability indices for inverse Gaussian distribution," 2022, Quality Technology & Quantitative Management
"Generalized interval estimation of process capability indices for the Birnbaum-Saunders distribution," 2022, Quality and Reliability Engineering International
"Design of Shewhart-type control charts with estimated parameter for the Rayleigh distribution using frequentist and Bayesian approaches," 2022, Quality Technology & Quantitative Management
"Constructing exact tolerance intervals for the exponential distribution based on record values," 2020, Quality and Reliability Engineering International
"Exact two-sided tolerance interval controlling tail proportions for sample variances," 2020, Quality and Reliability Engineering International

The venues in which Baining Guo most frequently publishes include:

Quality and Reliability Engineering International
Quality Technology & Quantitative Management
SSRN Electronic Journal
Quality Engineering
PLoS ONE

Baining Guo has worked with a number of frequent coauthors, such as:

Qiming Xia
Wei Wang
Yingying Sun
Pingye Gong
Jie Xuan

Their research contributions have been recognized by fellowships in professional organizations including:

ACM Fellow in 2011 for contributions to computer graphics
IEEE Fellow in 2010 for contributions to surface appearance modeling and rendering in computer graphics
Membership in The Canadian Academy of Engineering

Best Publications

Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Ze Liu;Yutong Lin;Yue Cao;Han Hu

29104
Citations
Swin Transformer V2: Scaling Up Capacity and Resolution

Unknown

2875
Citations
Real-time texture synthesis by patch-based sampling

Lin Liang;Ce Liu;Ying-Qing Xu;Baining Guo

1152
Citations
Face X-Ray for More General Face Forgery Detection

Lingzhi Li;Jianmin Bao;Ting Zhang;Hao Yang

959
Citations
Vector Quantized Diffusion Model for Text-to-Image Synthesis

Unknown

930
Citations
Learning Texture Transformer Network for Image Super-Resolution

Fuzhi Yang;Huan Yang;Jianlong Fu;Hongtao Lu

929
Citations
Real-time KD-tree construction on graphics hardware

Kun Zhou;Qiming Hou;Rui Wang;Baining Guo

843
Citations
Mesh editing with poisson-based gradient field manipulation

Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

825
Citations
Large mesh deformation using the volumetric graph Laplacian

Kun Zhou;Jin Huang;John Snyder;Xinguo Liu

533
Citations
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

Yanhong Zeng;Jianlong Fu;Hongyang Chao;Baining Guo

454
Citations
Synthesis of bidirectional texture functions on arbitrary surfaces

Xin Tong;Jingdan Zhang;Ligang Liu;Xi Wang

366
Citations
Subspace gradient domain mesh deformation

Jin Huang;Xiaohan Shi;Xinguo Liu;Kun Zhou

350
Citations
Dynamic player groups for interest management in multi-character virtual environments

Bo Zhang;Baining Guo;Heung-Yeung Shum

332
Citations
StyleSwin: Transformer-based GAN for High-resolution Image Generation

Unknown

324
Citations
Chaos Mosaic: Fast and Memory Efficient Texture Synthesis

Baining Guo;Harry Shum;Ying-Qing Xu

278
Citations
Synthesis of progressively-variant textures on arbitrary surfaces

Jingdan Zhang;Kun Zhou;Luiz Velho;Baining Guo

274
Citations
An interactive approach to semantic modeling of indoor scenes with an RGBD camera

Tianjia Shao;Weiwei Xu;Kun Zhou;Jingdong Wang

269
Citations
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

Unknown

267
Citations
View-dependent displacement mapping

Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin

258
Citations
Kinect Identity: Technology and Experience

T Leyvand;C Meekhof;Yi-Chen Wei;Jian Sun

239
Citations
Data-Parallel Octrees for Surface Reconstruction

Kun Zhou;Minmin Gong;Xin Huang;Baining Guo

228
Citations
Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders

Huan Yang;Baoyuan Wang;Stephen Lin;David Wipf

224
Citations
Precomputed shadow fields for dynamic scenes

Kun Zhou;Yaohua Hu;Stephen Lin;Baining Guo

214
Citations
Geometry-driven photorealistic facial expression synthesis

Qingshan Zhang;Zicheng Liu;Baining Guo;Harry Shum

107
Citations

Frequent Co-Authors

Heung-Yeung Shum Microsoft (United States)

Kun Zhou Zhejiang University

Stephen Lin Microsoft Research Asia (China)

Xin Tong Microsoft Research Asia (China)

John Snyder Microsoft (United States)

Ying-Qing Xu Tsinghua University

Hujun Bao Zhejiang University

Zicheng Liu Microsoft (United States)

Yizhou Yu University of Hong Kong

Yang Liu Microsoft Research Asia (China)

External Links

Personal website of Baining Guo Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring Computer Science is just the beginning—there are several related disciplines you can pursue online to broaden your career prospects. Many students consider fields like engineering, physics, and data science, each offering unique opportunities and challenges.

For those interested in engineering, understanding the mechanical engineering cost of education is essential, as tuition and associated expenses can vary widely among online programs. Similarly, a solid foundation in science is often valued in tech-driven roles, and a bachelor of science in physics online can open doors to research, education, and industry positions.

The tech sector continues to see high demand for data professionals. Following a clear data science learning path can help you build expertise in analytics, machine learning, and AI—skills crucial for today’s job market. Electrical engineering is another top choice; earning your online bachelor’s in electrical engineering can lead to innovative careers in technology, automation, and communication systems.