World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
29563
World Ranking
802
National Ranking
435

Overview

Xiaoming Liu is affiliated with Michigan State University in the United States. Their research spans multiple disciplines within the broad areas of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology.

The scientist's publication record includes work primarily focused on food science and related biological fields. Key subfields of study include Food Science, Molecular Biology, Nutrition and Dietetics, Genetics, and Infectious Diseases.

Their research topics are centered on several domains:

  • Probiotics and Fermented Foods
  • Gut microbiota and health
  • Protein Hydrolysis and Bioactive Peptides
  • Proteins in Food Systems
  • Infant Nutrition and Health
  • Digestive system and related health
  • Composting and Vermicomposting Techniques

Frequent co-authors collaborating with Liu include:

  • Peng Zhou
  • Jianxin Zhao
  • Bo Yang
  • Wei Chen
  • Dasong Liu

Liu has contributed papers to several notable publication venues. Among the most frequent are:

  • Food Bioscience
  • International Dairy Journal
  • Foods
  • Food Hydrocolloids
  • Food Science and Human Wellness

Representative recent papers authored or co-authored by Liu include:

  • "Effects of nitrogen fertilizer and chemical regulation on spring maize lodging characteristics, grain filling and yield formation under high planting density in Heilongjiang Province, China" (2021), published in Journal of Integrative Agriculture
  • "Alkali lignin and sodium lignosulfonate additives promote the formation of humic substances during paper mill sludge composting" (2020), published in Bioresource Technology

Other notable publications connected to Liu's research network focus on gastrointestinal effects, electron transfer capacity in organic matter during composting, and the influence of capsaicin on gut microbiota, reflecting a diverse interest in both agricultural techniques and food-related health science.

Best Publications

  • Image Super-Resolution via Deep Recursive Residual Network

    Ying Tai;Jian Yang;Xiaoming Liu

  • MemNet: A Persistent Memory Network for Image Restoration

    Ying Tai;Jian Yang;Xiaoming Liu;Chunyan Xu

  • Face Alignment Across Large Poses: A 3D Solution

    Xiangyu Zhu;Zhen Lei;Xiaoming Liu;Hailin Shi

  • Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

    Luan Tran;Xi Yin;Xiaoming Liu

  • Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision

    Yaojie Liu;Amin Jourabloo;Xiaoming Liu

  • On the Detection of Digital Face Manipulation

    Hao Dang;Feng Liu;Joel Stehouwer;Xiaoming Liu

  • Synthesis of the H-cluster framework of iron-only hydrogenase

    Cédric Tard;Xiaoming Liu;Saad K. Ibrahim;Maurizio Bruschi

  • FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

    Yu Chen;Ying Tai;Xiaoming Liu;Chunhua Shen

  • CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

    Yuge Huang;Yuhan Wang;Ying Tai;Xiaoming Liu

  • M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

    Garrick Brazil;Xiaoming Liu

  • Face anti-spoofing using patch and depth-based CNNs

    Yousef Atoum;Yaojie Liu;Amin Jourabloo;Xiaoming Liu

  • A 2D azine-linked covalent organic framework for gas storage applications

    Zhongping Li;Xiao Feng;Yongcun Zou;Yuwei Zhang

  • Face Alignment in Full Pose Range: A 3D Total Solution

    Xiangyu Zhu;Xiaoming Liu;Zhen Lei;Stan Z. Li

  • Video-based face recognition using adaptive hidden Markov models

    Xiaoming Liu;Tsuhan Cheng

  • Nonlinear 3D Face Morphable Model

    Luan Tran;Xiaoming Liu

  • Demographic Estimation from Face Images: Human vs. Machine Performance

    Hu Han;Charles Otto;Xiaoming Liu;Anil K. Jain

  • Towards Large-Pose Face Frontalization in the Wild

    Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

  • Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting

    Amin Jourabloo;Xiaoming Liu

  • A robust and luminescent covalent organic framework as a highly sensitive and selective sensor for the detection of Cu(2+) ions.

    Zhongping Li;Yuwei Zhang;Hong Xia;Ying Mu

  • Feature Transfer Learning for Face Recognition With Under-Represented Data

    Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

  • On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks

    Songyang Zhang;Xiaoming Liu;Jun Xiao

Frequent Co-Authors

Peter Henry Tu
Peter Henry Tu General Electric (United States)
Joe M. Regenstein
Joe M. Regenstein Cornell University
Xiaoli Tan
Xiaoli Tan Iowa State University
Ying Tai
Ying Tai Nanjing University
Hao Zhang
Hao Zhang Jiangnan University
Tsuhan Chen
Tsuhan Chen Cornell University
Miaofang Chi
Miaofang Chi Oak Ridge National Laboratory
Yueting Zhuang
Yueting Zhuang Zhejiang University
Manmohan Chandraker
Manmohan Chandraker University of California, San Diego
Kihyuk Sohn
Kihyuk Sohn Google (United States)

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up a range of online degree opportunities in related technical fields. Prospective students may also consider programs in emerging and high-demand areas such as data science, physics, and engineering, which often overlap with core computer science concepts and career paths.

If you are interested in sustainability and technology, an environmental engineering degree offers a unique way to combine computing skills with environmental problem-solving. For those curious about design, manufacturing, or robotics, understanding the mechanical engineering cost of education can help you evaluate your investment in this field.

Physics is another discipline with significant crossover, and the best online physics degree programs often feature strong computing and mathematical foundations. For those interested in big data, analytics, or AI, exploring data science degrees could lead to cutting-edge career pathways after your computer science studies.

Best Scientists Citing Xiaoming Liu

Trending Scientists