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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
122
Citations
69596
World Ranking
137
National Ranking
17

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2009 - IEEE Fellow For contributions to face recognition, pattern recognition and computer vision

Overview

Stan Z. Li is affiliated with Westlake University in China and has a research background spanning computer science and biochemistry, genetics, and molecular biology. Their scholarly work encompasses a blend of theoretical and applied topics, notably at the intersection of artificial intelligence and molecular biology.

Their research output includes a substantial number of publications, reflecting contributions to both foundational computational methods and domain-specific applications. Key recent papers include:

  • "A Survey on Generative Diffusion Models" (2024) published in IEEE Transactions on Knowledge and Data Engineering
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study" (2020) published in IEEE Transactions on Image Processing
  • "SimVP: Simpler yet Better Video Prediction" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation" (2022) presented in the Proceedings of the ACM Web Conference 2022
  • "Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive" (2021) published in IEEE Transactions on Knowledge and Data Engineering

Their collaborative work often involves frequent co-authors such as Zhangyang Gao, Zelin Zang, Lirong Wu, and Cheng Tan. These collaborations reflect sustained scholarly relationships across multiple projects and studies.

Stan Z. Li's work has been disseminated through various prominent publication venues, notable among these are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Briefings in Bioinformatics

They have also contributed to books published by Morgan & Claypool Publishers, including titles such as "Multi-Modal Face Presentation Attack Detection" (2020) and "Advances in Face Presentation Attack Detection" (2023).

Their expertise spans several subfields within computer science and biology, including:

  • Molecular Biology
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Signal Processing

Within their research topics, the scientist has extensively addressed areas such as:

  • Machine Learning in Bioinformatics
  • Advanced Graph Neural Networks
  • Protein Structure and Dynamics
  • Face recognition and analysis
  • Domain Adaptation and Few-Shot Learning
  • Computational Drug Discovery Methods
  • Biometric Identification and Security

Stan Z. Li has been recognized as an IEEE Fellow since 2009 for contributions to face recognition, pattern recognition, and computer vision.

Best Publications

  • Handbook of Face Recognition

    Stan Z. Li;Anil K. Jain

  • Markov Random Field Modeling in Image Analysis

    Stan Z. Li

  • Markov random field models in computer vision

    Stan Z. Li

  • Person re-identification by Local Maximal Occurrence representation and metric learning

    Shengcai Liao;Yang Hu;Xiangyu Zhu;Stan Z. Li

  • Learning Face Representation from Scratch

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

    Shifeng Zhang;Cheng Chi;Yongqiang Yao;Zhen Lei

  • Markov Random Field Modeling in Computer Vision

    S. Z. Li

  • Single-Shot Refinement Neural Network for Object Detection

    Shifeng Zhang;Longyin Wen;Xiao Bian;Zhen Lei

  • Deep Metric Learning for Person Re-identification

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Face Alignment Across Large Poses: A 3D Solution

    Xiangyu Zhu;Zhen Lei;Xiaoming Liu;Hailin Shi

  • Learning spatially localized, parts-based representation

    S.Z. Li;Xin Wen Hou;Hong Jiang Zhang;Qian Sheng Cheng

  • A face antispoofing database with diverse attacks

    Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei

  • Face recognition by support vector machines

    Guodong Guo;S.Z. Li;Kapluk Chan

  • Learning multi-scale block local binary patterns for face recognition

    Shengcai Liao;Xiangxin Zhu;Zhen Lei;Lun Zhang

  • Illumination Invariant Face Recognition Using Near-Infrared Images

    S.Z. Li;RuFeng Chu;ShengCai Liao;Lun Zhang

  • Facial expression recognition from near-infrared videos

    Guoying Zhao;Xiaohua Huang;Matti Taini;Stan Z. Li

  • FloatBoost learning and statistical face detection

    S.Z. Li;Zhenqiu Zhang

  • Face recognition using the nearest feature line method

    S.Z. Li;Juwei Lu

  • Content-based audio classification and retrieval by support vector machines

    Guodong Guo;S.Z. Li

  • S^3FD: Single Shot Scale-Invariant Face Detector

    Shifeng Zhang;Xiangyu Zhu;Zhen Lei;Hailin Shi

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

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

Frequent Co-Authors

Zhen Lei
Zhen Lei Chinese Academy of Sciences
Shengcai Liao
Shengcai Liao United Arab Emirates University
Dong Yi
Dong Yi Winsense Co., Ltd.
Shifeng Zhang
Shifeng Zhang Beijing Forestry University
Junjie Yan
Junjie Yan SenseTime
Longyin Wen
Longyin Wen ByteDance
Guodong Guo
Guodong Guo West Virginia University
Ran He
Ran He Chinese Academy of Sciences
Sergio Escalera
Sergio Escalera University of Barcelona

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