Zhaowen Li

ORCID: 0000-0002-4437-9214
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About
Contact & Profiles
Research Areas
  • Rough Sets and Fuzzy Logic
  • Multi-Criteria Decision Making
  • Advanced Algebra and Logic
  • Data Mining Algorithms and Applications
  • Fuzzy and Soft Set Theory
  • Imbalanced Data Classification Techniques
  • Fuzzy Logic and Control Systems
  • Advanced Topology and Set Theory
  • Data Management and Algorithms
  • Anomaly Detection Techniques and Applications
  • Text and Document Classification Technologies
  • Neural Networks and Applications
  • Gene expression and cancer classification
  • Image Retrieval and Classification Techniques
  • Machine Learning and Data Classification
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Computational Techniques and Applications
  • Fuzzy Systems and Optimization
  • Fixed Point Theorems Analysis
  • Rings, Modules, and Algebras
  • Metal-Organic Frameworks: Synthesis and Applications
  • Statistical and Computational Modeling
  • Advanced Photocatalysis Techniques

Putian University
2023-2025

Yunnan Agricultural University
2024

Beijing University of Civil Engineering and Architecture
2023-2024

Nanning Normal University
2023-2024

University of Science and Technology
2024

Yulin Normal University
2018-2023

National Administration of Surveying, Mapping and Geoinformation of China
2023

Shandong Institute of Automation
2022

Beijing Academy of Artificial Intelligence
2022

University of Chinese Academy of Sciences
2022

A novel multifunctional supramolecular hydrogel with self-healing, shape memory and adhesive properties is successfully developed on the basis of dynamic phenylboronic acid (PBA)–catechol interactions.

10.1039/c6py01112h article EN Polymer Chemistry 2016-01-01

Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it not fully explored visual learning. Meanwhile, previous methods only consider the high-level feature learning representation from a global perspective, which may fail to transfer downstream dense prediction tasks focusing on local features. In this paper, we present novel Masked Self-supervised approach named MST, can explicitly capture context of an...

10.48550/arxiv.2106.05656 preprint EN cc-by arXiv (Cornell University) 2021-01-01

A fuzzy relation information system may be viewed as an with relations. Uncertainty measurement is a critical evaluating tool. This paper investigates uncertainty for system. The concept of structures in first described by using set vectors. Then, dependence between given. Next, the axiom definition granularity systems proposed means its structures. Based upon this definition, granulation and rough entropy are proposed. Moreover, entropy, amount, joint condition also considered. To show...

10.1109/tfuzz.2019.2898158 article EN IEEE Transactions on Fuzzy Systems 2019-01-01

10.1016/j.camwa.2011.12.011 article EN publisher-specific-oa Computers & Mathematics with Applications 2011-12-27

In the contemporary epoch of massive data, fuzziness labels and high dimensionality feature space are prevalent characteristics data. As a mathematical methodology for managing uncertainty, Dempster-Shafer evidence theory has found widespread applications in artificial intelligence, pattern recognition, decision analysis. However, it not garnered adequate attention label distribution learning (LDL). This paper studies selection LDL using theory. First, distance maps given, respectively....

10.1007/s10489-024-05879-z article EN other-oa Applied Intelligence 2025-01-03

10.1016/j.asoc.2015.02.027 article EN Applied Soft Computing 2015-02-26
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