Y. B. Li

ORCID: 0009-0006-5109-3288
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Black Holes and Theoretical Physics
  • Software Testing and Debugging Techniques
  • Concrete and Cement Materials Research
  • Innovations in Concrete and Construction Materials
  • Innovative concrete reinforcement materials
  • Advanced Image and Video Retrieval Techniques
  • Computational Physics and Python Applications
  • Atomic and Subatomic Physics Research
  • Complex Network Analysis Techniques
  • Software System Performance and Reliability
  • Quantum Information and Cryptography
  • Face Recognition and Perception
  • Smart Agriculture and AI
  • Software Reliability and Analysis Research
  • Adversarial Robustness in Machine Learning
  • Online Learning and Analytics
  • Advanced Graph Neural Networks
  • Intelligent Tutoring Systems and Adaptive Learning
  • Additive Manufacturing and 3D Printing Technologies
  • Image Retrieval and Classification Techniques
  • Engineering Technology and Methodologies
  • Topic Modeling

Tianjin University of Technology and Education
2025

Xidian University
2025

Beihang University
2016-2024

Wuhan University
2024

Shaanxi University of Science and Technology
2022-2023

Jingdong (China)
2022

Boğaziçi University
2016

University of Science and Technology Liaoning
2016

The University of Texas at Dallas
2016

Istanbul Arel University
2016

In the realm of online learning, where resources are abundant, it is essential to customize recommendations and plans meet individual learning needs. This involves not only identifying addressing areas weakness but also aligning journey with each learner’s cognitive preferences. However, existing methods for suggesting structuring paths have notable limitations. To address these challenges, this paper introduces a knowledge graph-based personalized path planning method (KG-PLPPM). By...

10.3390/electronics14020255 article EN Electronics 2025-01-09

With the continuous advancement of quantum computing (QC), demand for high-quality programs (QPs) is growing. To avoid program failure, in software engineering, technology automatic repair (APR) employs appropriate patches to remove potential bugs without intervention a human. However, method tailored repairing defective QPs still absent. This article proposes, best our knowledge, new APR named UnitAR that can via unitary operation automatically. Based on characteristics superposition and...

10.1145/3664604 article EN ACM Transactions on Software Engineering and Methodology 2024-05-11

Cement production is associated with a significant CO2 footprint. Substituting waste resources for cement not only reduces consumption but also contributes to the sustainable development of environment. The incorporation glass slag and steel into cementitious materials addresses resource conservation enhances properties resulting materials. In this work, synergistic effect powder (WGP) (SSP) on mechanical microstructure cement-based has been studied.The results show that when WGP added...

10.2139/ssrn.4756533 preprint EN 2024-01-01

Deep neural networks (DNNs) have achieved tremendous development while they may encounter with incorrect behaviors and result in economic losses. Identifying the most represented data become critical for revealing behaviours improving quality DNN-driven systems. Various testing strategies DNNs been proposed. However, DNN is still at early stage existing might not sufficiently effective. Dynamic random (DRT) strategy uses feedback mechanism to guide test case selection, which has proved be...

10.1109/qrs57517.2022.00089 article EN 2022-12-01

The current availability of images for the recognition Chinese herbal pieces is very limited, making it challenging to meet demands development an automatic system pieces, particularly one that uses artificial intelligence. This paper mobile device shooting and crawling technology collect image data multi-scale detail boosting algorithm enhance image, finally rotation, mirror translation expand data, a dataset containing 64,000 commonly used constructed, which divided into 50 categories, can...

10.1117/12.3011577 article EN 2023-12-07

Understanding the performance of data mining approach and topic evolution in a certain scientific domain is imperative to capturing key developments facilitating knowledge transfer within across domains. Our research selects linguistics as an exploratory exploits feature maximization (FM) measurement for selection, combined with contrast ratio conduct diachronic analysis domain’s topics. To accurately mine topics obtain optimal clustering model we exploit integrated method associated deep...

10.3390/axioms11080412 article EN cc-by Axioms 2022-08-18
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