Zhengdong Luo

ORCID: 0009-0005-8745-8528
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Chemical Sensor Technologies
  • Nutritional Studies and Diet
  • Concrete and Cement Materials Research
  • Innovative concrete reinforcement materials
  • Spectroscopy and Chemometric Analyses
  • Superconducting Materials and Applications
  • Neural Networks and Applications
  • Advanced Text Analysis Techniques
  • Imbalanced Data Classification Techniques
  • Landfill Environmental Impact Studies
  • Image Retrieval and Classification Techniques
  • Technology and Data Analysis
  • Grouting, Rheology, and Soil Mechanics
  • Computational and Text Analysis Methods
  • Magnetic confinement fusion research
  • Artificial Intelligence in Healthcare
  • Building materials and conservation
  • Privacy-Preserving Technologies in Data
  • Biochemical Analysis and Sensing Techniques
  • Particle accelerators and beam dynamics
  • Network Security and Intrusion Detection
  • Geotechnical Engineering and Soil Stabilization
  • Text and Document Classification Technologies
  • Culinary Culture and Tourism
  • Innovations in Concrete and Construction Materials

Xiangtan University
2023-2025

Xinjiang Technical Institute of Physics & Chemistry
2024-2025

Chinese Academy of Sciences
2015-2025

University of Chinese Academy of Sciences
2019-2024

Institute of Computing Technology
2019-2020

Recently, food recognition has received more and attention in image processing computer vision for its great potential applications human health. Most of the existing methods directly extracted deep visual features via convolutional neural networks (CNNs) recognition. Such ignore characteristics images are, thus, hard to achieve optimal performance. In contrast general object recognition, typically do not exhibit distinctive spatial arrangement common semantic patterns. this paper, we...

10.1109/tip.2019.2929447 article EN IEEE Transactions on Image Processing 2019-07-29

Food recognition has received more and attention in the multimedia community for its various real-world applications, such as diet management self-service restaurants. A large-scale ontology of food images is urgently needed developing advanced algorithms, well providing benchmark dataset algorithms. To encourage further progress recognition, we introduce ISIA Food-500 with 500 categories from list Wikipedia 399,726 images, a comprehensive that surpasses existing popular datasets by category...

10.1145/3394171.3414031 article EN Proceedings of the 30th ACM International Conference on Multimedia 2020-10-12

Recently, food recognition is gaining more attention in the multimedia community due to its various applications, e.g., multimodal foodlog and personalized healthcare. Most of existing methods directly extract visual features whole image using popular deep networks for without considering own characteristics. Compared with other types object images, images generally do not exhibit distinctive spatial arrangement common semantic patterns, thus are very hard capture discriminative information....

10.1145/3343031.3350948 article EN Proceedings of the 30th ACM International Conference on Multimedia 2019-10-15

10.1109/icassp49660.2025.10889227 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10888639 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

As an innovative inorganic cementitious material, geopolymer holds significant application potential in the field of road engineering. Based on theoretical basis industrial solid waste resource utilization and combined with geopolymerization technology, this study investigates feasibility applying lead–zinc-tailing-based geopolymer–stabilized aggregate (LZT-GSA) engineering through systematic mechanical property tests, durability assessment, microstructural characterization. The focuses...

10.3390/pr13030884 article EN Processes 2025-03-17

Food recognition has received more and attention in the multimedia community for its various real-world applications, such as diet management self-service restaurants. A large-scale ontology of food images is urgently needed developing advanced algorithms, well providing benchmark dataset algorithms. To encourage further progress recognition, we introduce ISIA Food- 500 with categories from list Wikipedia 399,726 images, a comprehensive that surpasses existing popular datasets by category...

10.48550/arxiv.2008.05655 preprint EN cc-by arXiv (Cornell University) 2020-01-01

Geopolymer with eco-friendly and excellent performance is regarded as a new generation of soil stabilizer. Although geopolymer effective in improving the mechanical durability properties soft soil, mechanism influence organic matter (humic acid fulvic acid) often neglected. Therefore, this work, effects different contents (0%, 0.5%, 1.5%, 2.5%, 3.5%, 4.5%, 5.5%) humic on stabilized (GSSS) were elucidated. The characteristics microstructure study GSSS characterized by UCS test, stress-strain...

10.2139/ssrn.4370481 article EN 2023-01-01
Coming Soon ...