EDBT 2026 Demo / reviewers in the wild / expert
Guirong Weng
dblp:14/4099
· DBLP profile ↗
23ranked-venue papers
3as first author
16since 2021 · last 2026
0000-0002-8519-7492ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 12 · 3 first-author · 9 since 2021Graphics, computer vision, multimedia, augmented reality and games · 10 · 7 since 2021Security and privacy · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | An optimized additive bias field correction model for infrared image segmentation with intensity non-uniformity
Pengqiang Ge, Minjie Wan, Weixian Qian, Xiaofang Kong, Guirong Weng, Guohua Gu, Qian Chen 0002 |
Expert Syst. Appl. | 5 |
| 2026 | An active contour model based on Kullback-Leibler divergence and morphology for image segmentation with edge leakage
Zhen Li 0060, Guina Wang, Guirong Weng, Yiyang Chen 0001 |
Signal Process. | 4 |
| 2026 | Enhanced active contour model with adaptive thresholds and noise reduction for robust image segmentation
Guina Wang, Xirui Feng, Guirong Weng, Yiyang Chen 0001 |
Vis. Comput. | 3 |
| 2025 | A hybrid active contour model using local region-based K-medoids for infrared image segmentation
Pengqiang Ge, Minjie Wan, Yunkai Xu, Xiaofang Kong, Yixuan Kang, Guirong Weng, Guohua Gu, Qian Chen 0002 |
Expert Syst. Appl. | 6 |
| 2025 | Active contour model based on pre- additive bias field fitting image
Guirong Weng |
Signal Process. Image Commun. | 2 |
| 2025 | Anisotropic edge-enhanced active contour model with Gaussian difference for robust multi-category image segmentation
Xiaoyu Bi, Guina Wang, Guirong Weng, Yiyang Chen 0001 |
Vis. Comput. | 4 |
| 2024 | An active contour model based on shadow image and reflection edge for image segmentation
Bin Dong 0005, Guirong Weng, Qianqian Bu, Zicong Zhu, Jingen Ni |
Expert Syst. Appl. | 2 |
| 2024 | An active contour model based on Jeffreys divergence and clustering technology for image segmentation
Pengqiang Ge, Yiyang Chen 0001, Guina Wang, Guirong Weng |
J. Vis. Commun. Image Represent. | 4 |
| 2024 | An optimized denoised bias correction model with local pre-fitting function for weak boundary image segmentation
Guina Wang, Zhen Li 0060, Guirong Weng, Yiyang Chen 0001 |
Signal Process. | 3 |
| 2023 | Active contour model based on local Kullback-Leibler divergence for fast image segmentation
Chengxin Yang, Guirong Weng, Yiyang Chen 0001 |
Eng. Appl. Artif. Intell. | 2 |
| 2022 | An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation
Pengqiang Ge, Yiyang Chen 0001, Guina Wang, Guirong Weng |
Expert Syst. Appl. | 4 |
| 2022 | A hybrid active contour model based on pre-fitting energy and adaptive functions for fast image segmentation
Pengqiang Ge, Yiyang Chen 0001, Guina Wang, Guirong Weng |
Pattern Recognit. Lett. | 4 |
| 2021 | A new active contour model driven by pre-fitting bias field estimation and clustering technique for image segmentation
Guirong Weng, Bin Dong 0005 |
Eng. Appl. Artif. Intell. | 1 |
| 2021 | Active contour model driven by Self Organizing Maps for image segmentation
Bin Dong 0005, Guirong Weng, Ri Jin |
Expert Syst. Appl. | 2 |
| 2021 | A level set method based on additive bias correction for image segmentation
Guirong Weng, Bin Dong 0005, Yu Lei 0007 |
Expert Syst. Appl. | 1 |
| 2021 | A robust hybrid active contour model based on pre-fitting bias field correction for fast image segmentation
Yu Lei 0007, Guirong Weng |
Signal Process. Image Commun. | 2 |
| 2020 | Robust active contours driven by order-statistic filtering energy for fast image segmentation
Guirong Weng |
Knowl. Based Syst. | 1 |
| 2019 | A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation
Ri Jin, Guirong Weng |
Neurocomputing | 2 |
| 2019 | Active contours driven by adaptive functions and fuzzy c-means energy for fast image segmentation
Ri Jin, Guirong Weng |
Signal Process. | 2 |
| 2019 | Active contour model based on local bias field estimation for image segmentation
Bin Dong 0005, Ri Jin, Guirong Weng |
Signal Process. Image Commun. | 3 |
| 2018 | Active contours driven by local pre-fitting energy for fast image segmentation
Keyan Ding, Linfang Xiao, Guirong Weng |
Pattern Recognit. Lett. | 3 |
| 2017 | Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation
Keyan Ding, Linfang Xiao, Guirong Weng |
Signal Process. | 3 |
| 2009 | Microarray Image Segmentation Using Region Growing Algorithm and Mathematical MorphologyabstractImage processing is an important aspect of microarray experiments. Spots segmentation meaning to distinguish the spot signals from background pixels, is a critical step in microarray image processing. After analyzing other existing means of microarray segmentation, a new method based on region growing algorithm, mathematical morphology (MM) filtering and morphological processing is presented. And its corresponding theory and realizable steps are introduced in this paper. The simulations show that the region growing algorithm method for spot image segmentation has better performance than the most commonly used segmentation methods including the ScanAlizeTM method and GenePixTM method. The Experimental results are computationally attractive, have excellent performance and can preserve structural information while efficiently suppressing noise in cDNA microarray data. Guirong Weng |
IAS | 2 |