28 citations · 58 across the 6 of their papers we have counts for
6 papers
GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models
Jing Hao, Moyun Liu, Jinrong Yang +1
Detecting glass regions is a challenging task due to the inherent ambiguity in their transparency and reflective characteristics. Current solutions in this field remain rooted in c…
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection
Chen Sun, Liang Gao, Xinyu Li +1
Surface defect detection is one of the most essential processes for industrial quality inspection. Deep learning-based surface defect detection methods have shown great potential.…
A new neighborhood structure for job shop scheduling problems
Jin Xie, Xinyu Li, Liang Gao +1
Job shop scheduling problem (JSP) is a widely studied NP-complete combinatorial optimization problem. Neighborhood structures play a critical role in solving JSP. At present, there…
Differential Evolution with Better and Nearest Option for Function Optimization
Haozhen Dong, Liang Gao, Xinyu Li +2
Differential evolution(DE) is a conventional algorithm with fast convergence speed. However, DE may be trapped in local optimal solution easily. Many researchers devote themselves…
Whale swarm algorithm with the mechanism of identifying and escaping from extreme points for multimodal function optimization
Bing Zeng, Xinyu Li, Liang Gao +2
Most real-world optimization problems often come with multiple global optima or local optima. Therefore, increasing niching metaheuristic algorithms, which devote to finding multip…
Whale swarm algorithm for function optimization
Bing Zeng, Liang Gao, Xinyu Li
Increasing nature-inspired metaheuristic algorithms are applied to solving the real-world optimization problems, as they have some advantages over the classical methods of numerica…