8 citations · 9 across the 6 of their papers we have counts for
8 papers
Learning to Design Convex Relaxations for Nonconvex Optimization
Jinrun Liu, Bai Yan, Tengfei Liu +5
Convex relaxations make nonconvex optimization tractable by replacing hard nonconvex problems with convex surrogates that give valid bounds. Yet their design is still largely manua…
On some nonlinear extensions to Maxwell's electrodynamics
Bertrand Berche, Ernesto Medina
Soon after Maxwell's celebrated synthesis of electrodynamics, the discovery of the electron raised fundamental questions about the nature and structure of elementary particles. The…
Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
Chang Shao, Qi Zhao, Nana Pu +3
The field of Dynamic Multi-Objective Optimization (DMOO) has witnessed a surge of interest from both academia and industry, as numerous time-evolving real-world applications can be…
Influence Maximization Considering Influence, Cost and Time
Mingyang Feng, Qi Zhao, Shan He +1
Influence maximization has been studied for social network analysis, such as viral marketing (advertising), rumor prevention, and opinion leader identification. However, most studi…
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Qi Zhao, Tengfei Liu, Bai Yan +3
Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods desi…
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
Qiqi Duan, Chang Shao, Guochen Zhou +3
In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO). Here we propose to p…
QwenGrasp: A Usage of Large Vision-Language Model for Target-Oriented Grasping
Xinyu Chen, Jian Yang, Zonghan He +3
Target-oriented grasping in unstructured scenes with language control is essential for intelligent robot arm grasping. The ability for the robot arm to understand the human languag…
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are prominent gradient-free optimizers for solving hard problems that do not meet the rigorous mathematical assumptions of analytical solvers. The canonical manual o…