6 citations · 7 across the 6 of their papers we have counts for
6 papers
LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization
Juntao Wei, Yangming Zhou, Zhibin Jiang +1
Heuristic design for combinatorial optimization remains heavily reliant on expert knowledge, while existing large language model (LLM)-enhanced evolutionary methods typically evolv…
Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling
Junhua Xue, Yuning Chen, Mingyan Shao +3
The Uncertain Agile Earth Observation Satellite Scheduling Problem (UAEOSSP) is a novel combinatorial optimization problem and a practical engineering challenge that aligns with th…
Multimodal Fake News Detection via CLIP-Guided Learning
Yangming Zhou, Qichao Ying, Zhenxing Qian +2
Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…
Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks
Yangming Zhou, Xiaze Zhang, Na Geng +2
Finding an optimal set of critical nodes in a complex network has been a long-standing problem in the fields of both artificial intelligence and operations research. Potential appl…
Heuristic Search for Rank Aggregation with Application to Label Ranking
Yangming Zhou, Jin-Kao Hao, Zhen Li +1
Rank aggregation aims to combine the preference rankings of a number of alternatives from different voters into a single consensus ranking. As a useful model for a variety of pract…
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness
Xuwei Tan, Yangming Zhou, MengChu Zhou +1
Detecting critical nodes in sparse graphs is important in a variety of application domains, such as network vulnerability assessment, epidemic control, and drug design. The critica…