3 papers
cs.LG2025
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
Jinhui Pang, Changqing Lin, Hao Lin +4
Graph Few-Shot Class-Incremental Learning (GFSCIL) enables models to continually learn from limited samples of novel tasks after initial training on a large base dataset. Existing…
cs.CV2025
DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering
Hanning Yuan, Zhihui Zhang, Qi Guo +4
Multi-view contrastive clustering (MVCC) has gained significant attention for generating consistent clustering structures from multiple views through contrastive learning. However,…
cs.MA2025
A Hierarchical Reinforcement Learning Framework for Multi-UAV Combat Using Leader-Follower Strategy
Jinhui Pang, Jinglin He, Noureldin Mohamed Abdelaal Ahmed Mohamed +3
Multi-UAV air combat is a complex task involving multiple autonomous UAVs, an evolving field in both aerospace and artificial intelligence. This paper aims to enhance adversarial p…