2 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
Yu-Nian Wang, Shen-Huan Lyu, Ning Chen +3
With the rapid advancement of large language models (LLMs), LLM-based heuristic search methods have demonstrated strong capabilities in automated algorithm generation. However, the…
Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients
Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen +4
Local class imbalance and data heterogeneity across clients often trap prototype-based federated contrastive learning in a prototype bias loop: biased local prototypes induced by i…
Enhance and Reuse: A Dual-Mechanism Approach to Boost Deep Forest for Label Distribution Learning
Jia-Le Xu, Shen-Huan Lyu, Yu-Nian Wang +4
Label distribution learning (LDL) requires the learner to predict the degree of correlation between each sample and each label. To achieve this, a crucial task during learning is t…