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cs.LG2024★ 1 cited
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
Abdullah Alchihabi, Hao Yan, Yuhong Guo
Class imbalance is pervasive in real-world graph datasets, where the majority of annotated nodes belong to a small set of classes (majority classes), leaving many other classes (mi…
cs.LG2024
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan, Minglong Zhou, Jiayi Guo
Empirical risk minimization, a cornerstone in machine learning, is often hindered by the Optimizer's Curse stemming from discrepancies between the empirical and true data-generatin…
cs.AI2024★ 1 cited
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
Hao Yan, Yuhong Guo
Federated learning aims to tackle the ``isolated data island" problem, where it trains a collective model from physically isolated clients while safeguarding the privacy of users'…