Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Renchu Guan

h-index 6 View on Semantic Scholar

We have 3 of 27 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Toward Robust Weakly Supervised Text Classification: Weak Supervision Generation and Correlation-Aware Supervision Propagation.

A novel weakly supervised (WS) learning MLTC framework consisting of a novel category word selection method, namely category word selection with significance ranking and crowd-sourcing (Cws-src), and a generic WS learning MLTC method, namely WS multilabel text classification with correlation-aware label propagation (Wm...

Ximing Li, Yiming Wang, Chenglong Hu et al. · 0 citations
Open access Aug 2026

Weakly-Supervised Learning with Partial Multi-Labels by Leveraging Dual Label Correlation Perspectives

A novel PML method, namely Wasserstein Partial Multi-Label Learning with dual Label Correlation Perspectives (Wpml3cp), solved by the gradient descent with an augmented Lagrange multiplier technique, and empirical results demonstrate that Wpml3cp and Wpml3cp-D can outperform the PML baselines in various noisy levels.

Xi-Ming Li, Yuanchao Dai, Bing Wang et al. · 0 citations
Open access Aug 2026

Generate and Filter: A GNN-Based Approach for Graph Anomaly Detection

A novel framework, Generate and Filter graph learning for Graph Anomaly Detection (GFGAD), which generates a diverse set of synthetic anomalies with enriched feature and structural information to balance the data distribution and significantly outperforms state-of-the-art baselines.

Meng-Yu Li, Yong-Hao Liu, Xi-Ming Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.