Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Xiao-Kang Wang

h-index 2 View on Semantic Scholar

We have 2 of 11 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.

Book Open access Aug 2026

Causal-DFM: Diffusion-Based Causal-Invariant Dynamic Factor Model for Stock Return Prediction

The Causal-Invariant Dynamic Factor Model (Causal-DFM), a causality-inspired factor-based framework that encourages compact and stable return-relevant representations while suppressing environment-dependent variations, thereby improving robustness under distribution shift is proposed.

Zihao Yin, Yi-Han He, Xinghan Qin et al. · 0 citations
Aug 2026

SIAGXC: a prediction-augmented graph model on extreme multi-label classification

SIAGXC, a prediction-augmented graph framework for XMLC that leverages auxiliary relational signals derived from an upstream XMLC model, demonstrates that prediction-derived auxiliary relations provide an effective way to enhance graph-based XMLC.

Zihao Yin, Zhihai Wang, Xiao-Kang Wang 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.