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

Yanglei Gan

View on Semantic Scholar

4 papers indexed here

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.

Open access Oct 2026

DyHist: Query-Aware Historical Dynamics Modeling for Temporal Knowledge Graph Extrapolation

DyHist is proposed, a query-aware historical dynamics modeling framework for TKG extrapolation that captures local dynamics by separating recent evidence from medium-range contexts and explicitly modeling their query-relevant deviations as predictive features.

Pei-Yuan Jiang, Yao Liu, Yu-Bo Wen et al. · 0 citations
Open access Sep 2026

ScoreRec: Reallocating Probability Mass in Sequential Recommendation via Score-based Diffusion Modeling

This work introduces ScoreRec, a novel sequential recommendation framework that reformulates the recommendation task as a continuous-time score-based generative process that leverages a stochastic differential equation with a continuous-time noise schedule to mitigate the mode-seeking bias.

Peng He, Yao Liu, Tong Luo et al. · 0 citations
Preprint Aug 2026

Denoising the Future: Context-Aware Spectral Diffusion for Temporal Knowledge Graph Extrapolation

Temporal Knowledge Graph (TKG) extrapolation seeks to infer future facts from time-varying relational histories. Recent diffusion-based approaches improve uncertainty modeling through generative denoising, but their aggregated conditioning on subject histories may insufficiently distinguish query-specific evidence from...

Yang-Lei Gan, Peng He, Run Lin et al. · 0 citations
#artificial intelligence May 2026

DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis

DiffuSent is presented, a non-auto-regressive diffusion framework that systematically formulates all ABSA subtasks as boundary denoising diffusion processes, progressively refining boundaries over noisy states, and introduces a contrastive denoising training strategy which effectively address duplicate predictions with...

S. Long, Yanglei Gan, Xuchuan Zhou · 0 citations

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