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

Yan Zeng

h-index 3 View on Semantic Scholar

We have 3 of 12 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.

Preprint Sep 2026

HGSQ: Heatmap-Guided Sparse Query Detector for Real-Time Aerial Small Object Detection

This paper proposes HGSQ, a Heatmap-Guided Sparse Query Detector for real-time aerial small object detection, which uses a lightweight Heatmap Budget Predictor to predict a foreground budget map in a single forward pass and treats the heatmap as a real-time computation budget rather than a visualization map during depl...

Yan Zeng · 0 citations
Book Open access May 2025

PrePrompt: Predictive Prompting for Class Incremental Learning

P predictive Prompting (PrePrompt) is proposed, a novel CIL framework that circumvents correlation-based limitations by leveraging the inherent classification ability of pre-trained models to predict task-specific prompts and decomposes CIL into a two-stage prediction process: task-specific prompt prediction followed b...

Li-Bo Huang, Xiang-Qi Li, Jia-Rui Zhao et al. · 4 citations
Book Open access Aug 2026

PrePrompt: Predictive Prompting for Class Incremental Learning

Prompt-based learning has emerged as a promising paradigm for Class Incremental Learning (CIL), enabling pre-trained models to adapt efficiently to open-world scenarios. Existing methods often employ correlation-based strategies, where an image's feature serves as a query to retrieve the most relevant key prompts, with...

Libo Huang, Xiangqi Li, Jiarui Zhao 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.