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

Zhipeng Cai

h-index 11 View on Semantic Scholar

We have 3 of 56 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.

Aug 2026

Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights From Low-Resolution Data

Camouflaged object detection (COD) relies on multi-granularity structural information and fine-grained details to distinguish objects from highly similar backgrounds. Whereas low-resolution data lacks high-frequency cues such as textures and sharp edges, retaining only coarse structures. These not only weaken discrimin...

Ju-Wei Guan, Xiao-Lin Fang, Jiaxiang Liu et al. · 1 citation
2026

Approximation Algorithm for Minimum Weight (2,m)-Connected Dominating Set

Using a connected dominating set (CDS) as a virtual backbone of a wireless sensor network can effectively save energy, reduce interference, and extend network lifespan, which also has wide applications in geometric routing algorithms and network topology control. A fault-tolerant virtual backbone can be modeled as a <i...

Jiao Zhou, Zhi-Peng Cai, Xiaohui Huang et al. · 0 citations
Open access Jul 2026

Graph Attributed Unlearning via Propagation Suppression and Knowledge Dissipation

A graph unlearning framework specifically designed for feature-level unlearning, consisting of two main stages, which zero out the features of the unlearned nodes at each layer to block their propagation through the GNN, thereby reducing their influence on neighboring node representations.

Zhiyu Chen, Jiaquan Liang, Qi Luo 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.