171 citations · 171 across the 6 of their papers we have counts for
6 papers
STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework
Wenhao Liu, Zhenyi Lu, Xinyu Hu +13
High-quality math datasets are crucial for advancing the reasoning abilities of large language models (LLMs). However, existing datasets often suffer from three key issues: outdate…
6Diffusion: IPv6 Target Generation Using a Diffusion Model with Global-Local Attention Mechanisms for Internet-wide IPv6 Scanning
Nabo He, DanDan Li, Xiaohong Huang
Due to the vast address space of IPv6, the brute-force scanning methods originally applicable to IPv4 are no longer suitable for proactive scanning of IPv6. The recently proposed t…
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
Ying Zhuansun, Dandan Li, Xiaohong Huang +1
Federated learning can train models without directly providing local data to the server. However, the frequent updating of the local model brings the problem of large communication…
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng, Xiaohong Huang, Dandan Li +1
With the increasingly strengthened data privacy act and the difficult data centralization, Federated Learning (FL) has become an effective solution to collaboratively train the mod…
Federated Route Leak Detection in Inter-domain Routing with Privacy Guarantee
Man Zeng, Dandan Li, Pei Zhang +2
In the inter-domain network, a route leak occurs when a routing announcement is propagated outside of its intended scope, which is a violation of the agreed routing policy. The rou…
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang, Zhifang Deng, Dandan Li +1
The CNN-based methods have achieved impressive results in medical image segmentation, but they failed to capture the long-range dependencies due to the inherent locality of the con…