Guangwu Hu

Privacy-preserving collective reinforcement learning using fully homomorphic encryption in usage-based insurance

Xiaoqiang Sun, Zhiwei Sun, Ting Wang, Guangwu Hu et autres

cn (code pays fourni par la source)

TriFusion: A Self-Supervised Learning Enhanced Dual-Level Multimodal Framework for Traffic Classification

Haodong Yue, Haozhen Zhang, Xi Xiao, Le Yu et autres

Network traffic classification is crucial for enhancing service quality and security. Existing unimodal methods struggle to exploit complementary features across modalities. To overcome this, we propose TriFusion, a dual-level multimodal framework with self-supervised learning. TriFusion jointly models intra- and inter-packet dependencies by …

cn (code pays fourni par la source)

Traffic burst relational graph attention network combined position encoding for traffic classification

Xi Xiao, Zeming Wu, Siji Chen, Guangwu Hu et autres

cn (code pays fourni par la source)

A Machine Learning Based Funding Project Evaluation Decision Prediction

Chuqing Zhang, Jiangyuan Yao, Guangwu Hu, Xingcan Cao

Traditional linear statistical methods cannot provide effective prediction results due to the complexity of human mind. In this paper, we apply machine learning to the field of funding allocation decision making, and try to explore whether personal characteristics of evaluators help predict …

cn, ca (code pays fourni par la source)

Applying Feature-Weighted Gradient Decent K-Nearest Neighbor to Select Promising Projects for Scientific Funding

Chuqing Zhang, Jiangyuan Yao, Guangwu Hu, Thomas Schøtt

Due to its outstanding ability in processing large quantity and high-dimensional data, machine learning models have been used in many cases, such as pattern recognition, classification, spam filtering, data mining and forecasting. As an outstanding machine learning algorithm, K-Nearest Neighbor (KNN) has …

cn, dk (code pays fourni par la source)