6 citations · 9 across the 18 of their papers we have counts for
6 papers · 1 filter
Geometric Calibration of Supervised Fine-Tuning
Jianzhu Bao, Jia-Chen Gu, Qingyuan Liu +4
Recent studies investigate the weight geometry through its spectral structure, which characterizes how the weights transform different input directions. Within this view, supervise…
FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data
Tao Feng, Haozhen Zhang, Zijie Lei +5
The rapid advancement of large language models (LLMs) has created a diverse landscape of models, each excelling at different tasks. This diversity drives researchers to employ mult…
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
Haozhen Zhang, Xi Xiao, Le Yu +3
As network security receives widespread attention, encrypted traffic classification has become the current research focus. However, existing methods conduct traffic classification…
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Haozhen Zhang, Le Yu, Xi Xiao +4
Encrypted traffic classification is receiving widespread attention from researchers and industrial companies. However, the existing methods only extract flow-level features, failin…
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Haozhen Zhang, Xueting Han, Xi Xiao +1
Temporal Graph Learning, which aims to model the time-evolving nature of graphs, has gained increasing attention and achieved remarkable performance recently. However, in reality,…
SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
Haozhen Zhang, Wei Zhao, Shuang Liu
The classification of electrocardiogram (ECG) signals, which takes much time and suffers from a high rate of misjudgment, is recognized as an extremely challenging task for cardiol…