5 papers
Mean Masked Autoencoder with Flow-Mixing for Encrypted Traffic Classification
Xiao Liu, Xiaowei Fu, Fuxiang Huang +1
Network traffic classification using self-supervised pre-training models based on Masked Autoencoders (MAE) has demonstrated a huge potential. However, existing methods are confine…
TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
Qing He, Xiaowei Fu, Lei Zhang
Encrypted traffic classification is a critical task for network security. While deep learning has advanced this field, the occlusion of payload semantics by encryption severely cha…
Rethinking Structure Preservation in Text-Guided Image Editing with Visual Autoregressive Models
Tao Xia, Jiawei Liu, Yukun Zhang +3
Visual autoregressive (VAR) models have recently emerged as a promising family of generative models, enabling a wide range of downstream vision tasks such as text-guided image edit…
Dogfight Search: A Swarm-Based Optimization Algorithm for Complex Engineering Optimization and Mountainous Terrain Path Planning
Yujing Sun, Jie Cai, Xingguo Xu +4
Dogfight is a tactical behavior of cooperation between fighters. Inspired by this, this paper proposes a novel metaphor-free metaheuristic algorithm called Dogfight Search (DoS). U…
SpatialPoint: Spatial-aware Point Prediction for Embodied Localization
Qiming Zhu, Zhirui Fang, Tianming Zhang +3
Embodied intelligence fundamentally requires a capability to determine where to act in 3D space. We formalize this requirement as embodied localization -- the problem of predicting…