5 papers
Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies
Mingming Zhang, Na Li, Zhuang Feiqing +8
With the rapid development of e-commerce, auto-bidding has become a key asset in optimizing advertising performance under diverse advertiser environments. The current approaches fo…
Few-Shot Medical Image Segmentation with Large Kernel Attention
Xiaoxiao Wu, Xiaowei Chen, Zhenguo Gao +2
Medical image segmentation has witnessed significant advancements with the emergence of deep learning. However, the reliance of most neural network models on a substantial amount o…
Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network
Shulei Qu, Zhenguo Gao, Xiaowei Chen +3
In driving scenarios, automobile active safety systems are increasingly incorporating deep learning technology. These systems typically need to handle multiple tasks simultaneously…
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
Xiaoxiao Wu, Zhenguo Gao, Xiaowei Chen +3
In recent years, deep learning based on Convolutional Neural Networks (CNNs) has achieved remarkable success in many applications. However, their heavy reliance on extensive labele…
Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach
Simiao Jiao, Zihui Xue, Xiaowei Chen +1
Graphlets are induced subgraph patterns that are crucial to the understanding of the structure and function of a large network. A lot of efforts have been devoted to calculating gr…