1 code implementation • 25 Mar 2024 • Dongwei Gan, Ming Chang, Juan Chen
Our encoder uses capsule blocks and EfficientViT blocks to jointly capture local and global semantic information more effectively and efficiently with less information loss, while the decoder employs CNN blocks and EfficientViT blocks to catch ffner details for segmentation.
no code implementations • 18 Feb 2024 • Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu
Spatiotemporal data analysis is pivotal across various domains, such as transportation, meteorology, and healthcare.
no code implementations • 3 Jul 2023 • Xingyu Liu, Juan Chen, Quan Wen
Traditional convolutional neural networks are limited to handling Euclidean space data, overlooking the vast realm of real-life scenarios represented as graph data, including transportation networks, social networks, and reference networks.
1 code implementation • Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023 • Sibo Qi, Juan Chen, Peng Chen, Peian Wen, Wenyu Shan, Ling Xiong
This paper studies an effective unsupervised deep learning model for multivariate time series anomaly detection.
no code implementations • 20 Oct 2022 • Bolong Zhang, Juan Chen, Quan Wen
In recent years, deep learning has been applied in the field of image super-resolution reconstruction.
no code implementations • 29 Sep 2021 • Jing Xie, Xiang Yin, Xiyi Zhang, Juan Chen, Quan Wen, Qiang Yang, Xuan Mo
In SPFL, the server uses the Softmax Normalized Gradient Similarity (SNGS) to weight the relationship between clients, and sends the personalized global model to each client.
no code implementations • 18 Aug 2020 • Zhiwen Xiao, Xin Xu, Huanlai Xing, Juan Chen
The temporal feature networks are built to extract basic features from input data while the attentional LSTM networks are devised to capture complicated shapelets and relationships to enrich features.
no code implementations • 21 Apr 2020 • Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal
Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem.