Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning

no code implementations • 12 Feb 2024 • Ziquan Wei, Tingting Dan, Guorong Wu

Graph learning is crucial in the fields of bioinformatics, social networks, and chemicals.

Graph Classification Graph Learning +1

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

1 code implementation • 29 May 2022 • Ziquan Wei, Shenghua Cheng, Jing Cai, Shaoqun Zeng, Xiuli Liu, Zehua Wang

Cervical glandular cell (GC) detection is a key step in computer-aided diagnosis for cervical adenocarcinomas screening.

Cell Detection object-detection +1

Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion

1 code implementation • 2 Jul 2021 • Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan

We propose an audio-visual spatial-temporal deep neural network with: (1) a visual block containing a pretrained 2D-CNN followed by a temporal convolutional network (TCN); (2) an aural block containing several parallel TCNs; and (3) a leader-follower attentive fusion block combining the audio-visual information.

Emotion Recognition

An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features

1 code implementation • 29 Jun 2021 • Ziquan Wei, Shenghua Cheng, Junbo Hu, Li Chen, Shaoqun Zeng, Xiuli Liu

Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and automated WSI analysis is key for computer-aided diagnosis.