Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition

1 code implementation • 24 Apr 2024 • Shu Liu, Yan Xu, Tongming Wan, Xiaoyan Kui

One auxiliary branch is constructed to obtain the label distributions of samples.

Facial Expression Recognition Facial Expression Recognition (FER)

ChebMixer: Efficient Graph Representation Learning with MLP Mixer

no code implementations • 25 Mar 2024 • Xiaoyan Kui, Haonan Yan, Qinsong Li, Liming Chen, Beiji Zou

In this paper, we present a novel architecture named ChebMixer, a newly graph MLP Mixer that uses fast Chebyshev polynomials-based spectral filtering to extract a sequence of tokens.

Graph Mining Graph Representation Learning +4

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

no code implementations • 8 Oct 2023 • Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.

Decision Making Language Modelling +1

A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition

1 code implementation • ICASSP 2023 • Shu Liu, Yan Xu, Tongming Wan, Xiaoyan Kui

One auxiliary branch is constructed to obtain the label distributions of samples.

Facial Expression Recognition (FER)

Lightweight Facial Attractiveness Prediction Using Dual Label Distribution

1 code implementation • 4 Dec 2022 • Shu Liu, Enquan Huang, Ziyu Zhou, Yan Xu, Xiaoyan Kui, Tao Lei, Hongying Meng

The data processing is simplified to a minimum for a lightweight design, and MobileNetV2 is selected as our backbone.