An EEG-Based Emotion Recognition Model with Rhythm and Time Characteristics. - Jianzhuo Yan; Sinuo Deng (BI, 2018)

A EEG-based emotion recognition model with rhythm and time characteristics. - Jianzhuo Yan; Shangbin Chen; Sinuo Deng (Brain Informatics, 2019)

A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index. - Jianzhuo Yan; Yanan Geng; Hongxia Xu; Shaofeng Tan; Dongdong He; Yongchuan Yu; Sinuo Deng; Xiaoxue Du (HIS, 2020)

Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis. - Lifang Wu; Heng Zhang; Ge Shi 002; Sinuo Deng (ACPR (1), 2021)

Emotion Class-Wise Aware Loss for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Heng Zhang; Wenjin Hu 002; Ruihai Dong (CICAI, 2021)

SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification. - Sinuo Deng; Ge Shi 002; Lifang Wu; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (DASFAA (3), 2022)

Boundary-Guided Probability Hashing. - Wenjin Hu 002; Yukun Chen; Lifang Wu; Ge Shi 002; Meng Jian; Sinuo Deng (ICME, 2022)

Learning to Compose Diversified Prompts for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian (CoRR, 2022)

SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis. - Lifang Wu; Lehao Xing; Ge Shi 002; Sinuo Deng; Jie Yang (ICIG (1), 2023)

Simple But Powerful, a Language-Supervised Method for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (IEEE Trans. Affect. Comput., 2023)

One for All: A Unified Generative Framework for Image Emotion Classification. - Ge Shi 002; Sinuo Deng; Bo Wang 134; Chong Feng 001; Yan Zhuang; Xiaomei Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning to compose diversified prompts for image emotion classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian; Ye Xiang; Ruihai Dong (Comput. Vis. Media, 2024)