PGN: A perturbation generation network against deep reinforcement learning

no code implementations • 20 Dec 2023 • Xiangjuan Li, Feifan Li, Yang Li, Quan Pan

Deep reinforcement learning has advanced greatly and applied in many areas.

reinforcement-learning Specificity

ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture

no code implementations • 19 Nov 2022 • Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Ward Church, Mohamed Elhoseiny

This paper introduces ArtELingo, a new benchmark and dataset, designed to encourage work on diversity across languages and cultures.

Cultural Vocal Bursts Intensity Prediction

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms

no code implementations • 22 Oct 2022 • Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li

Furthermore, based on the dynamic user intent representations, we propose a meta predictor to perform differentiated user engagement forecasting.

NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction

no code implementations • 4 Jul 2022 • Xueyan Yin, Feifan Li, Yanming Shen, Heng Qi, BaoCai Yin

First, a spatial-temporal graph neural network is proposed, which can capture the node-specific spatial-temporal traffic patterns of different road networks.

Traffic Prediction Transfer Learning