Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos

1 code implementation • 18 Mar 2023 • Tao Shu, Xinke Wang, Ruotong Wang, Chuang Chen, Yixin Zhang, Xiao Sun

The continuous improvement of human-computer interaction technology makes it possible to compute emotions.

Sentiment Analysis

Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning

no code implementations • 27 Feb 2023 • Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Khoa T. Phan, Eryk Dutkiewicz, Dusit Niyato, Tao Shu

This work proposes a novel framework to dynamically and effectively manage and allocate different types of resources for Metaverse applications, which are forecasted to demand massive resources of various types that have never been seen before.

reinforcement-learning Reinforcement Learning (RL)

Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment

no code implementations • 25 Jul 2022 • Tian Liu, Xueyang Hu, Tao Shu

Single-shot backdoor attack achieves high accuracy on both the main task and backdoor sub-task when injected at the FL model convergence.

Backdoor Attack Federated Learning +1

Adversarial FDI Attack against AC State Estimation with ANN

no code implementations • 26 Jun 2019 • Tian Liu, Tao Shu

Artificial neural network (ANN) provides superior accuracy for nonlinear alternating current (AC) state estimation (SE) in smart grid over traditional methods.