286 citations · 330 across the 6 of their papers we have counts for
6 papers
UniSA: Unified Generative Framework for Sentiment Analysis
Zaijing Li, Ting-En Lin, Yuchuan Wu +4
Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information. It consists of several subt…
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Yeguang Qin, Yilin Yang, Fengxiao Tang +3
The Space-Air-Ground Integrated Network (SAGIN) plays a pivotal role as a comprehensive foundational network communication infrastructure, presenting opportunities for highly effic…
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
Zaijing Li, Fengxiao Tang, Ming Zhao +1
Emotion recognition in conversation (ERC) aims to analyze the speaker's state and identify their emotion in the conversation. Recent works in ERC focus on context modeling but igno…
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Zaijing Li, Fengxiao Tang, Tieyu Sun +2
For the task of conversation emotion recognition, recent works focus on speaker relationship modeling but ignore the role of utterance's emotional tendency.In this paper, we propos…
AI based Service Management for 6G Green Communications
Bomin Mao, Fengxiao Tang, Kawamoto Yuichi +1
Green communications have always been a target for the information industry to alleviate energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no…
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence
Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang +4
It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to the scarce…