activity
20222024
most citedSocial Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction

35 citations · 64 across the 12 of their papers we have counts for

collaborators

15 papers

cs.OH2025

Vehicle-to-Grid Integration: Ensuring Grid Stability, Strengthening Cybersecurity, and Advancing Energy Market Dynamics

Bilal Ahmad, Jianguo Ding, Tayyab Ali +4

The increasing adoption of electric vehicles has spurred significant interest in Vehicle-to-Grid technology as a transformative approach to modern energy systems. This paper presen…

cs.NI2025

AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space

Amar Khelloufi, Huansheng Ning, Sahraoui Dhelim +1

The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks a…

cs.LG20251 cited

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges

Feifei Shi, Xueyan Yin, Kang Wang +3

Time series analysis is pivotal in domains like financial forecasting and biomedical monitoring, yet traditional methods are constrained by limited nonlinear feature representation…

cs.CL2024

Evaluation of Machine Translation Based on Semantic Dependencies and Keywords

Kewei Yuan, Qiurong Zhao, Yang Xu +2

In view of the fact that most of the existing machine translation evaluation algorithms only consider the lexical and syntactic information, but ignore the deep semantic informatio…

cs.RO202435 cited

Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction

Quancheng Du, Xiao Wang, Shouguo Yin +2

Accurate prediction of agent motion trajectories is crucial for autonomous driving, contributing to the reduction of collision risks in human-vehicle interactions and ensuring ampl…

cs.CL2024

Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model

Zita Lifelo, Huansheng Ning, Sahraoui Dhelim

Timely identification is essential for the efficient handling of mental health illnesses such as depression. However, the current research fails to adequately address the predictio…