20 citations · 20 across the 5 of their papers we have counts for
6 papers
Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence
Jiaqi Wang, Huawen Hu, Shu Zhang
With the rapid advancement of large language models, brain-language decoding has achieved remarkable progress. However, it remains unclear whether decoded content genuinely reflect…
Structured Diversity Control: A Dual-Level Framework for Group-Aware Multi-Agent Coordination
Shuocun Yang, Huawen Hu, Xuan Liu +3
Controlling the behavioral diversity is a pivotal challenge in multi-agent reinforcement learning (MARL), particularly in complex collaborative scenarios. While existing methods at…
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
Enze Shi, Kui Zhao, Qilong Yuan +4
Electroencephalography (EEG) is a vital tool to measure and record brain activity in neuroscience and clinical applications, yet its potential is constrained by signal heterogeneit…
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning
Huawen Hu, Enze Shi, Chenxi Yue +7
Human-in-the-loop reinforcement learning integrates human expertise to accelerate agent learning and provide critical guidance and feedback in complex fields. However, many existin…
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
Yanqing Kang, Di Zhu, Haiyang Zhang +9
Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes. Ho…
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives
Jiaqi Wang, Zihao Wu, Yiwei Li +17
Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs h…