37 citations · 89 across the 15 of their papers we have counts for
15 papers
Multi-Agent Coordination across Diverse Applications: A Survey
Lijun Sun, Yijun Yang, Qiqi Duan +5
Multi-agent coordination studies the underlying mechanism enabling the trending spread of diverse multi-agent systems (MAS) and has received increasing attention, driven by the exp…
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification
Yingtao Ren, Yu-Cheng Chang, Thomas Do +2
Fuzzy Neural Networks (FNNs) are effective machine learning models for classification tasks, commonly based on the Takagi-Sugeno-Kang (TSK) fuzzy system. However, when faced with h…
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
Xiaowei Jiang, Beining Cao, Liang Ou +3
The rapid evolution of Brain-Computer Interfaces (BCIs) has significantly influenced the domain of human-computer interaction, with Steady-State Visual Evoked Potentials (SSVEP) em…
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
Xiaowei Jiang, Liang Ou, Yanan Chen +4
The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach to enhance the interpretability and efficacy of neural models in psyc…
Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data
Yiqun Duan, Zhuoli Zhuang, Jinzhao Zhou +3
This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current…
Masked EEG Modeling for Driving Intention Prediction
Jinzhao Zhou, Justin Sia, Yiqun Duan +3
Driving under drowsy conditions significantly escalates the risk of vehicular accidents. Although recent efforts have focused on using electroencephalography to detect drowsiness,…
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
Jinzhao Zhou, Yiqun Duan, Ziyi Zhao +4
Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of wo…
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang +2
This paper presents BELT, a novel model and learning framework for the pivotal topic of brain-to-language translation research. The translation from noninvasive brain signals into…
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun, Yu-Cheng Chang, Chao Lyu +2
Multi-agent reinforcement learning (MARL) achieves encouraging performance in solving complex tasks. However, the safety of MARL policies is one critical concern that impedes their…
Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics
Yiqun Duan, Jinzhao Zhou, Zhen Wang +3
The differences in brain dynamics across human subjects, commonly referred to as human artifacts, have long been a challenge in the field, severely limiting the generalizability of…
Generalizing Multimodal Variational Methods to Sets
Jinzhao Zhou, Yiqun Duan, Zhihong Chen +2
Making sense of multiple modalities can yield a more comprehensive description of real-world phenomena. However, learning the co-representation of diverse modalities is still a lon…
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Leijie Zhang, Ye Shi, Yu-Cheng Chang +1
Distributed fuzzy neural networks (DFNNs) have attracted increasing attention recently due to their learning abilities in handling data uncertainties in distributed scenarios. Howe…
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data
Leijie Zhang, Ye Shi, Yu-Cheng Chang +1
Heterogeneous big data poses many challenges in machine learning. Its enormous scale, high dimensionality, and inherent uncertainty make almost every aspect of machine learning dif…
Toward multi-target self-organizing pursuit in a partially observable Markov game
Lijun Sun, Yu-Cheng Chang, Chao Lyu +3
The multiple-target self-organizing pursuit (SOP) problem has wide applications and has been considered a challenging self-organization game for distributed systems, in which intel…
Tensor Decomposition for EEG Signal Retrieval
Zehong Cao, Mukesh Prasad, M. Tanveer +1
Prior studies have proposed methods to recover multi-channel electroencephalography (EEG) signal ensembles from their partially sampled entries. These methods depend on spatial sce…