马碧阳｜闽南师范大学｜学者主页

2026

FDDP-RN: Frequency-Domain Denoising and Popularity Bias Correction Recommendation Network

Xiaohui Du, Yiwei Deng, Xuelin Wang, Biyang Ma, Huifan Gao

Information

DOI

2026

Contrastive generative learning for enhanced multiagent decision-making under uncertainty

Yinghui Pan, Xinyi Xiang, Yifeng Zeng, Biyang Ma, Guoquan Liu, Yew-Soon Ong

Engineering Applications of Artificial Intelligence

DOI

2026

Generative Methods for Solving Interactive Dynamic Influence Diagrams

Yinghui Pan, Xinyi Xiang, Biyang Ma, Yifeng Zeng, Guoquan Liu

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2026

Legible Trajectory Generation Based on an Improved Genetic Algorithm

Zixiang Tian, Biyang Ma, Meiyan Xu, Yifeng Zeng, Yinghui Pan

DOI

2026

MHA-MASAC: Multi-Head Attention and Safety for Multi-agent Collaborative Path Planning

Dingfeng Zheng, Biyang Ma, Meiyan Xu, Yifeng Zeng, Yinghui Pan

DOI

2026

VIPER: Hierarchical Coordination via Virtual Intent and Predictive Execution in Multi-agent Reinforcement Learning

Xiaohui Du, Biyang Ma, Yanping Xu, Yifeng Zeng, Yinghui Pan

DOI

2025

Improved decisions for unknown behaviours in interactive dynamic influence diagrams

Yinghui Pan, Mengen Zhou, Biyang Ma, Yifeng Zeng, Yew-Soon Ong, Guoquan Liu

Artificial Intelligence Review

DOI

2025

Active legibility in multiagent reinforcement learning

Yanyu Liu, Yinghui Pan, Yifeng Zeng, Biyang Ma, Prashant Doshi

Artificial Intelligence

DOI

2025

PAD-MPFN: Dynamic Fusion with Popularity Decay for News Recommendation

Biyang Ma, Yiwei Deng, Huifan Gao

Electronics

DOI

2024

Online Learning Strategy Induction through Partially Observable Markov Decision Process-Based Cognitive Experience Model

Huifan Gao, Biyang Ma

Electronics

DOI

2024

A Data-Driven Pandemic Simulator with Reinforcement Learning

Yuting Zhang, Biyang Ma, Langcai Cao, Yanyu Liu

Electronics

DOI

2023

Multi-Agent Transfer Reinforcement Learning for Resource Management in Underwater Acoustic Communication Networks

Hui Wang, Hongrun Wu, Yingpin Chen, Biyang Ma

IEEE Transactions on Network Science and Engineering

DOI

2023

Improved Demonstration-Knowledge Utilization in Reinforcement Learning

Yanyu Liu, Yifeng Zeng, Biyang Ma, Yinghui Pan, Huifan Gao, Yuting Zhang

IEEE Transactions on Artificial Intelligence

DOI

2023

Improvement and Evaluation of the Policy Legibility in Reinforcement Learning

Yanyu Liu, Yifeng Zeng, Biyang Ma, Ying-Hui Pan, Huifan Gao, Xiaohan Huang

Adaptive Agents and Multi-Agent Systems

DOI

2023

Symmetric Bayesian Personalized Ranking With Softmax Weight

Yinghui Pan, Ran Qiang, Yifeng Zeng, Biyang Ma, Jing Tang, Langcai Cao

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2022

Tensor decomposition for multi-agent predictive state representation

Biyang Ma, Bilian Chen, Yifeng Zeng, Jing Tang, Langcai Cao

Expert Systems With Applications，Vol. 189

DOI

2022

Modelling other agents through evolutionary behaviours

Yifeng Zeng, Qiang Ran, Biyang Ma, Yinghui Pan

Memetic Computing，Vol. 140, No. 10

DOI

2022

An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents

Yinghui Pan, Biyang Ma, Yifeng Zeng, Jing Tang, Buxin Zeng, Zhong Ming

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2022

Diversifying agent's behaviors in interactive decision models

Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming

International Journal of Intelligent Systems

DOI

2022

Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms

Biyang Ma, Ying-Hui Pan, Yifeng Zeng, Ming Zhong

Adaptive Agents and Multi-Agent Systems

DOI

2022

LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems

Ying-Hui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qian-Wen Li, Biyang Ma, Yisheng Ji, Ming Zhong

Adaptive Agents and Multi-Agent Systems

DOI

2022

Behavioral model summarisation for other agents under uncertainty

Ying-Hui Pan, Biyang Ma, Jing Tang, Yifeng Zeng

Information Sciences

DOI

2021

ATPT: Automate Typhoon Contingency Plan Generation from Text

Yifeng Zeng, Zhangrui Yao, Ying-Hui Pan, Wan-Qing Chen, Jun-Xin Zhou, Junhan Chen, Biyang Ma, Ming-Quan Zhong

Adaptive Agents and Multi-Agent Systems

DOI

2021

Toward data-driven solutions to interactive dynamic influence diagrams

Ying-Hui Pan, Jing Tang, Biyang Ma, Yifeng Zeng, Ming Zhong

Knowledge and Information Systems

DOI

2021

Tensor optimization with group lasso for multi-agent predictive state representation

Biyang Ma, Jing Tang, Bilian Chen, Ying-Hui Pan, Yifeng Zeng

Knowledge-Based Systems

DOI

2019

多智能体预测状态表示模型研究

马碧阳

《厦门大学》

2018

Design and Implementation of Writing Recommendation System Based on Hybrid Recommendation

Langcai Cao, Biyang Ma, Ya Zhou, Bilian Chen

IEEE Access

DOI

2017

Group sparse optimization for learning predictive state representations

Yifeng Zeng, Biyang Ma, Bilian Chen, Jing Tang, Meng-Da He

Information Sciences

DOI

2017

Design and implementation of scenic spot recommendation system based on Unity3D

Langcai Cao, Biyang Ma, Pei-Qiang Zeng, Bilian Chen, Ying-Hui Pan

International Conference on Intelligent Systems and Knowledge Engineering

DOI

2014

Diversifying the Storytelling Using Bayesian Networks

Wen-Yun Wu, Biyang Ma, Shaoxin Zhang, Yifeng Zeng, Hua Mao

Agents and Data Mining Interaction

DOI

马碧阳

精选作品

期刊论文

FDDP-RN: Frequency-Domain Denoising and Popularity Bias Correction Recommendation Network

Contrastive generative learning for enhanced multiagent decision-making under uncertainty

Generative Methods for Solving Interactive Dynamic Influence Diagrams

Legible Trajectory Generation Based on an Improved Genetic Algorithm

MHA-MASAC: Multi-Head Attention and Safety for Multi-agent Collaborative Path Planning

VIPER: Hierarchical Coordination via Virtual Intent and Predictive Execution in Multi-agent Reinforcement Learning

Improved decisions for unknown behaviours in interactive dynamic influence diagrams

Active legibility in multiagent reinforcement learning

PAD-MPFN: Dynamic Fusion with Popularity Decay for News Recommendation

Online Learning Strategy Induction through Partially Observable Markov Decision Process-Based Cognitive Experience Model

A Data-Driven Pandemic Simulator with Reinforcement Learning

Multi-Agent Transfer Reinforcement Learning for Resource Management in Underwater Acoustic Communication Networks

Improved Demonstration-Knowledge Utilization in Reinforcement Learning

Improvement and Evaluation of the Policy Legibility in Reinforcement Learning

Symmetric Bayesian Personalized Ranking With Softmax Weight

Tensor decomposition for multi-agent predictive state representation

Modelling other agents through evolutionary behaviours

An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents

Diversifying agent's behaviors in interactive decision models

Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms

LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems

Behavioral model summarisation for other agents under uncertainty

ATPT: Automate Typhoon Contingency Plan Generation from Text

Toward data-driven solutions to interactive dynamic influence diagrams

Tensor optimization with group lasso for multi-agent predictive state representation

多智能体预测状态表示模型研究

Design and Implementation of Writing Recommendation System Based on Hybrid Recommendation

Group sparse optimization for learning predictive state representations

Design and implementation of scenic spot recommendation system based on Unity3D

Diversifying the Storytelling Using Bayesian Networks

会议论文

Trip Recommendation Algorithm Based on Attraction Tags

预印本

Model-based Individual Learning for Competitive Agents

Exploiting Behavior Sequences for Multi-Agent Interactive Decision Making Through Variational Autoencoder

Variational Auto-encoder Based Solutions to Interactive Dynamic Influence Diagrams

研究方向