Explanipedia

Analysis and correction of intrinsic measurement errors for the dipole-magnet-based energy analysis system on HuTeX Open

Yan Wang, Hao Hu, Yifeng Zeng, D. C. Lu, Kaifeng Liu , et al. · 2025

Improved decisions for unknown behaviours in interactive dynamic influence diagrams Open

Yinghui Pan, Michelle X. Zhou, Biyang Ma, Yifeng Zeng, Yew-Soon Ong , et al. · 2025

Rheological properties of deep-sea shallow sediments in the Western Pacific mining area Open

Hao Liu, Zongxiang Xiu, Lejun Liu, Jie Dong, Qiuhong Xie , et al. · 2025

Studying the rheological properties of deep-sea shallow sediments can provide basic mechanical characteristics for designing deep-sea mining vehicles driving on the soft seabed, providing anchoring stability of semi-submersible mining plat…

Active legibility in multiagent reinforcement learning Open

Yanyu Liu, Yinghui Pan, Yifeng Zeng, Biyang Ma, Doshi Prashant · 2025

Variational Auto-encoder Based Solutions to Interactive Dynamic Influence Diagrams Open

Yinghui Pan, Biyang Ma, Hanyi Zhang, Yifeng Zeng · 2024

Addressing multiagent decision problems in AI, especially those involving collaborative or competitive agents acting concurrently in a partially observable and stochastic environment, remains a formidable challenge. While Interactive Dynam…

Causal-Driven Skill Prerequisite Structure Discovery Open

Shenbao Yu, Yifeng Zeng, Fan Yang, Yinghui Pan · 2024

Knowing a prerequisite structure among skills in a subject domain effectively enables several educational applications, including intelligent tutoring systems and curriculum planning. Traditionally, educators or domain experts use intuitio…

Rheological Properties of Deep-Sea Shallow Sediments in the Western Pacific Mining Area Open

Hao Liu, zongxiang xiu, Lejun Liu, Jie Dong, Qiuhong Xie , et al. · 2024

Efficient Neural Inertial Localization Open

Zhao Huang, Stefan Poslad, Fuqiang Gu, Meng Xu, Yifeng Zeng · 2024

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

Yinghui Pan, Biyang Ma, Hanyi Zhang, Yifeng Zeng · 2024

Study of the Influence of Damage Structures in Coal Seam Floors on the Damage of Small Hidden Faults Open

Liming Yin, Yuanhang Zhang, Juntao Chen, Borui Wang, Yifeng Zeng , et al. · 2023

In order to study the catastrophe law of small hidden faults along the floors of deep quarries under the coupled conditions of high stress and strong seepage, this paper proposes a concept of damage structure that can replace the overall p…

Improving Knowledge Learning Through Modelling Students’ Practice-Based Cognitive Processes Open

Huifan Gao, Yifeng Zeng, Biyang Ma, Yinghui Pan · 2023

Practice is an essential means by which humans and animals engage in cognitive activities. Intelligent tutoring systems, with a crucial component of modelling learners’ cognitive processes during learning and optimizing their learning stra…

Intention recognition for multiple agents Open

Zhang Zhang, Yifeng Zeng, Wenhui Jiang, Yinghui Pan, Jing Tang · 2023

Discovering common intentions of multiple agents is one of the important ways to detect the tendency of their collaborative behaviours. Existing work mainly focuses on intention recognition in a single-agent setting and uses a descriptive …

Discovering a cohesive football team through players’ attributed collaboration networks Open

Shenbao Yu, Yifeng Zeng, Yinghui Pan, Bilian Chen · 2022

The process of team composition in multiplayer sports such as football has been a main area of interest within the field of the science of teamwork, which is important for improving competition results and game experience. Recent algorithm…

Diversifying agent's behaviors in interactive decision models Open

Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang , et al. · 2022

Modeling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimize its own decisions, a subject agent needs to model what other agents act simultaneously in an uncertain environm…

Diversifying Agent's Behaviors in Interactive Decision Models Open

Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang , et al. · 2022

Modelling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimise its own decisions, a subject agent needs to model what other agents act simultaneously in an uncertain environ…

Learning a Typhoon Bayesian Network Structure from Natural Language Reports Open

Zhangrui Yao, Junhan Chen, Yinghui Pan, Yifeng Zeng, Biyang Ma , et al. · 2022

Intention Recognition for Multiple Agents Open

Zhang Zhang, Yifeng Zeng, Yingke Chen · 2021

Intention recognition is an important step to facilitate collaboration among multiple agents. Existing work mainly focuses on intention recognition in a single-agent setting and uses a descriptive model, e.g. Bayesian networks, in the reco…

Modelling other agents through evolutionary behaviours Open

Yifeng Zeng, Ran Qiang, Biyang Ma, Yinghui Pan · 2021

Modelling other agents is a challenging topic in artificial intelligence research particularly when a subject agent needs to optimise its own decisions by predicting their behaviours under uncertainty. Existing research often leads to a mo…

Toward data-driven solutions to interactive dynamic influence diagrams Open

Yinghui Pan, Jing Tang, Biyang Ma, Yifeng Zeng, Zhong Ming · 2021

With the availability of significant amount of data, data-driven decision making becomes an alternative way for solving complex multiagent decision problems. Instead of using domain knowledge to explicitly build decision models, the data-d…

Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach Open

Zainab Alalawi, Yifeng Zeng, The Anh Han · 2020

Few modelling studies have been carried out to investigate patients’ involvement in the decision-making process in a healthcare system. Here we perform theoretical and simulation analysis of a healthcare business model involving three popu…

Optimal Region Search with Submodular Maximization Open

Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao · 2020

Region search is an important problem in location-based services due to its wide applications. In this paper, we study the problem of optimal region search with submodular maximization (ORS-SM). This problem considers a region as a connect…

Tensor Decomposition for Multi-agent Predictive State Representation Open

Bilian Chen, Biyang Ma, Yifeng Zeng, Langcai Cao, Jing Tang · 2020

Predictive state representation~(PSR) uses a vector of action-observation sequence to represent the system dynamics and subsequently predicts the probability of future events. It is a concise knowledge representation that is well studied i…

Learning a Planning Domain Model From Natural Language Process Manuals Open

Yongfeng Huo, Jing Tang, Yinghui Pan, Yifeng Zeng, Langcai Cao · 2020

Artificial intelligence planning techniques have been widely used in many applications. A big challenge is to automate a planning model, especially for planning applications based on natural language (NL) input. This requires the analysis …

Team Recommendation Using Order-Based Fuzzy Integral and NSGA-II in StarCraft Open

Lin Wang, Yifeng Zeng, Bilian Chen, Yinghui Pan, Langcai Cao · 2020

As one of the well-known real-time strategy games, StarCraft has become an important benchmark for game artificial intelligence research. Previous works in StarCraft mostly focused on strategic planning and tactical reasoning. One of the k…

Modelling Cooperation in a Dynamic Healthcare System Open

Zainab Alalawi, Yifeng Zeng, The Anh Han, Aiman Elragig · 2019

Our research is concerned with studying behavioural changes within a dynamic system, i.e. health care, and their effects on the decision-making process. Evolutionary Game theory is applied to investigate the most probable strategy(ies) ado…

Modelling Cooperation in a Dynamic Healthcare System Open

Zainab Alalawi, Yifeng Zeng, Aiman Elragig · 2019

Our research is concerned with studying behavioural changes within a dynamic system, i.e. health care, and their effects on the decision-making process. Evolutionary Game theory is applied to investigate the most probable strategy(ies) ado…

Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach Open

Zainab Alalawi, The Anh Han, Yifeng Zeng, Aiman Elragig · 2019

Spending by the UK's National Health Service (NHS) on independent healthcare treatment has been increased in recent years and is predicted to sustain its upward trend with the forecast of population growth. Some have viewed this increase a…

Nonnegative Tensor Completion via Low-Rank Tucker Decomposition: Model and Algorithm Open

Bilian Chen, Ting Sun, Zhehao Zhou, Yifeng Zeng, Langcai Cao · 2019

We consider the problem of low-rank tensor decomposition of incomplete tensors that has applications in many data analysis problems, such as recommender systems, signal processing, machine learning, and image inpainting. In this paper, we …

Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach Open

Zainab Alalawi, The Anh Han, Yifeng Zeng, Aiman Elragig · 2019

Spending by the UK’s National Health Service (NHS) on independent healthcare treatment has been increased in recent years and is predicted to sustain its upward trend with the forecast of population growth. Some have viewed this increase a…

A Heterogeneous Multiattribute Group Decision‐Making Method Based on Intuitionistic Triangular Fuzzy Information Open

Jun Xu, Jiu-Ying Dong, Shu‐Ping Wan, Deyan Yang, Yifeng Zeng · 2019

How to aggregate decision information in heterogeneous multiattribute group decision making (HMAGDM) is vital. The aim of this paper is to develop an approach to aggregating decision data into intuitionistic triangular fuzzy numbers (ITFNs…

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