A5084935157- Software Reliability and Analysis Research
- Online Learning and Analytics
- Reliability and Maintenance Optimization
- Topic Modeling
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Advanced Graph Neural Networks
- Software Engineering Research
- Risk and Safety Analysis
- Recommender Systems and Techniques
- Software Testing and Debugging Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Network Traffic and Congestion Control
- Vehicle License Plate Recognition
- Formal Methods in Verification
- Industrial Vision Systems and Defect Detection
- Complex Network Analysis Techniques
- Security and Verification in Computing
- Advanced Decision-Making Techniques
- Logic, Reasoning, and Knowledge
- Cryptography and Data Security
- Vehicular Ad Hoc Networks (VANETs)
- Software-Defined Networks and 5G
- Domain Adaptation and Few-Shot Learning
- Access Control and Trust
Jinan University
2016-2025
Guangdong Testing Institute for Product Quality Supervision
2023-2025
University of Jinan
2023-2024
Sun Yat-sen University
2024
National Supercomputing Center in Shenzhen
2024
Data Assurance and Communication Security
2023-2024
Guangdong University of Education
2022
Chinese People's Liberation Army
2020
Jinan Institute of Quantum Technology
2015-2017
Online learning is currently adopted by educational institutions worldwide to provide students with ongoing education during the COVID-19 pandemic. Even though online research has been advancing in uncovering student experiences various settings (i.e., tertiary, adult, and professional education), very little progress achieved understanding experience of K-12 population, especially when narrowed down different school-year segments primary secondary school students). This study explores how...
Abstract. Compared with the traditional mobile robots, new concept robots have greater deformation capability and richer gait; similarly, they a better to adapt environment. This paper presents ring four-array rolling mechanism that consists of four anti-parallelogram mechanisms revolute joints. The is connected by anti-parallelograms in looped configuration has not-totally-closed shape, whose external contour similar quadrangular prism. planar spherical patterns locomotion, which pattern...
Abstract The use of predictive analytics powered by machine learning (ML) to model educational data has increasingly been identified exhibit bias towards marginalized populations, prompting the need for more equitable applications these techniques. To tackle that emerges in training or models at different stages ML modelling pipeline, numerous debiasing approaches have proposed. Yet, research into state‐of‐the‐art techniques effectively employing enhance fairness scenarios remains limited....
Purpose The purpose of this study is to address the challenge object manipulation in scenarios where target not explicitly defined, requiring robots engage efficient planning determine sequence actions for picking, placing and positioning objects. aim develop a multistep skill learning method that integrates perception with set primitive actions, including novel action orienting, enable perform complex tasks require interaction various objects cluttered unstructured environments....
Abstraction is an important and useful concept in the field of artificial intelligence. To best our knowledge, there no syntactic method to compute a sound complete abstraction from given low-level basic action theory refinement mapping. This paper aims address this issue. end, we first present variant situation calculus, namely linear integer which serves as formalization high-level theory. We then migrate Banihashemi, De Giacomo, Lesperance’s framework one calculus extended calculus....
With the ability to produce renewable energy sources and control system devices in an adaptive way, smart home systems (SHSs) have significantly improved quality of our lives. Due mission-critical nature complex correlations within system, it is imperative perform reliability analysis on SHSs. This article studies SHSs performing multiphase mission subject both common cause failures cascading behaviors, where occurrence causes would multiple components failure a component may further affect...
Objective: To investigate the epidemiological characteristics of a family clustering COVID-19. Methods: Field survey was conducted. Results: Case 1 long-term residents from Hubei province source infection this clustering. There were 6 cases (from case 2 to 7) infected in whole incubation period. The period more than 14 days for 3 second-generation cases. Routes transmission included respiratory droplets transmitted 6, her members) and close contact other family). All age groups generally...
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays. While much effort has been made in this area, current research primarily focuses on either (i) boosting the predictive accuracy of an AES model for specific prompt (i.e., developing prompt-specific models), which often heavily relies use labeled data from same target prompt; or (ii) assessing applicability models developed non-target prompts intended...
The Knowledge Tracing (KT) task aims to trace the changes of students' knowledge state in real time according historical learning behavior, and predict future performance. modern KT models have two problems. One is that these can't reflect actual level. Most only judge based on their performance exercises, poor will lead a decline state. However, essence process acquiring knowledge, which also manifestation behavior. Even if they answer exercises incorrectly, still gain knowledge. other...