Trustworthy Machine Learning
Algorithmic stability, generalization, feature selection, interpretable ML, and graph learning.
Trustworthy AI · Biomedical AI · AI in Education
Xinxing Wu
AI researcher and educator building reliable, interpretable, and practical learning systems.
My research focuses on algorithmic stability, interpretable machine learning, feature selection, graph learning, biomedical AI, survival modeling, and AI-enhanced education. I am currently an Assistant Prof. of AI at KYSU.
About
Research · Open source · Teaching
I develop reproducible machine-learning methods and open-source AI systems for scientific, biomedical, and educational applications.
Certifications: Red Hat Certified Engineer (RHCE); Red Hat Certified System Administrator (RHCSA)
Research Areas
Three connected directions
Biomedical AI
Machine learning for Alzheimer’s disease, LATE, transcriptomics, survival analysis, and progression modeling.
AI in Education
Open-source multimodal tools, virtual avatars, AI-assisted course materials, and student-centered learning.
Selected Publications
Representative work by area
Computer Science
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Stability-based Generalization Analysis of Distributed Learning Algorithms for Big Data
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Fractal Autoencoders for Feature Selection
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Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm
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Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
Biomedical AI
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PRIME Uncovers Circadian Oscillation Patterns and Links with Alzheimer’s Disease in Untimed Genome-Wide Gene Expression Data across Multiple Regions of Human Brain
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Random Forest-Integrated Analysis in AD and LATE Brain Transcriptome-Wide Data to Identify Disease-Specific Gene Expression
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Deep Learning Algorithm Reveals Probabilities of Stage-Specific Time to Conversion in Individuals with Neurodegenerative Disease LATE
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Machine Learning Approach Predicts Probability of Time to Stage-Specific Conversion of Alzheimer’s Disease
AI in Education
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Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring
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Talking Slide Avatars: Open-Source Multimodal Communication Approach for Teaching
Selected Open-Source Projects
Research code and teaching systems
FAE
Fractal Autoencoders for feature selection · AAAI 2021.
UFS
Stability and generalization for unsupervised feature selection · NeurIPS 2021.
DGAE
Deepened graph auto-encoders for link prediction · IJCAI 2022.
AD_Survival
DeepSurv pipeline for clinical survival and progression analysis.
SSVA
AI-assisted singing syllabi and virtual-avatar teaching materials.
AI-Powered Education
Open-source AI-enhanced education projects and classroom experiments.
Teaching Demos
Course websites, programming examples, and practical classroom demos.
Teaching
Courses taught or designed
Midway University
Jan. 2023 – Dec. 2025Computer Science · Undergraduate
- CSE-150: Introduction to Computer Science · Teacher · Spring 2023, Spring 2024, Spring 2025
- CSE-200: Computer Programming I · Teacher · Fall 2023
- CSE-210: Computer Programming II · Designer & Teacher · Spring 2023, Spring 2024
- CSE-250: Database Systems · Designer & Teacher · Spring 2023, Spring 2024, Spring 2025
- CSE-300: Human-Computer Interaction · Designer & Teacher · Fall 2023, Fall 2024, Fall 2025
- CSE-310: Platform Technologies · Designer & Teacher · Fall 2023, Fall 2024
- CSE-320: Networking · Designer & Teacher · Spring 2024, Spring 2025
- CSE-400: Cybersecurity · Designer & Teacher · Fall 2024, Fall 2025
- CSE-410: Mobile Computing · Designer & Teacher · Fall 2024, Fall 2025
- CSE-420: Emerging Technology · Designer & Teacher · Spring 2025
- CSE-430: AI in Advanced Data Analytics · Designer · Spring 2025
- CSE-490: Capstone · Designer & Teacher · Spring 2025
- CSE-495: Internship · Designer & Teacher · Summer 2024
Management Information Systems · Graduate
- MIS-502: Business Programming · Designer · Fall 2023
- MIS-612 (Online): Data and Information Management · Designer & Teacher · Fall 2023
- MIS-632: Intelligent Business Systems · Designer · Spring 2024; Teacher · Fall 2025
- MIS-642: MIS Security · Designer · Spring 2024
- MIS-652: Business Analytics · Designer · Fall 2023; Teacher · Fall 2025
- MIS-662: Machine Learning in MIS · Designer · Fall 2023; Teacher · Fall 2025
Kentucky State University
Jan. 2026 – PresentComputer Science · Undergraduate
- COS-107 (Hybrid): Prob Solving Logic & Design · Teacher · Fall 2026
- COS-109: Prin Computer Sci II · Teacher · Spring 2026, Fall 2026
- COS-200 (Online): Computer Information Systems · Teacher · Spring 2026
- COS-310: Discrete Computing Structures · Teacher · Fall 2026
- COS-340: Data Struc Algorithm Analy · Teacher · Spring 2026
- COS-460: Artificial Intelligence · Teacher · Fall 2026
- COS-475: Game Design and Development · Teacher · Spring 2026
Computer Science · Graduate
- COS-502: Computer Science Foundation I · Teacher · Spring 2026, Fall 2026
- COS-504: Computer Science Found II · Teacher · Fall 2026
- COS-506 (Hybrid): Adv Programming/Data Structure · Teacher · Spring 2026
- COS-537 (Hybrid): Artificial Intelligence · Teacher · Fall 2026
Professional Service
Academic community service
Program Committee Member: NeurIPS, ICML, AAAI, CVPR, IJCAI, ICLR, ICCV, ECCV, WACV, WWW, AMIA, etc.
Journal Reviewer: TMLR, CAAI Transactions on Intelligence Technology, Artificial Intelligence in Medicine, The Journal of Supercomputing, npj Dementia, Heliyon, etc.