I am a Ph.D. student in the Department of Mechanical Engineering at Tsinghua University. My research interests include trustworthy AI 🛡️, physics-informed foundation models 🧪 and prognostic and health management (PHM) 🔍.
My full academic homepage can be found at: https://liq22.github.io 🌐
The details of my research can be found in my Publications 📚.
- 🏗️ Building large-scale, general-purpose models for industrial equipment health monitoring and predictive maintenance.
- 🚀 I am leading an open-source project group called PHMBench and contribute to various PHM research initiatives.
🔥 Notable work: HSE: A Plug-and-Play Module for Unified Fault Diagnosis Foundation Models
- 🔄 Combining neural networks with symbolic knowledge to create more explainable and robust fault diagnosis systems.
✨ Notable publications:
- 📊 Transparent Operator Network (TII 2024)
- 🧩 Deep Expert Network (JMS 2024)
- 🔍 Transparent Information Fusion Network (ADVEI 2025)
🔄 Developing methods to transfer knowledge between different domains and equipment types for efficient fault diagnosis.
📝 Notable publications:
- 🌐 Cross-Domain Augmentation Diagnosis (RESS 2023)
- 🛠️ Adversarial Domain-Invariant Generalization (TII 2022)
- 🧪 Knowledge Mapping-Based Adversarial Domain Adaptation (MSSP 2021)
