Postdoctoral Researcher · Tsinghua University

Trustworthy AI for Industrial Intelligence

I develop trustworthy and generalizable AI methods for industrial time-series understanding, fault diagnosis, and prognostics and health management.

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  • 1200+Google Scholar citations
  • 3Core research themes
  • THUDepartment of Automation
Trustworthy AI Foundation Models Reliable PHM
Qi Li

👋 About Me

I am a postdoctoral researcher in the Department of Automation at Tsinghua University, working with Prof. Xiao He. My previous academic experience includes:

  • Sep 2022 - Jun 2026: Ph.D. in Mechanical Engineering at Tsinghua University, supervised by Prof. Zhaoye Qin in the group of Prof. Fulei Chu.
  • Apr 2025 - Sep 2025: Visiting scholar at Yale University, working with Prof. Lu Lu.
  • Apr 2022 - Sep 2022: Research intern at AIR, Tsinghua University, supervised by Yuanchun Li.
  • Sep 2019 - Jun 2022: M.Eng. in Control Theory and Control Engineering at Soochow University (SUDA), supervised by Prof. Liang Chen and Prof. Changqing Shen.
  • Sep 2015 - Jun 2019: B.Eng. in Electrical Engineering at SUDA.

My research interests include trustworthy AI, foundation models, and reliable prognostics and health management (PHM). My work focuses on developing interpretable, generalizable, and reliable learning systems for industrial applications. Please feel free to contact me regarding research collaboration.

🔥 News

  • 2026.07: Joined the Department of Automation at Tsinghua University as a postdoctoral researcher.
  • 2026.06: Received the Distinguished Graduate honor from Tsinghua University.
  • 2026.04: Named an Academic Rising Star of Tsinghua Mechanical Engineering.
  • 2026: VSLLaVA was published in Advanced Engineering Informatics.
  • 2026: Received the Merit Student Award from Tsinghua University.
  • 2025.12: Received the Shuimu Scholar Fellowship.
  • 2025.11: Served as a session chair at PHMAP.
  • 2025.09: Received the National Scholarship.
  • 2025.04: A paper was accepted by Information Fusion.
  • 2025.01: A paper was accepted by Advanced Engineering Informatics.
  • 2025.01: Selected for the 2024 CAST Youth Talent Support Program - Ph.D. Special Plan - CCF.
  • 2024.12: Received the Science and Technology Award of the Chinese Society of Vibration Engineering.
  • 2024.11: A paper was accepted by the Journal of Manufacturing Systems.
  • 2024.02: A paper was accepted by IEEE Transactions on Industrial Informatics.
  • 2023.02: A paper was accepted by Reliability Engineering & System Safety.
  • 2022.05: Received the Future Scholars Scholarship from Tsinghua University.

📝 Publications

🔖 PHM Foundation Models
Advanced Engineering Informatics 2026
VSLLaVA pipeline for industrial vibration signal analysis

VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis

Qi Li, Xinran Zhang, Jinfeng Huang, Hongliang He, Feibin Zhang*, Zhaoye Qin*, Fulei Chu

  • Published in Advanced Engineering Informatics, 2026. (SCI, CAS Q1 Top; Impact Factor: 11.5)
Information Fusion 2025
Heterogeneous Signal Embedding framework

HSE: A Plug-and-Play Module for Unified Fault Diagnosis Foundation Models

Qi Li, Bojian Chen, Qitong Chen, Xuan Li, Zhaoye Qin, Fulei Chu

  • Proposes a Heterogeneous Signal Embedding (HSE) module that projects heterogeneous signals into a unified signal space and integrates with existing intelligent fault-diagnosis architectures as a plug-and-play component. (JCR Q1; Impact Factor: 14.4)
  • Code

🔖 Neuro-symbolic Diagnosis
ADVEI 2025
Transparent information fusion network

Transparent information fusion network: An explainable network for multi-source bearing fault diagnosis via self-organized neural-symbolic nodes

Qi Li, Lichang Qin, Haifeng Xu, Qijian Lin, Zhaoye Qin, Fulei Chu

  • Introduces a transparent information fusion network with self-organized neural-symbolic nodes, enabling explainable multi-source fault diagnosis through knowledge-informed decision-making. (JCR Q1; Impact Factor: 8.0)
JMS 2024
Deep Expert Network architecture

Deep Expert Network: A Unified Method toward Knowledge-Informed Fault Diagnosis via Fully Interpretable Neuro-Symbolic AI

Qi Li, Yuekai Liu, Shilin Sun, Zhaoye Qin, Fulei Chu

  • Proposes a neuro-symbolic approach to fault diagnosis that incorporates interpretable expert knowledge through a Deep Expert Network. (JCR Q1; Impact Factor: 12.2)
IEEE TII 2024
Transparent Operator Network architecture

Transparent Operator Network: A Fully Interpretable Network Incorporating Learnable Wavelet Operator for Intelligent Fault Diagnosis

Qi Li, Hua Li, Wenyang Hu, Shilin Sun, Zhaoye Qin, Fulei Chu

  • Introduces an interpretable method for industrial time-series classification by integrating learnable wavelet operators. (JCR Q1; Impact Factor: 12.3)

🔖 Cross-domain Diagnosis
RESS 2023
Cross-domain augmentation diagnosis framework

Cross-Domain Augmentation Diagnosis: An Adversarial Domain-Augmented Generalization Method for Fault Diagnosis under Unseen Working Conditions

Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen

  • Presents a domain-generalization approach that combines adversarial learning and data augmentation for robust industrial time-series classification. (JCR Q1; Impact Factor: 9.4)
IEEE TII 2022
Adversarial domain-invariant generalization framework

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis under Unseen Conditions

Chen Liang, Qi Li, Changqing Shen, Jun Zhu, Dong Wang, Min Xia

  • Introduces a domain-regressive framework that uses adversarial learning between feature extractors and domain classifiers to improve diagnosis under unseen conditions. (JCR Q1; Impact Factor: 11.7; highly cited)
MSSP 2021
Knowledge mapping-based adversarial domain adaptation framework

Knowledge Mapping-Based Adversarial Domain Adaptation: A Novel Fault Diagnosis Method with High Generalizability under Variable Working Conditions

Qi Li, Changqing Shen, Liang Chen, Zhongkui Zhu

  • Introduces a knowledge-mapping and adversarial-learning strategy that improves generalizability across variable operating conditions. (JCR Q1; Impact Factor: 7.9; highly cited)

🎖 Honors and Awards

  • 2026: Distinguished Graduate, Tsinghua University.
  • 2026: Merit Student Award, Tsinghua University.
  • 2026: Academic Rising Star of Tsinghua Mechanical Engineering.
  • 2025: Shuimu Scholar Fellowship.
  • 2025: National Scholarship, Ministry of Education of China.
  • 2025: The 2024 CAST Youth Talent Support Program - Ph.D. Special Plan - CCF.
  • 2024: Tsinghua Scholarship for Overseas Graduate Studies.
  • 2024: Science and Technology Award of the Chinese Society of Vibration Engineering.
  • 2023: Social Practice Scholarship, Tsinghua University.
  • 2022: Future Scholars Scholarship, Tsinghua University.
  • 2021: National Scholarship, Ministry of Education of China.
  • 2021: Outstanding Student Cadre of Jiangsu Province.
  • 2021: Outstanding Postgraduate Cadre, Soochow University.
  • 2020: National Scholarship, Ministry of Education of China.
  • 2020: Outstanding Postgraduate, Soochow University.
  • 2019: Special Award of the Graduate Academic Scholarship.
  • 2019: Delivered the graduate student representative address at the opening ceremony of Soochow University.
  • 2019: Outstanding Graduate, Soochow University.

📖 Education

  • 2026.07 - Present: Postdoctoral researcher in the Department of Automation at Tsinghua University, working with Prof. Xiao He.
  • 2025.04 - 2025.09: Visiting scholar in Statistics and Data Science at Yale University, working with Prof. Lu Lu.
  • 2022.09 - 2026.06: Ph.D. in Mechanical Engineering, Tsinghua University; supervisor: Prof. Zhaoye Qin.
  • 2019.09 - 2022.06: M.Eng. in Control Theory and Control Engineering, Soochow University; supervisors: Prof. Liang Chen and Prof. Changqing Shen.
  • 2015.09 - 2019.06: B.Eng. in Electrical Engineering, Soochow University.

💬 Invited Talks

  • 2024.04: Beijing AI Ph.D. Student Forum, Beijing, China (approximately 20,000 viewers).
  • 2023.11: PHM Conference, Hangzhou, China.
  • 2023.04: Tsinghua University Mechanical Engineering Ph.D. Student Forum.
  • 2020.07: IEEE INDIN 2020, Warwick, United Kingdom.
  • 2018.07: SDPC 2018, Xi’an, China.

💻 Internships

  • Mar 2022 - Aug 2022: Research Intern at the Institute for AI Industry Research (AIR), Tsinghua University.
    • Conducted research on AI-enabled time-series analysis for battery monitoring.

🔧 Skills

  • English: CSC English Test, 104/130.
  • Programming: Python, MATLAB, PyTorch, and TensorFlow.
  • Interests: Marathon running, positive psychology, and strength training.

🖥 Peer Review Service

  • Information Fusion
  • Advanced Engineering Informatics
  • IEEE Transactions on Industrial Informatics
  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Instrumentation and Measurement
  • Measurement
  • Measurement Science and Technology
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Reliability
  • Engineering
  • Applied Soft Computing
  • Reliability Engineering & System Safety

🤔 Projects

  • Vibration and noise reduction for aerospace systems (key contributor).
  • Parameter measurement for aerospace systems (key contributor).
  • Lead the open-source PHMBench project group and contribute to broader PHM research initiatives.
  • Self-Distillation During My Ph.D.

🎙 Social Activities

  • 2025: Interviewed by Tsinghua University (link).
  • 2023: Volunteer at the IFToMM International Conference on Rotordynamics.
  • 2019 - 2022: Graduate student class representative in the School of Mechanical and Electric Engineering, Soochow University.
  • 2021: Interviewed by the Student Union of Soochow University (link).
  • 2019: Delivered the graduate student representative address at the opening ceremony of Soochow University (link).

📫 Contact

Last updated: July 2026