Jinshi Liu 刘金狮

Assistant Professor / Distinguished Associate Research Fellow

School of Artificial Intelligence, Shenzhen University

I work on trustworthy machine learning and computer vision, with a focus on learning from limited or imperfect supervision and making models reliable under uncertainty, occlusion, and distribution shift.

I received my Ph.D. from Central South University in 2024 and subsequently worked there as a postdoctoral researcher. I was also a visiting Ph.D. student at Peng Cheng Laboratory.

Prospective students

I am looking for 2 motivated master's students at the School of Artificial Intelligence, Shenzhen University.

Strong mathematics and a solid understanding of deep learning fundamentals are especially welcome. I offer hands-on research guidance and computing resources. Outstanding students may be recommended for joint Ph.D. opportunities with Peng Cheng Laboratory and Harbin Institute of Technology, Shenzhen, subject to the relevant admission requirements.

Please email me with your CV and a brief description of your research interests. jsl@szu.edu.cn

Research interests

  • Trustworthy learning. Semi-supervised learning, pseudo-label selection, and uncertainty estimation.
  • Visual perception. Image, video, and 3D segmentation; occlusion and incomplete observations.
  • Multimodal understanding. Representation learning across vision, language, and structured information.
  • Structured modeling. Connecting visual perception with mechanism-based models for complex systems.

Current focus (2024–present): Domain generalization & test-time adaptation; learning with noisy labels & knowledge distillation; LLM hallucination detection.

Selected publications

Funding & projects

  • NSFC Young Scientists Fund (Category C) · PI · 2026.01–2028.12 · No. 62503505
    Generative construction of airflow-field structured models for zinc-smelting rotary volatile-kiln materials based on permeability characterization
  • NSFC General Program · Subtask lead · 2026.01–2029.12 · No. 62573438
    Early warning of internal short circuits in lithium-ion energy-storage batteries with aging and time-frequency coupling
  • Hunan Provincial Natural Science Foundation — Young Scientists Fund (Category C) · PI · 2025.01–2027.12 · No. 2025JJ60424
    Flexible construction of structured reactor models based on cellular graph learning
  • National Key Research and Development Program · Subtask lead · 2025.01–2027.12 · No. 2024YFC3908003
    Online detection equipment and digital regulation for zinc-smelting solid-waste recycling
  • National Postdoctoral Researcher Funding Program (Category C) · PI · 2024.07–2026.07 · No. GZC20251179
    Topological construction of airflow-field structured models for zinc-smelting rotary-kiln materials based on permeability analysis
  • China Postdoctoral Science Foundation Special Joint Funding · PI · 2024.07–2026.07 · No. 2025T012HN
    Hypergraph-based topology for coupled particles and airflow in zinc-smelting volatile kilns
  • Central South University Graduate Innovation Project · PI · 2022–2023 · No. 2023zzts0619
    Blast-furnace material particle-size distribution detection based on visual perception and packing models

Honors & awards

  • 2025
    Bronze Award · 2nd Hunan Provincial Postdoctoral Innovation & Entrepreneurship Competition
    Hunan Provincial Department of Human Resources and Social Security
  • 2024
    National Third Prize · National competition finals
    China Academy of Information and Communications Technology
  • 2024
    Outstanding Student · Central South University Outstanding Student · 2022–2023
    Central South University · Individual honor
  • 2023
    Outstanding Paper · 2nd Prize · 16th Hunan Provincial Graduate Student Innovation Forum
    Hunan Provincial Degree Committee Office
  • 2023
    Innovation Award · Central South University President’s Innovation Scholarship
    Central South University · Individual honor
  • 2022
    Outstanding Paper · 1st Prize · 15th Hunan Provincial Graduate Student Innovation Forum
    Hunan Provincial Degree Committee Office
  • 2020
    Outstanding Paper Award · “Innovation in China” Innovation & Entrepreneurship Annual Meeting
    Central South University
  • 2018
    First Prize · 4th Mining & Metallurgical Engineering Chemistry Virtual Simulation Competition
    Central South University

Education & experience

Academic appointments

  • 2026–present
    Shenzhen University · School of Artificial Intelligence
    Assistant Professor / Distinguished Associate Research Fellow
  • 2024.07–2026.07
    Central South University · Postdoctoral Researcher
    Computer Science · Pseudo-label learning & complex-process intelligence
  • 2021.03–2024.05
    Peng Cheng Laboratory · Visiting Ph.D.
    Frontier Academic Center · Complex-scene modeling & XR human–computer interaction

Education

  • 2020.09–2024.06
    Central South University · Control Science and Engineering
    Ph.D. · Multimodal visual perception
  • 2017.09–2020.06
    Central South University · Control Science and Engineering
    M.E. · Monocular 3D reconstruction
  • 2013.09–2017.06
    Central South University · Intelligent Science and Technology
    B.E. · Multi-objective optimization