I am broadly interested in efficient computer vision and machine learning, with a primary goal of reducing the enormous training costs associated with deep neural networks. More specifically, my research is dedicated to designing highly efficient algorithms that enable machine learning models to achieve near-optimal performance using only a small amount of data. Currently, I focus on dataset distillation and coreset selection, exploring both matching-based methods, generative model-based approaches and optimization-free methods. I am also interested in exploring its potential applicability beyond the image classification, particularly in addressing more complex computer vision tasks, such as image restoration, detection, and so on.

🔥 News

• 2025.10:  🎉🎉 One paper is accepted in IEEE TIP.
• 2025.06:  🎉🎉 One paper is accepted in Neural Networks.
• 2024.12:  🎉🎉 J’ai réussi le DALF C1 de justesse. Merci à tous mes professeurs de français.
• 2024.07:  🎉🎉 J’ai réussi le DELF B2. Merci à tous mes professeurs de français.
• 2020.12:  🎉🎉 Won the Bronze Medal at the ICPC Asia Regional Contest (Shanghai). Thanks to teammates Zhuowen Yan and Rufeng Yang.

📝 Publications

IEEE TIP 2025

Unleashing the power of each distilled image

Jingxuan Zhang, Zhihua Chen, and Lei Dai

IEEE TIP 2025 | Code

Neural Networks 2025

Gradient amplification for gradient matching based dataset distillation

Jingxuan Zhang, Zhihua Chen, Lei Dai, Ping Li, and Bin Sheng

Neural Networks 2025 | Code

• IEEE TIP 2025 Unleashing the power of each distilled image,
  Jingxuan Zhang, Zhihua Chen, and Lei Dai.
• Neural Networks 2025 Gradient amplification for gradient matching based dataset distillation,
  Jingxuan Zhang, Zhihua Chen, Lei Dai, Ping Li, and Bin Sheng.

🏆 Honors and Awards

• 2022 & 2023 First Prize of Master Academic Scholarship.
• 2020 Bronze Medal of ICPC Asia Regional Contest, Shanghai Site.
• 2019 & 2020 Second Prize of C/C++ Programming (Group A) of Lanqiao Cup, Shanghai.
• 2019 & 2020 First-class Outstanding Innovative Talent Scholarship of ECUST.
• 2019 & 2020 First-class Scholarship of ECUST.
• 2019 Second Prize of National Undergraduate Mathematics Competition (Non-Mathematics Major).
• 2019 First Prize of ECUST Mathematics Grand Competition.

📖 Educations

• 2022.09 - Present, East China University of Science and Technology, Shanghai, China, Ph.D. in Computer Science and Engineering.
• 2018.09 - 2022.06, East China University of Science and Technology, Shanghai, China, B.E. in Computer Science and Engineering.

💬 Invited Talks

💻 Internships