👋😀 Hi (你好, Hallo, Bonjour, こんにちは, 안녕하세요) !

My research interests encompass statistical machine learning and nonparametric methods. Following the introduction of nonparametric teaching (NT), I am deeply engaged in designing principled strategies for NT and broadening its scope of applications.

Please feel free to Email (u3567831[at]connect.hku.hk is discarded) me if you have any questions, feedback, or opportunities you’d like to discuss.

📃 First Author Publications

View all my publications

ICML 2025 Spotlight

Nonparametric Teaching for Graph Property Learners
Chen Zhang*, Weixin Bu*, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
ICML 2025 Spotlight (representing the top 2.6% of 12107 submissions, and are the submissions most highly-recommended by the program committee)
arXiv | project page | code | poster | slides | openreview | bib

@inproceedings{zhang2025nonparametric,
  title={Nonparametric Teaching  for Graph Property Learners},
  author={Zhang, Chen and Bu, Weixin and Ren, Zeyi and Liu, Zhengwu and Wu, Yik-Chung and Wong, Ngai},
  booktitle={ICML},
  year={2025}
}

ICML 2024

Nonparametric Teaching of Implicit Neural Representations
Chen Zhang*, Steven Tin Sui Luo*, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong
ICML 2024
arXiv | project page | code | poster | slides | bib

@InProceedings{zhang2024nonparametric,
    title={Nonparametric Teaching of Implicit Neural Representations},
    author={Zhang, Chen and Luo, Steven and Li, Jason and Wu, Yik-Chung and Wong, Ngai},
    booktitle = {ICML},
    year={2024}
}

NeurIPS 2023

Nonparametric Teaching for Multiple Learners
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok
NeurIPS 2023
arXiv | code | poster | slides | openreview | bib

@InProceedings{zhang2023nonparametric,
    title={Nonparametric Teaching for Multiple Learners},
    author={Zhang, Chen and Cao, Xiaofeng and Liu, Weiyang and Tsang, Ivor and Kwok, James},
    booktitle = {NeurIPS},
    year={2023}
}

ICML 2023

Nonparametric Iterative Machine Teaching
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok
ICML 2023
arXiv | code | poster | slides | talk | bib

@InProceedings{zhang2023nonparametric,
    title={Nonparametric Iterative Machine Teaching},
    author={Zhang, Chen and Cao, Xiaofeng and Liu, Weiyang and Tsang, Ivor and Kwok, James},
    booktitle = {ICML},
    year={2023}
}

🏆 Honors

• HKU PGS [Apr 2024]
• The National Scholarship (Twice) [Nov 2016/ Nov 2018]
• Provincial Outstanding Graduate [May 2019]
• Top Ten College Students of NU [May 2018]

🖊 Miscellaneous

Currently, I am pursuing the Ph.D. degree in the department of electrical and electronic engineering from the University of Hong Kong (HKU), under the supervision of Prof. Yik-Chung Wu and Prof. Ngai Wong. I obtained a Master’s degree in the department of Statistics & Actuarial Science from HKU, where I gained a solid foundation in statistical theory and methodology. In addition, I have gained practical experience through internships at Midea Group and Tencent, where I worked on projects related to data development, data analysis, and business analytics. Before pursuing graduate studies, I completed my undergraduate education in Applied Statistics at Northeastern University (China), where I received rigorous training in mathematics, statistical theory and data analysis.

I am always passionate about applying statistical and machine learning techniques to real-world problems and contributing to the advancement of artificial intelligence and statistics. I firmly believe that hard work will always pay off, and as long as we keep moving forward, we will eventually see the light at the end of the tunnel.

© 2023 - 2025 Chen Zhang | Last updated on 21 May 2025.