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

My research interests lie in the areas of statistical machine learning, particularly nonparametric teaching (NT). Specifically, my current research focuses on developing principle guided strategies for NT and expanding the applicability of NT.

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.

📃 Publications

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{zhang2024ntinr,
    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{zhang2023mint,
    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{zhang2023nimt,
    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

• The National Scholarship (Twice) [Nov 2016/ Nov 2018]
• Excellent Graduate of Hebei Province [May 2019]
• Top Ten College Students of NU [May 2018]

🖊 Miscellaneous

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 (Qinhuangdao), 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 - 2024 Chen Zhang | Last updated on 17 Jul 2024.