Artificial Intelligence

July 28 - August 2, 2024

Program dates

16,800 RMB
(Early Decision Price 15,800 RMB)


High School

Who can apply



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Doris Deng

Program Assistant for Global Summer Institute
Office of International Relations
T: (+86) 0512-3665-7656


Artificial intelligence (AI) has surpassed humans in numerous areas, ranging from games like chess and go to practical applications like cancer detection. Thanks to the recent progress in deep learning and the abundance of big data, AI is enhancing productivity and driving innovation across various fields, and this transformative process remains ongoing.

AI presents both challenges and opportunities for high school students interested in pursuing related subjects in college. This program offers students the chance to delve into AI and its applications across various scenarios. In lieu of delving deeply into the fundamental theories and intricate algorithms of AI, students will grasp the principles and acquire hands-on experience. The course takes a modern approach to AI and spotlights a diverse array of emerging applications driven by recent breakthroughs in machine learning. Upon completion of the course, students should have a solid understanding of different AI modules, as well as comprehend the “what, how, and why” of various AI methods.

Throughout the week, students will explore several pivotal modules and put them into practice through real-world applications, encompassing data analytics, image and video processing, natural language processing, etc. Additionally, they will delve into the current and future trends of AI, including in-depth discussions on generative AI. In addition to lectures, students will have access to coding examples and gain hands-on experience through a series of mini projects.

Learning Outcomes

  • Learn the principles behind AI’s ability to tackle complex real-world challenges
  • Learn to implement popular neural network models for tasks in areas such as machine learning, computer vision, and natural language
  • Learn to choose the most effective AI solution for real-world issues, with a critical understanding of the inherent limitations of such solutions
  • Learn demonstrations of cutting-edge AI applications and their practical utility
  • Learn the broader societal implications of AI and learn to consider the ethical dimensions of artificial intelligence deployment

Program Highlights

  • Interactive lectures with experts in artificial intelligence and machine learning
  • Hands-on projects and demo involving real datasets to solve actual problems using AI tools
  • Collaborative learning environment with access to state-of-the-art AI software and platforms
  • (TBD) Guest talks and field trips to the forefront of AI innovation

Application Requirements

– Current high school students (grades 10-12) with excellent overall qualities and good listening, speaking, reading, and writing skills in English.
– Open to all arts and science students and admission is based on merit according to batch.


  • Program fee: 16,800 RMB/person
  • 15,800RMB/person for early decisions (apply before March 31)

Program Owner/Instructor

Kaizhu Huang

Professor of Electrical and Computer Engineering, Director of Data Science Research Center
Duke Kunshan University

Kaizhu Huang is currently Professor of ECE and Director of Data Science Research Center at Duke Kunshan University (DKU). He is Adjunct Professor and PhD Advisor at Wuhan University. Prof. Huang has extensive working experiences in Hong Kong, Japan, and UK. He won the top research award ‘President Award’ in Fujitsu Laboratories in 2007. Prof. Huang obtained his PhD degree from Chinese University of Hong Kong (CUHK) in 2004. He was the recipient of the 2011 Asia Pacific Neural Network Society Young Researcher Award. He received best paper/book awards or nominations seven times in AI. His research interests include machine learning, computer vision, data mining and deep learning. So far, he has published 9 English books and over 230 international research papers including 120+ SCI-indexed international journals. He serves as associated editors in 6 international journals. He was invited as keynote speaker in more than 40 international conferences or workshops.

Dongmian Zou

Assistant Professor of Data Science
Duke Kunshan University

Dongmian Zou is an Assistant Professor of Data Science in the Division of Natural and Applied Sciences, Duke Kunshan University. He is also affiliated with the Data Science Research Center (DSRC) and the Zu Chongzhi Center for Mathematics and Computational Sciences (CMCS). He received the B.S. degree in Mathematics (First Honour) from the Chinese University of Hong Kong in 2012 and the Ph.D. degree in Applied Mathematics and Scientific Computation from the University of Maryland, College Park in 2017. From 2017 to 2020, he served as a post-doctorate researcher at the Institute for Mathematics and its Applications, and the School of Mathematics at the University of Minnesota, Twin Cities. His research is in the intersection of applied harmonic analysis, machine learning and signal processing. His current interest includes geometric deep learning and anomaly detection, and applications in e.g., communication, diagnosis and medical imaging. He has published papers in top machine learning and interdisciplinary conferences such as ICLR, KDD and AISTATS, and journals such as Applied and Computational Harmonic Analysis and IEEE TIT, TNNLS, TCAD, etc. He is passionate about mentoring undergraduate research. Many students he mentored for research have been directly admitted to PhD programs (UC Berkeley, UIUC, UPenn, etc.) or admitted to top master’s programs (MIT, Harvard, Brown, etc.).

Application Deadlines

Application Materials

Applicants must complete the information requested within the link in its entirety which includes:

1. Recommendation Form (Required)
Please contact your high school to complete the Recommendation Form and affix the official seal. Application forms without official seal will not be accepted. You can find the recommendation form template by the below link:

2. High School Transcript (Required)
The high school transcript must affix an official seal or the academic affairs department seal. You are recommended to use the transcript template provided by the program team. Transcripts should include end-of-semester grades for each semester since high school (full marks for individual subjects must be indicated). Please also provide overall rankings or rankings by arts/science and indicate the total number of students If there is a grade ranking. You can also find the transcript template by the below link:

3. Self-introduction in English (Required)
Please introduce yourself in English with no more than 200 words (e.g. personal background, reasons for choosing the program, academic interests, leadership experience, extracurricular activities...).

4. Other supplementary Materials (Optional)
• Certificates of academic competitions, e.g., Five Subject Olympiads, national/provincial/municipal academic competitions, etc.
• Certificate of Language Proficiency (CLP), e.g., TOEFL, IELTS, etc.
• Proof of creative and innovative ability, e.g., National/provincial/municipal innovation competitions, invention patents, etc.
Notes: While these materials are not required, it is recommended that you merge them into a PDF file before uploading.

Are You Ready To Start?


Doris Deng

Program Assistant for Global Summer Institute
Office of International Relations
T: (+86) 0512-3665-7656