Abstract:
This report is divided into three parts. Firstly, we will discuss the AI undergraduate program that did not exist thirteen years ago with our classmates. Why was this major set up? What kind of students do I personally expect to join our department and how will they graduate in four years? During these four years of enjoyable learning, what kind of challenges may the students face and enjoy? Secondly, I will share with the students my current AI research work, thirteen years after studying software engineering. Spoiler alert: The goal of AI is to endow machines with intelligence, which not only requires computers to recognize cats, understand you when you ask it to open a program, and write a grammatically correct kindergarten narrative, but also requires them (him? her?) to understand human behavior patterns, have a certain emotional intelligence, and know how to survive in human society, which is our research goal. Finally, the most interesting and anticipated part is the interactive exchange! Excellent students in the Turing class, let's meet on Thursday (because of the pandemic – I'll see you on Thursday)!
Personal introduction:
Yang Yang, associate professor, doctoral supervisor, and director of the Artificial Intelligence Department of the College of Computer Science and Technology, Zhejiang University. In 2016, he graduated from the Department of Computer Science at Tsinghua University, where he was supervised by Professor Jie Tang and Professor Juanzi Li. He has won honors such as the Excellent Doctoral Dissertation Nomination Award of the Chinese Electronics Society, the Outstanding Doctoral Thesis of Tsinghua University, and the Outstanding Doctoral Graduate of Beijing. In 2012, he visited Cornell University in the United States and collaborated with Turing Award winner Professor John Hopcroft. In 2013, he visited the University of Leuven in Belgium and collaborated with Professor Marie-Francine Moens. His research interests include artificial intelligence, machine learning, data mining, and specific areas such as network representation learning, anomaly detection, user behavior modeling, and city population migration calculation. He has published more than 30 papers in top international academic conferences and journals such as KDD, WWW, AAAI, TKDE, and TOIS. He serves as a member of the program committees for international academic conferences such as AAAI, WSDM, KDD, WWW, and CIKM.