The 4th Chinese Congress on Artificial Intelligence (CCAI2018) which was led by Chinese Association for Artificial Intelligence (CAAI), was held on July 28-29, 2018, in Shenzhen, China. As the largest official AI conference in China, CCAI has been held annually to promote the advancement of artificial intelligence globally. I attended the Congress and summarized it for sharing AI trend to all quality professionals.
During the congress, I met the Prof. Tie-niu Tan (谭铁牛) (Vice President of CAAI; Academician of CAS) and we took a photo for memory.
I also met Prof. KF Wong (黃錦輝) (Associate Dean (External Affairs), Faculty of Engineering, CUHK; Professor, SEEM Dept., CUHK) and we are both technical committee members in different discipline of CAAI. He appointed in the First Batch of Natural Language Processing Experts of CAAI. And I am Extenics Society committee members of CAAI since 2017.
Day 2 (29 July 2018):In the beginning of the congress, Prof. Chengqing Zong (宗成庆) (Professor of CASIA) chair the morning reporting session.
Prof. Jiawei Han (韩家炜) (Abel Bliss Professor of UIUC; ACM/IEEE Fellow) was the first speaker and his presentation topic entitled “Mining Structures from Massive Text Data: A Cross Point of Data Mining, Machine Learning and Natural Language Processing”. Prof. Han said over 80% of our data is from text/natural language/social media, unstructured/semi-structured, noisy, dynamic, but inter-related! So that Prof. Han’s research roadmaps are “Mining hidden structures from text data”, “Turning text data into multidimensional text-cubes and typed networks” and “Mining cubes and networks to generate actionable knowledge”.