Sponsored by CAAI, the 2nd CAAI International Conference on Artificial Intelligence (CICAI 2022) will be held in Yanqi lake, Beijing, China, from August 6th to 7th, 2022. Now we sincerely invite colleagues from academia and industry to contribute and share new achievements around the cutting-edge theory and applications of artificial intelligence. Some excellent papers will be recommended for publication in SCI journals such as Science of China (English version), Journal of Tsinghua University (English version), Journal of Computer Science and Technology. The conference also has a presentation paper solicitation to encourage on-site demonstration and exchange of new technological achievements. The conference will also award the best paper, the best student paper, the best poster and the best demo.
In particular, this session will set up a tutorial with four themes on August 6th: Graph machine learning, AI digital human, Human-computer Interaction and Robot, and Natural Language Intelligence, chaired by Hu Wei, Liu Yibin, Yi Xin and Yan Rui respectively. Speakers include experts and scholars in the field of artificial intelligence from well-known universities and enterprises such as Tsinghua University, Peking University, UIUC University, UCLA University, University of Virginia, University of British Columbia, Swiss Federal Institute of Technology (ETH), China Mobile Research Institute and InterDigital. We sincerely invite colleagues from academia and industry to gather in the beautiful Yanqi Lake in Beijing and write a beautiful chapter of artificial intelligence. Registration for this tutorial workshop is free and the number of places is limited. Please pay attention to the notice on the homepage of the conference.
Submission Deadline：May 31, 2022
Tutorial topic 1: Graph Machine Learning
Graph machine learning extends the classical convolutional neural network model to the non-Euclidean domain. It has a wide range of applications in various fields, including brain science, network analysis, computer vision, computer graphics, particle physics and chemistry and intelligent medicine. It has become a research hotspot in the world and the frontier technology of the development of artificial intelligence. This topic tutorial invites top scholars from interdigital, University of British Columbia, Tsinghua University, Peking University, Shanghai Jiaotong University and Beijing University of Posts and Telecommunications to introduce graph machine learning in simple terms from basic theory to cutting-edge application, and provide some interpretability for graph machine learning based on graph spectrum theory, and to further consider special graph models such as heterogeneous graph and hypergraph.
Hu Wei, Assistant professor, Peking University
-Hu Wei, Assistant professor, Peking University
-Tian Dong, Senior Principal Engineer at InterDigital, U.S
-Chen Siheng, Associate professor, Shanghai Jiaotong University
-Liao Renjie, Assistant professor, University of British Columbia
-Shi Chuan, Professor, Beijing University of Posts and Telecommunications
-Gao Yue, Associate professor, Tsinghua University
Tutorial topic 2: AI Digital Man
AI digital human is the interactive medium between human and artificial intelligence in the future. It is the core content of holographic remote interactive communication and the infrastructure of constructing the meta universe. Focusing on the cutting-edge technology development of AI digital human, this tutorial invites scholars from Tsinghua University, Zhejiang University, University of Science and Technology of China, Chinese University of Hong Kong (Shenzhen) and Federal Institute of Technology in Zurich, Switzerland to talk about the three-dimensional representation, motion capture, apparent reconstruction, neural rendering, multimodal intelligence and other contents of AI digital human from theory to practical application. This tutorial will show the development context and important future applications of AI technology in the field of digital human.
Liu Yebin, Associate professor, Tsinghua University
-Liu Yebin, Associate professor, Tsinghua University
-Zhou Xiaowei, Researcher, Zhejiang University
-Zhang Juyong, Professor, University of Science and Technology of China
-Han Xiaoguang, Assistant professor, Chinese University of Hong Kong (Shenzhen)
-Tang Siyu, Assistant professor, Swiss Federal Institute of Technology (ETH)
Tutorial topic 3: Human Computer Interaction and Robot
Human computer interaction and robot pay attention to the information exchange process between human and terminal devices, robots and intelligent agents. With the rapid development of new interactive application scenarios such as metauniverse and pervasive computing, it has had a wide range of influence and changes in intelligent medical treatment, wearable computing, human-computer collaboration and intelligent interaction. It is a research hotspot with the characteristics of both academic and application frontiers. This topic tutorial invites top scholars from UIUC and Tsinghua University to introduce human-computer interaction and intelligent perception in robots, robot interaction and human-oriented AI dialogue technology in simple terms from basic theories, research methods to cutting-edge applications.
Yi Xin, Assistant professor, Tsinghua University
-Fang bin, Assistant researcher, Tsinghua University
-Wang Yuntao, Assistant researcher, Tsinghua University
-Huang Yun, Assistant professor, University of Illinois at Urbana Champaign (UIUC)
Tutorial topic 4: Natural Language Intelligence
Natural language processing is one of the core foundations of artificial intelligence technology blueprint. With the rapid development of natural language processing technology in recent years, the vision of communication and interaction between natural language and machine system gradually carries people's better expectations. Focusing on the development of cutting-edge technologies of natural language intelligence, this tutorial invites scholars from Fudan University, China Mobile Research Institute, University of Virginia and University of California Los Angeles to talk about the cutting-edge research and core technologies of natural language intelligence from theory to practice, and show the potential application and development planning of natural language intelligence.
Yan Rui, associate professor, Renmin University of China
-Qiu Xipeng, Professor, Fudan University
-Feng Junlan, Chief scientist, China Mobile Research Institute
-Wang Hongning, Associate professor, University of Virginia
-Peng Nanyun, Assistant professor, University of California Los Angeles (UCLA)