• 2024-05-28 Tuesday

The second International Conference on Artificial Intelligence (CICAI 2022) five theme workshops (Tutorial) free registration.


Affected by the epidemic, the 2nd International Conference on Artificial Intelligence (CICAI 2022) will be postponed to August 27th to 28th , 2022 in Yanqi Hotel, Beijing, China. We sincerely invite colleagues from academia and industry to contribute and share new achievements around the cutting-edge theory and applications of artificial intelligence. 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.

On August 27th, the conference will set up a tutorial with five themes: Graph machine learning, AI digital human, Human-computer Interaction and Robot, and Natural Language Intelligence, Art and Artificial Intelligence. Speakers include experts and scholars in the field of artificial intelligence from well-known universities and enterprises such as Tsinghua University, Institute of Automation, Chinese Academy of Sciences, Central Conservatory of Music, China Mobile Research Institute, UIUC University, UCLA University, University of Virginia, University Rochester USA, University of British Columbia, Swiss Federal Institute of Technology (ETH), and USA InterDigital. Registration for this tutorial is free and the number of places is limited. Papers received by the conference can directly participate in the tutorial.

The Organizing Committee of the conference will provide transportation guarantee and a comprehensive achievement display and exchange platform for participants. 

You are welcome to make valuable comments and suggestions( cicai@caai.cn ).



https://cicai.caai.cn/2022  (Click "Read the original article" at the bottom of the article to go to the official website)


Registration Website:



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


Reports :


Speakers: Liao Renjie, assistant professor, University of British Columbia 

Topic: Generalization bounds of graph neural networks



Speaker: Tian Dong, Senior Principal Engineer at InterDigital, U.S.

Topic: The concept and application in the processing of point cloud


Speaker: Chen Siheng, associate professor, Shanghai jiaotong university 

Topic: Graph learning method for group intelligence


Speaker: Shi chuan, professor, Beijing university of posts and telecommunications 

topic: Advances in heterogeneous graph neural networks



Speaker: Gao yue, associate professor, Tsinghua University 

Topic: hypergraph calculation: methods and practices


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




Speaker: liu Yebin, associate professor, Tsinghua University 

Topic: Towards AI digital people


Speaker: Zhou Xiaowei, researcher, Zhejiang University

Topic: Learning from single image to reconstruct the 3D Clothing


Speaker: Zhang Juyong, professor, China university of science and technology 

Topic: Human Modeling and Animating based on monocular camera


Speaker: Han xiaoguang, assistant professor, Chinese university of Hong Kong (shenzhen) 

Topic: the dynamic 3 d reconstruction of human body based on sparse camera



Speaker: Tang Siyu, assistant professor, Federal institute of technology (ETH) in Zurich 

Topic: living in the virtual world


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




Speaker: Fang bin, Assistant researcher, Tsinghua University

Topic: Human Robot Interaction for Dexterous Operation


Speaker: Wang Yuntao, Assistant researcher, Tsinghua University

Topic: Physiological Perception Technology Based on Intelligent Devices


Speaker: Huang Yun, Assistant professor, University of Illinois at Urbana Champaign (UIUC)

Topic: Design of Conversational AI Design for Human-human Interaction


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.


Chairman: Yan Rui, associate professor, Renmin University of China




Speaker: Qiu Xipeng, Professor, Fudan University

Topic: Efficient Natural Language Processing


Speaker: Feng Junlan, Chief scientist, China Mobile Research Institute

Topic: Man-machine Interaction Technology: the Accompanying Road of Industry and Academia


Speaker: Wang Hongning, Associate professor,University of Virginia

Topic: Comparative Explanation in Recommendation


Speaker: Peng Nanyun,Assistant professor,University of California Los Angeles (UCLA)

Topic: Controllable Text Generation Beyond Autoregressive Model


Tutorial topic 5: Art and Artificial Intelligence

The core of art and artificial intelligence is the cultivation of "creativity" of computer, which assumes that computer is constructed as the main body of artistic creation - artist. Artistic creation activities reflect the unique complexity and creativity of mankind. Whether the use of machines can assist or independently create art has become a milestone challenge in the field of art and artificial intelligence. This tutorial invites scholars from the University of Rochester, the Central Conservatory of Music, Tsinghua University, Beijing University of Aeronautics and Astronautics and the Institute of Automation of the Chinese Academy of Sciences to introduce the application of computer technology in music, design and brain science from the theory and application of artificial intelligence in the field of art, and explore the creativity of computer.


Chairman: Li Zijin, Professor, Central Conservatory of Music




Speaker: Dong Weiming,Researcher,Institute of Automation,Chinese Academy of Sciences

Topic: Image Style Transfer



Speaker: Duan Zhiyao,Associate professor,University of Rochester

Topic: Historical Overview of Interactive Music System


Speaker: Wang Yi, Lecturer,Beijing University of Aeronautics and Astronautics/ Tsinghua University

Topic: Responsible Design Innovation in the Digital Age


Speaker: Ludi,Researcher,Central Conservatory of Music

Topic: Implementation of Pop Song Automatic Composition System

Chinese Association for Artificial Intelligence

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