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. 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.

Professor Yang Qiang, academician of the Royal Academy of Sciences and the Canadian Academy of engineering, chief artificial intelligence officer of Webank and former head of the Department of computer and engineering of Hong Kong University of science and technology, will be invited to attend the CICAI 2022 and make a keynote report on "credible federal learning". Professor Tao Dacheng, President of Jingdong Exploration Research Institute, senior vice president of Jingdong group, consultant of Digital Science Research Institute of the University of Sydney, Distinguished Visiting Professor of Tsinghua University and master Chair Professor of the University of science and technology of China, will be invited to attend the CICAI 2022 and make a keynote Report around "complexity and difference: ViTAE makes machine vision fly higher".

On August 6, this conference will set up a tutorial with five themes on August 6th: Graph machine learning, AI digital human, Human-computer Interaction and Robot, and Natural Language Intelligence, Art and Artificial Intelligence, chaired by Hu Wei, Liu Yibin, Yi Xin Yan Rui, and Li Zijin respectively. 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. 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.

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 more valuable comments and suggestions（ cicai@caai.cn ）.

Homepage：

https://cicai.caai.cn/2022

https://cicai.caai.cn/2022/#/registration

Registration Website：

https://cicai.caai.cn/2022/#/registration

Scan to register

Submission Website:

https://cmt3.research.microsoft.com/CICAI2022/

Submission Deadline：

May 31, 2022

Notes for paper submission

CICAI2022 submissions shall be original papers, written in English, single column typesetting, with a length of no more than 10 pages (text) + 2 pages (references). This conference will adopt a double-blind manuscript review mechanism, and the accepted papers will be published by Springer press and included by EI. Some excellent papers will be invited to be published in special SCI journals such as science of China (English version), Journal of Tsinghua University (English version), Journal of computer science and technology. The conference will also award the best paper, the best student paper and the best poster paper.

Instructions for presentation submission

The submission of CICAI2022 presentation paper requires original paper, written in English, single column typesetting, with length of no more than 4 pages (text) + 2 pages (references), brief video introduction (no more than 5 minutes, uploaded in the form of supplementary materials in the submission system). This presentation will be submitted through a single blind review mechanism. The accepted demonstration papers will be included in the paper collection of this meeting, published by Springer press and included by EI. At least one author is required to attend the meeting and give a live presentation at the meeting. The conference set up the best presentation award to encourage presentation papers with good originality and practicability.

Recommended fields of papers and presentation papers (not limited to)

● Brain inspired AI

● Optimization

● Machine learning

● Multi-agent system

● Computer vision

● AI and human

● Natural language processing

● Knowledge representation and reasoning

● Interpretability, comprehensibility and verifiability of artificial intelligence

● Data mining

● Artificial intelligence and other fields of crossover research

● Robot science and technology

● AI applications

● AI ethics, privacy, fairness and security

● Other AI related topics

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.

Chairman:

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.

Chairman:

Liu Yebin, Associate professor, Tsinghua University

Reports

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 

subject: 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.

Chairman:

Yi Xin, Assistant professor, Tsinghua University

Reports

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 DevicesD

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

Reports

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

Reports

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