The 5th China Intelligent Robotics Academic Annual Conference will be held in Dalian, Liaoning Province from September 20 to 22, 2024.
CIRAC 2024 Preview - Affective Computing for Robots
September 20-22, 2024
The 5th China Intelligent Robot Academic Annual Conference will be held in Dalian, Liaoning Province from September 20 to 22, 2024, the China Intelligent Robot Academic Annual Conference is an international academic conference in the field of intelligent robots, and this year will be held concurrently with the "2024 National Underwater Robot Competition and Artificial Intelligence and Underwater Robot Summit Forum" hosted by the National Natural Science Foundation of China, with the theme of "Intelligent Robots and Large Models Empowering New Quality Productivity". The conference will focus on the cutting-edge technology and application of sea, land, air, space and industrial robots, especially underwater robots.
The conference will invite academicians such as He You, Academician Yu Haibin, Academician Zhang Jianwei and other academicians and well-known experts and scholars to make special reports, and organize special reports, group reports, excellent paper displays, robot exhibitions, enterprise displays and other forms of exchanges, participating academicians, Yangtze River, outstanding young people and other national talents about 100 people, the total number of participants is about 1000 people, through the convergence of experts, scholars, technical personnel and industry people, in-depth strategic discussions and technical display exchanges, Jointly promote the ecological development of China's intelligent robot technology Welcome experts, scholars, scientific and technological workers and students to participate in the conference! Please pay attention to the conference website:
https://conf.ccf.org.cn/cirac2024
Detailed schedule of the meeting
21 September 2024 (Saturday)
| Time | schedule |
| 08:30-09:00 | Opening Ceremony & Group Photo |
| 09:00-09:30 | Academician He You, Research on Artificial Intelligence Security Issues |
| 09:30-10:00 | Academician Yu Haibin, New Industrial Revolution and Intelligent Robots |
| 10:00-10:30 | Academician Zhang Jianwei: Improving the multi-modal model of the robot system |
| 10:30-11:00 | Tea break |
| 11:00-11:30 | Prof. Yunhui Liu: Vision-Driven Robotics: The Core Challenges of Robotics |
| 11:30-12:00 | Prof. Sun Lining: Interdisciplinarity promotes the innovation and development of intelligent robots |
| 12:00-12:30 | Prof. Hu Dewen: Application of Computer Geometric Vision in Autonomous Navigation of Robots |
| 12:30-13:30 | lunch |
| 13:00-14:00 | Poster Exhibition |
| 14:00-17:30 | Panel Discussion: Embodied Intelligence and 3D Interaction Chairman: Shi Xuesong (Head of Algorithm Engineering, Galaxy General Robot) Wang Xinnian (Professor, Dalian Maritime University) Secretary: Ma Jitong (Associate Professor, Dalian Maritime University) l Exploration of the basic model of robot operation (Kong Tao, Director of Robot Research, ByteDance Research Department) l Embodied tactile perception and interactive operation (Fang Bin, Professor of "Top Talents" of Beijing University of Posts and Telecommunications) l Embodied intelligence and three-dimensional interaction empower intelligent transportation (Jin Yi, Professor, Beijing Jiaotong University) l Generative Simulation Unleashes Infinite Inspiration for Embodied Intelligence (Zhao Hao, Assistant Professor, Institute of Intelligent Industry, Tsinghua University) l The road of embodied intelligence from "specialized" to "general" (Zhang Zhizheng, partner of Beijing Galaxy General Robot Co., Ltd.) l Gold Sponsorship Sub-forum Presentation (Toutiao, Galaxy General Robot, Leju Robot) |
| 14:00-17:30 | Panel Discussion: Special Robots Chairman: Wang Jun (Vice Dean and Professor, Research Institute, China University of Mining and Technology) Fan Xin (Professor, Dalian University of Technology) Secretary: Zhang Weiwei (Associate Professor, Dalian Maritime University) l Research and application of key technologies of unmanned logistics for industrial parks (Yang Ming, Distinguished Professor, Shanghai Jiao Tong University) l Practice and Thinking of Mining Robots (Wang Lei, Deputy General Manager of China Coal Science and Industry Robot Technology Co., Ltd.) l Robust Visual Intelligent Perception for Harsh Imaging Environments (Li Bing, Researcher, National Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences) l R&D and Application of Robots in Traditional Industries (Gao Guohua, Dean, School of Mechanical and Energy Engineering, Beijing University of Technology) l Theoretical Methods and Applications of Cluster Analysis (Liu Xinwang, Professor, School of Computer Science, National University of Defense Technology) l Research on Key Technologies of Humanoid Robots under Embodied Intelligence (Zhu Qiuguo, Associate Professor, School of Control, Zhejiang University) l Gold Sponsorship Sub-forum (Huawei Ascend) |
| 14:00-17:30 | Panel Discussion: Intelligent Robots and Multimodal Perception Chair: An San (Associate Professor, Tianjin University) Zeng Ming (Associate Professor, Tianjin University) Secretary: Yao Xiaonan (Dalian Maritime University) l Embodied Visual Perception and Learning (Zheng Weishi, Professor/Vice Dean of Sun Yat-sen University) l Multi-source and multi-modal feature fusion and multi-task collaborative optimization (Junying Chen, Professor, Ph.D. supervisor, South China University of Technology) l Robust perception technology of unmanned systems for challenging scenarios (Founder Northeastern University, Professor, Ph.D. supervisor) l Edge Intelligent Visual Perception and Its Typical Engineering Applications (Changhong Fu, Associate Professor, Doctoral Supervisor, Tongji University) l Exploration and Progress from Humanoid Visual Perception to Robot Learning (Song Ran, Professor, Ph.D. Supervisor, Shandong University) |
| 14:00-17:30 | Panel Discussion: Cognitive Robotics and Evolutionary Learning Chair: Lu Huimin (Chief Professor, School of Automation, Southeast University) Hu Dewen (Professor, School of Intelligent Science, National University of Defense Technology) Secretary: Sun Lu (Associate Professor, Dalian Maritime University) l Evolutionary and Developmental Robotics: Opportunities and Challenges (Yaochu Jin, Chair Professor, Westlake University) l Prediction and Coordination Control Method and Application of Automobile Motion under Extreme Working Conditions (Hu Yunfeng, Professor, Jilin University) l Exploration of visual object tracking method for mobile robots (Wang Dong, Professor, Dalian University of Technology) l Research on human-machine-object interaction technology for flexible object grasping (Gao Yixing, Researcher, School of Artificial Intelligence, Jilin University) l Environmental Intelligent Perception of Industrial Collaborative Robots (Lu Huimin, Chief Professor, School of Automation, Southeast University) |
| 14:00-17:30 | Panel Discussion: Underwater Intelligent Robots Chair: Zhang Fumin (Dean and Professor, Cheng Kar-Shun Institute of Robotics, The Hong Kong University of Science and Technology) Fu Xianping (Dean, School of Information Science and Technology, Dalian Maritime University) Secretary: Wang Huibing (Associate Professor, Dalian Maritime University) l New Concept Variable Structure Marine Robot Technology (Yu Jiancheng, Researcher, Shenyang Institute of Automation, Chinese Academy of Sciences) l Research Progress on Intelligent Dynamic Docking Technology for Underwater Vehicles (Xianbo Xiang, Professor, Huazhong University of Science and Technology) l Technical Challenges and Experiments of Abyssal In-situ Scientific Experiment Station (Zhang Qifeng, Deputy Director, Underwater Robot Research Office, Shenyang Institute of Automation, Chinese Academy of Sciences) l Research on visual detection and hovering control method of underwater robot (Wang Xin, Professor, School of Mechanical and Electrical Automation, Harbin Institute of Technology (Shenzhen)) l Unmanned Craft Swarm Cooperative Encirclement and Interception Control: Theory and Practice (Peng Zhouhua, Professor, Dalian Maritime University) |
| 14:00-17:30 | Forum of Selected Candidates of the Doctoral and Master's Incentive Program of the Intelligent Robot Special Committee |
| 14:00-17:30 | Oral presentation of the dissertation |
| 18:00-20:00 | The 5th China Intelligent Robot Academic Annual Conference Dinner & Award Ceremony |
22 September 2024 (Sunday)
| Time | schedule | place |
| 08:00-12:00 | Opening Ceremony of the Artificial Intelligence and Underwater Robot Summit Forum Academician Bao Weimin, Academician Fan Bangkui and other academicians gave keynote reports Award Ceremony of the Underwater Robot Competition | Theater Hall, Block B, Student Cultural Center, Dalian University of Technology |
| 12:00-14:00 | lunch | Dalian University of Technology |
| 14:00-17:30 | Panel Discussion: Large Models and General Robots Chair: Zhang Wenqiang (Researcher, School of Computer Science and Technology, Fudan University) Shi Xuesong (Head of Galaxy General Robot Algorithm Engineering) Secretary: Liu Xiaokai (Associate Professor, Dalian Maritime University) l Large Models and Robot Embodied Intelligence (Donglin Wang, Director of Artificial Intelligence, Westlake University) l Is large language models the only way to achieve AGI? (Zhang Qi, Professor, Fudan University) l Integration, Innovation and Prospect of Knowledge Enhancement Model from the Perspective of World Model (Haofen Wang, Distinguished Researcher, Tongji University) l Embodied Multimodal Large Model System for General Robots (Wang He, Assistant Professor, Center for Advanced Computing, School of Computer Science, Peking University) l Pannel Theme: Application Prospect of Robot Large Model (Peng Junjie, Professor, Shanghai University, Liu Fei, University Cooperation Director of Shanghai Keenon Intelligent Technology Co., Ltd.) | Student Activity Center 610 |
| 14:00-17:30 | Panel Discussion: Intelligent Robots and SLAM Chair: Xiaogang Song (Vice Dean, School of Computer Science and Engineering, Xi'an University of Technology) Hei Xinhong (Xi'an University of Technology, second-level professor, doctoral supervisor) Secretary: Yangyang Wang (Dalian Maritime University) l Embodied Vision and SLAM: A Path to Online Learning (Hongbin Cha, Professor, Peking University) l 3D Mapping and Positioning of Complex Dynamic Scenes (Dai Yuchao, Professor, Northwestern Polytechnical University) l Multi-robot Distributed Collaborative Planning and Control in Complex Environments (Miao Zhiqiang, Associate Professor, Hunan University) l Visual SLAM based on deep learning (Zhang Guofeng, Professor, Zhejiang University) l Challenges and opportunities of SLAM technology in general-purpose robots (Gao Xiang, Chief Technologist of Zhiyuan Robotics) | Student Activity Center 501 |
| 14:00-17:30 | Panel Discussion: Intelligent Navigation and Control of Robots in Confined Environments Chair: Yan Yan (Professor, School of Control Science and Engineering, Dalian University of Technology) Wang Jie (Professor, Dalian Maritime University) Secretary: Zhang Xinbo (Dalian Maritime University) l Application and Challenges of Special Intelligent Robots (He Yuqing, Researcher, Shenyang Institute of Automation, Chinese Academy of Sciences) l Global Consistency: To be or not to be?（王越 浙江大学教授） l Multi-robot collaborative planning and control (Zhe Liu, Associate Professor, Shanghai Jiao Tong University) l Robot Embodied Perception and Navigation (Wang Chaoqun, Professor, Shandong University) l Autonomous Exploration of Aerial Robots in Unknown Environments (Zhang Xuetao, Associate Professor, Dalian University of Technology) | Student Activity Center 308 |
| 14:00-17:30 | Panel Discussion: Affective Computing for Robots Chair: Yao Junfeng (Professor, Xiamen University) Zhao Yuliang (Distinguished Professor, Doctoral Supervisor, Northeastern University Qinhuangdao Branch) Secretary: Zhang Jiqing (Dalian Maritime University) l Agent-driven social behavior simulation (Wei Zhongyu, Associate Professor, School of Big Data, Fudan University) l Robot Emotional Ethics (Wang Jiping, Chairman of ArcherMind Technology (Nanjing) Co., Ltd.) l Perception and Cognition of Robots (Zhao Yuliang, Professor, Northeastern University Qinhuangdao Branch) l Research and Application of Cross-domain Sentiment Analysis Methods (Cai Yi, Dean of School of Software, South China University of Technology) l Multimodal Affective Computing for Dialogue Scenarios (Xia Rui, Professor, Ph.D. Supervisor, Nanjing University of Science and Technology) l Emotional Interaction Technology of Escort Robot (Liu Xiaofeng, Dean of School of Artificial Intelligence and Automation, Hohai University) | Student Activity Center 611 |
| 14:00-17:30 | Panel Discussion: Human-Machine Hybrid Intelligence in Autonomous Driving Chair: Ma Nan (Professor, Beijing University of Technology) Liu Yongjin (Tenured Professor, Department of Computer Science, Tsinghua University) Secretary: Yujia Wang (Dalian Maritime University) l Exploration and Practice of Human-in-Loop Hybrid Augmented Intelligence Technology Path (Xue Jianru, Professor, Xi'an Jiaotong University) l Multimodal Visual Structure Learning (Li Xi, Qiushi Distinguished Professor, Zhejiang University) l Global Scenario Understanding, Prediction and Control in an Open Mixed Traffic Environment (Fang Hao, Professor, Beijing Institute of Technology) l Key Technology of Autonomous Driving Simulation (Yang Zijiang, Professor, University of Science and Technology of China) l Unmanned Embodied Interactive Intelligence (Ma Nan, Professor, Beijing University of Technology) | Student Activity Center 404 |
Sub-forum: Affective Computing for Robots
Time: 14:00-17:30, September 22, 2024
Organizers:
Chair: Yao Junfeng (Professor, Xiamen University)
Zhao Yuliang (Distinguished Professor, Doctoral Supervisor, Northeastern University Qinhuangdao Branch)
Secretary: Jiqing Zhang (Dalian Maritime University)
About the Chair:
Yao Junfeng
Professor of Film School, School of Information, and Institute of Artificial Intelligence, Xiamen University
Yao Junfeng, Ph.D., Professor of Film School, School of Information, Institute of Artificial Intelligence, Xiamen University, Deputy Dean of Film Academy, Deputy Director of Key Laboratory of Digital Protection and Intelligent Processing of Non-selected Culture of Fujian and Taiwan, Ministry of Culture and Tourism, Visiting Scholar of University of Washington, United States, engaged in research on social robots, computer graphics, and digital twin technology. He is an outstanding member of the China Computer Federation and a distinguished expert of the China Federation of Returned Overseas Chinese. He has presided over and participated in 99 projects at all levels, such as the National Natural Science Foundation of China, the National Art Fund, the National Social Science Fund, the National Science and Technology Support Program, the Fujian Provincial Science and Technology Major Project, and the enterprise commission, authorized 38 national invention patents, and accepted 86 invention patents. He has published 131 academic papers, completed 10 academic works, and won one first prize and one third prize of scientific and technological progress of industry associations, and one second prize and one third prize of provincial scientific and technological progress.
Zhao Yuliang
Distinguished professor and doctoral supervisor of Northeastern University Qinhuangdao
Distinguished Professor, Doctoral Supervisor, Deputy Dean of Scientific Research, School of Control Engineering, and Head of Optoelectronic Sensing and Ubiquitous Intelligence Laboratory, Northeastern University Qinhuangdao Branch. In 2007, he graduated from the School of Mechanical Engineering, Northeastern University with a master's degree. In 2016, he graduated from the City University of Hong Kong with a Ph.D. degree in Mechanical and Biomedical Engineering. He has received the Outstanding Academic Performance Award from the City University of Hong Kong, the IEEE-NANOMED Best Conference Paper Award, and the Outstanding Postgraduate Award from the Hong Kong Medical and Healthcare Association. The third-level talents of the "333 Talent Project" in Hebei Province have published more than 100 papers, including more than 80 SCI retrievals; Cited 1300 times, h-index = 23; more than 30 invention patents; He has presided over and participated in more than 20 scientific research projects. Research Interests: Artificial Intelligence, Sensors, Internet of Things, Deep Learning, ChatGPT, AIGC.
Guest speakers
Guest introduction
Wei Zhongyu
Associate Professor, Fudan University
Zhongyu Wei is an associate professor at the School of Big Data, Fudan University, a dual-employed researcher and doctoral supervisor of the Laboratory of Intelligent Complex Systems, and the head of the Data Intelligence and Social Computing Laboratory (Fudan DISC), a Ph.D. from the University of Chinese Hong Kong, and a postdoctoral fellow at the University of Texas at Dallas United States. He served as the Deputy Secretary-General of the CIPS Affective Computing Committee, the Deputy Secretary-General of the CCF Natural Language Processing Committee, and the Deputy Director of the Executive Committee of the CIPS Youth Working Committee. His main research areas include multimodal large models and social computing, and he has published more than 100 papers, and served as the ACL 2023 Multimodal Senior Field Chair (SAC) and EMNLP 2024 Debate Mining Senior Field Chair. Representative achievements include the multi-modal multi-step inference model Volcano and the DISC-X series of vertical large models (covering four fields: medical, judicial, financial, and network governance). He has won the 2019 CIPS Social Media Processing Committee Emerging Talent Award, the 2021 Shanghai Daystar Program, and the 2022 CCF Natural Language Processing Special Committee Emerging Scholar Award.
Title: Agent-driven simulation of social behavior
Report Summary: Modeling human social behavior is a complex task that involves knowledge and methods from multiple disciplines. The traditional method involves using an agent-based model (ABM) to simulate individual interactions, and designing different rules and behaviors to simulate individual interactions, so as to simulate the entire social system. The development of Large Language Models technology has brought new opportunities to the study of human social behavior, making it possible to simulate more accurate individuals and more flexible and complex group behavior. This presentation will introduce the work of individual simulation and large-scale social movement simulation based on large models, and explore the possibilities of LLMs-driven research on human social behavior.
Wang Jiping
ArcherMind Technology (Nanjing) Co., Ltd
Wang Jiping, male, was sent to the Department of Mathematics of Peking University in 1987, went to United States for further study after graduation, obtained a master's degree in mathematics in 1993, returned to China in 1999, and served as the general manager of United States Zhitong Company in China. In 2001, Mr. Wang Jiping founded QuSoft Technology (Nanjing) Co., Ltd., which became the leading and largest mobile phone software developer in China at that time. In 2006, Mr. Wang Jiping founded ArcherMind Technology (Nanjing) Co., Ltd. as Chairman and CEO, focusing on the R&D and innovation of operating system technology, and is committed to becoming the world's leading expert in intelligent technology. In 2008, he led ArcherMind to cooperate with Huawei to release the first Android smartphone in China (the third in the world). In 2017, ArcherMind completed its IPO (stock code: 300598). In 2019, Mr. Wang Jiping jointly established UnionTech Software Technology Co., Ltd. with leading operating system manufacturers in China, with Mr. Wang Jiping as the vice chairman. Mr. Wang has also invested in and founded other high-tech companies such as Tuniu Technology (listed on NASDAQ) and Avatar Robotics. In 2011, Mr. Wang Jiping was selected into the first batch of Nanjing Science and Technology Entrepreneur Training Program, and in 2012, he was selected into the National Key Talent Project.
Title: Emotional Ethics in Robots
With the rapid development of artificial intelligence (AI) and robotics, robots have gradually penetrated into all areas of human life, from home assistants to medical surgeries to military applications, and their application scope and intelligence are constantly expanding. However, this technological advancement has also sparked a profound discussion about the emotional ethics of robots. This report aims to explore the core issues of affective ethics in robots, including whether robots should have emotions, the application of affective ethics in robot design, and its impact on society.
Zhao Yuliang
Northeastern University
Distinguished Professor, Doctoral Supervisor, Deputy Dean of Scientific Research, School of Control Engineering, and Head of Optoelectronic Sensing and Ubiquitous Intelligence Laboratory, Northeastern University Qinhuangdao Branch. In 2007, he graduated from the School of Mechanical Engineering, Northeastern University with a master's degree. In 2016, he graduated from the City University of Hong Kong with a Ph.D. degree in Mechanical and Biomedical Engineering. He has received the Outstanding Academic Performance Award from the City University of Hong Kong, the IEEE-NANOMED Best Conference Paper Award, and the Outstanding Postgraduate Award from the Hong Kong Medical and Healthcare Association. The third-level talents of the "333 Talent Project" in Hebei Province have published more than 100 papers, including more than 80 SCI retrievals; Cited 1300 times, h-index = 23; more than 30 invention patents; He has presided over and participated in more than 20 scientific research projects. Research Interests: Artificial Intelligence, Sensors, Internet of Things, Deep Learning, ChatGPT, AIGC.
Title: Methods and Applications of Predictive and Coordinated Control of Automobile Motion under Extreme Working Conditions
Abstract: Perceptual intelligence is a key technology that enables machines to have vision, hearing, touch and other perceptual capabilities that simulate human sensory systems, which simulates the processing and understanding process of various sensory information by the human brain, and realizes the perception and understanding of complex environments by machines. This provides the basis for natural human-computer interaction. Cognitive intelligence is committed to simulating and reflecting higher-level human cognitive processes, such as intentional reasoning, emotional understanding, and personality modeling. This allows machines to model and understand human psychological states and behavioral characteristics, and to make interactive feedback that meets human psychological expectations. This is the key to truly human, intelligent interactions. Starting from perceptual intelligence, we have designed and applied many sensors, especially human wearable sensors, and combined with many artificial intelligence technologies such as machine learning and deep learning. It realizes the perception and understanding of various functional parameters of the human body, and helps the robot to quantify and perceive the surrounding environment and the user's physical state. For example, the measurement of various physical parameters such as pulse, blood, and intestinal motility of the human body, and the real-time perception of physical quantities such as angle and speed in various movements of the human body, etc. As our research deepens, we are focusing more and more on the use of artificial intelligence and sensor technology to analyze human cognitive processes. At present, we have realized the correlation analysis between human movement and personality type, and the association between personality and BMI index. Based on the vaulting exercise, the relationship between the movement process and human courage is analyzed. In addition, we combined clinical data to comprehensively study the relationship between gait, personality, Parkinson's, and depression. And try to use artificial intelligence and sensor technology to quantitatively and scientifically understand people's emotions, personalities, and even the subconscious, so that robots can better understand human behavior and make more humane "predictions" of humans in interaction.
Cai Yi
South China University of Technology
Cai Yi, Dean of the School of Software, South China University of Technology, Professor, Ph.D. Supervisor; Director of the Key Laboratory of Big Data and Intelligent Robotics of the Ministry of Education. He is currently a member of the Executive Committee of the Affective Computing Committee, the Language and Knowledge Computing Committee, and the Social Media Computing Committee of the Chinese Chinese Information Processing Society. He is an outstanding member of the China Computer Federation, a member of the Standing Committee of the Natural Language Processing Committee, and an executive member of the Database Committee and the Information System Committee. He has published more than 200 papers in many top international journals and conferences, such as IEEE TKDE, IEEE TIP, IEEE TVCG, IEEE TASLP, IEEE TMM, ACL, SIGIR, AAAI, IJCAI, ACM MM, etc. He is the chairman of the APWeb-WAIM 2021 conference, the committee chair of CCAC 2024, ICEBE 2021, IEEE DSC 2020 and APWeb-WAIM 2018 program committee, and the organization chair of NLPCC 2023. He is an associate editor of IEEE TASLP and an associate editor of CMC-Computers, Materials & Continua. The relevant achievements have won many awards such as the second prize of the Science and Technology Award of the China Computer Federation, the second prize of the Science and Technology Progress Award of Guangdong Province, the silver medal of the Geneva Invention Exhibition, the first prize and the best algorithm ability award of the Big Data and Computational Intelligence Competition of the China Computer Federation, and the first prize of the China College Student Software Innovation Competition.
Title: Research and Application of Cross-domain Sentiment Analysis Methods
Report Summary: Sentiment analysis aims to deeply understand and mine human emotions and opinions, and give machines the ability to understand human emotions and attitudes. At present, mainstream deep learning-based sentiment analysis methods often rely on a large number of high-quality manual annotation training samples, but the cost of manual annotation is high. The cross-domain sentiment analysis method based on knowledge enhancement can effectively migrate sentiment knowledge from the source domain with rich annotation samples to the target domain with insufficient annotation. In addition, human beings tend to express emotions through multiple modal information, and this report will introduce some key problems, solutions, and applications in text sentiment analysis and multimodal sentiment analysis.
Xia Rui
Nanjing University of Science and Technology
Xia Rui, professor and doctoral supervisor of the School of Computer Science and Engineering, Nanjing University of Science and Technology, deputy director of the Key Laboratory of "Intelligent Processing and Application of Language Information" of the Ministry of Industry and Information Technology, director of the Chinese Society of Chinese Information, and leader of the Text Affective Computing Working Group of the Affective Computing Special Committee. He has published more than 90 papers in top journals and conferences in the fields of artificial intelligence, natural language processing and affective computing, published 1 academic monograph in Chinese and English, presided over 4 projects of the National Natural Science Foundation of China, 1 project of Jiangsu Province Outstanding Youth and Excellent Youth Project, won the second prize of the Natural Science Award of the Ministry of Education, the first prize of the Youth Innovation Award of the Qian Weichang Chinese Information Processing Award, and won the ACL Outstanding Paper Award of the top conference on natural language processing twice.
Title: Multimodal Affective Computing for Conversational Scenarios
Abstract: Affective computing is a multidisciplinary research field, and researchers in different fields have carried out research on affective computing from multiple aspects such as vision, hearing, language, and physiology. Natural language is an important carrier of human emotion, and affective computing for natural language is an important part of affective computing research. The report will introduce the problem definition and common tasks of affective computing from the perspective of natural language processing, then introduce the research hotspots and trends in this field in recent years, and finally focus on the work of the research group in the direction of multimodal and interpretable affective computing for dialogue scenarios in recent years.
Liu Xiaofeng
Hohai University
Xiaofeng Liu, Ph.D., Professor, Doctoral Supervisor, is currently the Dean of the School of Artificial Intelligence and Automation of Hohai University, the Director of the Key Laboratory of the Ministry of Education, and the Deputy Director of the Jiangsu Provincial Key Laboratory of Special Robotics. In 2019, he was appointed as an honorary professor at United Kingdom University of Manchester, and in 2012, he was selected as an outstanding young and middle-aged leader of the "Blue Project" in Jiangsu Province and one of the six talent peaks in Jiangsu Province. He is the head of the virtual teaching and research department of the Ministry of Education of the People's Republic of China, and the person in charge of the national first-class major of communication engineering. He is the vice chairman of the Science Popularization Committee of the Chinese Society of Automation, and the vice chairman of the Cognitive System and Information Processing Committee of the Chinese Society of Artificial Intelligence. His main research interests are human-computer interaction and intelligent robots, and he has successively presided over the national 2030 new generation of artificial intelligence major projects, national defense frontier innovation projects, 863 projects, the National Natural Science Foundation of China, the Natural Science Foundation of Jiangsu Province, the Jiangsu Provincial Key R&D Program and other vertical projects, and participated in the 973 project, the Jiangsu Provincial Frontier Leading Technology Foundation Project, the Jiangsu Provincial Key R&D Program, and the enterprise commissioned project. He won the Wu Wenjun Artificial Intelligence Science and Technology Award and the Shandong Provincial Technology Invention Award.
Title: Emotional Interaction Technology of Escort Robots
Report Summary: Escort robots are one of the important technologies to cope with an aging society, and are developing rapidly with the advancement of artificial intelligence. As a "new member" in the family of the future, there are various technical challenges in the current practical application. This report starts from how to establish the communication between humans and escort robots, introduces the importance of emotional interaction, how the large language model chatGPT and its related technologies will affect the emotional interaction technology of escort robots, how to enhance the privacy and security protection of users in actual use, improve the security of robot emotional interaction, and explore the future harmonious coexistence mode between humans and escort robots.
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