Xiaopeng Fan

Harbin Institute of Technology, China

Prof. Xiaopeng Fan is a Second-Level Professor and Doctoral Supervisor at the Faculty of Computing, Harbin Institute of Technology (HIT), where he also serves as the Director of the Intelligent Interface and Human-Computer Interaction Research Center. He is a recipient of the National High-Level Talent Program. He received his Ph.D. from the Hong Kong University of Science and Technology in 2009. His research interests include graphics and image processing, human-computer interaction, digital twins, and embodied intelligence. He served as an Associate Editor for the IEEE 1857 video coding international standard. He has published over 240 papers in top-tier journals and conferences such as IEEE TIP, CVPR, and AAAI. He has led more than 10 national-level projects, including the National Key Research and Development Program of China. He has received the IEEE Standard Outstanding Contribution Award and the China Electronic Information Science and Technology Innovation Team Award. He is an IEEE Senior Member and serves as the Deputy Director of the Education Working Committee of the Chinese Association for Artificial Intelligence.

Title: Research on 3D Perception Modeling and Embodied Intelligence for General Tasks

Abstract:3D perception modeling and general-purpose embodied intelligence play an important role in robotics research and applications. 3D perception modeling for robots aims to understand surrounding environments and objects from images captured from local viewpoints and to construct digital twins for simulation and scenario analysis. Embodied intelligence, meanwhile, focuses on developing intelligent agents capable of real-time interaction with the physical world and autonomous learning. This presentation will focus on key technologies in 3D perception modeling and embodied intelligence, including depth-camera-based 3D modeling, image-based 3D semantic perception modeling, and approaches to effectively balancing and integrating prior information, commonsense knowledge, and task-agnostic learning methods for general-task learning. It will also examine key challenges in the generation and acquisition of high-quality data, as well as the important role of digital-twin simulation environments in training and validation. Finally, applications of embodied intelligence on real-world robotic platforms, including robotic guide dogs and library robots, will be introduced, followed by a discussion of open research questions and future directions in the field.

Prof. Bin Liu

Dalian University of Technology, China

Prof. Bin Liu is a professor at Dalian University of Technology, a doctoral supervisor, a visiting professor at Dalian University Affiliated Hospital, a member of the Higher Education Committee of the Ministry of Education, the director and technical leader of the Key Laboratory of Medical Simulation Technology in Liaoning Province, a standing committee member of the Chinese Research Hospital Society's Neuroregeneration and Repair Professional Committee, a member of the 3D Printing Technology Branch of the Chinese Biomedical Technology Association, a standing committee member of the Liaoning Anti-Cancer Association, a branch committee member of the Liaoning Anti-Cancer Association, the deputy director of the Bone Tumor and Cell Biology Research Special Committee of the Liaoning Cell Biology Society, the deputy director of the Digital Medicine Special Committee of the Liaoning Cell Biology Society, and the standing director of the Advanced Medical-Engineering Integration Technology Special Committee of the Liaoning Cell Biology Society. His main research fields include computer vision and graphics, intelligent medical image processing and analysis, and computer-assisted three-dimensional preoperative planning and simulation. He has led 1 key national research and development project of the Ministry of Science and Technology under the "14th Five-Year Plan", 4 national natural science foundation projects, and over 20 provincial and ministerial-level, and commissioned projects. He has published over 70 international journal papers as the first author or corresponding author, and has been granted over 30 national invention patents as the first complete person, and over 40 software copyrights. He serves as the deputy editor of the international journal <Journal of Imaging Science and Technology>, a member of the editorial board of the official journal of the International Clinical Robotic Surgery Association <The International Journal of Medical Robotics and Computer Assisted Surgery>, and serves as an expert for the review of key national natural science foundation projects, special projects, common projects, and young projects, as well as a talent special project review expert of the Ministry of Science and Technology.

Title: Mesh Model Registration via Deep Mapping by Local Projection for Optical Scanning-Based Reverse Engineering

Abstract:For mesh model obtained by optical scanning in reverse engineering, sub models registration to be the complete model is a key step. However, currently widely used registration methods may need well initial position condition. Moreover, in some common adverse conditions (e.g. with large angle differences, with incomplete common parts), they cannot achieve registration for sub models. We solve these issues from a direct matching viewpoint and present a robust and straightforward learning based registration method for 3D mesh models with any initial position conditions. Comparing with other classic methods, it not only can achieve registration with any initial angle difference, but also can complete registration with inclusion relation and common parts.

Prof. Li Sun

Harbin Institute of Technology, China

Prof. Li Sun is a Professor and Doctoral Supervisor at the School of Electrical Engineering and Automation, Harbin Institute of Technology, China. Vice Chair of the IEEE PES Energy Storage Systems and Equipment Subcommittee. Chief Expert of the Expert Committee of the Jiangnan Shipyard-HIT Joint Laboratory for Ship Electrical Engineering. Recipient of 1 Second Prize of the National Science and Technology Progress Award, 1 First Prize of the Science and Technology Progress Award of the China Aerospace Industry Corporation, and 3 Second Prizes of Science and Technology Progress Awards. His main research interests: (1) Power control of energy storage and microgrids; (2) Special power supply technology;(3) Research and application of EMC technology for electrical systems.

Title: Study on Stability Technology for Ship Integrated Power System Subjected to Impact Load Disturbances

Abstract:The IPS represents a unified architecture of power systems composed of generation unite, power net and loads for modern ships. Power matching between sources and loads is the key technology to guarantee the reliable operation of ship power net. Analyzing the disturbance mechanism of impact loads on power net and approaches against impact load disturbances have become a research hotspot for stabilization technologies of ship ISP , which carries great theoretical significance and engineering application value.

Prof. Yong Liu

Heilongjiang University, China

Prof. Yong Liu is a Professor and Ph.D. Supervisor, Vice Dean of the School of Computer and Big Data at Heilongjiang University. Senior Member of the China Computer Federation and ACM Member. Executive Council Member of the Heilongjiang Computer Society.

In 2010, he earned a Ph.D. in Computer Software and Theory from Harbin Institute of Technology. He has led and completed 12 scientific research projects, including those funded by the National Natural Science Foundation of China, provincial natural science funds, and corporate collaborative projects. As the first author and corresponding author, he has published over 60 papers in prestigious CCF A/B journals and conferences such as IEEE TKDE, TNNLS, ICDE,AAAI, IJCAI, SIGIR, MM, Journal of Computer Science, and Journal of Software. His work has been cited over 2,000 times on Google Scholar, with an h-index of 19. He has received one Second Prize for Natural Science in Heilongjiang Province and two Second Prizes for Science and Technology in Provincial Universities. He authored one academic monograph and secured five national invention patents as the first inventor. He has supervised over 60 master's students, three of whom won the Sa Shixuan Outstanding Thesis Award in China's database field, and nine pursued doctoral studies after graduation. The AI-based calligraphy scoring system he developed has been used by over 300,000 students and parents since its launch in March 2019, generating significant economic and social benefits for enterprises.

Title: Research progress and challenges for detecting rumor

Abstract:The prosperity of social media has led to the rapid spread of rumors in the digital world, like an invisible plague quietly invading public opinion. The spread of rumors may trigger multiple threats such as social panic and economic losses, especially when major events occur, which can cause enormous harm to society. Therefore, in order to alleviate these adverse effects, researchers have proposed numerous rumor detection methods. This report categorizes current rumor detection methods into the following six types: (1) text-based rumor detection methods; (2) Rumor detection method based on propagation structure; (3) Multi modal rumor detection method; (4) Rumor detection method for short videos; (5) Rumor detection method based on evidence retrieval; (6) Rumor detection method based on large models. This report combines research results in this field with its own research content to provide the core ideas and challenges of each method.

Prof. Juin J. Liou

Shandong University of Science and Technology, China

Juin J. Liou received the B.S. (honors), M.S., and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville, Florida, USA in 1982, 1983, and 1987, respectively. In 1987, he joined the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), Orlando, Florida where he held the positions of Pegasus Distinguished Professor, Lockheed Martin St. Laurent Professor, and UCF-Analog Devices Fellow. Dr. Liou is currently a chair professor at Shandong University of Science and Technology, China. Dr. Liou’s research is focused on reliability of current and emerging semiconductor technologies.

Dr. Liou holds 30 patents and has published 13 books, more than 380 journal papers (including 25 invited review articles), and more than 300 papers (including more than 150 keynote and invited papers) in international and national conference proceedings. Dr. Liou has served as a technical reviewer for various journals and publishers, general chair or technical program chair for a large number of international conferences, regional editor (in USA, Canada and South America) of the Microelectronics Reliability journal, and guest editor of 7 special issues in the IEEE Journal of Emerging and Selected Topics in Circuits and Systems, Microelectronics Reliability, Solid-State Electronics, World Scientific Journal, and International Journal of Antennas and Propagation.

Dr. Liou received ten different awards on excellence in teaching and research from the University of Central Florida (UCF) and six different awards from the IEEE. Among them, he was awarded the UCF Pegasus Distinguished Professor (2009) – the highest honor bestowed to a faculty member at UCF, UCF Distinguished Researcher Award, IEEE Joseph M. Biedenbach Outstanding Engineering Educator Award in 2004 for exemplary engineering teaching, research, and international collaboration, and IEEE Electron Devices Society Education Award in 2014 for promoting and inspiring global education and learning in the field of electron devices. His other honors are Fellow of IEEE, Fellow of IET, Fellow of AAIA, Fellow of Singapore Institute of Manufacturing Technology, Fellow of UCF-Analog Devices, Distinguished Lecturer of IEEE Electron Device Society (EDS), and Distinguished Lecturer of National Science Council. He holds several honorary professorships, including the Chang Jiang Scholar Endowed Professor – the highest honorary professorship in China.

Dr. Liou had served as the IEEE EDS Vice-President of Regions/Chapters, IEEE EDS Treasurer, IEEE EDS Finance Committee Chair, Member of IEEE EDS Board of Governors, and Member of IEEE EDS Educational Activities Committee.

Title: Evolution, Trends, and Applications of Nanoelectronics in the Era of AI and Data Transformation

Abstract:The industry of semiconductor is highly vital to the global economy, and nanoelectronics is a key component for such an industry. While research and development of nanoelectronics has been very active and fruitful in the past 40 years, many new semiconductor technologies have emerged recently which make the field of nanoelectronics vibrant, evolving, challenging, and unpredictable in the foreseeable future. Moreover, nanoelectronics has become a vital backbone in supporting the recent fast and explosive development of artificial intelligence and big data processing.

This talk has two parts, and it offers helpful information from the semiconductor industry perspective. An overview of the current status, evolution, and outlook of the field of nanoelectronics will first be introduced in this talk. This is followed by discussions of applications and reliability issues of nanoelectronics in relevance to AI and data transformation using current and emerging semiconductor technologies.