Keynote Speakers
Assoc. Zhihan Lv
Uppsala University, Sweden
BIO: Dr. Zhihan Lv is a Senior Member of IEEE, BCS Fellow, ACM Distinguished Speaker, 5 times in Stanford Lifetime Scientific Impact Ranking of the top 2% of scientists in the world, Elsevier Highly Cited Scholar in China, and CoreVision Highly Cited Scientist in the Globe. D. degree from Ocean University of China and University of Paris, France. He has worked as a R&D engineer at CNRS, a postdoctoral fellow at University of Umeå, Sweden, a senior researcher at FIVAN Foundation, Spain, a postdoctoral fellow at University College London, UK, a postdoctoral fellow at University of Barcelona, Spain, and an assistant researcher at Shenzhen Institutes of Advancement (SIAS), Chinese Academy of Sciences (CAS). He was awarded the title of EU Marie Curie Scholar. He has published more than 200 high quality papers, including 80 papers in the first region of Chinese Academy of Sciences, and 100 papers in the top computer journals IEEE/ACM Transactions, including more than 40 highly cited papers in ESI and 20 hot papers in ESI. Authorized two patents. He has received more than 20 domestic and international awards. He has served as editor of more than 30 high-level journals (including editor-in-chief, field editor, associate editor, and chief guest editor), including five journals of Chinese Academy of Sciences (CAS) and 10 IEEE journals. He has published more than 200 high quality papers, including 80 papers in the first region of Chinese Academy of Sciences, and 100 papers in the top computer journals IEEE/ACM Transactions, including more than 40 highly cited papers in ESI and 20 hot papers in ESI. Authorized two patents. He has received more than 20 domestic and international awards. He has served as editor of more than 30 high-level journals (including editor-in-chief, field editor, associate editor, and chief guest editor), including five journals of Chinese Academy of Sciences (CAS) and 10 IEEE journals. He has served as vice-chair or TPC member of more than 30 conferences, including two CCF A, one CCF B and one CCF C conferences. He is the founding editor-in-chief of the journal Internet of Things and Cyber-Physical Systems, published by KeAi Press. He has given more than 80 invited lectures for leading universities and companies in Europe, America and Asia, and 20 keynote lectures for international conferences. He has supervised graduate students to win more than 20 awards, including the first prize of China University Computer Competition. The main research interests are Metaverse, Digital Twins, Virtual Reality, Internet of Things, Blockchain, Serious Game, Artificial Intelligence.
Prof. Xiangjie Kong
Zhejiang University of Technology, China
BIO: Dr. Xiangjie Kong is currently a Full Professor and Associate Academic Dean with the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), Hangzhou, China. Previously, he was an Associate Professor with the School of Software, Dalian University of Technology (DUT), Dalian, China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 200 scientific papers in international journals and conferences including IEEE TKDE, IEEE TMC, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOTJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 18 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 50 and i10-index of 120, and a total of more than 8100 citations to his work according to Google Scholar. He is named in the2019-2021 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as a Keynote Speaker at 5 international conferences, and has delivered a number of Invited Talks at international conferences and various universities worldwide.
Title: Spatio-Temporal Graph Learning based Urban Big Data Analysis and Applications
Abstract: A modern city is a ternary space that contains the physical world, human society, and information space. Urban big data is the foundation of urban travel intelligence. Based on urban big data, the accurate description of travel information in cities is the premise of forecasting/warning and decision-making assistance. Spatio-temporal graph learning having been extensively used in urban travel profilling in recent years, proves effective for many tasks in real-world applications, such as regression, classification, clustering, matching, and ranking. Spatio-temporal graph learning brings new idea to solve the challenges for smart transportation, improve the efficiency of urban resource utilization, optimize urban management and services, and improve residents' lives quality towards smart cities. This report will explore the research frontiers of spatio-temporal graph learning-based urban travel profiling, traffic data mining and analysis and its application in intelligent transportation systems, and introduce some related work.
Prof. Han Huang
South China University of Technology, China
BIO: Dr. Huang is a professor and doctoral supervisor of the School of Software Engineering at South China University of Technology. He is currently serving as an associate editor ofIEEE Transactions on Evolutionary Computation (IF: 14.3),Complex & Intelligent Systems(IF: 5.8) andIEEE Transactions on Emerging Topics in Computational Intelligence (IF: 5.3), and Director of Teaching Steering Committee for Software Engineering of Undergraduate Colleges and Universities in Guangdong Province. Prof. Huang has made great contributions to the scholarship on the theories and application of intelligent optimization algorithms. For example, he has proposed a time complexity analysis method of real-world evolutionary algorithms, algorithms for efficient and accurate image matting, a method for automated test case generation based on path coverage, etc. Prof. Huang has hosted more than twenty national and provincial projects. He has published two books,Theory and Practice of Intelligent algorithm andTheory, Methods and Tools for Time Complexity Analysis of Evolutionary Algorithm. He has also published more than 80 papers inIEEE TCYB,IEEE TETC,IEEE TSE, IEEE TEVC,IEEE TIP,IEEE TFS, andScience China,including ESI highly cited papers. As the first inventor, Prof. Huang has 45 invention patents granted in China and seven invention patents granted in the United States. He won China Patent Excellence Award and developed an association standard entitled “Standard for glass-box testing without source code” as the first completer. Additionally, Prof. Huang pays attention to social services. Over the past five years, he has given more than 50public lectures on science and technology for government offices, primary and secondary schools, CCF, YOCSEF, media, etc. He has been in charge of the development and release of six public software systems such as Unit Test Algorithm Platform www.unittestpc.com.cn, Automatic Structural Equation Modeling System www.autosem.net, Evolutionary Algorithm Time Complexity Analysis System www.eatimecomplexity.net, and Energy Storage Optimization System http://energystorage.autosem.net, which have provided free technical service and support for lots of researchers and engineers.
Title: Micro-scale searching algorithm and its application
Abstract: Intelligent optimization algorithm is an important artificial intelligence method which is often used to solve complex black-box optimization problems. From the perspective of the nature of algorithm performance, this report will describe the fundamental reasons and key points of algorithm performance improvement. It will introduce the idea of micro-scale searching algorithm: By determining the effective decision subset of optimization problems, adjust the reasonable allocation of computational resources and achieve effective search in a small space, thus obtaining the optimal solution or high-quality feasible solution of the problem. Based on this algorithmic idea, this report will introduce the applications of micro-scale searching algorithm ideas in industrial software, software engineering, computer vision, digital logistics, etc.