Speakers
Keynote Speaker |
| Professor Weisheng Li Chongqing University of Posts and Telecommunications, China Li Weisheng, Doctor of engineering, professor, doctoral supervisor, Executive Dean of School of Computer Science and Technology, Chongqing University of Posts and Telecommunications. He was selected as the New Century Talents of the Ministry of Education, Chongqing "Tens of millions of Engineering Leading Talents Training Program", Chongqing Outstanding Youth Science Fund winner, Chongqing academic technology leader, Chongqing Key Laboratory of "Image Cognition", vice president of the International Computer Society (ACM) Chongqing Branch, vice president of the China Computer Society (CCF) Chongqing Branch. |
Keynote Speaker |
| Professor Jie Shao University of Electronic Science and Technology of China, China Shao Jie is a special expert of Sichuan Province and executive vice president of Sichuan Artificial Intelligence Research Institute (Yibin). He has published more than 100 high-level academic papers in the multimedia and big data fields of artificial intelligence, and edited and published 4 papers. Best Paper Award at DASFAA 2012 International Conference and Best Paper nomination at PCM 2017 International Conference. He has presided over and undertaken surface projects and key projects of the National Natural Science Foundation, major projects of Science and Technology Innovation 2030-New generation of artificial intelligence of the Ministry of Science and Technology, key research and development projects of Sichuan Province, major science and technology projects of new generation of artificial intelligence, and commissioned development projects of Tencent, Huawei, Railway Science Research Institute and other enterprises. He has worked in the International Journal of Systems and Service-Oriented Engineering, Pattern Recognition Letters and the World Wide Web Guest editor of Journal, and program committee member of major international conferences such as ACM KDD, ACM MM, IEEE ICDE, IEEE CVPR, IEEE ICCV, IJCAI, AAAI, ACL, etc. In 2019, he served as the chairman of the Program Committee of APWeb-WAIM, the International Conference on Big Data Field Recommendation of China Computer Society. Won the second prize of Science and Technology Progress of Sichuan Province in 2021. |
Keynote Speaker |
| Professor Xianhua Zeng Chongqing University of Posts and Telecommunications, China Zeng Xianhua, PhD/professor, doctoral supervisor, master supervisor, selected as Chongqing Talents and Leading Talents in Innovation and Entrepreneurship, is currently deputy director of Chongqing Key Laboratory of Image Cognition. Engaged in machine learning, big data intelligence, cross-modal cognitive computing, image retrieval, data intelligent analysis and other fields of research, presided over 3 national projects, presided over 1 Chongqing key project, participated in 6 national projects. In IEEE TIP, IEEE TMM, ACM TOMM, Information Science, Pattern Recognition, Neural He has published more than 70 academic papers in important journals at home and abroad such as Networks, China Science, Journal of Software, Computer Research and Development, and international conferences such as ICBK, ICDIP, RSKT, ICCICC, IJCNN, etc. He has obtained 15 national invention patents and 3 computer software Copyrights. He won the second prize of national teaching achievements and the first prize of Chongqing Teaching achievements. He taught the courses of "Machine Learning" and "Introduction/Principle of Artificial Intelligence", and the doctoral/master students he trained won 5 municipal/university-level excellent degree theses. In the past 3 years, he supervised 2 doctoral students and 19 graduate students. |
Keynote Speaker |
| Professor Yong Xia Northwestern Polytechnical University, China Xia Yong, male, professor and doctoral supervisor of Northwestern Polytechnical University, candidate of National Youth Talent Program, member of National Engineering Laboratory of Big Data Application Technology Integration of Sky, Sky and Sea, admitted to School of Educational Experiment of Northwestern Polytechnical University in 1997. He received his bachelor's, master's and doctor's degrees from the School of Computer Science, Northwestern Polytechnical University in 2001, 2004 and 2007 respectively (he was awarded the Excellent Doctoral Thesis Award of China Computer Society and nominated for the Excellent Doctoral Thesis of China); In January 2007, he joined the Biomedical and Multimedia Technology (BMIT) Laboratory of the School of Computer Science (formerly the School of Information Technology) of the University of Sydney, and conducted postdoctoral research under the guidance of Academician Feng Dagan. At the end of 2013, he returned to the School of Computer Science of Northwestern Polytechnical University, where his research direction is intelligent computing of medical images, and he has presided over more than 10 national and provincial scientific research projects. Including the National Natural Science Foundation of China surface and cultivation projects 4, Nearly 5 years in the field of the top journal JAMA Network He has published more than 80 papers in Open, Radiology, IEEE-TPAMI/TMI/TIP/JBHI, IJCV, MedIA and top conferences NeurIPS, CVPR, ECCV, AAAI, IJCAI and MICCAI. He has been cited by Google more than 14,000 times (H-Index = 58), was selected into Stanford's "Top 2% of the World's top Scientists list", and guided students to win the top three places in more than 10 international discipline competitions such as BraTS2020, KiTS21, KiPA22, and SegRap2023. He is currently the director of the Chinese Society of Stereology, the Standing Committee of the Digital Medicine Branch of the Chinese Computer Society, the Standing Committee of the Visual Big Data Special Committee of the Chinese Society of Image and Graphics, the deputy leader of the Artificial Intelligence Group of the Tumor Imaging Committee of the Chinese Anti-Cancer Association, and the director of the Artificial Intelligence Special Committee of the Shaanxi Provincial Computer Society. He has served as the Session Chair or Area Chair of international conferences such as ISBI 2017, MICCAI 2019, MICCAI 2020 and ICASSP 2023. |
Keynote Speaker |
| Associate Professor Shudong Huang Sichuan University, China Huang Shudong, Associate professor, PhD supervisor, School of Computer Science (School of Software, School of Intelligent Science and Technology), Sichuan University. He is a member of China Computer Association and Chinese Society for Artificial Intelligence, and deputy editor of the column of Engineering Science and Technology. His research field is artificial intelligence, machine learning; His research interests include unsupervised machine learning algorithms, image processing, multi-source heterogeneous data mining, deep learning and its applications. At present, he presides over the National Natural Science Foundation, the key research and development project of Sichuan Province, and the sub-project of the "14th Five-Year Plan" major science and technology project of Sichuan Province. In IEEE TNNLS, IEEE TCYB, IEEE TKDE, Pattern Recognition, Machine Learning, Data Mining and Knowledge Nearly 30 first-author/corresponding author papers have been published in top international journals and conferences in the field such as Discovery, NeurIPS, AAAI, ACM MM, and many of them have been selected as ESI global highly cited papers and Sichuan Computer Society Annual Excellent Paper Award. |
Keynote Speaker |
| Professor Shaobin Gao Sichuan University, China Gao Shaobing, Ph.D., graduated from the School of Life Science and Technology, University of Electronic Science and Technology of China in June 2017. In 2017, he was introduced by Sichuan University as a special associate researcher (Associate High School). From 2015 to 2016, he undertook joint PhD training at the Behavioural Neuroscience Research Centre at University College London. Dr. Gao Shaobing's main research field is "brain-like computing", including computer vision, visual color information processing, visual adaptive, biological pulse neural networks, robot navigation technology based on brain GPS mechanism, deep learning, etc. Dr. Gao has received rigorous training in the fields of biomedical engineering, computational neuroscience and neuroelectrophysiological experiments, and has a research background in experimental neuroscience and engineering. He has published several articles in computer vision, pattern recognition and Computational Neuroscience journals and conferences IEEE TPAMI, TIP, NIPS, ICCV, CVPR, ECCV, JOSA A, Frontier in Computational Neuroscience, etc. He has applied for 9 technical invention patents (5 have been authorized), is currently a member of CCF, and serves as a reviewer for many international first-class academic journals such as IEEE TIP, SPL, TII, CVIU, Frontier in Neuroscience, etc. |
Keynote Speaker |
| Associate Professor Huayue Chen China West Normal University, China Doctor, professor, master tutor, Director of the Department of Computer Science and Technology His research interests include intelligent analysis and interpretation of remote sensing images, intelligent information processing and optimization algorithms. In the past 5 years, as the first author or corresponding author, he has published more than 30 scientific research papers in "IEEE T-R", "IEEE T-IM", "Information Sciences", "KBS" and other famous academic journals with high water quality, 10 ESI highly cited papers and 9 HOT papers, and he has cited nearly 1000 times. He has been a reviewer of SCI journals such as IEEE/CAA Journal of Automatica Sinica and KBS. He has led or researched 5 projects of National Natural Science Foundation, 3 projects of provincial and ministerial level, 3 projects of national key laboratory, and many projects of prefecture level. |
Keynote Speaker |
| Associate Professor Liming Xu China West Normal University, China Liming Xu, PhD, Postdoc, Associate Professor, Master tutor, research secretary, Senior member of CCF, School of Computer Science, China West Normal University. His research direction is multi-mode image analysis and reconstruction, focusing on machine learning paradigms such as hash learning, manifold learning, deep learning and adversarial learning and their applications in image restoration, image super resolution, image hash retrieval, image cross-modal conversion and automatic generation of medical image diagnosis report. In the past five years, he has been the first author or corresponding author in IEEE T-IP, IEEE T-MM, ACM TOMM, Pattern Recognition, Neural Networks, Neurocomputing, and Information Science, Biomedical Signal Processing and Control, Science in China: Nearly 40 academic papers have been published in academic journals such as Information Science, Journal of Graphics, Computer Engineering and Applications, more than 20 have been retrieved by SCI/EI, and 6 have been included in the Chinese core journals of Peking University. He presided over 1 project of National Natural Science Foundation, 3 projects at provincial and ministerial level, 1 project of China Postdoctoral orientation, 2 projects at prefecture and university level, and 4 projects across the board. He has participated in 3 National Natural Science Foundation projects and 1 key project of Chongqing Municipality. |
