Prof. Jian Wu
Zhejiang University, China
Speech Title: TBD
Biography
Wu Jian is a Qiushi Distinguished Professor at Zhejiang University, a Changjiang Scholar of the Ministry of Education, Vice Dean of the International Campus at Zhejiang University, Director of the Provincial Key Laboratory of Medical Imaging Artificial Intelligence, Expert in the Standardization Technical Committee for AI Medical Devices, Board Member of the China Computer Federation, Deputy Director of the International Cooperation and Exchange Committee of the China Health Information and Big Data Association, and Vice Chairman of the Zhejiang Provincial Medical Data Industry Research Association. His research focuses on medical artificial intelligence, and he has published over 100 SCI/EI-indexed papers. He has led six projects funded by the National Natural Science Foundation of China and two sub-projects of the National Key R&D Program. He received the first prize in Science and Technology Progress from the Ministry of Education in 2007, the first prize in Science and Technology Progress from Zhejiang Province in 2008, the Special Prize in Science and Technology from the China General Chamber of Commerce in 2009, the second prize of the National Science and Technology Progress Award in 2010, the first prize in Science and Technology Progress from Zhejiang Province in 2014, the second prize in Science and Technology Progress from Zhejiang Province in 2018, and the Outstanding Science and Technology Progress Award from the China Computer Federation in 2021.
Prof. Jie Wang
Shanghai Jiaotong University, China
Speech Title: Recent research work on AI medical diagnosis
Abstract: Part A: Development of a Chromosome Classification Approach Using Deep Convolutional Networks. Bottlenecks of chromosome classification are analysed. Flowchart of the proposed Varifocal-Net is proposed, including global-scale and local-scale feature learning, classification based on the fused features. Part B: Segmentation methods for AI medical diagnosis. Flowchart of the proposed pulmonary nodule segmentation framework is presented. A voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks is presented. Flowchart of the proposed method for pulmonary airway and artery-vein segmentation is introduced. More than 10 papers about above research have been published on top journals （e.g. TMI）and top conferences (e.g. MICCAI).
Biography
Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books，more than five hundreds of articles in national or international academic journals and conferences. Google citation 24964，H-index 81. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. Two Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009 and in 2017. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 48 patents.
Prof. Tian Tian
Wuhan University, China
Biography
Prof. Tian Tian specializes in artificial intelligence algorithms for biological big data. He addresses key scientific challenges in omics data, such as high noise, high dimensionality, multi-omics integration, and batch diversity, by developing innovative AI algorithms. These efforts have led to significant academic achievements. Additionally, he applies these innovative algorithms to experimental data mining and analysis, aiding domain experts in solving major biomedical problems.
In recent years, he has published over 30 SCI-indexed academic papers. Among these, he has authored 11 research papers as the first author in leading international journals in bioinformatics, including Nature Methods, Nature Machine Intelligence, Nature Communications, Genome Research, and EBioMedicine. His collaborative works have been published in prestigious journals such as Nature Medicine, Cancer Discovery, and PNAS. Additionally, he serves as an editor for journals like Frontiers in Genetics and BMC Bioinformatics.
As of now, his work has been cited over 2900 times on Google Scholar, with the highest citation count for a single research paper exceeding 230 times. He was awarded the 2023 National High-Level Talent Youth Program for Overseas Professionals.
Prof. Zhengxing Huang
Zhejiang University, China
Biography
Huang Zhengxing is currently a professor and Ph.D. advisor at the Institute of Artificial Intelligence of Zhejiang University. His research focuses on the transformation of clinical decision-making paradigms—a cutting-edge interdisciplinary field that spans clinical medicine, information science, and data science. He conducts research on knowledge and data-driven intelligent clinical decision support methods, which encompass the processes from data to knowledge and from knowledge to decision-making.
Professor Huang has published or had accepted over 80 papers in prominent national and international academic journals and conferences in the areas of data mining and medical artificial intelligence, including JAMA Network Open, EClinicalMedicine, and IEEE TBME. His research work has been positively cited in numerous reviews, commentaries, and annual reviews of research associations, as well as authoritative journals such as JACC and PNAS. He has an H-Index of 28.
Currently, he serves as an associate editor or editorial board member for several key SCI-indexed journals in the field of medical artificial intelligence, including Artificial Intelligence in Medicine, npj Digital Medicine (a Nature Partner Journal), Journal of Biomedical Informatics, and BMC Medical Informatics and Decision Making. He is also a board member and the Deputy Secretary-General of the Healthcare and Bioinformatics Special Committee of the Chinese Information Processing Society, and serves on the program committees of various international academic conferences such as AIME and IEEE ICH.
