Associate Professor Xiang Li
Postdoctoral Fellow, Nanyang Technological University, Singapore from August 2012 to February 2015
Postdoctoral Fellow, National University of Singapore from February 2015 to August 2016
August 2016 -- June 2019 Research Assistant Professor at the Chinese University of Hong Kong
June 2019 -- present Associate Professor, Department of Automation, Tsinghua University
Prof. Li Xiao
Chinese Academy of Sciences
Li Xiao is a professor at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications. He has been deeply contributing to the AI algorithm and AI driven biomedical research. He systematically solved the problems of medical feature recognition and multimodal fusion under non-ideal data conditions such as sparse data annotation, domain migration, strong interference, etc.. He proposed a series of methods to enhance the generalization and robustness of the models, initiated new research topics on new neural network training methods based on stochastic optimization theory, multi-source knowledge-driven image report generation method, and achieved the state-of-the-art performances on several tasks such as disease diagnosis, lesion recognition, report generation, keypoints detection, published nearly 30 papers on well-known journals or conferences as the first/corresponding/co-corresponding author. He also led the development of the first high-throughput subcellular interaction intelligent quantification system(integrated into the AMIRA platform) and the first whole-process intelligent karyotyping diagnosis system, which was successfully adopted by several top research groups including Academician Tao Xu’s team at the Institute of Biophysics Chinese Academy of Sciences and Academician Qiao Jie’s team at the Peking University Third Hospital, and obtained five authorized patents and transferred to relevant companies with millions of yuan. He has won the Hundred Talents Program of the Chinese Academy of Sciences (with preferential support), the CCF-Tencent Rhinoceros Bird Excellence Award, etc.
Prof. Qingliang Chen
Department of Computer Science, Jinan University
Qingliang Chen received the Ph.D. degree in computer science from Sun Yat-Sen University, China. He is currently a professor with Department of Computer Science, Jinan University and an adjunct professor with Institute for Integrated and Intelligent Systems (IIIS), Griffith University. He was a Postdoctoral Fellow with Peking University, from 2010 to 2012. His research interests are machine learning and pattern recognition, and he has published more than 30 articles in peer-reviewed international journals and conferences such as AAAI, IJCAI and ECCV, and has served as the principal investigator for three research grants from National Natural Science Foundation of China.
Prof. Jiawen Kang
Guangdong University of Technology, School of Automation
Jiawen Kang is a Full Professor at Guangdong University of Technology. He was a postdoc at Nanyang Technological University, Singapore from 2018 to 2021. His research interests mainly focus on blockchain, metaverse, edge intelligence, security and privacy protection, etc. He has published around 100 research papers in leading journals and flagship conferences including 10 ESI highly cited papers and 3 ESI hot papers. He is the co-inventor of 15 granted patents and has won IEEE VTS Best Paper Award, IEEE Communications Society CSIM Technical Committee Best Journal Paper Award, IEEE Best Land Transportation Paper Award, IEEE HITC Award for Excellence in Hyper-Intelligence Systems (Early Career Researcher award), and 10 best paper awards of international conferences (e.g., WCNC 2020) as well. He is listed in the World’s Top 2% Scientists identified by Stanford University. He is now serving as the editor or guest editor for many leading journals including IEEE JSAC, TNSE, ISJ, and has also severed as the Co-chair of ICC Workshop, WCNC Workshop, ICDCS Workshop, Globcom 2021 Workshop, and HPCC Workshop, etc. He is a vice-chair of IEEE Technical Committee on Cognitive Networks Special Interest Group on "Wireless Blockchain Networks".
2023 2nd International Symposium on Robotics, Artificial Intelligence and Information Engineering http://raiie.com/