Professor Xiangtao Li

Jilin University, China

Bio:

Dr. Xiangtao Li is a professor at the School of Artificial Intelligence, Jilin University, and a National Young Talent. He was selected as one of MIT Technology Review’s “China Intelligent Computing Innovators” and has been ranked among the top 2% of scientists worldwide for five consecutive years. He has led projects funded by the National Natural Science Foundation of China—both the General Program and the Young Scientists Program—as well as Jilin Province’s Youth and General Funds, accumulating over 6 million CNY in government-funded research grants. In recent years, he has published more than 150 papers as the first or corresponding author in journals and conferences such as Nature Communications (3 papers), Advanced Science (6 papers), Nucleic Acids Research (1 paper), Bioinformatics, PLoS Computational Biology, IEEE Transactions on Cybernetics, and AAAI. His research areas include AI4Science, single-cell and spatial transcriptomics data analysis, and dynamic prediction of proteins and RNAs. According to Google Scholar, his publications have been cited over 4,200 times, and he holds an H-index of 35. Notably, one of his papers was recognized as an ESI Highly Cited Paper (placing it in the top 1% by citation count), with his most cited paper receiving 300 citations, and nine papers having over 100 citations each. Under his leadership, his team secured two provincial-level Natural Science Achievement Awards, in which he contributed as both the primary and secondary contributor. Reflecting the recent progress in evolutionary computation and unsupervised learning algorithms at home and abroad, he authored the English monograph Natural Computing for Unsupervised Learning, published by Springer. He is also serving as an Area Chair for NeurIPS 2024 and holds editorial positions—such as associate editor or board member—at several international SCI journals, including BMC Biology (a top-tier journal as per the Chinese Academy of Sciences classification), BMC Bioinformatics (CCF C), and BMC Genomics.

Professor Xiulong Liu

Tianjin University, China

Bio: 

Xiulong Liu is a professor, vice dean, in College of Intelligence and Computing, Tianjin University, China. His research interests include human activity recognition, indoor localization, IoT security and privacy, etc. His research papers were published in many prestigious journals and conferences including Mobicom, TON, TMC, TC, TPDS, IMWUT, INFOCOM, and ICNP, etc. He serves as the Associate Editor of IEEE Trans. on Computers and Internet of Things Journal, etc.

Professor Qiang He

Northeastern University, China

Bio: 

Qiang He is a tenured professor and doctoral supervisor at Northeastern University, and a recipient of the Liaoning Provincial Youth Science Fund. He focuses on teaching and research in the fields of cloud computing, computing power networks, and machine learning. He currently serves as a reviewer for several internationally renowned journals, including IEEE/ACM Transactions on Networking. He is also a senior member of the China Computer Federation (CCF), an executive committee member of the CCF Internet Special Interest Group and the Network and Data Communication Special Interest Group, and the incoming chair of CCF YOCSEF Shenyang for the 2025-2026 term. He has served as an editorial board member for 16 international and domestic journals. He has published or had accepted over 90 papers in internationally renowned journals and conferences such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Services Computing, and NeurIPS. Among these, over 70 papers have been indexed by SCI. He has published 24 papers as the first author or corresponding author in CCF A-category journals and IEEE/ACM Transactions, including 11 CCF A-category papers. He has also published five highly cited or hot papers as the first author and has applied for or been granted more than 20 national invention patents.

Professor Maoxiang Chu

University of Science and Technology Liaoning, China

Bio: 

Professor Maoxiang Chu is a Ph.D. and doctoral supervisor. He was a visiting scholar at Lakehead University in Canada and also received the title of Young Backbone Talent from his home institution. He is also a member of CCF, IAENG, CAAI and the Youth Work Committee of CAAI. His research focuses on pattern recognition, machine learning, and machine vision. In these fields, he has led and participated in nearly 30 national, provincial, enterprise-commissioned and university-level projects, while overseeing over 10 enterprise product development initiatives. Additionally, he has published nearly 80 academic papers, including 35 SCI-indexed papers and 15 EI-indexed papers. He has disclosed or been granted nearly 20 invention patents and utility model patents. And he has received 6 Natural Science Academic Paper Achievement Awards from Liaoning Province and Anshan City, along with 2 Liaoning Provincial Scientific and Technological Achievement awards. Furthermore, he has been honored with approximately 170 teaching achievement awards at national, provincial, municipal, enterprise, and university levels.

Professor Qi Zhao

University of Science and Technology Liaoning, China

Bio: 

Qi Zhao received his Bachelor degree and PhD from Wuhan University and Chinese Academy of Sciences in 2005 and 2011, respectively. Since 2011, he has been a faculty member as a lecturer and associate professor in Liaoning University, China. Now he is a full professor in University of Science and Technology Liaoning, China. Qi Zhao has been associate editor or editorial board member for more than 10 SCI journals, such as Journal of Cellular and Molecular Medicine, Computational and Structural Biotechnology Journal, Journal of Translational Medicine, Genomics and so on. During recent years, he has published more than 100 SCI journal articles in the fields of bioinformatics, deep learning, computational toxicology and medical artificial intelligence. Qi Zhao received highly cited researcher awards by Clarivate Analytics in 2024. 

Associate Professor Ye Tao 

University of Science and Technology Liaoning, China

Bio: 

Ye Tao graduated from Northwest Normal University in 2015 with a Master's degree in Engineering. He graduated from Liaoning University of Science and Technology in 2024 with a Doctoral degree in Engineering. Since 2016, he has been a lecturer and associate professor at Liaoning University of Science and Technology. He has published over 80 academic papers. Among them, there are more than 30 SCI and EI papers. He has presided over and participated in over 30 various projects at the national, provincial, municipal, and university levels. He also serves as a technical expert for several enterprises. He has guided students to win awards in national, provincial, and university level competitions for over 30 times.

Associate Professor Honghan Li

University of Science and Technology Liaoning, China

Bio: 

Honghan Li  received the B.Eng. degree in microelectronics science and engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and the M.Eng. and Ph.D. degrees in mechanical science and bioengineering from Osaka University, Osaka, Japan, in 2021 and 2024, respectively. From 2021 to 2024, he served as a Research Fellow at Japan Society for the Promotion of Science (JSPS), Tokyo, Japan. In 2023, he was invited as a Visiting Researcher at the Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland. He is currently an Associate Professor with the School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China. His research interests include biomedical signal processing and machine vision.