Title: Biological and Synthetic Collective Intelligence
Speaker: Yaochu Jin, Westlake University
Biography:
Yaochu Jin is Chair Professor for AI, Head of the Artificial Intelligence Department, School of Engineering, Westlake University, Hangzhou, China. He was an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany. He is also a Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include multi-objective and data-driven evolutionary optimization, evolutionary multi-objective learning, trustworthy AI, and evolutionary developmental AI.
Prof Jin is presently the President of the IEEE Computational Intelligence Society and the Editor-in-Chief of Complex & Intelligent Systems. He is the recipient of the 2025 IEEE Frank Rosenblatt Award. He was named by the Web of Science as “a Highly Cited Researcher” since 2019. He is a Member of Academia Europaea and Fellow of IEEE.
Title: Universal and Trustless Large-Value Payments in Cryptocurrencies
Speaker: Xinyi Huang, Jinan University
Biography:
Xinyi Huang received the Ph.D. degree from the School of Computer Science and Software Engineering, University of Wollongong, Australia. He is currently a Professor with the College of Cyber Security, Jinan University, China. His research interests include applied cryptography and network security, and has authored over 100 research papers in refereed international conferences and journals. His work has been cited more than 15000 times at Google Scholar (H-Index: 64).
Title: Modeling and Detection of Chromatin Loops
Speaker: Lin Gao, Xidian University
Biography:
She is a professor in the Department of Computer Science and Technology, Xidian University. Her research interests include data mining, bioinformatics, graph theory and optimization. She focused on computational model and algorithm in omics-data analysis, especially its application in cancer. Her research has been funded by the National Natural Science Foundation of China, National Key Research and Development Program of China, the Foundation of the Ministry of Education of China and other project. She has over 170 publications in professional journals, such as Nature Communications, Nature Methods, Nucleic Acids Research, Advanced Science, PLoS Computational Biology, Bioinformatics, Briefings in Bioinformatics et al. She also serves on various academic communities, member of China Computer Federation, Director of CCF Bioinformatics Committee, member of Chinese Association for Artificial Intelligence.
Title: Large-Scale Parallel DNA Storage Using Unconventional Molecular Bits
Speaker: Cheng Zhang, Peking University
Biography:
Zhang Cheng, Associate Researcher and Doctoral Supervisor, School of Computer Science, Peking University. Guided by “new information processing technology”, he focuses on cutting-edge fields such as DNA computing, molecular storage and nanomachines. He has published more than 50 papers as the first or corresponding author in academic journals such as Nature, Nature Communications, Science Advances, J. Am. Chem. Soc., Angew. Chem. Int. Ed. He presided over national key R&D plan projects, key R&D “intergovernmental cooperation” projects, equipment pre-research projects, National Natural Science Foundation, Ministry of Education Equipment Joint Fund and Beijing International Joint Project. He won the first prize in natural sciences of the Ministry of Education (2012) and the second prize (2023). He was selected into the innovative cross-disciplinary team of the Chinese Academy of Sciences (2020) and the Chinese Intelligent Computing Science and Technology Innovation Person (2023). He serves as a member of the special committees in the fields of intelligent health and bioinformatics, such as the Chinese Automation Society, the Computer Society, and the Society of Biomedical Engineering.
Title: High Information Density and Low Coverage Data Storage in DNA with Efficient Channel Coding Schemes
Speaker: Xuan He, Southwest Jiaotong University
Biography:
Xuan HE received the PhD degree from the University of Electronic Science and Technology of China in 2018. From 2018 to 2020, he was a Postdoctoral Research Fellow with the Singapore University of Technology and Design. He is currently an associate professor with the School of Information Science and Technology at Southwest Jiaotong University, China. His main research interests include channel coding and its applications in DNA storage. He won the Best Paper Award of the Information Theory Society of the Chinese Institute of Electronics in 2024. Since October 2024, he has been serving as an associate editor of IEEE Communications Letters.
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