2026 3rd International Conference on Machine Learning and Neural Networks（MLNN 2026)

	Prof. Qi Wu Shanghai Jiao Tong University, China WuQi is a professor and doctoral supervisor at Shanghai Jiao Tong University, and a recipient of the National Science Fund for Distinguished Young Scholars. His research focuses on neuromorphic computing and collaborative aerial platforms. He has led projects funded by the National Science Fund for Distinguished Young Scholars and the Ye Qisun Key Project. He serves on the editorial boards of six journals, including IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He has received the 8th Yang Jiachi Science and Technology Award (Second Prize), the Wu Wenjun Artificial Intelligence Natural Science Award (Second Prize), the IEEE Outstanding Paper Award, and the Outstanding Editorial Board Member Award from the Journal of Electronics and Information Technology.

	Prof. Yan Wang Sichuan University, China Yan Wang is a professor and doctoral supervisor at the School of Computer Science, Sichuan University. She has received numerous awards, including the Ministry of Education's Young CJ Scholar, Sichuan Provincial Outstanding Youth, and Rongcheng Talent. From 2014 to 2016, she pursued a joint doctoral degree at the University of North Carolina at Chapel Hill, USA. From 2017 to 2018, she conducted postdoctoral research at the University of Wollongong and the University of Sydney, Australia. Her main research areas include deep learning, computer vision, medical artificial intelligence, neuromorphic computing, and neuromorphic intelligence. She has published over 80 academic papers in authoritative international journals and conferences such as TMI, TNNLS, TIP, MIA, ICCV, AAAI, and MICCAI. She has led three National Natural Science Foundation of China projects, a sub-project of the National Key Research and Development Program, and several national and provincial-level projects, including the Sichuan Provincial Outstanding Youth Project. She serves as an Associate Editor for several international journals, including IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and IEEE Transactions on Cognitive and Developmental Systems (TCDS).

	Prof. Xun Gong Southwest Jiaotong University, China Xun Gong, Professor/PhD Supervisor, Deputy Dean of the School of Computing and Artificial Intelligence, Deputy Director of the Engineering Research Center for Intelligent Sustainable Urban Transportation under the Ministry of Education, and Deputy Director of the Sichuan Provincial Key Laboratory. He is a visiting scholar at Louisiana State University (LSU) in the United States, was selected for the 2022–2023 Outstanding Teachers Reward Program for Computer Science Majors in Higher Education, and is a reserve candidate for academic and technical leaders in Sichuan Province. He serves as the Secretary-General of the Computer Teaching Steering Committee for Higher Education Institutions in Sichuan Province, Executive Director of the Sichuan Artificial Intelligence Society, Distinguished Expert of the Overseas High-Level Talents Program of the Sichuan Association for Science and Technology, and representative of the Sichuan Association for Science and Technology. He is also the Chief Expert of the Engineering Master's and Doctoral Training Reform Project under the Ministry of Education, Head of the Provincial High-Level Course in Sichuan Higher Education Institutions.In recent years, his research has focused on interdisciplinary AI issues in fields such as AI + healthcare and geological disaster management. He has won the First Prize in Natural Sciences from Chongqing Municipality and the First Prize at the 7th Sichuan Provincial Forum for Doctors and Experts. He has served as the principal investigator for four National Natural Science Foundation of China projects and multiple provincial and ministerial-level scientific research projects. His team was awarded the 2024 Sichuan Provincial Youth Science and Technology Innovation Research Team Project. He has published over 100 high-level academic papers in journals and conferences such as IEEE Transactions, ICCV, IJCAI, AAAI, and PR, holds 18 authorized invention patents and has authored 5 monographs.He is actively involved in various academic organizations, serving as an Executive Committee Member of the CCF Computer Vision Technical Committee (CCF-CV), a member of the Academic Committee of the Sichuan Clinical Medical Research Center for Digestive System Diseases, a member of the Academic Committee of the Hebei Key Laboratory of Molecular Oncology, and a member of the Rough Set and Knowledge Discovery Professional Committee of the Artificial Intelligence Society. He has been invited to deliver keynote speeches multiple times and serves as a member of the Organizing Committee for the IJCAI Workshop (STRL2025), Co-Chair of the Program Committee for ICMLC (2022–2025), and a Program Committee Member for international conferences such as ICCV2025 and CCBR (2019–2025).

	Prof. Xiyuan Hu Beijing University of Technology, China Prof. Xiyuan Hu received Ph.D degree in pattern recognition and intelligent systems from Institute of Automation, Chinese Academy of Sciences in 2011. He was a visiting scholar at Academia Sinica and Harvard University in 2012 and 2014, respectively. Since 2020, he became a full professor at the school of Computer Science and Engineering in Nanjing University of Science and Technology. And currently, he is with the faculty of information technology, Beijing University of Technology.His research focus on Artificial Intelligence and Computer Vision, Adaptive Signal Separation Theory and Application. He has published more than 100 journal and conference papers (such as Nature Communications, IJCV, IEEE T-SP, IEEE T-MM, CVPR, ECCV, ACM MM, etc.) in these areas. He is coauthor of two books (Chinese Science Press and Tsinghua University Press). He serves as a Council Member for Chinese Society for Imaging Science and Technology, an Associate Editor of Pattern Recognition, and an Editorial Board Member of Humanities & Social Science Communications. He won the Second Prize of Invention and Innovation Achievement Award from the China Invention Association in 2025, the First Prize of Science and Technology Award from the Ministry of Public Security in 2020, Youth Science and Technology Award of Chinese Society for Imaging Science and Technology (CSIST) and Scientific and Technology Progress Award of Chinese Computer Federation (CCF) both in 2019.