Prof. Xinwang Liu, National University of Defense Technology, China (National High-Level Talents)

刘新旺 教授，国防科技大学（国家级高层次人才）

Xinwang Liu is a Professor and Doctoral Supervisor at the College of Computer Science, National University of Defense Technology, and a recipient of the National Science Fund for Distinguished Young Scholars (2023) and the Excellent Young Scientists Fund (2019). He serves as the Principal Investigator for Key Projects of the NSFC and the Sci-Tech Innovation 2030 Major Project, and is a core member of the NSFC Innovative Research Group. Focusing on machine learning and data mining, Professor Liu has published over 200 papers in CCF-A journals and conferences, including 30 in IEEE T-PAMI (with 3 as the sole author), and has garnered over 20,000 Google Scholar citations, ranking among the World's Top 2% Scientists for three consecutive years (2022–2024). His extensive research achievements have earned him numerous prestigious accolades, including the First Prizes of the CCF Natural Science Award (2025, ranked 1st), Wu Wenjun AI Natural Science Award (2024, 1st), and Beijing Science and Technology Progress Award (2024, 2nd), along with multiple Hunan Provincial and CSIG Natural Science Awards. Furthermore, he serves as an Associate Editor for leading international journals such as IEEE T-KDE, IEEE T-NNLS, and IEEE T-CYB, and acts as an Area Chair for premier international conferences including ICML and NeurIPS.

Speech Title: SimpleMKKM: Simple Multiple Kernel K-means

Prof. Ruixuan Li, Huazhong University of Science and Technology, China (National-Level Innovative Talents)

李瑞轩 教授，华中科技大学（国家级创新人才）

Brief Introduction is coming soom......

Prof. Dongxiao Yu, Shandong University, China (National Youth Talents)

于东晓 教授，山东大学（国家级青年人才）

Dongxiao Yu is now a professor at the School of Computer Science and Technology, Shandong University. His research interests include edge intelligence, and distributed computing. He has published over 100 papers in CCF-A/JCR Q1 conferences or journals in the past five years; holds 39 authorized national invention patents. He has been awarded eight Best Paper/ Runner-Up Awards at conferences including ACM MobiHoc 2023, IEEE IPCCC 2020, PDCAT 2024, Second Prize of Shandong Provincial Natural Science Award and so on. Multiple research outcomes have been successfully deployed through deep collaboration with enterprises including Goertek and Inspur. He serves as an area editor for Computer Communications and as an associate editor for IEEE Transactions on Computers, IEEE Transactions on Wireless Communications, Big Data Management and Analytics, and Journal of Computer and System Sciences. He has also been included in Stanford University's "World's Top 2% Scientists" list (2022, 2024, 2025). 

Speech Title: Learning at the Edge: Efficient, Adaptive, and Resilient Distributed Intelligence

Prof. Feng Lyu, Central South University, China (National Youth Talents)

吕丰 教授，中南大学（国家级青年人才）

Feng Lyu, IEEE Senior Member, who is a Full Professor with the School of Computer Science and Engineering, Central South University, Changsha, China. His research interests include mobile networking/computing, beyond 5G networks, big data measurement and application design, and cloud/edge computing. He has published over 100 scientific articles in leading journals and top conferences, including Proceedings of the IEEE, IEEE JSAC, IEEE/ACM ToN, IEEE TMC, IEEE TPDS, and ACM MobiCom, IEEE INFOCOM, VLDB, etc. He is selected as IEEE ComSoc Distinguished Lecturer, and currently serves as associate editors for IEEE Transactions on Cognitive Communications and Networking, IEEE Internet of Things Journal, IEEE Systems Journal, and Peer-to-Peer Networking and Applications, and serves as Track Chair/TPC members for many international conferences.

Speech Title: Auto-UIT: Automating UAV Inspection Trajectory by Recognizing Pylon Structure from 3D Point Cloud