Editorial Team

Dr. Meng Liu’s research interests include graph neural networks, clustering, and multimodal learning. He has published more than 20 papers in top-tier journals and conferences such as Advanced Science, IEEE TPAMI, IEEE TKDE, CVPR, ICML, and ICLR. His work includes one ESI Hot Paper and one Highly Cited Paper, with a total of over 1,000 citations. Dr. Liu has received several academic honors, including the Best Paper Award of 2024 China Computational Power Conference, Best Stuent Paper Award of CCHI 2023, and DAAD AInet Fellowship.

 

Dr. Changchun Liu is currently an Assistant Researcher and Postdoctoral Fellow at Nanjing University of Aeronautics and Astronautics (NUAA). His research focuses on industrial artificial intelligence, smart manufacturing systems, human–robot collaboration, predictive maintenance, and augmented reality. In the past five years, he has published over ten high-impact papers as the first or corresponding author in top-tier journals such as Robotics and Computer-Integrated Manufacturing, Computers & Industrial Engineering, and International Journal of Production Research. His publications have been widely cited, with more than 200 total citations.

 

Dr. Renda Han’s research focuses on graph clustering and related areas. He has published over 20 peer-reviewed papers in CCF-listed and SCI-indexed journals and conferences, including top-tier venues such as AAAI and ICML. He currently serves as an editorial board member of the journal Scientific Research and Innovation and a standing editorial board member of Deep Learning and Pattern Recognition. In addition, he has acted as a reviewer for multiple high-level CCF conferences.

 

Dr. Zhongbin Luo is a Professor-level Senior Engineer at China Merchants Chongqing Communications Research and Design Institute, and a Master’s Supervisor at both Chongqing Jiaotong University and Shijiazhuang Tiedao University. He is currently pursuing an Engineering Doctorate in Artificial Intelligence at the School of Computer Science, Chongqing Jiaotong University. His research focuses on traffic safety, intelligent transportation, and vehicle-road collaboration.
Dr. Luo has led and participated in over ten national and provincial research projects, including sub-projects of the National Key R&D Program and major initiatives in Chongqing. He holds 11 authorized invention patents, has published 2 academic books, and contributed to 5 industry and regional standards. His work has been recognized with several prestigious awards, including the Second Prize of the National Excellent Engineering Consulting Achievement Award and the First Prize of the China Highway & Transportation Society’s Science and Technology Progress Award. He serves as a committee member of the Shaanxi Society of Highway’s Intelligent Transportation Division, an expert on the National Road Traffic Standardization Committee, and a youth editorial board member of the journal Urban Roads, Bridges and Flood Control. In addition, Dr. Luo is an active senior reviewer for several international journals, including IEEE Access, PLOS ONE, and other SCI-indexed publications. He is also listed as an expert in the National Graduate Education Evaluation and Monitoring Expert Database. Dr. Luo is a prominent figure bridging academic research and industry application in the field of smart transportation.

 

Dr. Jinghao Yang has served as a lecturer in the United States for several years, focusing on the integration of machine learning and deep learning techniques in manufacturing. His research emphasizes intelligent design, sensing, and control within advanced manufacturing systems. With a strong background in both academia and applied research, Dr. Yang bridges data-driven methodologies and real-world industrial needs. His work contributes to the development of smart, adaptive manufacturing technologies and intelligent control frameworks.

 

A/Prof. Xing Cai is an Associate Professor at Southeast University, with a research focus on smart highways and intelligent transportation systems. Her work explores the application of artificial intelligence and digital technologies to enhance the safety, efficiency, and sustainability of modern transportation infrastructure. She has served as the principal investigator for several national-level research projects, including a National Natural Science Foundation of China (NSFC) Youth Project and a sub-project under the National Key R&D Program for Young Scientists. As the first author, she has published over ten SCI-indexed journal papers, contributing original research to the advancement of intelligent road technologies. A/Prof. Cai has also been recognized for her achievements with the First Prize from the Jiangsu Society of Engineers (second place in team ranking), reflecting both academic excellence and practical impact in the field of smart transportation.

Dr. Ruichen Xu is currently a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at the University of Missouri, Columbia. His research focuses on water environment modeling, hydrological ecology, machine learning applications in environmental systems, and sediment–pollutant interactions under turbulence. Over the past five years, he has led or contributed to more than ten funded research projects in both China and the United States, covering topics such as invasive species modeling, microplastic transport, and AI-based flood forecasting. He has published over 20 peer-reviewed papers in journals including Scientific Reports, Science of the Total Environment, and Water, with more than 170 total citations (h-index = 7, i10-index = 6). Dr. Xu is also an active reviewer for journals such as Journal of Hydrology, Ecological Indicators, and Environmental Modelling and Software, and holds several patents related to environmental monitoring and hydrodynamic analysis.