Chair: Xian Mo, Ningxia University, China
Co-Chair: Wei Zhao, Jiangsu University of Technology, China
Xian Mo
Ningxia University, China
Dr. Xian Mo is an Associate
Professor and Doctoral Supervisor at the School of
Information Engineering, Ningxia University. His
research focuses on graph machine learning and its
applications, with particular expertise in
diffusion-enhanced graph learning, multimodal
recommendation, and heterogeneous network
representation.
He has published over 20 papers in top-tier venues
including IEEE Transactions on Multimedia, ACM Web
Conference (WWW), and Information Processing and
Management, and serves as the sole first author or
corresponding author of most of his work. He has led
3 national/ministerial-level research projects
including a National Natural Science Foundation of
China (Youth Program) and Ningxia High-Level Talent
Introduction Project, and holds 6 granted invention
patents and 6 software copyrights in intelligent
recommendation systems. He is also the author of two
academic monographs published by Wuhan University
Press and Tsinghua University Press. He received the
Best Paper Award at the Asian Conference on
Artificial Intelligence Technology in 2025, and was
honored as an Outstanding Supervisor of the 7th
National College Computer Ability Challenge in the
same year.
Wei Zhao
Jiangsu University of Technology, China
Dr. Wei Zhao is a Lecturer at
Jiangsu University of Technology. She earned her
doctoral degree from the College of Computer Science
and Technology, Nanjing University of Aeronautics
and Astronautics. Her research mainly centers on
graph learning, covering multiple research subfields
including intelligent recommendation systems, link
prediction and cross-domain recommendation. She
devotes long-term research efforts to optimizing
graph learning algorithms and exploring their
practical application values in complex network
scenarios. Dr. Zhao has published a number of
high-level peer-reviewed papers in prestigious
academic journals and international conferences in
the computer science field. Additionally, she has
successfully obtained 3 registered software
copyrights focusing on graph learning and
recommendation algorithm optimization, which further
transforms her theoretical research achievements
into practical technical results.
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Chair: Xian Mo, Ningxia University, China
Co-Chair: Wei Zhao, Jiangsu University of Technology, China
Xian Mo
Ningxia University, China
Dr. Xian Mo is an Associate Professor and Doctoral Supervisor at the School of Information Engineering, Ningxia University. His research focuses on graph machine learning and its applications, with particular expertise in diffusion-enhanced graph learning, multimodal recommendation, and heterogeneous network representation.
He has published over 20 papers in top-tier venues including IEEE Transactions on Multimedia, ACM Web Conference (WWW), and Information Processing and Management, and serves as the sole first author or corresponding author of most of his work. He has led 3 national/ministerial-level research projects including a National Natural Science Foundation of China (Youth Program) and Ningxia High-Level Talent Introduction Project, and holds 6 granted invention patents and 6 software copyrights in intelligent recommendation systems. He is also the author of two academic monographs published by Wuhan University Press and Tsinghua University Press. He received the Best Paper Award at the Asian Conference on Artificial Intelligence Technology in 2025, and was honored as an Outstanding Supervisor of the 7th National College Computer Ability Challenge in the same year.
Wei Zhao
Jiangsu University of Technology, China
Dr. Wei Zhao is a Lecturer at Jiangsu University of Technology. She earned her doctoral degree from the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics. Her research mainly centers on graph learning, covering multiple research subfields including intelligent recommendation systems, link prediction and cross-domain recommendation. She devotes long-term research efforts to optimizing graph learning algorithms and exploring their practical application values in complex network scenarios. Dr. Zhao has published a number of high-level peer-reviewed papers in prestigious academic journals and international conferences in the computer science field. Additionally, she has successfully obtained 3 registered software copyrights focusing on graph learning and recommendation algorithm optimization, which further transforms her theoretical research achievements into practical technical results.