Institute of Computing Technology, Chinese Academy of Sciences | China
Author Profile
Early Academic Pursuits
She embarked on her academic journey with a Bachelor's degree in Computer Science and Technology from Henan University, where she demonstrated exceptional academic prowess, ranking among the top 2 out of 145 students. Building on this foundation, she pursued a Ph.D. in Computer Application Technology at SKLP, ICT, UCAS, earning a remarkable rank within the top 5% of her cohort.
Professional Endeavors
Her professional career is marked by leadership roles and groundbreaking research initiatives. As a research group leader, she spearheaded the development of an Efficient Knowledge Distillation (KD) technique tailored for Graph Neural Networks (GNNs), achieving a significant performance boost of 53.3%. Her contributions extend beyond academia, as evidenced by her involvement in projects such as Data Mining Research for Persons with Disabilities and Research on Crowd Intelligence, where she played a pivotal role in driving innovation and policy formulation.
Contributions and Research Focus in Innovation Strategy
At the forefront of her research focus lies Graph Neural Networks (GNNs) and Knowledge Distillation (KD), with a particular emphasis on enhancing GNN performance and distilling high-order relational knowledge. Her publications, including papers and patents, underscore her expertise in these areas, offering valuable insights into algorithm classification, application analysis, and intelligent metric modeling. Jing Liu's work is characterized by its depth, innovation, and relevance to real-world challenges.
Accolades and Recognition
Her contributions have garnered widespread recognition, as evidenced by the accolades she has received throughout her career. Notable awards include the Shuguang PhD Award from ICT, UCAS, and multiple National Endeavor Scholarships from Henan University. Her research endeavors have been met with acclaim, with her paper on Quality-time-complexity universal intelligence measurement earning the prestigious Best Paper Award.
Impact and Influence
Her impact extends beyond academic circles, with her research shaping the landscape of Graph Neural Networks and Knowledge Distillation. Her innovative approaches and insightful contributions have the potential to drive advancements in various domains, from artificial intelligence to data mining and beyond. Through her publications, patents, and leadership roles, she continues to leave a lasting imprint on the field.
Legacy and Future Contributions
Notable Publications