Zhejiang University | China
Dr. Ying Liu, PhD, is an Associate Professor at the College of Information Science and Electronic Engineering, Zhejiang University, with expertise spanning statistical signal processing, artificial intelligence, and data mining. She earned her PhD in Electronic Engineering from the City University of Hong Kong, following earlier degrees from Shantou University and Dalian Maritime University. Her research career includes visiting appointments at the University of Calgary and the City University of Hong Kong, enriching her international academic collaborations. Dr. Liu has led numerous research projects supported by the National Natural Science Foundation of China and provincial funds, with a strong focus on distributed learning, graph-based signal processing, and big data analysis for complex systems such as power grids. Recognized for her contributions, she received the prestigious Natural Science Prize from the Ministry of Education of China (Second Prize) and was named a Qiushi Youth Scholar of Zhejiang University the same year. Her scholarly output includes 7 indexed publications that have collectively attracted 51 citations from 46 documents, reflecting an h-index of 4, showcasing the relevance and impact of her research in advancing intelligent information processing and distributed systems. Her ongoing projects continue to address critical challenges in privacy, security, and adaptive learning for future intelligent networks..
Profile: Scopus
Featured Publication
Adaptive synchronization of chaotic systems and its uses in cryptanalysis
Heterogeneity-Aware Personalized Federated Neural Architecture Search
Frequency-Domain Distributed Multitask Learning Over Networks
Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data
Deeply Supervised Block-Wise Neural Architecture Search