Hongchang Gao

12 papers and 127 indexed citations i.

Hongchang Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hongchang Gao has authored 12 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Hongchang Gao’s work include Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Hongchang Gao is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Hongchang Gao collaborates with scholars based in United States, China and Hong Kong. Hongchang Gao's co-authors include Heng Huang, Feiping Nie, An Xu, Wenhao Jiang, Fu-Lai Chung, Jian Pei, Wei Liu, Yanfu Zhang, My T. Thai and Jie Wu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Network.