Bert Huang

35 papers and 778 indexed citations i.

Bert Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Bert Huang has authored 35 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Bert Huang’s work include Machine Learning and Algorithms (8 papers), Bayesian Modeling and Causal Inference (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Bert Huang is often cited by papers focused on Machine Learning and Algorithms (8 papers), Bayesian Modeling and Causal Inference (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Bert Huang collaborates with scholars based in United States, China and Australia. Bert Huang's co-authors include Lise Getoor, Tony Jebara, Stephen H. Bach, Matthias Broecheler, Hal Daumé, Arti Ramesh, Dan Goldwasser, Gang Hua, Lexing Xie and Michele Merler and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers in Human Behavior and Neural Networks.