Haibin Cheng
About
Haibin Cheng has authored 9 papers that have received a total of 188 indexed citations.
This includes 4 papers in Signal Processing, 3 papers in Artificial Intelligence and 3 papers in Information Systems. The topics of these papers are Recommender Systems and Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (2 papers). Haibin Cheng is often cited by papers focused on Recommender Systems and Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (2 papers) and collaborates with scholars based in United States, United Kingdom and China. Haibin Cheng's co-authors include Pang‐Ning Tan, Jing Gao, Rómer Rosales, William F. Punch and Erick Cantú‐Paz and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering
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