About Peng Yang Peng Yang Postdoctoral Research Fellow, Structural and Functional Bioinformatics machine learning bioinformatics Peng Yang worked as a Postdoctoral research fellow at Prof. Xin Gao's Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST) during 2016-2018. Currently, Peng is a research scientist at Baidu Research. Research Interests Machine Learning and Data Mining problem, especially online active learning, multi-task learning, recommender systems, and deep learning. Algorithms for bioinformatics problems, especially in disease gene prediction, drug-target interaction prediction, protein complex, and microbial community pattern detection Articles Related News May 2017 Our work on online multi-task learning accepted by TKDE 1 min read · Sat, May 6 2017 News Congratulates Peng Yang on his work on developing a robust online multi-task learning with correlative and personalized structures, which was accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
Our work on online multi-task learning accepted by TKDE 1 min read · Sat, May 6 2017 News Congratulates Peng Yang on his work on developing a robust online multi-task learning with correlative and personalized structures, which was accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
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