Our work on online multi-task learning accepted by TKDE
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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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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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Peng Yang
- Postdoctoral Research Fellow, Structural and Functional Bioinformatics