davidhin retweetet
In our 2nd paper accepted @msrconf #msr2022, we present LineVD, a novel #GraphNeuralNetwork model, that achieves #SOTA performance in detecting code statements leading to #vulnerability. @davidhin_, Andrey Kan, @Huaming_Chen & @alibabar. Special thanks @CSCRCoz for the support.
Centre for Research on Engineering Software Tech@crest_centre
SE researchers r starting to highlight the importance of data quality 4 #ML. In our accepted paper at @msrconf, we identify the impact of mislabeled instances for #vulnerability learning, and show that noisy label learning improves performance @CroftRoland @alibabar @Huaming_Chen
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