activity
20202026
most citedPrediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.SE2026

Rise From The Ashes: LLM-based Static Analysis for Deep Learning Framework Bugs

Shaoyu Yang, Haifeng Lin, Chunrong Fang +6

Deep learning (DL) frameworks are critical AI infrastructures that often hide bugs with serious security implications. While dynamic approaches such as fuzzing are effective in unc…

cs.SE2025

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs

Shaoyu Yang, Chunrong Fang, Haifeng Lin +3

Deep Learning (DL) frameworks have served as fundamental components in DL systems over the last decade. However, bugs in DL frameworks could lead to catastrophic consequences in cr…

cs.CL2020★ 2 cited

Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III

Brent Biseda, Gaurav Desai, Haifeng Lin +1

This paper achieves state of the art results for the ICD code prediction task using the MIMIC-III dataset. This was achieved through the use of Clinical BERT (Alsentzer et al., 201…