1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2026
Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
Jiaan Han, Junxiao Chen, Yanzhe Fu
Most FDR-controlled feature selection methods are designed for coordinate-wise hypotheses, where each feature has a single weight or importance score. This abstraction fails in seq…
stat.ML2024
CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors
Jiaan Han, Junxiao Chen, Yanzhe Fu
We introduce CatNet, an algorithm that effectively controls False Discovery Rate (FDR) and selects significant features in LSTM. CatNet employs the derivative of SHAP values to qua…
eess.AS2023★ 1 cited
DistillW2V2: A Small and Streaming Wav2vec 2.0 Based ASR Model
Yanzhe Fu, Yueteng Kang, Songjun Cao +1
Wav2vec 2.0 (W2V2) has shown impressive performance in automatic speech recognition (ASR). However, the large model size and the non-streaming architecture make it hard to be used…