Mengnan Du
Cited by
Cited by
Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
Score-CAM: Score-weighted visual explanations for convolutional neural networks
H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu
CVPR workshop 2020, 2020
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems, 2020
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
KDD 2020, 2020
Towards explanation of dnn-based prediction with guided feature inversion
M Du, N Liu, Q Song, X Hu
KDD 2018, 2018
XFake: explainable fake news detector with visualizations
F Yang, SK Pentyala, S Mohseni, M Du, H Yuan, R Linder, ED Ragan, S Ji, ...
WWW 2019, 2019
Towards generalizable deepfake detection with locality-aware autoencoder
M Du, S Pentyala, Y Li, X Hu
CIKM 2020, 2019
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
CIKM 2019, 2019
Evaluating explanation without ground truth in interpretable machine learning
F Yang, M Du, X Hu
arXiv preprint arXiv:1907.06831, 2019
Explainability for large language models: A survey
H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du
ACM Transactions on Intelligent Systems and Technology, 2023
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
M Du, V Manjunatha, R Jain, R Deshpande, F Dernoncourt, J Gu, T Sun, ...
NAACL 2021, 2021
Fairness via Representation Neutralization
M Du, S Mukherjee, G Wang, R Tang, AH Awadallah, X Hu
NeurIPS 2021, 2021
On attribution of recurrent neural network predictions via additive decomposition
M Du, N Liu, F Yang, S Ji, X Hu
WWW 2019, 2019
Mitigating Gender Bias in Captioning Systems
R Tang, M Du, Y Li, Z Liu, X Hu
WWW 2021, 2020
Learning Credible Deep Neural Networks with Rationale Regularization
M Du, N Liu, F Yang, X Hu
ICDM 2019, 2019
Shortcut learning of large language models in natural language understanding
M Du, F He, N Zou, D Tao, X Hu
Communications of the ACM, 2023
Machine Learning Explanations to Prevent Overtrust in Fake News Detection
S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ...
ICWSM 2021, 2020
A Survey on Fairness in Large Language Models
Y Li, M Du, R Song, X Wang, Y Wang
arXiv preprint arXiv:2308.10149, 2023
Efficient XAI Techniques: A Taxonomic Survey
YN Chuang, G Wang, F Yang, Z Liu, X Cai, M Du, X Hu
arXiv preprint arXiv:2302.03225, 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
M Du, S Mukherjee, Y Cheng, M Shokouhi, X Hu, A Hassan
EACL 2023, 2023
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