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Mengnan Du
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Cited by
Year
Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
6892019
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
402*2020
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems, 2020
1192020
Towards explanation of dnn-based prediction with guided feature inversion
M Du, N Liu, Q Song, X Hu
KDD 2018, 2018
1062018
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
74*2019
Towards generalizable forgery detection with locality-aware autoencoder
M Du, S Pentyala, Y Li, X Hu
CIKM 2020, 2019
69*2019
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
KDD 2020, 2020
642020
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
CIKM 2019, 2019
572019
Evaluating explanation without ground truth in interpretable machine learning
F Yang, M Du, X Hu
arXiv preprint arXiv:1907.06831, 2019
542019
On attribution of recurrent neural network predictions via additive decomposition
M Du, N Liu, F Yang, S Ji, X Hu
WWW 2019, 2019
372019
Learning Credible Deep Neural Networks with Rationale Regularization
M Du, N Liu, F Yang, X Hu
ICDM 2019, 2019
312019
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
252021
Mitigating Gender Bias in Captioning Systems
R Tang, M Du, Y Li, Z Liu, X Hu
WWW 2021, 2020
212020
Adversarial machine learning: An interpretation perspective
N Liu, M Du, X Hu
SIGKDD Explorations, 2020
21*2020
Fairness via Representation Neutralization
M Du, S Mukherjee, G Wang, R Tang, AH Awadallah, X Hu
NeurIPS 2021, 2021
182021
Representation interpretation with spatial encoding and multimodal analytics
N Liu, M Du, X Hu
WSDM 2019, 2019
152019
Deep Structured Cross-Modal Anomaly Detection
Y Li, N Liu, J Li, M Du, X Hu
IJCNN 2019, 2019
14*2019
Trust Evolution Over Time in Explainable AI for Fake News Detection
S Mohseni, F Yang, S Pentyala, ...
Fair & Responsible AI Workshop at CHI, 2020
12*2020
Supervised training and contextually guided salient object detection
M Du, X Wu, W Chen, Z Li
Digital Signal Processing, 2017
82017
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
72020
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