Techniques for interpretable machine learning M Du, N Liu, X Hu Communications of the ACM 63 (1), 68-77, 2019 | 850 | 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 | 577* | 2020 |
Fairness in deep learning: A computational perspective M Du, F Yang, N Zou, X Hu IEEE Intelligent Systems, 2020 | 158 | 2020 |
Towards explanation of dnn-based prediction with guided feature inversion M Du, N Liu, Q Song, X Hu KDD 2018, 2018 | 120 | 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 | 95 | 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 | 92 | 2020 |
Towards generalizable deepfake detection with locality-aware autoencoder M Du, S Pentyala, Y Li, X Hu CIKM 2020, 2019 | 84* | 2019 |
Evaluating explanation without ground truth in interpretable machine learning F Yang, M Du, X Hu arXiv preprint arXiv:1907.06831, 2019 | 67* | 2019 |
Specae: Spectral autoencoder for anomaly detection in attributed networks Y Li, X Huang, J Li, M Du, N Zou CIKM 2019, 2019 | 65 | 2019 |
On attribution of recurrent neural network predictions via additive decomposition M Du, N Liu, F Yang, S Ji, X Hu WWW 2019, 2019 | 43 | 2019 |
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 | 37 | 2021 |
Learning Credible Deep Neural Networks with Rationale Regularization M Du, N Liu, F Yang, X Hu ICDM 2019, 2019 | 36 | 2019 |
Fairness via Representation Neutralization M Du, S Mukherjee, G Wang, R Tang, AH Awadallah, X Hu NeurIPS 2021, 2021 | 35 | 2021 |
Adversarial machine learning: An interpretation perspective N Liu, M Du, X Hu SIGKDD Explorations, 2020 | 29* | 2020 |
Mitigating Gender Bias in Captioning Systems R Tang, M Du, Y Li, Z Liu, X Hu WWW 2021, 2020 | 27* | 2020 |
Representation interpretation with spatial encoding and multimodal analytics N Liu, M Du, X Hu WSDM 2019, 2019 | 16 | 2019 |
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 | 14 | 2020 |
Trust Evolution Over Time in Explainable AI for Fake News Detection S Mohseni, F Yang, S Pentyala, ... Fair & Responsible AI Workshop at CHI, 2020 | 14* | 2020 |
Deep Structured Cross-Modal Anomaly Detection Y Li, N Liu, J Li, M Du, X Hu IJCNN 2019, 2019 | 14* | 2019 |
Learning credible DNNs via incorporating prior knowledge and model local explanation M Du, N Liu, F Yang, X Hu Knowledge and Information Systems (KAIS), 2020 | 11 | 2020 |