Підписатись
Mengnan Du
Mengnan Du
Assistant Professor, New Jersey Institute of Technology
Підтверджена електронна адреса в njit.edu - Домашня сторінка
Назва
Посилання
Посилання
Рік
Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
15322019
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 Workshops, 111-119, 2020
1516*2020
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 15 (2), 1-38, 2024
4502024
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
2942020
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2192020
Towards explanation of dnn-based prediction with guided feature inversion
M Du, N Liu, Q Song, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1622018
Xfake: Explainable fake news detector with visualizations
F Yang, SK Pentyala, S Mohseni, M Du, H Yuan, R Linder, ED Ragan, S Ji, ...
The world wide web conference, 3600-3604, 2019
1532019
Towards generalizable deepfake detection with locality-aware autoencoder
M Du, S Pentyala, Y Li, X Hu
Proceedings of the 29th ACM international conference on information …, 2020
143*2020
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
Proceedings of the 28th ACM international conference on information and …, 2019
1332019
Shortcut learning of large language models in natural language understanding
M Du, F He, N Zou, D Tao, X Hu
Communications of the ACM 67 (1), 110-120, 2023
1282023
Evaluating explanation without ground truth in interpretable machine learning
F Yang, M Du, X Hu
arXiv preprint arXiv:1907.06831, 2019
109*2019
A survey on fairness in large language models
Y Li, M Du, R Song, X Wang, Y Wang
arXiv preprint arXiv:2308.10149, 2023
102*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
982021
Fairness via representation neutralization
M Du, S Mukherjee, G Wang, R Tang, A Awadallah, X Hu
Advances in Neural Information Processing Systems 34, 12091-12103, 2021
882021
The impact of reasoning step length on large language models
M Jin, Q Yu, H Zhao, W Hua, Y Meng, Y Zhang, M Du
ACL Findings 2024, 2024
73*2024
Mitigating gender bias in captioning systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
Proceedings of the Web Conference 2021, 633-645, 2021
732021
On attribution of recurrent neural network predictions via additive decomposition
M Du, N Liu, F Yang, S Ji, X Hu
The world wide web conference, 383-393, 2019
692019
Learning credible deep neural networks with rationale regularization
M Du, N Liu, F Yang, X Hu
2019 IEEE International Conference on Data Mining (ICDM), 150-159, 2019
582019
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, ...
Proceedings of the international AAAI conference on web and social media 15 …, 2021
502021
Adversarial attacks and defenses: An interpretation perspective
N Liu, M Du, R Guo, H Liu, X Hu
ACM SIGKDD Explorations Newsletter 23 (1), 86-99, 2021
49*2021
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