| 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 Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 511* | 2020 |
| Fairness in deep learning: A computational perspective M Du, F Yang, N Zou, X Hu IEEE Intelligent Systems 36 (4), 25-34, 2020 | 145 | 2020 |
| 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 | 85 | 2019 |
| 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 | 77 | 2020 |
| Evaluating explanation without ground truth in interpretable machine learning F Yang, M Du, X Hu arXiv preprint arXiv:1907.06831, 2019 | 61 | 2019 |
| 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 | 40 | 2019 |
| 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 | 34 | 2019 |
| Towards interpretation of recommender systems with sorted explanation paths F Yang, N Liu, S Wang, X Hu 2018 IEEE International Conference on Data Mining (ICDM), 667-676, 2018 | 26 | 2018 |
| EXACT: Scalable graph neural networks training via extreme activation compression Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu International Conference on Learning Representations, 2021 | 19 | 2021 |
| Large-scale heterogeneous feature embedding X Huang, Q Song, F Yang, X Hu Proceedings of the AAAI conference on artificial intelligence 33 (01), 3878-3885, 2019 | 19 | 2019 |
| Model-based counterfactual synthesizer for interpretation F Yang, SS Alva, J Chen, X Hu Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 13 | 2021 |
| Trust evolution over time in explainable AI for fake news detection S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ... Fair & Responsible AI Workshop at CHI 2020, 2020 | 13* | 2020 |
| 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 | 11 | 2021 |
| Joint bandwidth and power allocation for energy efficiency optimization over heterogeneous LTE/WiFi multi-homing networks X Zhang, F Yang 2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2017 | 10 | 2017 |
| A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network F Yang, Q Yang, F Fu, KS Kwak 2014 14th International Symposium on Communications and Information …, 2014 | 10 | 2014 |
| Generative counterfactuals for neural networks via attribute-informed perturbation F Yang, N Liu, M Du, X Hu ACM SIGKDD Explorations Newsletter 23 (1), 59-68, 2021 | 7 | 2021 |
| Learning credible DNNs via incorporating prior knowledge and model local explanation M Du, N Liu, F Yang, X Hu Knowledge and Information Systems 63, 305-332, 2021 | 7 | 2021 |
| Generalized demographic parity for group fairness Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu International Conference on Learning Representations, 2022 | 5 | 2022 |
| Xdeep: An interpretation tool for deep neural networks F Yang, Z Zhang, H Wang, Y Li, X Hu arXiv preprint arXiv:1911.01005, 2019 | 5 | 2019 |
| Contextual local explanation for black box classifiers Z Zhang, F Yang, H Wang, X Hu arXiv preprint arXiv:1910.00768, 2019 | 5 | 2019 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
