| 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 | 122* | 2020 |
| Fairness in deep learning: A computational perspective M Du, F Yang, N Zou, X Hu IEEE Intelligent Systems, 2020 | 46 | 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 | 41 | 2019 |
| Evaluating explanation without ground truth in interpretable machine learning F Yang, M Du, X Hu arXiv preprint arXiv:1907.06831, 2019 | 35 | 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 | 25 | 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 | 20 | 2020 |
| 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 | 18* | 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 | 13 | 2018 |
| 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 | 11 | 2019 |
| 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 |
| 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 | 8 | 2017 |
| Xdeep: An interpretation tool for deep neural networks F Yang, Z Zhang, H Wang, Y Li, X Hu arXiv preprint arXiv:1911.01005, 2019 | 3 | 2019 |
| Contextual local explanation for black box classifiers Z Zhang, F Yang, H Wang, X Hu arXiv preprint arXiv:1910.00768, 2019 | 3 | 2019 |
| 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 | 2 | 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 (2), 305-332, 2021 | 2 | 2021 |
| Distributed optimal green power allocation for d2d based cellular networks with long-term QoS constraint F Yang, X Zhang 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 2 | 2016 |
| Deep neural networks with knowledge instillation F Yang, N Liu, M Du, K Zhou, S Ji, X Hu Proceedings of the 2020 SIAM International Conference on Data Mining, 370-378, 2020 | 1 | 2020 |
| Spectrum utility driven WiFi offloading over NOMA-based cellular network edges X Zhang, F Yang 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 1 | 2017 |
| Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks F Yang, Q Yang, KS Kwak IEICE Transactions on Communications 99 (No. 6), 1386-1394, 2016 | 1 | 2016 |
| A QoE-based Joint Bandwidth and Power Allocation Method for Multiple RATs in HetNets F Yang, Q Yang, KS Kwak, F Fu ICT Express 1 (1), 39-43, 2015 | 1 | 2015 |
